JP2836565B2 - Tension state estimation device with multiple biological information selection function - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for estimating a tension state using biological information, and more particularly to a method for selecting a plurality of biological information to be used so as to switch the biological information to be used so as not to be affected by noise mixed in the biological information. The present invention relates to a tension state estimation device with a function.

[0002]

2. Description of the Related Art Conventionally, this kind of tension state estimating apparatus is intended to measure the stress and tension state of a user when using a computer terminal or driving a car. For example, Japanese Patent Application No. Hei 02-213892 discloses a method of measuring skin electrical activity, finger plethysmogram, body temperature, movement, and muscular movement. There is described a technique for judging the state of the living body and controlling the state of the living body while ensuring the safety of the living body.

Japanese Patent Application No. 05-85816 discloses pupil area, blood flow, heart sound chart, electrocardiogram, electrocardiogram, heart rate, heartbeat interval, heartbeat fluctuation, fingertip pulse wave amplitude, blood pressure, saliva secretion, saliva secretion. Speed, respiratory flow, expiratory component, skin resistance, gastric fluid p
H, body temperature, respiratory rate, sweat rate, sweat rate, brain wave, magnetoencephalogram,
A technology that outputs autonomic nervous activity that reflects tension and stress by expressing the latest measured value as a ratio to a reference value for each subject using blood glucose level, blood hormone concentration, etc. as a measurement index is described. ing.

[0004] JP-A-07-010024 and JP-A-07-096802 measure the heart rate and heartbeat fluctuation of a driver of an automobile, detect whether the driver is in a tense state, and control the vehicle. It describes the technology used.

[0005] Japanese Patent Application Laid-Open No. 02-208710 discloses an index which focuses on the influence of necessary factors by evaluating one index representing a psychological state from a correlation of a plurality of biological information, and further evaluates a plurality of indexes. A technique for estimating the psychological state of a plant operator by calculating the following equation is described.

[0006] Japanese Patent Application Laid-Open No. 01-094825 describes a technique of measuring blood flow, performing frequency analysis, and separating the signal into a baseline sway and a pulse wave signal to output information for judging a health condition. Have been.

[0007] These conventional techniques can be used without any problem when biometric information containing no noise is input. However, in any case, since a means for dealing with noise is not included, when noise is mixed in the biological information, the reliability of output information such as an estimated tension state, mental and physical state, and health state is impaired. There's a problem.

In the case where one or more types of biological information are measured in an everyday situation, and the obtained biological information is analyzed to estimate a tension state, the reliability of the result depends on the quality of the estimation method. Of course, it largely depends on the method and means for removing noise. Noise, which is a problem in biological information measurement, can be classified into noise caused by the measurement environment and noise caused by body movement of the subject, with respect to the generation factors.

The noise caused by the measurement environment includes noise generated by surrounding electric equipment and hum noise. Noise due to body movement of the subject includes noise due to mixing of myoelectric activity and variation in the contact state of the sensor. Most of the prior arts related to the removal of noise due to environmental factors use a technique of obtaining and subtracting a noise component.

For example, Japanese Unexamined Utility Model Publication No. Sho 61-060908 discloses a technique for removing a periodic noise such as a hum noise by generating a pulse correlated with the periodic noise by a comparative reference wave generator. ing.

Japanese Utility Model Application Laid-Open No. 63-111105 describes a technique for detecting the phase and amplitude of hum noise and subtracting the detected hum noise from a biological signal to remove the hum noise.

Japanese Patent Application Laid-Open No. 59-223897 discloses that noise is stored by repeatedly subtracting a noise signal stored in synchronism with the noise component at predetermined intervals using a persistent signal during a resting state of a biological signal. Techniques for removal are described.

In the case where noise components can be measured, such as noise from an electric scalpel or ambient vibration, there is a conventional technique for removing noise using information on the noise source. For example, Japanese Patent Application Laid-Open No. 07-039534 describes a technique for obtaining electrocardiogram data which is not affected by noise caused by an electric scalpel by changing the lead axis of the electrocardiogram according to the incision position by the electric scalpel.

Japanese Patent Application Laid-Open No. 05-261107 describes a technique for obtaining accurate heart rate data by detecting vibrations of a vehicle body and removing them from biological signals in a vehicle-mounted heart rate detecting device.

There is a conventional technique for correcting a measurement signal for noise whose generation time and magnitude are indefinite, such as noise caused by body motion.

For example, Japanese Unexamined Utility Model Publication No. 01-0556208 discloses that when noise is mixed in a pulse wave signal, the influence of the noise is reduced by forcibly returning the starting point of the pulse wave signal to a predetermined reference point. There is described a technique for obtaining pulse wave data in which the pulse wave data is reduced.

Japanese Patent Application Laid-Open No. 07-059738 discloses that the latest effective measurement value is held, and when it is determined that noise is mixed, the value is held instead of the measured value with noise mixed. Is described to obtain a measurement value in an always valid range.

However, none of the noise elimination apparatuses and methods have means for performing processing more than noise elimination, and therefore do not output mental and physical states such as tension and health.

[0019]

A first problem with the prior art relating to a technique for estimating a psychosomatic state using biological information is that when a measurement value is mixed with noise, estimation of the psychosomatic state is correctly performed. Or the reliability of the estimation result is impaired. The reason is,
There is no means for removing noise caused by the measurement environment and body movement or means for estimating the mental and physical condition while dealing with the noise. Further, another reason is that among the conventional noise removal techniques, the technique of subtracting the noise component cannot deal with the noise caused by the body motion, which is particularly problematic.
It is unclear whether the value correctly reflects the tension at the latest time.

The second problem is that in everyday situations where noise frequently occurs, it is difficult to use the conventional psychosomatic state estimation technology, and its practicality is low. The reason for this is that the first problem, that is, when noise is mixed in the measured value, the mental and physical state cannot be correctly estimated, or the reliability of the estimation result is impaired.

It is an object of the present invention to correctly estimate a physical and mental state even when noise is mixed in a measured value.
It is an object of the present invention to provide a tension state estimation device that does not impair the reliability of the estimation result.

Another object of the present invention is to provide a tension state estimating apparatus which is highly practical and can be used even in everyday situations where noise frequently occurs.

[0023]

According to a first aspect of the present invention, there is provided a tension state estimating apparatus having a function of selecting a plurality of pieces of biological information. When the tension state estimation is performed and the noise determination result of the channel used as the tension state estimation result output by the device indicates that noise is mixed, the tension state estimation result of another channel is used as the output of the device. Thus, it has a function of switching the channel to be selected.

According to a second aspect of the present invention, there is provided a tension state estimating apparatus having a function of selecting a plurality of living body information, wherein the time series data of the living body information of a plurality of channels is used as an input signal, and a noise judgment and a state estimation of the living body information are performed in each channel. The apparatus has a function of selecting a channel to be output so that the results of estimating the tension state of all channels in which noise is not mixed are used as outputs of the apparatus.

According to a third aspect of the present invention, there is provided a tension state estimating apparatus having a function of selecting a plurality of biological information, wherein the time series data of the biological information of a plurality of channels is used as an input signal, and noise determination and estimation of the tension state from the biological information are performed in each channel. It is characterized in that a noise determination result signal and a tension state estimation result signal are output as a set for all channels.

The tension state estimating apparatus with a function of selecting a plurality of biological information according to the fourth invention ( the invention according to claim 1) is characterized in that the time series data of the biological information of a plurality of channels is used as an input signal and noise is generated in accordance with the biological information of each channel. A processing unit for each input channel which performs determination and estimation of a tension state and outputs a noise determination result signal and a tension estimation result signal; and receives and stores the noise determination result signals of all channels, and designates a noise determination result of any channel An all-channel noise determination result storage unit that receives a channel selection signal designating whether to output as a channel noise determination result signal and outputs the noise determination result signal of one channel as the specified channel noise determination result signal; Receiving and storing the tension state estimation result signal and the tension state estimation result of a channel used as an output of the device; A first all-channel tension state estimation result storage unit that outputs a signal as a designated channel tension state estimation result signal; and an all-channel noise determination result storage unit.
When the channel selection signal is sent and the obtained specified channel noise determination result signal indicates the contamination of noise, the noise of the remaining channels is output by outputting the channel selection signal specifying another channel. The judgment result is inspected one channel at a time, and if a channel free of noise is obtained, an output control signal for instructing the tension state estimation result signal of the channel to be an output signal of the device is output. If a channel containing no noise is not obtained among all the channels being measured, an output control signal for instructing that the tension state estimation result of all the channels is invalid is output as the output signal. A first output switching control unit that performs the operation, and when the output control signal specifies a channel to be used as an output of the device, Is sent to the first all channel tension state estimation result storage unit, and the obtained designated channel tension state estimation result signal is output as an output signal, and the output control signal is the tension state of all channels. When the estimation result indicates that the estimation result is invalid, a switching output unit that outputs that the tension state estimation result of all channels is invalid is provided.

[0027] In the fifth aspect ( the invention according to claim 2) , the tension state estimating apparatus with a plurality of biometric information selection functions uses the biometric information time-series data of a plurality of channels as an input signal and generates noise in accordance with the biometric information of each channel. An input channel-specific processing unit that performs determination and tension state estimation and outputs a noise determination result signal and a tension state estimation result signal, and receives and stores the tension state estimation result signals of all channels, and determines a noise determination result of any channel. An all-channel noise determination result storage unit that receives a channel selection signal that specifies whether to output the specified channel noise determination result signal and outputs the noise determination result signal of one channel as the specified channel noise determination result signal; Receiving and storing the tension state estimation result signal of the plurality of channels, and using the tension state of a plurality of channels to be used as an output of the apparatus. A second all-channel tension state estimation result storage unit that outputs an estimation result signal as a designated channel tension state estimation result signal; and the designated channel noise determination result signal by sending the channel selection signal to the all channel noise decision result storage unit. Is repeated by changing the channel specified by the channel selection signal until the noise determination results of all the channels are obtained. If there is a channel in which noise is not mixed, the tension state estimation result signal of all the channels is obtained. A second output switching control for outputting a plurality of output control signals instructing the output signal of the apparatus to be an output signal indicating that the tension state estimation results of all the channels are invalid if there is no channel containing no noise. Department and
When there is a channel in which noise is not mixed according to the multiple output control signal, an estimation result multiple selection signal for selecting a channel to be used as an output of the device is sent to the second all-channel tension state estimation result storage unit, Obtains the tension state estimation result signal and outputs the tension state estimation result of a plurality of selected channels as an output signal, and outputs that the tension state estimation result of all channels is invalid when noise is mixed in all channels. And a multi-selection output section for outputting as a signal.

According to a sixth aspect of the present invention, there is provided a tension state estimating apparatus having a function of selecting a plurality of living body information, wherein the time series data of the living body information of a plurality of channels is used as an input signal to perform noise judgment and estimation of the state of tension in accordance with the living body information of each channel. A processing unit for each input channel that outputs a noise determination result signal and a tension state estimation result signal, and receives the noise determination result signal and the tension state estimation result signal for all channels, and receives the noise determination result signal and the tension for all channels. An all-channel information output unit that outputs a batch output signal in which the state estimation result signals are grouped.

The tension state estimating device with a function of selecting a plurality of biological information according to the seventh invention (the invention according to claim 3) has a fourth
The tension state estimating apparatus with a plurality of biological information selecting functions described above is characterized in that the apparatus has means for a user to set which channel's tension state estimation result is to be used as an initial output signal of the apparatus.

The plurality biometric information selection function tension estimating apparatus of the eighth invention (the invention according to claim 4), fourth,
The fifth or seventh aspect of the present invention is the tension state estimating apparatus with a plurality of biological information selecting functions, further comprising means for performing a noise determination using a time change of the input signal.

The ninth aspect plurality biometric information selection function tension estimating apparatus (the invention according to claim 5), fourth,
The fifth, seventh, or eighth aspect of the present invention provides the tension state estimating apparatus with a plurality of biological information selecting functions, characterized in that the apparatus has means for estimating a tension state using a time change of an input signal.

[0032] The tenth invention (the invention according to the sixth invention) is provided with a tension state estimating apparatus having a function of selecting a plurality of biological information .
The fifth, seventh, eighth, or ninth aspect of the present invention provides the tension state estimating apparatus with a plurality of biometric information selection functions, wherein the user has means for setting a reference value used for determining whether or not noise is mixed into the biometric information. Features.

In the eleventh invention ( the invention according to claim 7) , the tension state estimating device with a function of selecting a plurality of living body information ,
The fifth, seventh, eighth, ninth, or tenth aspect of the present invention provides the tension state estimating apparatus with a plurality of biological information selecting functions, wherein the user has means for setting a reference value used for estimating the tension state from the biological information. It is characterized by the following.

According to a first aspect of the present invention, there is provided a tension state estimating apparatus having a function of selecting a plurality of living body information, wherein time series data of living body information of a plurality of channels is used as an input signal, and in each channel, a noise judgment and a state estimation are performed from the living body information. When the noise determination result of the channel used as the tension state estimation result output from the device indicates that noise is mixed, the channel to be selected is selected so that the tension state estimation result of another channel is used as the output of the device. With the function of switching, when noise is mixed in the biological information used as the output of the device, it is possible to switch the tension state estimation result from another biological information to the output of the device, and to estimate the tension state. It is possible to do it correctly.

According to a second aspect of the present invention, there is provided a tension state estimating apparatus having a function of selecting a plurality of biological information, wherein the time series data of the biological information of a plurality of channels is used as an input signal, and a noise judgment and a tension state estimation from the biological information are performed in each channel. Since the apparatus has a function of selecting a channel to be output so as to use, as the output of the apparatus, the estimation results of the tension states of all the channels without noise, all the estimation results of the tension states of the channels without noise are output. This makes it possible to examine in detail the tension state estimation result from different biological information.

A tension state estimating apparatus having a function of selecting a plurality of biological information according to a third aspect of the present invention uses the time series data of the biological information of a plurality of channels as an input signal, and performs noise determination and estimation of the tension state from the biological information in each channel. The present invention has a function of outputting a noise determination result signal and a tension state estimation result signal as a set for all channels, and therefore, when estimating a tension state while monitoring the state of the measurement signal of all channels, the present invention is used. It can be used.

According to the fourth aspect of the present invention, the tension state estimating apparatus having a function of selecting a plurality of biological information has a processing unit for each input channel. The noise determination result signal and the tension state estimation result signal, and can output the noise determination result signal and the tension state estimation result signal. Receiving a channel selection signal designating which channel to output a noise determination result signal as a designated channel noise determination result signal, and outputting the noise determination result signal of one channel as the designated channel noise determination result signal. And a first all-channel tension state estimation result storage unit. Accept and store the state estimation result signal,
The tension state estimation result signal of the channel used as an output of the device can be output as a designated channel tension state estimation result signal, and since the first output switching control unit is provided, the all-channel noise determination result storage unit includes: When the channel selection signal is sent and the obtained specified channel noise determination result signal indicates the contamination of noise, the noise of the remaining channels is output by outputting the channel selection signal specifying another channel. The judgment result is inspected one channel at a time, and if a channel free of noise is obtained, an output control signal for instructing the tension state estimation result signal of the channel to be an output signal of the device is output. If no noise-free channel is obtained among all the channels being measured, tension on all channels An output control signal that instructs that the state estimation result is invalid as the output signal can be output, and the output control signal specifies a channel to be used as an output of the device because the output control signal has a switching output unit. If it is, the estimation result selection signal for selecting the channel is sent to the first all-channel tension state estimation result storage unit, and the obtained designated channel tension state estimation result signal is output as an output signal, and the output control is performed. When the signal indicates that the tension state estimation result of all channels is invalid, it can be output that the tension state estimation result of all channels is invalid.

Thus, when noise is mixed in the biological information used as the output of the device, the result of the tension state estimation from another biological information can be switched to the output of the device, and the estimation of the tension state can be correctly performed. It is possible to do.

According to the fifth aspect of the present invention, since the tension state estimating apparatus with a function of selecting a plurality of biological information has a processing unit for each input channel, the time series data of the biological information of a plurality of channels is used as an input signal, and the apparatus is adapted to the biological information of each channel. Noise determination and tension state estimation, and can output a noise determination result signal and a tension state estimation result signal. Since the apparatus has the all-channel noise determination result storage unit, it receives the tension state estimation result signals of all channels. Receiving a channel selection signal designating which channel noise determination result is to be output as a specified channel noise determination result signal, and outputting the noise determination result signal of one channel as the specified channel noise determination result signal And having the second all-channel tension state estimation result storage unit,
The tension state estimation result signals of all channels are received and stored, and the tension state estimation result signals of a plurality of channels used as output of the device can be output as designated channel tension state estimation result signals. Since the control unit has the control unit, transmitting the channel selection signal to the all-channel noise determination result storage unit to obtain the designated channel noise determination result signal is performed by the channel selection signal until the noise determination results of all the channels are obtained. Repeatedly changing the designated channel, if there is a channel without noise, use the tension state estimation result signals of all the channels as output signals of the apparatus. Outputs a multiple output control signal instructing that the estimation result of the tension state is invalid as an output signal. Since there is a plurality of selection output units, according to the plurality of output control signals, when there is a channel in which noise is not mixed, an estimation result multiple selection signal for selecting a channel to be used as an output of the device is output to the second output control unit. Send to the all-channel tension state estimation result storage unit, obtain a plurality of channel tension state estimation result signals, output the tension state estimation results of a plurality of selected channels as output signals, and if noise is mixed in all channels, The fact that the estimation result of the tension state of the channel is invalid can be output as an output signal.

Thus, it is possible to output all the estimation results of the tension state of the channel in which the noise is not mixed, and it is possible to examine the estimation results of the tension state from different biological information in detail.

According to the sixth aspect of the present invention, since the tension state estimating apparatus with a function of selecting a plurality of biological information has a processing unit for each input channel, the time series data of the biological information of the plurality of channels is used as an input signal, and the processing is performed in accordance with the biological information of each channel. The noise determination result signal and the tension state estimation can be performed, and the noise determination result signal and the tension state estimation result signal can be output. Since the all channel information output unit is provided, the noise determination result signal and the tension state estimation for all the channels are provided. In response to the result signal, it is possible to output a batch output signal in which the noise determination result signal and the tension state estimation result signal are combined for all channels.

This makes it possible to utilize the present invention when estimating the tension state while monitoring the state of the measurement signals of all the channels.

According to a seventh aspect of the present invention, there is provided a tension state estimating apparatus with a plurality of biological information selecting functions according to the first or fourth aspect of the present invention, wherein any of the channels is used as an initial output signal of the apparatus. Since the user has means for setting whether to use the tension estimation result,
The user can set which channel's tension state estimation result is to be used as the initial output signal of the device.

According to an eighth aspect of the present invention, there is provided a tension state estimating apparatus with a plurality of biological information selecting functions according to the first, second, or third aspect of the present invention, wherein a time change of an input signal is used. Therefore, it is possible to more effectively utilize the characteristics of the biological information being measured and the characteristics of the measurement system to determine noise contamination.

According to a ninth aspect of the present invention, there is provided a tension state estimating apparatus with a plurality of biometric information selecting functions, wherein the first, second, third or fourth strain state estimating apparatus with a plurality of biometric information selecting functions is capable of detecting a time change of an input signal. Since there is a means for estimating the state of tension using the above, it is possible to estimate the state of tension using the characteristics of the biological information being measured and the characteristics of the measurement system more effectively.

According to a tenth aspect of the present invention, there is provided a tension state estimating apparatus having a function of selecting a plurality of biological information, comprising: a first, a second, a third, a fourth, a fifth and a fifth;
According to the sixth, seventh, eighth, or ninth aspect of the present invention, the tension state estimating apparatus with a plurality of biological information selecting functions includes means for allowing a user to set a reference value used to determine whether noise is mixed into biological information. In addition, the user can set a reference value for noise determination according to biological information measured in each channel.

According to an eleventh aspect of the present invention, there is provided a tension state estimating apparatus having a function of selecting a plurality of living body information.
The tension state estimating apparatus with a multiple biological information selection function according to the sixth, seventh, eighth, ninth, or tenth aspect of the present invention, further comprises means for allowing a user to set a reference value used for estimating a tension state from biological information. Therefore, the user can set a reference value for estimating the tension state according to the biological information measured in each channel.

A first effect of the present invention is that even if noise is mixed in the biological information being measured, the state of tension can be correctly estimated.

The reason is that a plurality of pieces of biometric information are measured, a tension state is estimated for each piece of biometric information, and when noise is mixed into the biometric information used as an output of the apparatus, another biometric information is used. This is because the result of the tension state estimation is switched to the output of the apparatus.

The second effect is that it is possible to examine in detail the tension state estimation result from different biological information.

The reason is that it is possible to output all the estimation results of the tension state of the channel in which noise is not mixed.
Also, this is because the user can set which channel's tension state estimation result is to be used.

A third effect is that it is possible to estimate the tension state while monitoring the state of the measurement signal.

The reason is that the noise determination result and the tension state estimation result can be output as a set for all measured channels.

The fourth effect is that it is possible to determine the noise mixing by using the characteristics of the biological information being measured and the characteristics of the measurement system more effectively.

The reason is that noise determination can be performed by using a time change of an input signal, and a user can set a reference value used for determining noise mixing in biological information.

The fifth effect is that the tension state can be estimated by more effectively utilizing the characteristics of the biological information being measured and the characteristics of the measurement system.

The reason is that the tension state can be estimated using the time change of the input signal, and the user can set a reference value used for estimating the tension state from the biological information.

A sixth effect is that it is possible to realize a highly practical tension state estimation which can be used even in a daily scene where noise frequently occurs.

The reason is that if a plurality of pieces of biological information which are hard to mix noise at the same time are used,
This significantly improves the reliability of estimating the state of tension in everyday situations.

[0060]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A first embodiment of the present invention will be described in detail with reference to the drawings.

FIG. 1 is a block diagram showing a configuration according to the first embodiment of the present invention. As shown in FIG. 1, a first embodiment of the present invention is a processing unit 1 for each input channel.
(I), the all-channel noise determination result storage unit 2,
And a first output switching control unit 4 and a switching output unit 5. In the first embodiment, time-series data of biological information for n channels is input, and when there is a channel in which noise is not mixed, a tension state estimation result of one of the channels is output to an output signal of the apparatus. An example is shown in which, when noise is mixed in all channels, a signal indicating that the result of estimation of the tension state of all channels is invalid due to noise is used as an output signal of the apparatus. In FIG. 1, i indicates each input channel, and is a natural number of 1 or more and n or less. Hereinafter, the description using i is a description representative of the processing performed in all of channels 1 to n. For example, when the description is given as the processing unit 1 (i) for each input channel, the description also applies to the processing units 1 (1) to 1 (n) for each input channel.

The input channel-specific processing section 1 (i) receives the biological information input to the channel i, that is, the input signal 100
In response to (i), noise mixing is determined according to the characteristics of the input signal 100 (i), and the result of the determination is output as a noise determination result signal 110 (i). Further, the input channel-specific processing unit 1 (i) estimates the tension state according to the characteristics of the input signal 100 (i), and outputs the estimation result as a tension state estimation result signal 120 (i).

The all-channel noise determination result storage unit 2 stores the noise determination result signal 1
10 (i), all of the noise determination result signals 110 (1) to 110 (n) are stored. The all-channel noise determination result storage unit 2 stores the channel selection signal 40 output by the first output switching control unit 4.
0, the noise determination result signal 110 (i) of the channel designated by
Output as 00.

The first all-channel tension state estimation result storage unit 3 receives the tension state estimation result signal 120 (i) from the input channel-specific processing unit 1 (i), and receives the tension state estimation result signal 1
All the tension state estimation result signals 120 (n) from 20 (1) are stored. The first all-channel tension state estimation result storage unit 3 receives the estimation result selection signal 500 output from the switching output unit 5, and receives the tension state estimation result signal 120 (i) of the channel designated by the estimation result selection signal 500. To
The designated channel tension state estimation result signal 300 is output.

The first output switching control unit 4 outputs a channel k (1 ≦ k ≦ 1) as an output signal of the device of the first embodiment.
When the tension state estimation result indicated by the tension state estimation result signal 110 (k) of n) is used, a channel selection signal 400 indicating selection of the channel k is sent to the all-channel noise determination result storage unit 2 and noise determination is performed. Result signal 110
(K) is obtained as the designated channel noise determination result signal 200. Obtained designated channel noise determination result signal 200
If the signal indicates that no noise is mixed, an output control signal 410 indicating that the channel k is to be selected is sent to the switching output unit 5 as it is. If the obtained designated channel noise determination result signal 200 indicates that noise is mixed, the channel selection signal 400 for selecting another channel is stored in the all-channel noise determination result storage unit 2.
And when a channel m (1 ≦ m ≦ n) is selected and a designated channel noise determination result signal indicating that noise is not mixed is obtained, the tension state estimation result of channel m is selected as an output of the apparatus. An output control signal 410 indicating that the operation is to be performed is sent to the switching output unit 5. If the noise determination result signals of all the channels indicate that noise is mixed, the first output switching control unit 4 outputs an output indicating that the tension state estimation results at that time are invalid. The control signal 410 is sent to the switching output unit 5. More specifically, when the channel k is specified by the channel selection signal 400 and the obtained specified channel noise determination result signal 200 indicates that noise is mixed, the first output switching control unit 4 channel selection signal 40 for selecting k + 1
"0" is sent to the all-channel noise determination result storage unit 2 to obtain a new designated channel noise determination result signal 200. When the designated channel noise determination result signal 200 indicates that noise is mixed, the first output switching control unit 4
Is a channel selection signal 400 for selecting channel k + 2
To the all-channel noise determination result storage unit 2. The channel to be selected is changed in this way, and when the designated channel noise determination result signal 200 indicating that noise is not mixed up to channel n is not obtained, the process returns to channel 1 and no noise is mixed. Until the designated channel noise determination result signal 200 indicating that the channel designation is obtained, the channel designation is sequentially increased by one. Channel designation is k
If the designated channel noise determination result signal 200 indicating that noise is not mixed in the channel m (1 ≦ m ≦ n) is obtained before returning to −1, the first output switching control unit 4
Is an output control signal 4 indicating that the tension state estimation result signal 120 (m) of the channel m is used as an output of the apparatus.
10 is sent to the switching output unit 5. If the designated channel noise determination result signal 200 for all channels indicates that noise is mixed, the first output switching control unit 4 determines that the tension state estimation results for all channels at that time are invalid. Output control signal 41 for instructing to output
0 is sent to the switching output unit 5.

The switching output unit 5 receives the output control signal 410, and if the output control signal 410 indicates that a certain channel m is to be selected, the switching output unit 5 stores the output in the first all-channel tension state estimation result storage unit 3. , Sends the estimation result selection signal 500 indicating selection of the tension state estimation result of the channel m, receives the tension state estimation result signal 120 (m) of the channel m as the designated channel tension state estimation result signal 300, and outputs it as the output signal 510. Output as Output control signal 41
When 0 indicates that the tension state estimation results of all channels at that time are invalid, the switching output unit 5
An output signal 510 indicating that the tension state estimation result of all channels at that time is invalid is output.

Next, the internal configuration and functions of the input channel-specific processing section 1 (i) will be described with reference to the drawings. As shown in FIG. 1, the input signal 100 (i) received by the input channel-specific processing unit 1 (i) is branched into two systems inside the input channel-specific processing unit 1 (i), one of which is the first signal. The noise determination unit 6 (i) includes the other, the first tension state estimation unit 7
Enter (i). Of course, as shown in FIG. 2, the input signal 100 (i) may be branched into two systems first and then input to the input channel-specific processing unit 1 (i).

FIG. 3 is a block diagram showing the internal configuration of the first noise determination section 6 (i).

As shown in FIG. 3, the first noise determination section 6
The input signal 100 (i) entering (i) enters the first noise mixing determination unit 61 (i). The first noise mixing determination unit 61 (i) receives the input signal 100 (i), receives the noise determination reference value 6200 (i) from the noise determination reference value holding unit 62 (i), and receives the input signal 100 (i).
Based on (i) and the noise determination reference value 6200 (i), it is determined whether or not noise is mixed according to a preset rule based on the characteristics of the measurement system, the measurement conditions, and the characteristics of the biological information to be measured. The result is output as a result signal 110 (i). For example, when the normal range of the value of the input signal 100 (i) can be set from the characteristics of the measurement system related to the input signal 100 (i), the measurement conditions, and the characteristics of the biological information to be measured, the noise determination reference value is held. The unit 62 (i) holds the upper limit and the lower limit of the normal range as the noise determination reference value 6200 (i). The characteristics of the measurement system involved in setting the normal range of the value of the input signal 100 (i) include, for example,
There are an amplification factor when amplifying the biological signal to be detected, characteristics of a filter, and the like. The measurement conditions include, for example, a measurement environment such as temperature and humidity, a position at which the biological signal is detected, and the like. The characteristic of the biological information to be measured is, for example, an index such as blood pressure or heart rate that is a clear normal range, or an index such as an electroencephalogram that cannot be a large potential. Etc. Such an input signal 100 (i)
For example, the input signal 100 (i) is generated by a fingertip pulse wave, a fingertip pulse wave amplitude value, a blood pressure value, a heart rate, and an instantaneous heartbeat using characteristics of a measurement system, measurement conditions, and characteristics of biological information to be measured. In the case of a number or the like, the normal range is set to the noise determination reference value 6200.
It can be set as (i). Input signal 10
If 0 (i) is a minute potential like an electroencephalogram and an upper limit that the original signal can take can be set, the product of the upper limit of the original signal and the amplification factor of the measurement system is calculated as a noise determination reference value 6200 (i). )
Can be set as By using the noise determination reference value 6200 (i) set in this way, the first noise mixing determination unit 61 (i) allows the value of the input signal 100 (i) to be within the normal range or below the upper limit value. At this time, it can be determined that noise is not mixed, and when the value of the input signal 100 (i) is out of the normal range or exceeds the upper limit, it can be determined that noise is mixed. it can.

FIG. 4 is a block diagram showing the internal configuration of the first tension state estimating unit 7 (i).

As shown in FIG. 4, the input signal 100 (i) that has entered the first tension state estimating section 7 (i) enters the first state estimating section 71 (i). First state estimating unit 71 (i)
Receives the input signal 100 (i) and receives the state estimation reference value 7200 from the state estimation reference value holding unit 72 (i).
In response to (i), the state of tension is determined from the input signal 100 (i) and the state estimation reference value 7200 (i) according to a state estimation rule preset from characteristics of the measurement system, measurement conditions, and characteristics of the biological information to be measured. And outputs the result of the estimation as a tension state estimation result signal 120 (i).

For example, if the input signal 100 (i) can set a normal range such as blood pressure or heart rate and can set it to take a value corresponding to the tension state, the heart rate or the instantaneous heart rate can be set. If the value is equal to or more than the predetermined value, it is estimated that the tension is high, and if the value is equal to or less than another predetermined value, it is estimated that the tension is low. Such a default value is used as the state estimation reference value 7200.
(I), and by setting such a rule as the state estimation rule in the first state estimation unit 71 (i), the first state estimation unit 71 (i) becomes nervous. The state can be estimated.

FIG. 5 is a block diagram showing the internal configuration of the first output switching control section 4.

As shown in FIG. 5, the first output switching control section 4 comprises a test channel initial value setting section 41, a test channel selection section 42, and a first noise judgment result test section 43. The test channel initial value setting unit 41 holds an initial value of a channel that specifies which channel's tension state estimation result is to be used as an output of the device, and uses this initial value as a test channel initial value 4100 at the start of operation of the device. This is sent to the inspection channel selection unit 42. Inspection channel selector 42
Is a test channel initial value 4100 at the start of operation of the apparatus.
Output a channel selection signal 400 for selecting the channel indicated by. The first noise determination result inspection unit 43 receives the specified channel noise determination result signal 200 indicating the noise determination result of the channel specified by the channel selection signal 400, and the specified channel noise determination result signal 200 indicates that noise is mixed. In this case, a test channel change signal 4300 instructing to select another channel is sent to the test channel selecting unit 42, and the designated channel noise determination result signal 20
When 0 indicates that no noise is mixed, an output control signal 410 instructing to use the estimation result of the tension state of the channel selected at this time as an output of the apparatus is sent to the switching output unit 5. . When the designated channel noise determination result signal 200 indicating that no noise is mixed cannot be obtained by one test channel change, the test channel change is repeated. The noise determination result unit 43 instructs to use the tension state estimation result of the channel as an output signal of the apparatus if a channel free of noise is obtained by the time the noise determination results of all input channels are checked. When the output control signal 410 is output and the noise determination results of all the channels indicate that noise is mixed, an output signal indicating that the tension state estimation results of all the channels at that time are invalid is output. An output control signal 410 for instructing is output.

Next, the operation of the first embodiment will be described.
An example in which the fingertip pulse wave amplitude value, instantaneous heart rate and blood pressure are input signals will be described with reference to FIG. It is assumed that the initial state of the apparatus is set to use the estimation result of the tension state of the input channel 1 as the output of the apparatus. Here, all input signals are time-series data obtained at each time interval Δt, and at time t, the input channel-specific processing unit 1 (1) outputs the fingertip pulse wave amplitude value to the input signal 100.
(1), the input channel-specific processing unit 1 (2) receives the instantaneous heart rate as the input signal 100 (2), and the input channel-specific processing unit 1 (3) receives the blood pressure as the input signal 10 (2).
Enter as 0 (3). By the time t + Δt when the next input signal of each channel is obtained, the processing unit 1 for each input channel
(I) The all-channel noise determination result storage unit 2, the first all-channel tension state estimation result storage unit 3, the first output switching control unit 4, and the switching output unit 5 perform the following processing.

First, in each input channel processing section 1 (i), the first noise determination section 6 (i) outputs the input signal 100 (i).
A noise determination suitable for (i) is performed, and a noise determination result signal 110 (i) is output. The first tension state estimating unit 7 (i) performs a tension state estimation adapted to the input signal 100 (i), and outputs a tension state estimation result signal 120 (i).

In the example of FIG. 6, the processing unit 1 (1) for each input channel converts the fingertip pulse wave amplitude value into the input signal 100.
(1). Inside the first noise determination unit 6 (1), the noise determination reference value holding unit 62 (1) stores the input signal 100 (1), that is, the possible value of the fingertip pulse wave amplitude value, as described above. Noise determination reference value 620 indicating the range
0 (1) is held. At time t, the first noise mixing determination unit 61 (1) receives the input signal 100 (1) and the noise determination reference value 6200 (1), and as shown in FIG. 7A, determines the value of the input signal 100 (1). Is the noise judgment reference value 62
If it is within the range indicated by 00 (1), it is determined that noise is not mixed, and as shown in FIG.
If the value of (1) is out of the range indicated by the noise determination reference value 6200 (1), it is determined that noise has entered. The first noise mixing determination unit 61 (1) outputs this noise determination result as a noise determination result signal 110 (1).

Inside the first tension state estimating section 7 (1), the state estimation reference value holding section 72 (1) stores the input signal 100 (1), that is, the fingertip pulse wave amplitude value, as described above. , The default value indicating the level of the tension state is held as the state estimation reference value 7200 (1). At time t, first state estimating section 71 (1) receives input signal 100 (1) and state estimation reference value 7200 (1). For example, as described in “Stress Mechanism and Active Response”, p. 151, published by Sato and Asanaga, published by Fujita Planning Publishing Co., Ltd., the fingertip pulse wave amplitude value becomes smaller as the tension becomes higher. FIG.
a, the pulse wave amplitude value is the state estimation reference value 7200
When it is smaller than (1), it can be estimated that the tension is high, and when the pulse wave amplitude value is equal to or greater than the state estimation reference value 7200 (1), it can be estimated that the tension is low. If a plurality of reference values are set in the state estimation reference value 7200 (1) as shown in FIG. 8B, the tension state can be estimated in several stages.

The processing section 1 for each input channel in the example of FIG.
(2) uses the instantaneous heart rate as the input signal 100 (2). Inside the first noise determination unit 6 (2), the noise determination reference value holding unit 62 (2) stores the noise determination reference value indicating the range of possible values of the input signal 100 (2) as described above, for example. 6200 (2). At time t, the first noise mixing determination unit 61 (2)
(2) and the noise determination reference value 6200 (2) are received,
As shown in FIG. 9A, if the value of the input signal 100 (2) is within the range indicated by the noise determination reference value 6200 (2), it is determined that noise is not mixed, and as shown in FIG. The value of 100 (2) is the noise determination reference value 6200
If it is out of the range shown in (2), it is determined that noise is mixed. The first noise mixing determination unit 61 (2) outputs the noise determination result as a noise determination result signal 110 (2).

In the first tension state estimating section 7 (2), the state estimation reference value holding section 72 (2) stores the tension state with respect to the input signal 100 (2), that is, the instantaneous heart rate, as described above. Is held as the state estimation reference value 7200 (2). At time t, first state estimating section 71 (2) receives input signal 100 (2) and state estimation reference value 7200 (2). According to the above-mentioned “Stress mechanism and positive response” on page 65, the instantaneous heart rate tends to increase when the activity of the sympathetic nervous system increases due to mental and physical tension, and as shown in FIG. When the state estimation reference value 7200 (1) is larger than the state estimation reference value 7200 (1), it is possible to estimate that the tension is high. As shown in FIG. 10b, the state estimation reference value 72
If a plurality of reference values are set in 00 (1), the tension state can be estimated in several stages.

The processing section 1 for each input channel in the example of FIG.
(3) sets the blood pressure value as the input signal 100 (3).
Inside the first noise determination unit 6 (3), the noise determination reference value holding unit 62 (3) stores a noise determination reference value indicating a range of possible values of the input signal 100 (3) as described above, for example. 6200 (3). At time t, the first noise mixing determination unit 61 (3) outputs the input signal 100 (3).
And the noise determination reference value 6200 (3)
As shown in FIG. 11A, if the value of the input signal 100 (3) is within the range indicated by the noise determination reference value 6200 (3), it is determined that noise is not mixed, and as shown in FIG. The value of (3) is the noise determination reference value 6200
If it is out of the range shown in (3), it is determined that noise is mixed. The first noise mixing determination unit 61 (3) outputs the noise determination result as a noise determination result signal 110 (3).

Inside the first tension state estimating section 7 (3), the state estimation reference value holding section 72 (3) stores the tension state of the input signal 100 (3), that is, the blood pressure value, as described above. The default value indicating the height is set to the state estimation reference value 7
200 (3). At time t, the first state estimating unit 71 (3) receives the input signal 100 (3) and the state estimation reference value 7200 (3). According to the aforementioned “Stress Mechanism and Active Response” on page 65, the blood pressure value tends to increase when the activity of the sympathetic nervous system is increased due to mental and physical tension, and as shown in FIG. When the reference value is larger than the reference value 7200 (3), it is estimated that the tension is high, and the blood pressure value is the state estimation reference value 7200 (3).
In the following cases, it can be estimated that the tension is low.
If a plurality of reference values are set in the state estimation reference value 7200 (3) as shown in FIG. 12B, the tension state can be estimated in several stages.

As described above, the input channel processing section 1 (1), the input channel processing section 1 (2) and the input channel processing section 1 (3)
(1) to 110 (3), tension state determination result signal 120
(1) to 120 (3) can be output. The processing of each channel may be performed sequentially in the order of channels 1, 2, and 3, or may be performed in an arbitrary order such as channels 2, 1, and 3. In addition, processing unit 1 for each input channel
(1) The input channel processing section 1 (2) and the input channel processing section 1 (3) can be operated on different hardware. In this case, the processing of each channel is performed regardless of the order. Will be

The noise determination result signals 110 (1) to 110 (3) output from the input channel specific processing unit 1 (1) to the input channel specific processing unit 1 (3) enter the all channel noise determination result storage unit 2. Is stored in a storage portion allocated to each channel, for example, a memory or a fixed disk. The tension state determination result signal 120 output from the input channel processing unit 1 (3) to the input channel processing unit 1 (3).
(1) to 120 (3) enter the first all-channel tension state estimation result storage unit 3 and are stored in a storage part allocated to each channel, for example, a memory or a fixed disk.

The first all-channel tension state estimation result storage unit 3 stores the tension state estimation results of all channels, and converts the tension state estimation result of the designated channel into a designated channel tension state estimation result signal 300. Output. Here, it is assumed that the initial state is set so that the estimation result of the tension state of channel 1 is used as the output of the apparatus. At this time, the first all-channel tension state estimation result storage unit 3 outputs the tension state estimation result signal 120 (1) of the channel 1 as the designated channel tension state estimation result signal 300.

The first output switching control section 4 sends a channel selection signal 400 to the all-channel noise determination result storage section 2 to obtain a noise determination result signal of the designated channel. Here, the initial state is set so that the estimation result of the tension state of the channel 1 is set as the output of the apparatus. Therefore, the test channel initial value setting unit 41 inside the first output switching control unit 4 stores the test channel initial value 4100. Is stored as a value indicating channel 1. By starting the operation of the apparatus of the present invention, the test channel initial value setting unit 41 sets the test channel initial value
"0" is sent to the check channel selecting unit 42. As a result, the test channel selection unit 42 outputs the channel selection signal 400 instructing to select the channel 1. The first all channel tension state estimation result storage unit 3 receiving the channel selection signal 400 stores the designated channel noise determination result signal 200.
Is output, the first noise determination result inspection unit 43 receives the designated channel noise determination result signal 200,
When the designated channel noise determination result signal 200 indicates that noise is mixed, a test channel change signal 4300 instructing to select the channel 2 is sent to the test channel selector 42, and the designated channel noise determination result signal
If 0 indicates that no noise is mixed, an output control signal 410 for instructing the use of the tension state estimation result of the channel 1 selected at this time as an output of the apparatus is sent to the switching output unit 5. send. When the first noise determination result inspection unit 43 outputs an inspection channel change signal for selecting channel 2, the inspection channel selection unit 42 and the first
The noise determination result inspection unit 43 performs the same processing as that for channel 1 for channel 2. If the designated channel noise determination result signal 200 indicates that no noise is mixed, an output control signal 410 instructing to use the tension state estimation result of the channel 1 selected at this time as an output of the device is output. Send to the switching output unit 5. If the designated channel noise determination result signal 200 indicates that noise is mixed, a test channel change signal 4300 instructing to select the channel 3 is sent to the test channel selecting unit 42, and the channel 1 and the channel 2 are transmitted. Similarly, the noise determination result of channel 3 is inspected. When the obtained designated channel noise determination result signal 200 indicates that no noise is mixed, output control for instructing to use the estimation result of the tension state of the channel 3 selected at this time as the output of the apparatus. The signal 410 is sent to the switching output unit 5. If the designated channel noise determination result signal 200 indicates that noise is mixed, the first noise determination result inspection unit 43 outputs an output signal 510 indicating that the tension state estimation results of all the channels are invalid. An output control signal 410 instructing output is output. At this time,
If a channel other than channel 3 is selected at time t + Δt, the first
The noise determination result inspection unit 43 of channel 1 or 2
Is output.
If the channel to be selected at time t + Δt remains channel 3, it is not necessary to output check channel change signal 4300.

The switching output unit 5 includes a first output switching control unit 4
If the output control signal 410 output by the device indicates a channel to be used as the output of the apparatus, the designated channel tension state estimation result signal 300 is output as the output signal 510. If the output control signal 410 indicates that the tension state estimation results of all the channels are invalid, the output signal 510 indicating that the tension state of all the channels is invalid is output. For example, when the output control signal 410 indicates that the tension state estimation result of the channel 2 is used, the switching output unit 5 selects the channel 2 in the first all-channel tension state estimation result storage unit 3. The estimation result selection signal 500 is sent, and the tension state estimation result signal 120 is sent.
A designated channel tension state estimation result signal 300 into which (2) is substituted is obtained, and this is output as an output signal 510.

In the example of FIG. 6, the above operation is performed from time t to time t + Δt. By repeatedly performing such an operation within the Δt time, time-series data of the biological signal input to each channel is sequentially processed,
It is possible to select and output a result of estimating the tension state of a channel in which noise is not mixed.

In the example of FIG. 6 described above, three types of biological information are input. However, the processing unit 1 (4) for each input channel, the processing unit 1 (5) for each input channel, If the number of processing units for each input channel is increased as in the processing unit for each channel 1 (n) and the range of channel selection in the first output switching control unit 4 and the switching output unit 5 is adjusted to the number of input channels, four or more types Biological information can be used. In order to use the two types of biological information, the first channel-based processing unit 1 (3) and its output are removed from the example of FIG.
The range of channel selection in the output switching control unit 4 and the switching output unit 5 may be up to channel 2.

The second embodiment of the present invention will be described in detail with reference to the drawings.

FIG. 13 is a block diagram showing a configuration according to the second embodiment of the present invention. As shown in FIG. 13, in the second embodiment of the present invention, an input channel-specific processing unit 1 (i), an all-channel noise determination result storage unit 2,
It comprises a second all-channel tension state estimation result storage unit 8, a second output switching control unit 9, and a multiple selection output unit 10. In the second embodiment, time series data of biological information for n channels is input, and the estimation results of the tension states of all the channels in which noise is not mixed are used as output signals of the apparatus, and noise is mixed in all channels. In this case, a signal indicating that the estimation results of the tension states of all the channels are invalid due to noise is used as an output signal of the apparatus. In FIG. 13, i indicates each input channel and is a natural number of 1 or more and n or less. Hereinafter, the description using i is a description representative of the processing performed in all of channels 1 to n. For example, when the description is given as the processing unit 1 (i) for each input channel, the description also applies to the processing units 1 (1) to 1 (n) for each input channel.

The second embodiment of the present invention is different from the first embodiment in that the first state of the first embodiment is used in order to use the output of the apparatus as the estimation result of the tension state of all the channels in which noise is not mixed. That the channel tension state estimation result storage unit 3 has become the second all-channel tension state estimation result storage unit 8, that the first output switching control unit 4 has become the second output switching control unit 9, and that the switching output That the unit 5 becomes the multiple selection output unit 10;
It is. By these changes, the designated channel tension state estimation result signal 300 becomes the plural channel tension state estimation result signal 800, the output control signal 410 becomes the plural output control signal 900, and the estimation result selection signal 500 becomes the estimation result plural selection signal 1000. The output signal 510 is changed to a multiple selection channel output signal 1010. These different points will be described below.

The first all channel tension state estimation result storage unit 3 stores the tension state estimation result of one channel in which noise is not mixed out of the tension state estimation result signal 120 (i) as the designated channel tension state estimation result. Although output as the signal 300, the second all-channel tension state estimation result storage unit 8
Outputs a tension state estimation result of all channels in which noise is not mixed, as a multiple channel tension state estimation result signal 800, according to the estimation result multiple selection signal 1000 among the tension state estimation result signals 120 (i). The multi-channel tension state estimation result signal 800 is, for example, a pair of the channel j and the tension state estimation result signal 120 (j).
｛(1,120 (1)), (4,120
(4)),. . . , (N, 120 (n))}. Here, j indicates a channel satisfying 1 ≦ j ≦ n and containing no noise, and is designated by the estimation result multiple selection signal 1000.

The second output switching control section 9 is different from the first output switching control section 4 in that when there are a plurality of channels in which noise is not mixed, all the tension state estimation results are output as a device. Output control signal 9 indicating that
00 is output. Second output switching controller 9
Is the noise determination result inspection controller 9 as shown in FIG.
1, a second noise determination result inspection unit 92, an effective channel information storage unit 93, and an effective channel information output unit 94. The noise determination result inspection control unit 91 outputs a channel selection signal 4 for selecting a channel for which the noise determination result is to be inspected.
00 to the all-channel noise determination result storage unit 2. The second noise determination result inspection unit 92 outputs the channel selection signal 4
00 receives the designated channel noise determination result signal 200 indicating the noise determination result of the designated channel, and if the designated channel noise determination result signal 200 indicates that no noise is mixed, an effective channel designation signal 9200
Is transmitted to the effective channel information storage unit 93. When the designated channel noise determination result signal 200 indicates that noise is mixed, the second noise determination result inspection unit 92 does not output the valid channel designation signal 9200. After that, the second noise determination result inspection unit sends an inspection end signal 9210 indicating that inspection of the noise determination result has been completed for one channel to the noise determination result inspection control unit 91. The noise determination result inspection control unit 91 having received the inspection end signal 9210 sends a channel selection signal 400 for selecting another channel to the all-channel noise determination result storage unit 2. For another channel, the processing for one channel described above is performed, and when the inspection of the noise determination results of all the channels is completed, that is, the noise determination result inspection control unit 91 outputs the n-th inspection end signal 9210 Upon receipt, the noise determination result inspection control unit 91 sends an effective channel information output permission signal 9100 to the effective channel information output unit 94, and outputs all the channel numbers stored in the effective channel information storage unit 93. To instruct. Effective channel information output permission signal 91
The valid channel information output unit 94 that has received 00 transmits a data request signal 9400 to the valid channel information storage unit 93. The valid channel information storage unit 93 that has received the data request signal 9400 uses the stored channel number set as the valid channel information 9300 as the valid channel information output unit 9.
Send to 4. The effective channel information output unit 94 receives the effective channel information 9300, and outputs a channel number included therein, that is, a set of channel numbers in which noise is not mixed, as a multiple output control signal 900. For example, the channels with no noise are channel 1,
In the case of channel 5 and channel n, (1, 5, n)
, A plurality of output control signals 9
00 is output.

The above-mentioned effective channel designation signal 9200 is
Although it has been described that the information is output only when noise is not mixed, information that can distinguish noise mixing, such as 0 when noise is mixed and 1 when noise is not mixed, is always output. Good. In such a case, a set of 1s and 0s corresponding to all the channels is stored in the effective channel information storage unit 93. , And the non-output channels are represented by 0, and {1, 0, 0, 0, 1,. . . , 1}.

The difference between the multiple selection output unit 10 and the switching output unit 5 is that, in accordance with the multiple output control signal 900, the estimation result multiple selection signal 1000 is sent to the second all channel tension state estimation result storage unit 8 and the output signal 510 is output. Instead of outputting a multiple selection channel output signal 1010. As described above, the multiple output control signal 900 specifies the channel of the tension state estimation result signal (i) used as the output of the device. For example, when receiving the multiple output control signal 900 as described above, the multiple selection output unit 10
Is stored in the second all-channel tension state estimation result storage unit 8 as the estimation result plural selection signal 10 for selecting the channels 1, 5, and n.
00, and receives the tension state estimation result signal 120 (1), the tension state estimation result signal 120 (5), and the tension state estimation result signal 120 (n) as the multi-channel tension state estimation result signal 800. The multi-channel tension state estimation result signal 800 is, for example, {(1, 120
(1)), (5,120 (5)),. . . , (N, 12
0 (n))}. In this way, the multi-selection output unit 10 obtains the tension state estimation results of all the channels in which noise is not mixed, and outputs the multi-selection channel output signal 10
Output as 10. Multiple selection channel output signal 101
0 is, for example, a multi-channel tension state estimation result signal 80
As with 0, {(1,120 (1)), (5,120
(5)),. . . , (N, 120 (n))},
It is expressed as a set of data.

Next, the operation of the second embodiment of the present invention will be described with reference to FIG. 15 by taking as an example the case where the fingertip pulse wave amplitude value, instantaneous heart rate and blood pressure are input signals.
In FIG. 15, all input signals are time-series data obtained at time intervals Δt, and at time t, the input channel-specific processing unit 1 (1) outputs the fingertip pulse wave amplitude value to the input signal 100 (1) And processing unit 1 for each input channel
In (2), the instantaneous heart rate is input as the input signal 100 (2), and in the input channel-specific processing unit 1 (3), the blood pressure is input as the input signal 100 (3). Of the operations up to time t + Δt at which the next input signal of each channel is obtained,
The difference from the operation in the embodiment is the operation of the second all-channel tension state estimation result storage unit 8, the second output switching control unit 9, and the multiple selection output unit 10, and these operations are described below. explain.

The second all-channel tension state estimation result storage unit 8 stores the input channel-specific processing unit 1 (1), the input channel-specific processing unit 1 (2), and the tension output by the input channel-specific processing unit 1 (3). State determination result signal 120 (1), tension state determination result signal 120 (2), and tension state determination result signal 12
0 (3) is stored in a storage portion allocated to each channel, for example, a memory or a fixed disk.

On the other hand, the second output switching control section 9 sends the channel selection signal 400 for selecting the channel 1 to the all-channel noise determination It is sent to the result storage unit 2.

If the second noise determination result inspection section 92 receives the designated channel noise determination result signal 200 indicating the noise determination result of channel 1 and indicates that there is no noise in channel 1, the second noise determination result inspection section 92 is enabled. The channel number, that is, 1 is sent to the effective channel information storage unit 93 as the channel designation signal 9200. When the designated channel noise determination result signal 200 indicates that noise is mixed in the channel 1, the second noise determination result inspection unit 92 does not output the valid channel designation signal 9200. After that, the second noise determination result inspection unit outputs an inspection end signal 921 indicating that inspection of the noise determination result for channel 1 has been completed.
0 is sent to the noise determination result inspection control unit 91. Noise determination result inspection control section 91 receiving inspection end signal 9210
Sends a channel selection signal 400 for selecting channel 2 to the all-channel noise determination result storage unit 2. The channel selected by the noise determination result inspection control unit 91 is changed to channel 2 and channel 3, and the same processing as in the above-described case where channel 1 is selected is performed for channel 2 and channel 3. In this example, when the inspection of the noise determination result is completed up to channel 3, the noise determination result inspection control unit 91
A valid channel information output permission signal 9100 is sent to the valid channel information output unit 94 to instruct to output all the channel numbers stored in the valid channel information storage unit 93. The valid channel information output unit 94 that has received the valid channel information output permission signal 9100 sends a data request signal 9400 to the valid channel information storage unit 93. Effective channel information storage unit 93 receiving data request signal 9400
Sends the stored set of channel numbers to the effective channel information output unit 94 as effective channel information 9300.
The effective channel information output unit 94 outputs the effective channel information 93
Then, a set of channel numbers included therein, that is, a set of channel numbers in which noise is not mixed is output as a multiple output control signal 900. For example, when the channels in which noise is not mixed are channel 1 and channel 3, the multiple output control signal 900 is output as a set of channel numbers such as (1, 3). Alternatively, as described above, a multiple output control signal expressed as a set such as {1, 0, 1}, such as 0 for a channel with noise and 1 for a channel without noise. 900 may be output.

The multiple-selection output unit 10 selects the tension state estimation result of the channel specified by the multiple-output control signal 900, and selects the multiple-selection channel output signal 1010.
To the second all-channel tension state estimation result storage unit 8. The multiple selection channel output signal 1010 is, for example, a set specifying channels to be used like {1, 3}, like the multiple output control signal 900, or 1 when a certain channel is used, and 1 when not used. As 0,
Like {1, 0, 1}, it can be represented as a set in which 1 or 0 is listed in order from channel 1.

In response to the multi-selection channel output signal 1010 output from the multi-selection output section 10, the second all-channel tension state estimation result storage section 8 stores the tension state estimation result of the designated channel in the multi-channel tension state. Estimation result signal 8
Output as 00. For example, when the multiple-selection channel output signal 1010 indicates that channels 1 and 3 are selected, the second all-channel tension state estimation result storage unit 8
Converts the tension state estimation result signal 120 (1) and the tension state estimation result signal 120 (1) into {(1, 120
(1)), (3,120 (3))}, a pair of the channel number and the tension state estimation result is output as a multiple-channel tension state estimation result signal 800.

The multiple selection output unit 10 outputs the second
In response to the multi-channel tension state estimation result signal 800 output from the all-channel tension state estimation result storage unit 8, the tension state estimation results of all the channels free from noise are output as a multiple-selected channel output signal 1010. The multiple selection channel output signal 1010 is, for example, similar to the multiple channel tension state estimation result signal 800,
It is represented as a set of data such as {(1,120 (1)), (3,120 (3))}.

As described above, in the second embodiment of the present invention, time-series data of biological information for n channels is input, and the results of estimating the state of tension of all the channels free of noise are input to the apparatus. When noise is mixed in all channels as an output signal, a signal indicating that the tension state estimation result of all channels is invalid due to noise can be used as an output signal of the apparatus.

A third embodiment of the present invention will be described in detail with reference to the drawings.

FIG. 16 is a block diagram showing a configuration according to the third embodiment of the present invention. As shown in FIG. 16, the third embodiment of the present invention includes an input channel-specific processing unit 1 (i) and an all-channel information output unit 11. The third embodiment is an example in which time-series data of biological information for n channels is input, and noise determination results and tension state estimation results are output for all channels. In FIG. 16, i indicates each input channel, and is a natural number of 1 or more and n or less. Hereinafter, the description using i is a description representative of the processing performed in all of channels 1 to n. For example, when the description is given as the processing unit 1 (i) for each input channel, the description is made from the processing unit 1 (1) for each input channel to the processing unit 1 for each input channel.
This also applies to (n).

In the third embodiment of the present invention, the input channel processing section 1 (i) is the same component as in the first and second embodiments. Therefore, the all-channel information output unit 11 will be described below.

As shown in FIG. 16, the all-channel information output unit 11 receives the noise determination results and the tension estimation results of all the channels, and outputs, for example, {(noise determination result signal 1
10 (1), tension state estimation result signal 120 (1)),
(Noise determination result signal 110 (2), tension state estimation result signal 120 (2)),. . . , (Noise determination result signal 1
10 (n), tension state estimation result signal 120 (n))} and output as a set for each channel. The internal configuration of the all-channel information output unit 11 is as shown in FIG. 17, and stores the noise determination result and the tension state estimation result of each channel, and updates the all-channel result update signal when the latest result of all channels is stored. 1210 and an all-channel result temporary storage unit 12 that outputs an all-channel result signal 1200;
The result update monitoring unit 13 outputs the output permission signal 1300 if the results of all the channels are updated in response to the all channel result update signal 1210 and the temporary storage unit 12 when the output permission signal is received. All the channel result signals 1200 received are collectively output as a batch output signal 1100.
And a batch output unit 14 for outputting all channels.

Next, the operation of the third embodiment of the present invention will be described with reference to FIG. 18 by taking as an example the case where the fingertip pulse wave amplitude value, instantaneous heart rate and blood pressure are input signals.
In FIG. 18, all input signals are time-series data obtained at time intervals Δt, and at time t, the input channel-specific processing unit 1 (1) sends the fingertip pulse wave amplitude value to the input signal 100 (1). And processing unit 1 for each input channel
In (2), the instantaneous heart rate is input as the input signal 100 (2), and in the input channel-specific processing unit 1 (3), the blood pressure is input as the input signal 100 (3). Among the operations until time t + Δt at which the next input signal of each channel is obtained, the operations of the processing units 1 (1), 1 (2), and 1 (3) for each input channel are the same as those in the first embodiment of the present invention. The operation is the same. Therefore, the operation of the all-channel information output unit 11 will be described below.

The noise determination result signals 110 (1) to 110 (3) and the tension state estimation result signals 120 (1) to 120 (3) received by the all channel information output unit 11 are:
The result is temporarily stored in a memory or a hard disk by the all channel result temporary storage unit 12, for example. When all channel results are updated, the all channel result temporary storage unit 12 stores the all channel result update signal 1210 and the all channel result signal 12
00 is output. To determine the update of the result, for example,
An update flag that becomes 1 when the result is updated for each channel may be provided, and when the update flags of all the channels become 1, the results of all the channels may be updated. Upon receiving the all-channel result update signal, the result update monitoring unit 13 outputs the output permission signal 1300 to the all-channel batch output unit 1.
4, and sends a result update reset signal 1310 to the all channel result temporary storage unit. For example, all channel result temporary storage unit 1 receiving result update reset signal 1310
2 sets the update flag to 0. All channels batch output unit 1
When the output permission signal 1300 is received, the noise determination result and the tension estimation result of all channels stored in the all-channel result temporary storage unit 12 are, for example, {(noise determination result signal 110 (1), tension). State estimation result signal 120
(1)), (noise determination result signal 110 (2), tension state estimation result signal 120 (2)), (noise determination result signal 1
10 (3), tension state estimation result signal 120 (3)), and outputs as a batch output signal 1100.

In this way, the noise determination result and the tension estimation result of all the channels can be output collectively, so that not only the result of the channel without noise but also the channel into which the noise is mixed. Or it can be obtained at the same time. All channel result storage unit 1
By providing 2, the processing result of the input data at time t can be output collectively even if the processing of each input channel is performed sequentially.

Next, modified examples of the first, second and third embodiments will be described with reference to FIGS. 19 and 20.

In the processing unit 1 (i) for each input channel shown in FIGS. 1, 13 and 16, the first noise determination unit 6 (i)
Instead, the second noise determination unit 1 as shown in FIG.
By using 5 (i), when making a determination of noise contamination, noise determination is performed using not only the input signal 100 (i, t) at time t but also the latest p input signals up to time t. It is possible to do.

The second noise determination section 15 (i)
As shown in the figure, the latest p input signals 10 until time t
A first input signal temporary storage unit 63 (i) for temporarily storing 0 (i) and a noise determination reference value holding unit for storing a noise determination reference value 6200 (i) for noise determination. 62 (i) and a first input signal temporary storage section 63 (i)
640 using the input signal stored in the
Noise mixing index calculating section 64 that calculates and outputs 0 (i)
(I), and a second noise mixing determination unit 65 (i) that performs noise mixing determination using the noise determination reference value 6200 (i) and the noise feature value 6400 (i).
Here, p is a natural number given in advance as the number to be stored in the first input signal temporary storage section 63 (i).

The first input signal temporary storage section 63 (i)
For example, the latest p input signals 100 (i) up to time t are stored using a first-in first-out memory. For example, as shown in FIG. 20, time t− (p−1) Δt, time t
− (P−2) Δt,. . . , Input signal 100 at time t
(I) is stored. When the next input signal is input at time t + Δt, the first input signal temporary storage unit 63 (i)
Updates the stored contents in order to always store the latest p input signals.

The noise mixing index calculation unit 64 (i)
The noise characteristic amount 6400 (i) is calculated using the input signal stored in the input signal temporary storage unit 63 (i) and utilizing the characteristics of the biological information input in each channel.

For example, when the input signal 100 (i) is a sinusoidal waveform such as a plethysmogram, an acoustic pulse wave, or a waveform having a substantially constant cycle such as an electrocardiogram, the noise mixing index calculating section 64 (I) detects the waveform peak, finds the time of the latest one cycle, and obtains the noise feature 6400 (i).
And

When the input signal 100 (i) can be characterized by a frequency component such as a background electroencephalogram, an electrocardiogram, etc., the noise mixing index calculating section 64 (i) firstly performs a frequency analysis on the input signal 100 (i). I do. For the obtained power spectrum, for example, the frequency is divided into classes, the sum of the power values is obtained for each class, and the set of the frequency representing each class and the power value of each class is converted into the noise feature amount 6.
400 (i).

Further, the noise characteristic amount 6400 (i) can be calculated by using the characteristics of the measuring device. For example,
When a measuring device that performs AC amplification is used, the amplification degree of the DC fluctuation component is small, so that this characteristic can be used. For example, when measuring biological information having a sinusoidal measurement waveform such as a fingertip pulse wave, the value near the center of peaks and valleys should be close to zero unless noise is mixed. Therefore, the DC fluctuation component can be used for noise mixing. When there are continuous peaks and valleys as shown in FIG.
The DC fluctuation component is

(Equation 1) Thus, the noise mixing index calculating unit 64 (i) outputs the value of the DC fluctuation component as the noise feature amount 6400 (i).

The second noise mixing determining unit 65 (i) receives the noise feature 6400 (i) output from the noise mixing index calculating unit 64 (i) as described above, and receives the noise determination reference value holding unit 62. The noise mixing reference value 6200 (i) stored in advance in (i) is compared to determine whether noise is mixed, and the result is output as a noise determination result signal 110 (i).

For example, when the biological information to be measured is a sinusoidal waveform such as a plethysmogram or an acoustic pulse wave or a waveform having a substantially constant cycle such as an electrocardiogram, the noise feature 6400 (i) As described above, the latest one cycle time can be used. Second noise determination unit 6
5 (i) receives such a noise feature value 6400 (i) and compares it with the noise determination reference value 6200 (i) stored in the noise determination reference value holding unit 62 (i) in advance. In this case, the noise determination reference value 6200 (i) indicates a standard one heartbeat period. The second noise determination unit 65 (i) calculates, for example, the noise feature amount 6400 (i) and the noise determination reference value 6200 (i) from

(Equation 2) If it is within a preset range, it is determined that noise is not mixed. If it is out of the set range, it is determined that noise is mixed.

When the biological information to be measured is characterized by frequency components such as background electroencephalograms and electrocardiograms, as described above, the noise feature 6400 (i) is obtained by dividing the power spectrum into classes, for example. Are represented as a set of a frequency representing each class and a power value of each class. In such a case, the second noise mixing determination unit 65
(I) separates the power value of the frequency band specific to the biological information being measured and the power value of the other bands, obtains the ratio of the sum of the respective power values, and determines the ratio as a component unique to the biological information, It is compared with a noise determination reference value 6200 (i) stored in the noise determination reference value holding unit 62 (i) in advance. The component unique to the biological information is a noise determination reference value 6200 (i).
When the value is smaller than the value set in advance, it is determined that noise is mixed, and when the component unique to the biological information is large, it is determined that noise is not mixed.

When the determination of noise mixing is performed using the DC fluctuation component by utilizing the characteristics of the measuring device, the second noise mixing determination unit 65 (i) performs the noise feature 6400 (i), that is, the DC fluctuation component. Is stored in the noise determination reference value holding unit 6.
2 (i) is compared with a noise determination reference value 6200 (i) and a limit value stored in advance. When the value of the DC fluctuation component is greater than the limit value set as the noise determination reference value 6200 (i), it is determined that noise has entered, and when it is less than the limit value, it is determined that noise has not entered.

As described above, the second noise mixing determining section 65 (i) determines the mixing of noise. As the noise determination result signal 110 (i), for example, zero is determined when it is determined that noise is not mixed, and 1 is output when it is determined that noise is mixed.

As described above, the second noise determination section 1
In 5 (i), noise determination can be performed using not only the input signal 100 (i) at time t but also the latest p input signals up to time t. This makes it possible to perform noise determination using the time characteristics of the input signal, and to perform noise determination using the characteristics of the biological information and the characteristics of the measurement system.

Next, another modified example of the first, second, and third embodiments will be described with reference to FIGS.

In the input channel-specific processing section 1 (i) of FIGS. 1, 13 and 16, the first tension state estimating section 7
By using the second tension state estimating unit 16 (i) as shown in FIG. 22 instead of (i), when the determination of noise mixing is performed, only the input signal 100 (i, t) at time t is used. Instead, the tension state can be estimated using the latest p input signals until time t.

FIG. 22 shows the second tension state estimating section 16.
It is a block diagram which shows the internal structure of (i).

As shown in FIG. 22, the second tension state estimating section 16 (i) outputs the latest p input signals 1 until time t.
00 (i) is temporarily stored, and a plurality of input signals 73
Second input signal temporary storage unit 7 that outputs as 00 (i)
3 (i) and state estimation reference value 7 used for estimating the tension state
State estimation reference value holding unit 72 for storing 200 (i)
Using the input signal stored in (i) and the second input signal temporary storage unit 73 (i), the biological information feature amount 7400
Biological information feature value calculation unit 74 that calculates and outputs (i)
(I) The second state estimating unit 75 () that estimates a tension state using the state estimation reference value 7200 (i) and the biological information feature value 7400 (i) and outputs a tension state estimation result signal 120 (i). i). Here, p is a natural number previously given as the number to be stored in the second input signal temporary storage unit 73 (i).

The second input signal temporary storage section 73 (i)
For example, the latest p input signals 100 (i) up to time t are stored using a first-in first-out memory. For example, as shown in FIG. 23, the time t− (p−1) Δ
t, time t− (p−2) Δt,. . . , The input signal 100 (i) at time t is stored. When the next input signal is input at time t + Δt, the second input signal temporary storage unit 73
In (i), the stored contents are updated in order to always store the latest p input signals. Note that the embodiment to which this modification is applied is different from the first input signal temporary storage 63
If it has (i), as shown in FIG.
And the second input signal temporary storage unit may be shared.

The biological information feature quantity calculation unit 74 (i)
Using the input signal stored in the input signal temporary storage unit 73 (i), the biometric information characteristic amount 7400 (i) is calculated and output using the characteristics of the biometric information input in each channel.

For example, not only the value at the time t but also the time change of the input signal 100 (i) indicates whether the input signal 100 (i) is nervous or relaxing, and whether the change is abrupt or gradual. Biometric information feature quantity 74 indicating whether there is any
00 (i) is calculated. For example, if the input signal 100 (i) at time t is represented as 100 (i, t), and s is an appropriate natural number set in advance,

(Equation 3) Is obtained by input signal 1 at time t with respect to input signal 100 (i) at time t−sΔt.
00 (i) is a time change ratio indicating the degree of change. By changing the value of s, the time setting for taking the difference can be changed, so that a time change suitable for estimating the tension state from the measured biological information can be obtained.
For example, when autonomic nervous indices such as a fingertip pulse amplitude value, an instantaneous heart rate, and a skin resistance value are used as the input signal 100 (i), sΔ
If t is set to 2 seconds to 3 seconds, a value indicating the magnitude of the tension reaction can be obtained.

The biometric information feature value calculator 74 (i) outputs, as a biometric information feature value 7400 (i), for example, a set of the above-mentioned time change ratio and the value of the input signal 100 (i, t). I do.

The second state estimating unit 75 (i) includes a biological information feature 7400 (i) and a state estimation reference value 7200.
(I) is received, a tension state is estimated, and a tension state estimation result signal 120 (i) is output. Biometric information feature 74
00 (i) is the time change ratio and the input signal 10
When the values of 0 (i, t) are grouped, the tension state estimation using the input signal 100 (i, t) is performed by the first state estimation unit 71 (i) in the first embodiment. Can be performed in the same manner as described above. Further, the second state estimating unit 75
(I) evaluates the speed of change in the tension state using a value representing the time change of the tension state. For example, a reference value relating to the time change ratio is set in advance to the state estimation reference value 7200 (i), and the tension state is “flat”, “rising”, “down” from a value obtained by dividing the time change ratio by the reference value. It is determined as "medium", "rapid rising", "rapid falling".

As described above, the second tension state estimating unit 16 (i) provides the following: “there is quite nervous, the tension state is flat”, and “there is not much tension but the tension state is rising”. It is possible to output the tension state estimation result signal 120 (i) including not only the tension state indicated by the latest measured value but also a time change.

Further, as another modified example of the first, second, and third embodiments of the present invention, the first noise determination section 6
Instead of (i) and the first tension state estimating unit 7 (i),
An embodiment including the second noise determination unit 15 (i) and the second tension state estimation unit 16 (i) is also possible.

Further, as another modified example of the first, second, and third embodiments of the present invention, the first noise determination section 6
Embodiment in which a third noise judgment unit 17 (i) is provided instead of (i), and an embodiment in which a fourth noise judgment unit 18 (i) is used instead of the second noise judgment unit 15 (i). Is also possible. The third noise determination unit 17 (i) and the fourth noise determination unit 18 (i) correspond to FIGS. 25 and 26, respectively.
As shown in (5), a noise determination reference value storage unit 66 (i) is provided instead of the noise determination reference value storage unit 62 (i), and the user sets a user-set noise determination reference value 6600.
(I) can be input. First noise mixing determining section 61 (i) and second noise mixing determining section 65
(I) performs the above-described noise determination processing using the user-set noise determination reference value 6600 (i) instead of the noise determination reference value 6200 (i), and generates the noise determination result signal 110 (i). Output. This allows the user to set a reference value for noise determination according to biological information measured in each channel.

Further, as another modified example of the first, second and third embodiments of the present invention, a first tension state estimating section 7
Embodiment in which a third tension state estimating unit 19 (i) is provided instead of (i), and a fourth tension state estimating unit 20 (i) is provided instead of the second tension state estimating unit 16 (i). Embodiments are also possible. The third nervous state estimating unit 19 (i) and the fourth nervous state estimating unit 20 (i) are each shown in FIG.
28, as shown in FIG.
In place of (i), a state estimation reference value storage unit 76 (i) is provided, and the user sets a user-estimated state estimation reference value 760.
0 (i) can be input. The first state estimating unit 71 (i) and the second state estimating unit 75 (i) use the user-set state estimation reference value 7600 (i) instead of the state estimation reference value 7200 (i), and Is performed, and the tension state estimation result signal 120 is output.
(I) is output. This allows the user to set a reference value for estimating the tension state according to the biological information measured in each channel.

In the first embodiment of the present invention and its modifications, the first output switching unit 4 is replaced with the first embodiment shown in FIG.
A modification using the third output switching unit 21 as shown in FIG. 9 is also possible. The third output switching unit 21 has a test channel initial value storage unit 44 instead of the test channel initial value setting unit 41 in the first output switching unit 4. The test channel initial value storage unit 44 receives the user-set test channel initial value 4400 input by the user and sends it to the test channel selection unit 42. The inspection channel selection unit 42 and the first noise determination result inspection unit 43 may perform the above-described processing. As a result, the user can set which channel's tension state estimation result is to be used as the initial output signal of the apparatus, and from the beginning of the operation of the apparatus, it is possible to obtain the tension state estimation result of the biological information of interest. Will be possible.

[0140]

Next, embodiments of the present invention will be described.

First, fingertip pulse wave, earlobe pulse wave, instantaneous heart rate,
Various biological information, such as respiratory rate and blood pressure, serving as the input signal 100 (i) are obtained by a pulse pickup 45 manufactured by NEC Sanei Co., Ltd.
261, a pulse pickup 45262, a heart rate unit, a bioelectric amplification unit 1253A, and other sensors and amplifiers. An A / D conversion board ADXM-9 manufactured by Canopus Co., Ltd.
A / D conversion using 8A, etc., and a PC-
The input signal 100 (i), which is time-series data, is input to a personal computer such as 9821Xa.
Can be obtained. When the fingertip pulse wave amplitude value is used for the input signal 100 (i), peaks of peaks and valleys are detected for the fingertip pulse wave captured in the personal computer as described above, and the difference between the peaks and peaks is obtained. The fingertip pulse wave amplitude value can be obtained. Alternatively, the difference between the maximum value and the minimum value in the latest data for about 1.5 seconds can be approximately used as the fingertip pulse wave amplitude value.

With the above processing, the input signal 100 (i)
After that, the input signal 10 is stored on the main memory of a personal computer such as PC-9821Xa manufactured by NEC Corporation.
0 (i), the first noise determination unit 6 (i) in the input channel-specific processing unit 1 (i) as described above.
Tension estimator 7 (i), second noise determiner 15
(I), second tension state estimation section 16 (i), third noise determination section 17 (i), third tension state estimation section 19
(I), fourth noise determination unit 18 (i), fourth tension state estimation 20 (i), all-channel noise determination result storage unit 2, first all-channel tension state estimation result storage unit 3, first
Output switching control unit 4, switching output unit 5, second all-channel tension state estimation result storage unit 8, second output switching control unit 9,
The first, second, and third embodiments of the present invention, and the processes performed by the multiple selection output unit 10, the all-channel information output unit 11, and the third output switching control unit 21 are programmed and operated. Can be realized.
The time interval Δt for obtaining the input signal 100 (i) may be a sampling interval for A / D conversion of biological information. Third
Noise determination section 17 (i), third tension state estimation section 19
(I) User-set noise determination reference value 6600 (i) and user-set state in fourth noise determination unit 18 (i), fourth tension state estimation 20 (i), and third output switching control unit 21 The estimated reference value 7600 (i) may be input by a keyboard.

[0143]

A first effect of the present invention is that even when noise is mixed in the biological information being measured, the tension state can be correctly estimated.

The reason is that a plurality of pieces of biometric information are measured, the state of tension is estimated for each piece of biometric information, and when noise is mixed in the biometric information used as the output of the apparatus, noise from other biometric information is used. This is because the result of the tension state estimation is switched to the output of the apparatus.

The second effect is that it is possible to realize a highly practical tension state estimation that can be used even in a daily scene where noise frequently occurs.

The reason for this is that the use of a plurality of pieces of biological information in which noise is unlikely to be mixed at the same time significantly improves the reliability of estimating the tension state in everyday situations by the first effect.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a first exemplary embodiment of the present invention.

FIG. 2 is a diagram illustrating an example in which an input signal 100 (i) is first split into two systems and then input to an input channel-specific processing unit 1 (i) in the first embodiment of the present invention.

FIG. 3 is a block diagram illustrating an internal configuration of a first noise determination unit 6 (i).

FIG. 4 is a block diagram showing an internal configuration of a first tension state estimating unit 7 (i).

FIG. 5 is a block diagram showing an internal configuration of a first output switching control unit 4;

FIG. 6 is a diagram illustrating an example in which the first embodiment of the present invention uses a fingertip pulse wave amplitude value, an instantaneous heart rate, and a blood pressure as input signals.

FIG. 7A is an example in which it is determined that noise is not mixed when a fingertip pulse wave amplitude value is used as an input signal.
(B) is an example in which it is determined that noise is mixed when a finger pulse wave amplitude value is used as an input signal.

FIG. 8A is a diagram illustrating a method for estimating a tension state when a finger pulse wave amplitude value is used as an input signal. (B)
FIG. 4 is a diagram showing a method for estimating a tension state in multiple stages when a fingertip pulse wave amplitude value is used as an input signal.

FIG. 9 (a) shows a case where an instantaneous heart rate is used as an input signal.
This is an example in which it is determined that noise is not mixed. (B)
Is an example in which it is determined that noise is mixed when the instantaneous heart rate is used as an input signal.

FIG. 10A is a diagram illustrating a method for estimating a tension state when an instantaneous heart rate is used as an input signal. (B)
FIG. 3 is a diagram showing a method for estimating a tension state in multiple stages when an instantaneous heart rate is used as an input signal.

FIG. 11A is an example of determining that noise is not mixed when a blood pressure value is used as an input signal. (B)
This is an example in which it is determined that noise is mixed when a blood pressure value is used as an input signal.

FIG. 12A is a diagram illustrating a method of estimating a tension state when a blood pressure value is used as an input signal. (B) is a diagram showing a method for estimating a tension state in multiple stages when a blood pressure value is used as an input signal.

FIG. 13 is a block diagram showing a configuration according to a second embodiment of the present invention.

FIG. 14 is a block diagram showing an internal configuration of a second output switching control unit 9;

FIG. 15 is a diagram illustrating an example in which a fingertip pulse wave amplitude value, an instantaneous heart rate, and a blood pressure are input signals according to the second embodiment of this invention.

FIG. 16 is a block diagram showing a configuration according to a third embodiment of the present invention.

FIG. 17 is a block diagram showing an internal configuration of an all-channel information output unit 11;

FIG. 18 is a diagram showing an example in which a third embodiment of the present invention uses a fingertip pulse wave amplitude value, an instantaneous heart rate, and a blood pressure as input signals.

FIG. 19 is a block diagram illustrating an internal configuration of a second noise determination unit 15 (i).

FIG. 20 is a diagram showing an internal structure of a first input signal temporary storage section 63 (i).

FIG. 21 is a diagram illustrating a method for obtaining a DC fluctuation component of biological information.

FIG. 22 is a block diagram showing an internal configuration of a second tension state estimation unit 16 (i).

FIG. 23 is a diagram showing the internal structure of a second input signal temporary storage unit 73 (i).

FIG. 24 shows a part for temporarily storing an input signal, which is composed of a noise mixing index calculating unit 64 (i) and a biological information feature amount calculating unit 74.
It is a figure which shows the example shared with (i).

FIG. 25 is a block diagram showing an internal configuration of a third noise determination unit 17 (i).

FIG. 26 is a block diagram illustrating an internal configuration of a fourth noise determination unit 18 (i).

FIG. 27 is a block diagram showing an internal configuration of a third tension state estimation unit 19 (i).

FIG. 28 is a block diagram illustrating an internal configuration of a fourth tension state estimation unit 20 (i).

FIG. 29 is a block diagram illustrating an internal configuration of a third output switching control unit 21.

[Explanation of symbols]

1 (i) Input channel processing unit 2 All channel noise determination result storage unit 3 First all channel tension state estimation result storage unit 4 First output switching control unit 5 Switching output unit 6 (i) First noise determination Unit 7 (i) First tension state estimation unit 8 Second all channel tension state estimation result storage unit 9 Second output switching control unit 10 Multiple selection output unit 11 All channel information output unit 12 All channel temporary storage unit 13 Result update monitoring unit 14 All-channel collective output unit 15 (i) Second noise determination unit 16 (i) Second tension state estimation unit 17 (i) Third noise determination unit 18 (i) Fourth noise determination Unit 19 (i) Third Tension Estimation Unit 20 (i) Fourth Tension Estimation Unit 21 Third Output Switching Control Unit 41 Test Channel Initial Value Setting Unit 42 Test Channel Selection Unit 43 First Noise Determination Result Inspection 44 test channel initial value storage unit 61 (i) first noise contamination determination unit 62 (i) noise determination reference value storage unit 63 (i) first input signal temporary storage unit 64 (i) noise contamination index calculation unit 65 (I) Second noise mixing determination unit 66 (i) noise determination reference value storage unit 71 (i) first state estimation unit 72 (i) state estimation reference value holding unit 73 (i) second input signal temporary Storage unit 74 (i) biometric information feature amount calculation unit 75 (i) second state estimation unit 76 (i) state estimation reference value storage unit 91 noise determination result inspection control unit 92 second noise determination result inspection unit 93 valid Channel information storage unit 94 Effective channel information output unit 100 (i) Input signal of channel i 100 (i, t) Input signal of channel i at time t 110 (i) Noise determination result signal 120 (i) Tension state Estimation result signal 200 Designated channel noise determination result signal 300 Designated channel tension state estimation result signal 400 Channel selection signal 410 Output control signal 500 Estimation result selection signal 510 Output signal 800 Plural channel tension state estimation result signal 900 Plural output control signal 1000 Plural estimation Result selection signal 1010 Multiple selection channel output signal 1100 Batch output signal 1200 All channel result signal 1210 All channel result update signal 1300 Output enable signal 1310 Result update reset signal 4100 Test channel initial value 4300 Test channel change signal 4400 User setting test channel initial value 6200 (i) Noise judgment reference value 6300 (i) Multiple input signals 6400 (i) Noise feature 7200 (i) State estimation reference value 7300 (i) Multiple input signals 7 00 (i) biometric information feature amount 9100 valid channel information output enable signal 9200 valid channel designation signal 9210 inspection end signal 9300 valid channel information 9400 data request signal

Claims (7)

(57) [Claims] An input channel for performing noise determination and tension state estimation according to biological information of each channel using biological information time-series data of a plurality of channels as an input signal, and outputting a noise determination result signal and a tension state estimation result signal. A separate processing unit, receives and stores the noise determination result signals of all channels, receives a channel selection signal that specifies which channel's noise determination result is to be output as a specified channel noise determination result signal, and receives the noise determination result signal of one channel. An all-channel noise determination result storage unit that outputs a noise determination result signal as the designated channel noise determination result signal; and a storage unit that receives and stores the tension state estimation result signals of all channels, and estimates the tension state of a channel used as an output of the device. A first all-channel tension state estimation that outputs a result signal as a designated channel tension state estimation result signal Sending the channel selection signal to a fixed result storage unit and the all channel noise determination result storage unit,
If the specified channel noise determination result signal obtained indicates that noise is mixed, the channel selection signal designating another channel is output to check the noise determination results of the remaining channels one by one. Then, if a channel free of noise is obtained, an output control signal for instructing the tension state estimation result signal of the channel to be an output signal of the device is output, and all channels being measured are output. If no channel containing no noise is obtained, a first output switching control for outputting an output control signal instructing that the result of estimation of the tension state of all the channels is invalid is used as the output signal. And an estimation result selection signal for selecting the channel when the output control signal specifies a channel to be used as an output of the device. The first channel tension state estimation result storage unit is sent to the first all channel tension state estimation result storage unit, and the obtained designated channel tension state estimation result signal is output as an output signal. The output control signal indicates that the tension state estimation result of all channels is invalid. And a switching output unit that outputs that the tension state estimation results of all the channels are invalid, and a tension state estimation device with a multiple biometric information selection function. 2. An input channel for performing noise determination and tension state estimation according to biological information of each channel using biological information time-series data of a plurality of channels as an input signal, and outputting a noise determination result signal and a tension state estimation result signal. A separate processing unit, receives and stores the tension state estimation result signals of all channels, and receives a channel selection signal that specifies which channel's noise determination result is to be output as a designated channel noise determination result signal, and An all-channel noise determination result storage unit that outputs the noise determination result signal as the designated channel noise determination result signal, receives and stores the tension state estimation result signal of all channels, and stores a plurality of channels used as output of the device. A second all-channel tension outputting a tension state estimation result signal as a designated channel tension state estimation result signal; The state estimation result storage unit, and transmitting the channel selection signal to the all-channel noise determination result storage unit to obtain the designated channel noise determination result signal, and obtaining the channel selection signal until the noise determination results of all the channels are obtained. Repeatedly changing the channel specified in, if there is a channel without noise, use the tension state estimation result signal of all the channels as the output signal of the apparatus, and if there is no channel without noise, all channels A second output switching control unit for outputting a plurality of output control signals for instructing that the result of estimation of the tension state is invalid as an output signal, and a channel free of noise according to the plurality of output control signals. Sometimes
An estimation result plural selection signal for selecting a channel to be used as an output of the apparatus is sent to the second all-channel tension state estimation result storage unit, a plural channel tension state estimation result signal is obtained, and a tension state estimation result of a plurality of selected channels is obtained. As an output signal, and when noise is mixed in all channels, a multi-selection output unit that outputs, as an output signal, that the tension state estimation result of all channels is invalid, Tension state estimation device with function. As 3. A device initial output signal of which channel the user whether to use the tension estimation result, characterized in that the settable, multiple biometric information selection function tension estimating apparatus according to claim 1. 4., characterized in that the noise determination using the time variation of the input signal, a plurality biometric information selection function tension estimating apparatus according to claim 1, wherein. 5. and performs taut estimated using the time variation of the input signal, according to claim 1, 2, 3 or 4 more biometric information selection function tension estimating device according. 6. A user can set a reference value used to determine whether noise is mixed in biological information.
A tension state estimating apparatus with a multiple biological information selecting function according to 1, 2, 3, 4, or 5 . 7. The system according to claim 1, wherein a reference value used for estimating a tension state from biological information can be set by a user .
The tension state estimating device with a plurality of biological information selecting functions according to 2, 3, 4, 5, or 6 .