JP5210264B2 - Device that collects and transmits biological information - Google Patents

Description

  In the present invention, abnormal biological information such as heartbeat, arrhythmia, abnormal breathing, bed leaving behavior, etc. of a person who needs constant monitoring such as an elderly living alone, a serious care recipient, a sick person who cannot walk, etc. in an unrestrained state. The present invention relates to an apparatus that collects and transmits biological information that is promptly and accurately detected and is notified to an emergency organization, a nurse, a family, and the like in order to prevent a sudden serious accident.

According to a 2008 survey, it is said that 4 million elderly people live alone. Not all elderly people living alone need care, but sometimes they are discovered several days after their death without contact with their relatives and friends living alone. It has occurred.
Many patients in nursing homes and hospitals often notice death only when a caregiver visits in the morning. If you notice it before or immediately after death, it should be useful for treatment and later treatment.
The present invention provides an air mat provided with a pressure sensor that does not impair the inconvenience of sleeping for these persons, for example, patients who are incapable of movement such as the latter, or living alone / caregivers. Lay under the pillow, change the pressure applied to the air mat and move to pressure signal information, continuously measure respiratory rate and respiratory fluctuation, heart rate and heart rate fluctuation, patient arrhythmia, abnormal breathing, getting out of bed, It functions as an automatic patient monitoring device that detects cardiac arrest early and informs nurses and remote people at an early stage, and is becoming increasingly urgent in Western countries and Japan, where the birthrate is declining and aging.
In addition, by combining and analyzing the respiratory rate and respiratory variability, heart rate and heart rate variability, and their standard deviations, body temperature and blood pressure can be inferred indirectly, and diseases such as colds, abdominal pain and stomach pain can be estimated very early. It may be possible to detect excretion.

A method or apparatus for detecting biological information such as heart rate, arrhythmia, respiratory rate, abnormal breathing, and bed leaving behavior of a lying subject in an unconstrained state is described in the following Non-Patent Document 1, Patent Documents 1 to 3, and the like. ing.
In Non-Patent Document 1, an air dynamic pressure sensor is installed in the vicinity of the buttocks between the bed and the mat of the subject lying down, and the subject's breathing, heartbeat, A subject in a lying position that captures minute biological vibrations and movements associated with body movements (turning over, movements of limbs, etc.) as pressure fluctuations, and converts the pressure fluctuations into voltage by the piezoelectric element of the dynamic pressure detection unit and outputs it. The living body information measuring method is described.

Patent Document 1 discloses a biological information detecting means in which a subject is unconstrained, blood flow in a lying position, an air mat, a liquid-filled mat, a mat such as an elastic material, a plurality of rows of heart sound microphones, strain gauges, and the like, A means for measuring a deviation value of the heartbeat signal extracted from the two detection means; a computing means for calculating an electroencephalogram propagation velocity from the deviation value; an electroencephalogram propagation speed, a heartbeat value, a heartbeat waveform and a care record display means; In the unconstrained living body information detection apparatus having the printing means, the electroencephalogram propagation velocity and heart rate abnormality judging means, and the means for outputting an alarm to the outside when the abnormality is detected, the means for measuring the deviation value is a plurality of sets. The heartbeat signal deviation value is sequentially measured for each sensor pair, and the computing means divides the distance between the heart sound microphones of the plurality of sensor pairs by the heartbeat signal deviation value to calculate the electroencephalogram propagation velocity for each of the plurality of sensor pairs. Together with the display unit the example to display the EEG propagation speed and heart value three-dimensionally is described in each of the plurality of sets of sensor pairs.
In Patent Document 2, a change in air pressure when a human body is on the air bag or cabinet with air remaining in the air bag or cabinet is detected by an omnidirectional microphone or pressure sensor. And a biological information collecting apparatus for measuring biological information such as heart rate (heart rate cycle), body movement including cough and sputum.
In Patent Document 3, a sensor that measures biological information of a subject lying on a mattress based on a change in a physical quantity of the mattress, and data based on a measurement signal of the sensor connected to the sensor are transmitted to the outside via a network. A biological information measuring device is described that includes a terminal server and a central server that collects data based on sensor measurement signals transmitted from the terminal server.

IEEJ Paper B, Vol.122, No.11, 2002 "Measurement of Respiration, Heartbeat and Body Movement Information When Lying with an Air Dynamic Pressure Sensor"

Japanese Patent No. 41739797 Japanese Patent No. 3242631 JP 2003-135411 A

In the prior art document, a change in air pressure in a state in which a human body is on the air bag with air remaining in the air bag or the like is detected by a pressure sensor or the like. ), A biological information collecting device for measuring biological information such as body movements including cough and sputum is described.
However, whether the body motion voltage waveform derived from the breathing of the human body or the body motion voltage waveform derived from the heartbeat is abnormal cannot be determined uniquely, and there are individual differences. It must be set to a more practical value depending on the difference. In addition, the biological information derived from the breath and the biological information derived from the heartbeat obtained from the body motion voltage waveform must be extracted as a more accurate signal by performing noise processing. Furthermore, in order to grasp the bed leaving state, it is required to set it accurately according to the symptom of the subject.

  The present invention measures the respiratory abnormalities and respiratory fluctuations of subjects who are incapable of movement, such as the latter, single person living alone, care recipients, etc., without losing the freedom of the human body, including biological abnormality information of body movements including heart rate and heart rate fluctuations, It is an object of the present invention to provide an apparatus for collecting and transmitting biological information for enabling the transmission of information to a nurse or a remote person according to individual differences, without erroneous information, according to individual differences.

According to the first aspect of the present invention, a mat having a sensor for detecting biological information is laid on the bed, a detection signal of the sensor is converted into an electric signal, and sent to a logic judgment circuit. In the apparatus for collecting and transmitting biological information which is judged and output whether or not the information is abnormal, the logic judgment circuit detects and processes the respiratory information, and means for detecting and processing the heart rate information And means for detecting and processing the respiratory information of the subject, the means for detecting and processing the respiratory information includes a BPF circuit that passes a respiratory waveform from the biological information detected by the sensor, and a respiratory motion pulse And means for detecting and processing heart rate information from the biological information detected by the sensor, a BPF circuit that passes the heart rate waveform, and amplifies the heart rate waveform. The amplification / expansion circuit that expands the time axis and the heart rate calculation circuit that calculates the number of heart beats from the heart rate-derived body motion pulse. The means for detecting the subject's bed and the like is based on the biological information detected by the sensor. A judgment circuit for setting a minimum body motion voltage and a bed leaving time for judging whether or not the person has left the bed, and an alarm circuit for outputting a warning at the output of the respiration rate calculation circuit, the heart rate calculation circuit and the judgment circuit for getting out of bed. The alarm circuit determines whether or not the threshold has been exceeded when the body motion detection plug = 1 in order to process the subject's bed leaving notification process. If the threshold is exceeded when the plug = 1, the means for turning on the body movement detection LED and the body movement detection LED after turning on the LED determine whether the set-up timer has passed the set time. A means for repeating until the set return time elapses, a means for turning on the LED for getting out of bed when the set-up timer elapses, a means for sounding a buzzer for getting out of bed, and a means for notifying the child that the subject has left the floor The LED for getting out of bed is lit until the stop switch has passed the set time, the means to continue to report to the slave unit by sounding the buzzer notification buzzer, and the LED for getting out of bed when the set time has passed. Is turned off, the bed alert buzzer is stopped, and the body motion detection LED is turned off .

  According to the second aspect of the present invention, the BPF circuit that passes the respiration waveform from the biological information has a means for taking n times between vertices based on the respiration voltage waveform, and a maximum value and a minimum value among the n times. , A means for obtaining an average value of the remaining n−2, and a means for obtaining an average breathing time based on the average value.

  According to a third aspect of the present invention, the respiratory rate calculation circuit comprises: means for taking in respiratory-derived body motion voltage from the BPF circuit; means for detecting a peak value from the respiratory-derived body motion voltage waveform; Means for detecting a bottom value; means for calculating a threshold value for eliminating a value having a peak value equal to or less than a predetermined value; means for determining whether or not the respiratory-derived body motion voltage is equal to or greater than the threshold; and respiratory-derived body motion voltage Means that the flag = 0 is added to return to the original value, and if the respiratory-derived body motion voltage is equal to or higher than the threshold value, it is determined whether the flag = 0, and if the flag = 0 is No, If the respiratory derived body motion voltage is equal to or greater than the threshold, it is determined whether the flag = 0. If the flag = 0 is Yes, the flag = 1 is added, and the respiratory derived body motion pulse is output. Between the means and the respiratory motion pulse Characterized in that comprising a means for calculating a primary respiratory rate.

  In the invention according to claim 4, a BPF circuit that passes a heartbeat waveform from biological information obtains a heartbeat-derived body motion voltage waveform from a body motion voltage waveform output signal, and a plurality of vertices between vertices based on the heartbeat-derived body motion voltage waveform Comprising means for capturing a piece of data, means for truncating the maximum and minimum values from a plurality of data, means for obtaining an average value from the rest, and means for obtaining an average heartbeat time based on the average value It is characterized by.

  According to a fifth aspect of the present invention, the heart rate arithmetic circuit detects a peak value from the heartbeat-derived body motion voltage waveform, and means for taking in and amplifying the heartbeat-derived body motion voltage from the amplification / enlargement circuit and amplifying the time axis Means for detecting a bottom value from a heartbeat-derived body dynamic voltage waveform, means for calculating a threshold value for excluding a value whose peak value is less than or equal to a predetermined value, and whether or not the heartbeat-derived body dynamic voltage is greater than or equal to the threshold value. A means for determining, a means for adding a flag = 0 when the heartbeat-derived body dynamic voltage has not reached the threshold value, and a return; and a means for determining whether the flag = 0 if the heartbeat-derived body dynamic voltage is equal to or greater than the threshold value. When flag = 0 is No, a means for returning to the original state, and when the heartbeat-derived body motion voltage is equal to or greater than a threshold value, it is determined whether flag = 0, and when flag = 0 is Yes, a means for adding flag = 1 And means for outputting a heartbeat pulse Characterized in that comprising a means for calculating a primary heartbeat number from the interval of heart from body motion pulse.

  According to the sixth aspect of the invention, the determination circuit for getting out of bed, etc., means for resetting the body motion detection flag = 0 and means for determining the body motion detection flag = 1 ≧ threshold to determine whether or not the subject has left the floor. When the determination of body motion detection flag = 1 ≧ threshold is No, body motion voltage ≧ threshold is determined, and while the body motion voltage ≧ threshold is No, the means for returning to the original process and body motion voltage ≧ threshold Means that the body motion detection flag = 1 is set to return to the original state, the body motion detection flag = 1 ≧ when the threshold is Yes, the body motion voltage = 0 means, and the body motion voltage If = 0 is determined to be No, it is composed of means for resetting the bed leaving timer = 0 and returning to the original state, and means for starting the bed leaving timer when the body movement voltage = 0 is Yes.

According to the seventh aspect of the present invention, the maximum value and minimum value of the set time after the file relating to respiration rate and heart rate has already been opened are recorded, and the maximum value, minimum value, average value, and standard deviation are set every set time. The value is recorded and saved in a file, and a memory card that can be updated to a new file for each predetermined case is provided, and both the respiratory rate stored in this memory card, the heart rate threshold value, and the standard deviation value threshold value are stored. An alarm circuit for displaying / transmitting an alarm when it is exceeded is provided.

According to the first aspect of the present invention, a mat having a sensor for detecting biological information is laid on the bed, and the detection signal of the sensor is converted into an electric signal and sent to the logic judgment circuit. In the apparatus for collecting and transmitting the biological information that is determined to output whether or not the biological information is abnormal, the logic judgment circuit detects and processes the heartbeat information and means for detecting and processing the respiratory information And means for detecting the subject's bed and the like, and detecting and processing the respiratory information includes a BPF circuit that passes a respiratory waveform from the biological information detected by the sensor, and a respiratory-derived body A breathing rate calculation circuit for calculating the number of breaths from the motion pulse, and means for detecting and processing heartbeat information includes a BPF circuit that passes the heartbeat waveform from the biological information detected by the sensor, and a heartbeat waveform. A means for detecting a person's bed and the like, comprising: an amplification / expansion circuit that widens and expands a time axis; and a heart rate calculation circuit that calculates the number of heart beats from a heartbeat-derived body motion pulse. At least any one of a judgment circuit for setting a minimum body movement voltage and a bed leaving time for judging whether or not the subject has left the information from the information, a respiration rate calculation circuit, a heart rate calculation circuit, and a judgment circuit for getting out of bed, etc. Ri Do from an alarm circuit for outputting an alarm signal at an output, said alarm circuit, in order to the lifting notification process of the subject, to determine whether it has crossed the threshold when the body motion detecting plug = 1, beyond unless original When the body movement detection plug = 1, whether or not the threshold has been exceeded is Yes, the body movement detection LED is turned on. After the body movement detection LED is turned on, the bedtime timer sets the set time. Means for returning and returning until the set time elapses if not exceeded, means for lighting the LED for getting out of bed when the set time has passed, means for sounding the buzzer for getting out of bed, and A means to notify the slave that the subject has left the floor, a means to turn on the LED for getting out of the floor until the stop switch passes the set time, ring the buzzer notification buzzer, and continue reporting to the slave, and stop When the switch the set time, turns off the LED of the lifting notification, stops lifting Problem buzzer, Runode such and means for turning off the LED of the body motion detection has the following advantages.
The patient's physical abnormalities are measured without compromising human freedom by measuring vital signs of body movements including respiratory rate, respiratory fluctuation, heart rate, heart rate fluctuation, etc. Enables the transmission of information to nurses and remote persons without erroneous information. In addition, it is possible to know when the nurse wants to know the current state of the patient or the like.
Furthermore, whether or not the body motion voltage waveform derived from the breathing of the human body or the body motion voltage waveform derived from the heartbeat is abnormal cannot be determined uniquely. A more practical value can be set according to the difference.
Also, the alarm circuit turns on the body movement detection LED when the body movement is detected and exceeds the threshold value, and the bed movement timer is set after turning on the body movement detection LED in order to process the subject's bed leaving notification. When the time has elapsed, the LED for getting out of bed is turned on, the buzzer for getting out of bed is sounded, and the subject is informed that the subject has left the floor. The LED for getting out of bed, turning on the buzzer for buzzer, and reporting to the slave unit continue until the set time elapses for the stop switch. When the set time elapses for the stop switch, the LED for getting out of bed is turned off. Stop the bed alert buzzer and turn off the body motion detection LED. Therefore, it is possible to determine whether or not the subject has left the floor more accurately and perform a bed leaving notification process.

  According to invention of Claim 2, the BPF circuit which passes a respiration waveform from biometric information is based on a respiration voltage waveform, the means which takes n time between vertices, and a maximum value from n time Since a means for rounding down the minimum value, a means for obtaining the remaining n-2 average values, and a means for obtaining an average respiration time based on the average values are provided, a respiratory-derived living body obtained from the body motion voltage waveform Information and heartbeat-derived biological information can be extracted as a more accurate signal after noise processing. Moreover, in order to grasp the bed leaving state, it can be accurately set according to the symptoms of the subject.

  According to the third aspect of the present invention, the respiratory rate calculation circuit includes means for taking in respiratory-derived body motion voltage from the BPF circuit, means for detecting a peak value from the respiratory-derived body motion voltage waveform, and respiratory-derived body motion voltage. Means for detecting a bottom value from a waveform; means for calculating a threshold value for excluding a value having a peak value equal to or less than a predetermined value; means for determining whether or not a respiratory-derived body dynamic voltage is equal to or greater than a threshold value; When the dynamic voltage has not reached the threshold value, the flag = 0 is added to return, and when the respiratory-derived body dynamic voltage is equal to or higher than the threshold value, it is determined whether the flag = 0, and the flag = 0 is No When the respiratory-derived body motion voltage is equal to or higher than the threshold, it is determined whether the flag = 0, and when the flag = 0 is Yes, the means for adding the flag = 1, and the respiratory-derived body motion pulse Means for outputting and respiratory motion pulses Because and means for calculating a primary respiratory rate from septum, it is possible to obtain an accurate respiration pulse from the respiratory derived voltage by respiration rate computing circuit.

  According to the invention of claim 4, the BPF circuit that passes the heartbeat waveform from the biological information obtains the heartbeat-derived body motion voltage waveform from the body motion voltage waveform output signal, and based on the heartbeat-derived body motion voltage waveform, Means for capturing a plurality of data, means for truncating the maximum and minimum values from the plurality of data, means for obtaining an average value from the rest, and means for obtaining an average heart rate based on the average value Therefore, a more accurate heartbeat-derived body motion voltage waveform can be obtained.

  According to the fifth aspect of the present invention, the heart rate calculation circuit takes in the heartbeat-derived body dynamic voltage from the amplification / expansion circuit, amplifies and expands the time axis, and obtains a peak value from the heartbeat-derived body motion voltage waveform. Means for detecting; means for detecting a bottom value from a heartbeat-derived body motion voltage waveform; means for calculating a threshold value for excluding a value whose peak value is less than or equal to a predetermined value; Means for determining whether or not the heartbeat-derived body motion voltage has reached the threshold value, means for adding flag = 0 and returning to the original state, and if the heartbeat-derived body motion voltage is greater than or equal to the threshold value, whether flag = 0 When flag = 0 is determined to be No, a means for returning to the original state is determined. If the heartbeat-derived body dynamic voltage is equal to or greater than the threshold value, it is determined whether flag = 0. If flag = 0 is Yes, flag = 1 is added. To output heartbeat-derived body motion pulses And stage, since and means for calculating a primary heartbeat number from the interval of heartbeats from body motion pulse, it is possible to obtain a more accurate heartbeat pulses from the denoised heart from body motion voltage waveform.

  According to the sixth aspect of the present invention, the determination circuit for getting out of bed and the like determines a means for resetting the body motion detection flag = 0 and the body motion detection flag = 1 ≧ threshold to determine whether or not the subject has left the floor. Means and body motion detection flag = 1 ≧ when threshold is No, body motion voltage ≧ threshold is determined, and while body motion voltage ≧ threshold is No, means for returning to the original process and body motion voltage When the threshold value is Yes, the body motion detection flag = 1 is set to return to the original, and when the body motion detection flag = 1 ≧ the threshold value is Yes, the body motion voltage = 0 is determined, and the body When the dynamic voltage = 0 is determined to be No, it is composed of means for resetting the bedtime timer = 0 and returning to the original, and means for starting the bedtime timer when the body movement voltage = 0 is Yes. Set a threshold according to individual differences to accurately determine whether you have left the floor. Can.

According to the invention of claim 7, wherein the maximum value of the setting time from the already opened a file relating to respiration and heart rate, a minimum value is recorded, further maximum value for each set time, minimum, average, A standard deviation value is recorded and saved in a file, and a memory card that can be updated to a new file is provided for each predetermined case, and the respiratory rate, heart rate threshold value, and standard deviation value threshold value stored in this memory card are stored. Since it has an alarm circuit that displays and transmits an alarm when both are exceeded, the maximum value, minimum value, average value, etc. of breathing and heart rate are stored in the memory card, and a notification is issued when there is an abnormality Can do.
Furthermore, by analyzing the number of breaths and heartbeats and the standard deviation, body temperature and blood pressure can be indirectly estimated, and diseases such as colds, abdominal pains and stomach pains and abnormalities such as excretion can be detected very early.

It is explanatory drawing which shows one Example of the apparatus which collects and transmits the biometric information by this invention. 1 shows Embodiment 1 of a mat 13 used in the apparatus of the present invention, in which (a) is a plan view showing an example in which a pressure sensor 14 is incorporated in an air bag, and (b) is an air bag in which the pressure sensor 14 is incorporated. It is a top view which shows the example externally attached to. It is a block diagram which shows an example of the electric circuit of the logic judgment circuit 17 of this invention. FIG. 4 is a biological signal waveform diagram that has passed through a first BPF circuit 22. FIG. 6 is a waveform diagram of a biological signal (respiration signal) that has passed through a second BPF circuit 23. 6 is a flowchart of the breathing rate noise processing by the noise processing circuit 25. 7 is a flowchart of a calculation process of a biological signal (respiration signal) by the respiration rate calculation circuit 26. 12 is a flowchart of heart rate noise processing by the third BPF circuit 24. FIG. 6 is a waveform diagram of a biological signal (heart rate signal) that has passed through a third BPF circuit 24. 6 is a waveform diagram of a biological signal (heartbeat signal) amplified by an amplification / expansion circuit 27. FIG. FIG. 6 is a waveform diagram of a biological signal (heartbeat signal) obtained by enlarging the time axis by an amplification / expansion circuit 27. 5 is a flowchart of a calculation process of a biological signal (heart rate signal) by a heart rate calculation circuit 28. 4 is a waveform diagram of a heartbeat pulse signal output from a heart rate calculation circuit 28. FIG. 5 is a flowchart of starting a bed timer for determining whether or not the subject 10 has left the bed in the bed leaving determination circuit 31. 6 is a flowchart for determining whether or not the subject 10 has left the bed, such as a bed leaving alarm circuit 32, and performing a bed leaving notification process. It is a flowchart for recording respiration, a heartbeat, and other biometric information in a memory. FIG. 3 shows a second embodiment of a mat 13 used in the apparatus of the present invention, in which (a) is a sectional view and (b) is a partial perspective view.

In the present invention, a mat having a sensor for detecting biological information is laid on a bed, a detection signal from the sensor is converted into an electric signal, and the signal is sent to a logic judgment circuit. In the apparatus for collecting and transmitting biological information that is determined and output, the logic determination circuit includes means for detecting and processing respiratory information, means for detecting and processing heart rate information, Means for detecting bed leaving and the like, and means for detecting and processing the respiratory information includes a BPF circuit that passes a respiratory waveform from the biological information detected by the sensor, and a respiratory frequency from a respiratory-derived body motion pulse. Comprising a respiration rate arithmetic circuit for calculating, means for detecting and processing heart rate information, a BPF circuit that passes the heart rate waveform from the biological information detected by the sensor, amplifies the heart rate waveform, and expands the time axis. The means for detecting the subject's bed, etc., whether the subject has left the body from the biological information detected by the sensor. A determination circuit for setting a minimum body motion voltage and a bed leaving time for determining whether or not, and an alarm circuit for outputting a warning at the output of the determination circuit for the respiratory rate, the heart rate calculation circuit, and the bed leaving,
The alarm circuit determines whether or not the threshold value has been exceeded when the body motion detection plug = 1 in order to process the subject's bed leaving notification, and if not, means for returning to the original and repeating, and the body motion detection plug = 1 When the threshold value is exceeded, the answer is Yes. When the body movement detection LED is turned on and the body movement detection LED is turned on, it is determined whether the set-up timer has passed the set time. Means to repeat until elapsed, means to turn on the LED for getting out of bed when the set-up timer elapses, means to sound a buzzer for getting out of bed, means to report to the child that the subject has left, and stop The LED for getting out of bed is lit until the set time elapses, the buzzer for getting out of bed is sounded, and the LED for getting out of bed is issued when the set time elapses. Extinguished, stop the lifting Problem buzzer, a device for collecting and transmitting biometric information, characterized in that and means for turning off the LED of the body motion detection.

According to invention of Claims 8-15 , a sensor is
An air mat with a pressure sensor,
A sheet-like capacitive pressure sensor sandwiched between a signal electrode and a ground electrode on the upper and lower surfaces of a sensor element in which countless small bubbles are formed inside a polypropylene sheet and charged.
A capacitance type pressure sensor in which a capacitance is changed by changing a size of a portion not in contact with each other by providing a portion in contact with each other and a portion not in contact with each other between the pair of conductive cloth and the dielectric;
A strain detection sensor in which a cable-like strain detection sensor is mounted on an elastically bendable laying plate,
A sheet-like member comprising a piezoelectric sensor in which a flexible cable-like or film-like piezoelectric sensor is arranged as a pressure-sensitive means;
Comprising a flexible substrate and an exterior member covering the flexible substrate, the flexible substrate comprising a flexible acceleration sensor unit in which a functional unit continuously measures parameters related to predetermined biological information;
Light from a light source is incident on an optical fiber provided on a flat plate such as a sheet, and a change in the polarization state of light propagating in the optical fiber caused by a change in the shape of the optical fiber due to biological activity is detected. An optical fiber type plate sensor for detecting biological information from the detected value of polarization fluctuation,
A plurality of detection pieces made of polymer piezoelectric film are laid in parallel on a core made of soft silicon rubber, and this is sandwiched between two towels in a sandwich shape. Various sensors such as those made of molecular piezoelectric films are used.

Embodiment 1 of the present invention will be described below with reference to the drawings.
In FIG. 1, it is assumed that a mattress (or mattress) 12a is laid on a bed 11, a pillow 12b is placed thereon, and the subject 10 is lying down. A head mat 13a is inserted between the mattress 12a and the pillow 12b, and a chest mat 13b is inserted between the mattress 12a and the bed 11 and positioned on the chest of the subject 10. At the same time, the waist mat 13c is inserted in the buttocks of the subject 10. These head mat 13a, chest mat 13b and waist mat 13c are combined with a head pressure sensor 14a, a chest pressure sensor 14b and a waist pressure sensor 14c as biological phenomenon detection sensors, respectively. Yes.
These mats 13 are not necessarily in three places, but may be in any one or two places, or in four or more places. The mat 13 is inserted into the bedding 12 under the head, chest, and buttocks where it is easy to detect the body movement of the subject 10, but changes in body pressure such as human breathing and heartbeat are affected by body movement voltage. As long as it can be measured, the present invention is not limited to the above example, and may be installed so as to be in direct contact with the subject 10 without interposing the bedding 12 such as the mattress 12a and the pillow 12b.
Hereinafter, in the first embodiment, the mat 13 uses an air mat, and uses a pressure sensor that detects a change in body movement such as human breathing and heartbeat as a change in air pressure as a biological information detection sensor. I will explain. However, the present invention is not necessarily limited to this as described in the second embodiment.

As the air mat 13, a known one can be used. For example, the one shown in FIG. 2A has a pressure sensor 14 installed inside an airtight air bag, and the dynamic pressure generating part of the pressure sensor 14 captures minute biological vibration and movement of the subject 10 as pressure fluctuations. This pressure fluctuation is converted into a voltage by the piezoelectric element of the dynamic pressure detection unit, and a biological information signal is output from the lead wire 16. 2B, an air tube 15 for leading air to the outside is coupled to an air-tight air bag, and a pressure sensor 14 is coupled to the air tube 15 so that a biological information signal is transmitted through a lead wire 16. Output.
The air bag has an airtight structure inside, and is kept in shape by an elastic support material that is put inside. There is no complete contact, and when the pressure is released, it is swelled by the elasticity of the support material and sucks outside air and restores its original thickness. As the elastic support material for restoring the original thickness, compressed air, sealed liquid, elastic material, or the like can be used.

  The lead wires 16 of the pressure sensors 14 are connected to a logic judgment circuit 17 and sent to a central server 19 via a network 18 and are terminals of nurses, households, hospitals, nursing homes, etc. related to the subject 10. Connected to device 20.

The logic determination circuit 17 has a circuit configuration as shown in FIG. 3, for example.
The air mat 13 is connected to a first BPF (band pass filter) circuit 22 that passes a body motion signal of 0.1 to 25 Hz while removing noise such as daily vibration through an amplifier 21. The first BPF circuit 22 includes a second BPF (passing a body motion signal of 0.1 to 0.47 Hz while removing noise from the body motion signal that has passed through the first BPF circuit 22. A band-pass filter) circuit 23, a third BPF (band-pass filter) circuit 24 that passes a body movement signal of 3 to 5 Hz while removing noise, and a bed movement determination that determines a body movement signal that determines bed leaving and the like. The circuit 31 is connected in parallel.

The second BPF circuit 23 is connected to a respiration rate calculation circuit 26, which is connected to a respiration rate output terminal 33 that outputs a respiration rate and an alarm circuit 29. Further, an amplification / expansion circuit 27 and a heart rate calculation circuit 28 are sequentially connected to the third BPF circuit 24. The heart rate calculation circuit 28 includes a heart rate output terminal 35 for outputting a heart rate and the alarm circuit. 29.
A threshold value input terminal 30 for inputting a threshold value for determining bed leaving or the like is connected to the input side of the bed leaving determination circuit 31, and the alarm circuit 29 is connected to the output side. Etc. are connected to the output terminal.

The operation of the apparatus for collecting and transmitting biological information configured as described above will be described.
The body motion signal output from the pressure sensor 14 of the air mat 13 is amplified by the amplifier 21 and then sent to the first BPF circuit 22. The first BPF circuit 22 generates body motion signals as wide as possible for detecting abnormalities such as respiratory rate, heart rate, bed leaving behavior, arrhythmia, and abnormal breathing from the body motion signals sent. In order to capture, a body motion voltage waveform signal of 0.1 to 25 Hz is passed, and the rest is removed as noise. Then, a body movement voltage waveform as shown in FIG. 4 is obtained.
Based on the body motion voltage waveform signal of FIG. 4, the second BPF circuit 23 removes noise while passing 0.15 to 0.47 Hz to obtain the respiratory-derived body motion voltage waveform shown in FIG. The respiratory-derived body dynamic voltage waveform shown in FIG. 5 is subjected to noise processing of the respiratory rate by the algorithm shown in FIG. That is, in FIG.
(A) n (for example, 5) ring buffer steps of respiration rate (times / min): Based on the waveform shown in FIG. 5, for example, five time data x1, x2,. Accumulate in buffer.
(B) Step of truncating maximum / minimum: The maximum value and the minimum value are truncated from the five pieces of time data x1, x2,.
(C) Step of averaging the remaining three: The average value of the remaining three is obtained.
(D) Respiration rate step: An average respiration time is obtained based on the average value of three.

Next, the respiratory rate calculation circuit 26 obtains a respiratory pulse from the respiratory-derived voltage. That is, in FIG.
(A) Step of capturing respiratory-derived body dynamic voltage: The respiratory-derived body dynamic voltage that has passed through the second BPF circuit 23 is captured in the respiratory rate calculation circuit 26.
(B) Step of detecting a peak value: A point at which the differential value of the respiratory-derived body motion voltage waveform shown in FIG. 5 changes from positive to negative is detected as a peak value.
(C) Step of detecting bottom value: A point at which the differential value of the respiratory-derived body motion voltage waveform shown in FIG. 5 changes from negative to positive is detected as a bottom value.
(D) A step of calculating a threshold value: A threshold value for eliminating a value having a peak value equal to or less than a predetermined value is calculated. It is desirable that the threshold value has an individual difference for each subject 10 in order to ensure accuracy.
(E) Step of comparing and determining the respiratory-derived body motion voltage and the threshold value: It is determined whether or not the respiratory-derived body motion voltage is equal to or greater than the threshold value.
(F) Step of adding flag = 0: If the respiratory-derived body motion voltage is equal to or lower than the threshold value and (e) step is No, flag = 0 is added and the processing returns to step (a).
(G) Step of determining flag = 0: If the respiratory-derived body motion voltage is equal to or greater than the threshold value and (e) the step is Yes, it is determined whether flag = 0, and if flag = 0 is No, (a) Return to the process.
(H) Step of adding flag = 1: (g) If the step is Yes, add flag = 1.
(I) A step of outputting a respiratory-derived body motion pulse: A respiratory-derived body motion pulse is output.
(J) The step of calculating the number of primary breaths (times / minute): The number of primary breaths (the number of breaths per minute) is calculated from the interval of respiratory motion pulses. A typical respiration rate is 15-22 breaths / minute. This output is sent to the alarm circuit 29, sent from the respiration rate output terminal 33 to the display device, displayed, and sent to the printer for printing.

The body motion voltage waveform output signal shown in FIG. 4 obtained from the first BPF circuit 22 is sent to the third BPF circuit 24, which passes 3 to 5 Hz in the third BPF circuit 24, and the others. Is removed as noise to obtain the heartbeat-derived body motion voltage waveform shown in FIG. The heart rate-derived body dynamic voltage waveform shown in FIG. 9 is subjected to noise processing of the heart rate by the algorithm shown in FIG. That is, in FIG.
(A) Heart rate (times / minute) n (for example, 5) ring buffer process: Based on the waveform shown in FIG. 9, 5 data between vertices are stored in the ring buffer.
(B) Maximum / minimum truncation step: The maximum value and the minimum value are discarded from the five pieces of data.
(C) Step of averaging the remaining three: The average value of the remaining three is obtained.
(D) Obtaining a heart rate: An average heart rate is obtained based on the average of three values.

The heart rate-derived body dynamic voltage waveform shown in FIG. 9 obtained by performing the noise processing on the heart rate by the algorithm shown in FIG. 8 is obtained by the amplification / expansion circuit 27 as shown in FIG. 10, and the time axis shown in FIG. Get an enlarged waveform.
An algorithm for obtaining a heartbeat pulse from the heartbeat-derived body motion voltage waveform shown in FIG. 11 from which noise has been removed will be described with reference to FIG.
(A) Step of capturing heartbeat-derived body dynamic voltage: The heartbeat-derived body dynamic voltage waveform shown in FIG. 11 is captured.
(B) Step of detecting a peak value: A point at which the differential value of the heartbeat-derived body dynamic voltage waveform changes from positive to negative is detected as a peak value.
(C) Step of detecting bottom value: A point at which the differential value of the heartbeat-derived body dynamic voltage waveform changes from negative to positive is detected as a bottom value.
(D) A step of calculating a threshold value: A threshold value for eliminating a value having a peak value equal to or less than a predetermined value is calculated. It is desirable that the threshold value has an individual difference for each subject 10 in order to ensure accuracy.
(E) Heart rate-derived body dynamic voltage and threshold comparison determination step: It is determined whether or not the heart-rate derived body dynamic voltage is equal to or greater than the threshold value.
(F) Step to add flag = 0: (e) If step No, add flag = 0 and return to step (a).
(G) Step of determining flag = 0: (e) If the step is Yes, it is determined whether flag = 0, and if the flag = 0 is No, the processing returns to (a).
(H) Step of adding flag = 1: (g) If the step is Yes, add flag = 1.
(I) Heartbeat-derived body motion pulse output step: A heartbeat-derived body motion pulse is output.
(J) Step of calculating the number of primary heartbeats (times / minute): The number of primary heartbeats (number of heartbeats per minute) is calculated from the interval between heartbeat-derived body motion pulses. When the time axis of the body-derived body motion voltage shown in FIG. 11 is enlarged, the pulse waveform shown in FIG. 13 is obtained. A typical heart rate is 60-100 beats / minute. This output is sent to the alarm circuit 29, sent from the heart rate output terminal 35 to the display device, displayed, and sent to the printer for printing.

  The respiration rate from the respiration rate calculation circuit 26 and the heart rate from the heart rate calculation circuit 28 are sent to the alarm circuit 29, and an algorithm for detecting abnormalities such as getting-off behavior, arrhythmia, abnormal breathing, etc., which will be described later, and the continuous When it is determined as abnormal information from comparison with the threshold value of the memory in which the data is stored, the logic determination circuit 17 shown in FIG. 1 is automatically applied to a terminal device such as a home phone such as a nurse or a remote person, a mobile phone, or a PC. It functions as an automatic patient monitoring device composed of a processor composed of a display device for transmitting information and a transmission device.

The pressure sensor 14 and the logic judgment circuit 17 in FIG. 1 have shown an example in which information is transmitted by wire called a lead wire 16, but information can also be transmitted wirelessly. There is a merit to disappear.
When the pressure sensor 14 is attached to the inside of the air bag as shown in FIG. 2 (a), information transmission to the logic judgment circuit 17 is not required for a license such as Bluetooth, ZigBee, or infrared, but an ultra short-wave short-range wireless device. Can also be done.
The logic judgment circuit 17 has an algorithm in which thresholds determined to be abnormal for the subject 10 such as bed leaving behavior, arrhythmia, and breathing are determined by items to be judged as abnormal. This algorithm is incorporated in the logic judgment circuit 17 to constitute an automatic monitoring device for the subject 10.

Next, in order to determine whether or not the subject 10 has left the bed, the minimum body motion voltage is set by the algorithm of FIG. That is,
(A) Step of setting body motion detection flag = 0: When the power is turned on, the body motion detection flag is reset to 0.
(B) Body Motion Detection Flag = 1 ≧ Threshold Determination Step: Immediately after resetting the body motion detection flag = 0, the determination of body motion detection flag = 1 ≧ threshold is No. It is desirable that the threshold value has an individual difference for each subject 10 in order to ensure accuracy.
(C) Body motion voltage ≧ threshold determination step: While body motion voltage ≧ threshold is No, the process returns to the step (b).
(D) Step of setting body motion detection flag = 1: When body motion voltage ≧ threshold is Yes, body motion detection flag = 1 is set, and the processing returns to step (b).
(E) Step of determining body motion voltage = 0: When the body motion detection flag = 1 ≧ the threshold is determined Yes in the step (b), body motion voltage = 0 is determined.
(F) Step of resetting the bed leaving timer = 0: When the body movement voltage = 0 is determined No in the step (e), the bed moving timer is reset to 0, and the processing returns to the step (b).
(G) Step for starting the bed leaving timer: When the body movement voltage = 0 is determined as Yes in the step (e), the bed leaving timer is started.

Whether or not the subject 10 has left the bed is determined by the algorithm shown in FIG. That is,
(A) Body motion detection flag = 1 ≧ threshold determination step: When the body motion detection flag = 1, it is determined whether or not the threshold is exceeded. If not, the step (a) is repeated.
(B) Step of lighting the body motion detection LED: When the body motion detection flag = 1, if the threshold is exceeded, the body motion detection LED is turned on.
(C) Judgment step of getting-off timer = set time (for example, 5 seconds): After turning on the body motion detection LED in the step (b), the getting-off timer is started and it is judged whether the getting-off timer = 5 seconds has elapsed. If not, return to step (a) and repeat until 5 seconds.
(D) Step of turning on the LED for getting out of bed: When the timer for getting out of bed = 5 seconds elapses in the step (c), the LED for getting out of bed is turned on.
(E) Step of sounding the buzzer for getting out of bed: The buzzer of getting out of bed is simultaneously sounded.
(F) Step of notifying the child device of getting out of bed: Furthermore, the child device is notified that the subject 10 has left the bed.
(G) Stop switch = determination process of set time (for example, 5 seconds): From the start of (d), (e), and (f), stop switch is determined to be 5 seconds. (D) (e) (f) continues.
(H) Step of turning off the LED for getting out of bed: When the judgment of stop switch = 5 seconds is Yes, the LED for getting out of bed is turned off.
(I) Step of stopping the buzzer for getting out of bed: Simultaneously stopping the buzzer of getting out of bed.
(J) Step of turning off the body motion detection LED: Further, the body motion detection LED is turned off.

（ｊ）心拍数最大値を記録する工程：同時に、心拍数の最大値を記録する。
（ｋ）心拍数最小値を記録する工程：同時に、心拍数の最小値を記録する。
（ｌ）心拍数平均値を記録する工程：同時に、心拍数の平均値を記録する。この心拍数の平均値は、図１３の数値ｘ１、ｘ２、…に基づき、心拍数演算回路２８にて次式により求められる。

（ｍ）記録タイマ＝設定時間（例えば６０秒）の判断工程：記録タイマ＝６０秒がＮｏの場合、前記（ａ）〜（ｌ）工程を繰り返す。
（ｎ）分散工程：前記（ｍ）工程でＹｅｓの場合、呼吸数と心拍数の標準偏差値 は、それぞれ呼吸数演算回路２６と心拍数演算回路２８にて次式の平方根として得られる。

（ｏ）記録タイマ＝０にする工程：記録タイマ＝０にリセットする。
（ｐ）心拍数＞閾値の判断工程：心拍数＞閾値の判断をする。
(ｑ）心拍標準ヘンサ＞閾値の判断工程：心拍数＞閾値がＹｅｓの場合、心拍標準ヘンサ＞閾値の判断をする。
（ｒ）心拍通報ブザー・心拍通報・心拍通報ブザー解除の工程：心拍標準偏差＞閾値がＹｅｓの場合、心拍通報ブザーを鳴動し・心拍通報し、所定時間後、心拍通報ブザーを解除する。
（ｓ）呼吸＞閾値の判断工程：心拍数＞閾値がＮｏ、心拍標準偏差＞閾値がＮｏ又は心拍通報ブザーを解除後に、呼吸＞閾値の判断をする。
（ｔ）呼吸標準偏差＞閾値の判断工程：呼吸＞閾値がＹｅｓの場合、呼吸標準偏差＞閾値を判断する。
（ｕ）呼吸通報ブザー・呼吸通報・呼吸通報ブザー解除の工程：呼吸標準偏差＞閾値がＹｅｓの場合、呼吸通報ブザーを鳴動し・呼吸通報し、所定時間後、呼吸通報ブザーを解除する。
（ｖ）呼吸と心拍の最大値と平均値＝０、呼吸と心拍の最小値＝９９９にする工程：呼吸数＞閾値がＮｏ、呼吸標準偏差＞閾値がＮｏ又は呼吸通報ブザーを解除後に、呼吸と心拍の最大値と平均値＝０、呼吸と心拍の最小値＝９９９に設定する。
（ｗ）記録件数＞５０００の判断工程：記録件数が例えば５０００件に達するまで（ａ）〜（ｖ）を繰り返す。
（ｘ）新しいファイルをオープンする工程：記録件数が５０００件に達したら新しいファイルをオープンする。 FIG. 16 shows an algorithm for storing a breath, a maximum value, a minimum value, an average value, and the like of a heartbeat in a memory card and issuing a notification when an abnormality occurs.
(A) Determining whether or not a memory card has been detected: It is determined whether or not a memory card (for example, an SD card) has been detected.
(B) Step of closing the file: If No in the step (a), the file is closed.
(C) Step of stopping the recording timer: After closing the file in the step (b), the recording timer is stopped and the processing returns to the step (a).
(D) Judgment process of file already open = set time (for example, 60 seconds): If Yes in step (a), it is determined whether the file has already been opened = 60 seconds.
(E) File open step: When the step (d) is No and the file is not opened, the file is opened.
(F) Starting the recording timer: After opening the file in the step (e), the recording timer is started.
(G) The step of recording the maximum respiration rate: when the file has already been opened in the step (a) = Yes when 60 seconds have elapsed, or when the recording timer is started in the step (f), the maximum value of the respiration rate Record.
(H) The step of recording the minimum value of the respiration rate: Simultaneously, the minimum value of the respiration rate is recorded.
(I) Step of recording the average value of respiratory rate: Simultaneously, the average value of respiratory rate is recorded. The average value of the respiration rate is obtained by the respiration rate calculation circuit 26 based on the numerical values x1, x2,.

(J) Recording the maximum value of the heart rate: Simultaneously, the maximum value of the heart rate is recorded.
(K) Recording the minimum value of the heart rate: Simultaneously, the minimum value of the heart rate is recorded.
(L) Step of recording the average value of heart rate: Simultaneously, the average value of heart rate is recorded. The average value of the heart rate is obtained by the following equation in the heart rate calculation circuit 28 based on the numerical values x1, x2,.

(M) Judgment process of recording timer = set time (for example, 60 seconds): When recording timer = 60 seconds is No, the steps (a) to (l) are repeated.
(N) Dispersion step: In the case of Yes in the step (m), the standard deviation values of the respiratory rate and the heart rate are obtained as the square roots of the following equations by the respiratory rate calculation circuit 26 and the heart rate calculation circuit 28, respectively.

(O) Step of setting recording timer = 0: resetting recording timer = 0.
(P) Heart rate> threshold value determination step: Heart rate> threshold value is determined.
(q) Heart rate standard changer> threshold value determination step: When the heart rate> threshold value is Yes, it is determined that the heart rate standard changer> threshold value.
(R) Heart rate report buzzer / heart rate report / heart rate report buzzer release process: When the standard deviation of heart rate> the threshold value is Yes, the heart rate report buzzer sounds / heart rate report, and after a predetermined time, the heart rate report buzzer is released.
(S) Respiration> Threshold judgment step: Heart rate> Threshold value is No, Heart rate standard deviation> Threshold value is No, or After releasing the heart rate notification buzzer, Respiration> Threshold is judged.
(T) Respiratory standard deviation> threshold determination step: When respiration> threshold is Yes, respiration standard deviation> threshold is determined.
(U) Respiration notification buzzer / respiration notification / respiration notification buzzer release process: Respiration standard buzzer> If the threshold is Yes, the respiration notification buzzer is sounded / respiratory notification, and after a predetermined time, the respiratory notification buzzer is released.
(V) Step of setting maximum value and average value of respiration and heart rate = 0 and minimum value of respiration and heart rate = 999: Respiration rate> Threshold value is No, Respiration standard deviation> Threshold value is No or Respiration after releasing buzzer buzzer And the maximum value and average value of heart rate = 0, and the minimum value of respiration and heart rate = 999.
(W) Judgment process of the number of records> 5000: (a) to (v) are repeated until the number of records reaches, for example, 5000.
(X) Opening a new file: When the number of records reaches 5000, a new file is opened.

  As described above, the maximum value and minimum value for the first 60 seconds relating to the respiration rate / heart rate are recorded, and further, the maximum value, minimum value, average value, and standard deviation value are recorded and saved in a file every 60 seconds. Updated to new file every time. In the notification of the respiratory rate and heart rate, when both the threshold value of these values and the threshold value of the standard deviation value are exceeded, an alarm is displayed and transmitted from the alarm circuit 29 in the same manner as in the case of getting out of bed shown in FIG. Is called.

The alarm circuit 29 can be configured to output from the alarm output terminal 36 by a combination of outputs as follows. It is desirable that the combination is appropriately determined according to the medical history of the subject 10.
(1) An alarm is output by any one or more outputs via an OR gate on the output side of the respiration rate calculation circuit 26, the heart rate calculation circuit 28, and the bed leaving determination circuit 31.
(2) An alarm is output by any two or more outputs via an OR gate on the output side of any two combinations of the respiration rate calculation circuit 26, the heart rate calculation circuit 28, and the bed leaving determination circuit 31.
(3) An alarm is output by all outputs via AND gates on all output sides of the respiration rate calculation circuit 26, the heart rate calculation circuit 28, and the bed leaving determination circuit 31.

In the mat 13 used in the above embodiment, the pressure sensor 14 is directly attached to the inside of the airtight air bag, or the pressure sensor 14 is attached to the outside through the air tube 15. Fine biological vibrations and movements of the subject 10 are captured as pressure fluctuations, and the pressure fluctuations are converted into voltages by the piezoelectric elements of the dynamic pressure detection unit, and biological information signals are output from the lead wires 16.
The present invention is not limited to these, and sensors as shown below can be used.
FIG. 17 shows a sheet-like capacitive pressure sensor 37. This sheet-like capacitive pressure sensor 37 is formed by forming an infinite number of bubbles 45 having an average diameter of about 1 μm inside a polypropylene sheet 46 and charging the polypropylene sheet 46 with a charged thickness. The sensor element 44 of 60 to 70 μm traps electric charge in the bubble 45 so that it is not easily dissipated. A signal electrode 41 and a ground electrode 47 are sandwiched between the upper and lower surfaces of the sensor element 44, and a shield electrode 38 is further bonded on the signal electrode 41. The shield electrode 38 is obtained by applying a shield electrode layer 40 made of an aluminum foil of about 9 μm to an insulating sheet 39 of a polyester film of about 65 μm. Similarly, the signal electrode 41 is obtained by applying a signal electrode layer 43 made of an aluminum foil of about 9 μm to an insulating sheet 42 of a polyester film of about 65 μm, and the ground electrode 47 is an insulation of a polyester film of about 65 μm. A sheet 48 is coated with a ground electrode layer 49 made of an aluminum foil of about 9 μm.
This shield-type capacitive pressure sensor 37 can simultaneously detect mg-order changes such as heartbeats and respiratory pulsations superimposed on weighted changes in human weight, and the signal is transmitted from the connector 50 to the shielded cable 51. It is derived through.

Capacitive pressure sensor A pair of conductive cloths having elasticity and flexibility provided with a dielectric material having elasticity and flexibility on both sides between a pair of conductive cloths having elasticity and flexibility, and the pair A portion between the pair of conductors and the dielectric is provided between the conductive cloth and the dielectric, and the pair of conductive cloths are configured to be electrically connected to each other by a connecting portion; The capacitance varies as the position and size of the non-contact portion change.

Strain detection sensor A cable-like strain detection sensor is attached to the elastically bendable laying plate, and the laying plate is placed on the lower side of the subject. The fluctuation is detected by a strain detection sensor.

Piezoelectric sensor A sheet-like member in which a flexible cable-like piezoelectric sensor is arranged as pressure-sensitive means.

A flexible acceleration sensor includes a flexible substrate and an exterior member that covers the flexible substrate, and a functional unit of the flexible substrate includes a flexible acceleration sensor unit that continuously measures parameters related to predetermined biological information.

Optical fiber flat plate sensor An optical fiber flat plate sensor formed by fixing or mixing an optical fiber on a flat plate such as a cloth sheet is laid or covered, and light is emitted from a light source into the optical fiber. A change in polarization state of light propagating through the optical fiber caused by a change in the shape of the optical fiber type plate sensor in accordance with human movement or biological activity is detected by a polarization fluctuation measuring device; Human activity and movement are discriminated from the detected value of the polarization fluctuation.

Polymer Piezoelectric Film A plurality of detection pieces made of polymer piezoelectric film are arranged in parallel on a core made of soft silicone rubber, and this is sandwiched between two towels. The detection mat is configured by sandwiching and overlapping.

Piezoelectric film or piezoelectric element A body elastic wave signal detected by a sensor body made of a piezoelectric film or a piezoelectric element is output as a detection signal consisting of an electrical signal, and a biological information component is extracted from this detection signal to generate a biological information signal.

  DESCRIPTION OF SYMBOLS 10 ... Test subject, 11 ... Bed, 12 ... Bedding, 13 ... Mat, 14 ... Sensor, 15 ... Air tube, 16 ... Lead wire, 17 ... Logic judgment circuit, 18 ... Network, 19 ... Central server, 20 ... Terminal device, DESCRIPTION OF SYMBOLS 21 ... Amplifier, 22 ... 1st BPF circuit, 23 ... 2nd BPF circuit, 24 ... 3rd BPF circuit, 26 ... Respiration rate calculation circuit, 27 ... Amplification / expansion circuit, 28 ... Heart rate calculation circuit, 29 DESCRIPTION OF SYMBOLS ... Alarm circuit, 30 ... Threshold input terminal, 31 ... Judgment circuit, etc. 33 ... Respiration rate output terminal, 35 ... Heart rate output terminal, 36 ... Alarm output terminal, 37 ... Shielded capacitive pressure sensor, 38 Shield electrode, 39 ... Insulating sheet, 40 ... Shield electrode layer, 41 ... Signal electrode, 42 ... Insulating sheet, 43 ... Signal electrode layer, 44 ... Sensor element, 45 ... Bubble, 46 ... Polypropylene Nshito, 47 ... ground electrode, 48: insulating sheet, 49 ... ground electrode layer, 50 ... connector, 51 ... shielded cable.

Claims (15)

A mat having a sensor for detecting biological information is laid on the bed, and the detection signal of the sensor is converted into an electric signal and sent to a logic judgment circuit. The logic judgment circuit determines whether the biological information is abnormal. In the device that collects and transmits biological information that is output, the logic judgment circuit detects means for detecting and processing respiration information, means for detecting and processing heartbeat information, and the bed of the subject. And means for detecting and processing the respiration information includes a BPF circuit that passes a respiration waveform from the biological information detected by the sensor, and a respiration rate for calculating a respiration rate from a respiration-derived body motion pulse. An arithmetic circuit comprising means for detecting and processing heart rate information includes a BPF circuit that passes the heartbeat waveform from the biological information detected by the sensor, and an amplification that amplifies the heartbeat waveform and expands the time axis. The enlargement circuit and a heart rate calculation circuit for calculating the number of heart beats from the heart rate-derived body motion pulse, and means for detecting the subject's bed and the like determine whether or not the subject has left the body based on the biological information detected by the sensor. A judgment circuit for setting a minimum body motion voltage and a bed leaving time, and an alarm circuit for outputting an alarm at the outputs of the respiration rate calculation circuit, the heart rate calculation circuit and the judgment circuit for getting out of bed, and the alarm circuit Determines whether or not the threshold is exceeded when the body movement detection plug = 1 in order to process the subject's bed leaving notification, and if it does not exceed the threshold, when the body movement detection plug = 1, If it exceeds Yes, the means to turn on the body movement detection LED and the body movement detection LED turn on, then determine whether the set-up timer has passed the set time. Means for turning back, means for turning on the LED for getting out of bed when the set-up timer elapses, means for sounding the buzzer for getting out of bed, means for notifying the child that the subject has left, and a stop switch Until the set time elapses, the LED for getting out of bed is lit, the buzzer for getting out of bed is sounded, the means for continuing to report to the slave unit, and the LED for getting out of bed is turned off when the set time has elapsed for the stop switch, An apparatus for collecting and transmitting biological information, characterized by comprising means for stopping the bed leaving notification buzzer and turning off the LED for detecting body movement .   The BPF circuit that passes through the respiration waveform from the biological information is based on the respiration voltage waveform, means for taking n times between vertices, means for truncating the maximum and minimum values from the n times, and the remaining n− 2. The apparatus for collecting and transmitting biological information according to claim 1, further comprising means for obtaining two average values and means for obtaining an average respiration time based on the average values.   The respiration rate arithmetic circuit includes means for taking in respiratory-derived body motion voltage from the BPF circuit, means for detecting a peak value from the respiratory-derived body motion voltage waveform, means for detecting a bottom value from the respiratory-derived body motion voltage waveform, Means for calculating a threshold value for eliminating a value of the peak value below a predetermined value, means for determining whether the respiratory-derived body motion voltage is equal to or higher than the threshold value, and when the respiratory-derived body motion voltage has not reached the threshold value, A means for returning to the original state by adding a flag = 0, and if the respiratory-derived body motion voltage is equal to or greater than the threshold value, it is determined whether the flag is 0. When the dynamic voltage is equal to or higher than the threshold value, it is determined whether or not flag = 0. When flag = 0 is Yes, means for adding flag = 1, means for outputting a respiratory-derived body motion pulse, and respiratory-derived body motion pulse Calculate the number of primary breaths from the interval of Apparatus for collecting and transmitting biometric information according to claim 1, characterized in that it consists of a means.   A BPF circuit that passes a heartbeat waveform from biological information, obtains a heartbeat-derived body motion voltage waveform from the body motion voltage waveform output signal, and captures a plurality of data between vertices based on the heartbeat-derived body motion voltage waveform; 2. A means for truncating a maximum value and a minimum value from a plurality of data, a means for obtaining an average value from the remainder, and a means for obtaining an average heartbeat time based on the average value. A device that collects and transmits biometric information.   The heart rate arithmetic circuit takes in a heartbeat-derived body dynamic voltage from the amplification / enlargement circuit, amplifies and expands the time axis, a means for detecting a peak value from the heartbeat-derived body motion voltage waveform, and a heartbeat-derived body motion voltage Means for detecting a bottom value from a waveform; means for calculating a threshold value for excluding a value having a peak value equal to or less than a predetermined value; means for determining whether or not a heartbeat-derived body dynamic voltage is equal to or greater than a threshold value; When the dynamic voltage has not reached the threshold value, means for adding flag = 0 and returning to the original state, and when the heartbeat-derived body dynamic voltage is equal to or higher than the threshold value, it is determined whether flag = 0, and flag = 0 is No If the heartbeat-derived body motion voltage is equal to or higher than the threshold, it is determined whether flag = 0, and if flag = 0 is Yes, the means for adding flag = 1, and the heartbeat-derived body motion pulse Means for outputting, and heartbeat-derived body motion pulses Septum collect biometric information according to claim 1, characterized in that it consists of a means for calculating a primary heartbeat number from and apparatus for transmitting.   In order to determine whether or not the subject has left the bed, the determination circuit for getting out of bed, etc. means for resetting the body motion detection flag = 0, means for determining the body motion detection flag = 1 ≧ threshold, and body motion detection flag = 1 ≧. When the determination of the threshold is No, the body motion voltage ≧ the threshold is determined, and while the body motion voltage ≧ the threshold is No, the means for returning to the original process and the body motion voltage ≧ the threshold is Yes, the body motion detection A means for returning to the original state by setting the flag = 1, a means for determining the body motion voltage = 0 when the body motion detection flag = 1 ≧ the threshold is Yes, and a body motion voltage = 0 are determined as No. The biological information according to claim 1, further comprising: means for resetting the bed leaving timer = 0 and returning to the original; and means for starting the bed leaving timer when the body movement voltage = 0 is Yes. And transmitting device. The maximum value and minimum value of the set time since the file related to respiration rate and heart rate has already been opened are recorded, and the maximum value, minimum value, average value and standard deviation value are recorded and saved in the file every set time , When a memory card that can be updated to a new file for each predetermined case is provided and both the respiratory rate stored in this memory card and both the heart rate threshold and the standard deviation threshold are exceeded, an alarm is displayed. The apparatus for collecting and transmitting biological information according to claim 1, further comprising an alarm circuit for transmission.   2. The apparatus for collecting and transmitting biological information according to claim 1, wherein the mat is formed of an air mat filled with air, and the air mat is provided with a pressure sensor for detecting biological information as pressure fluctuation.   The sensor has innumerable small bubbles formed inside the polypropylene sheet, charges are charged in the polypropylene sheet, the charges are trapped in the bubbles, and is sandwiched between the signal electrode and the ground electrode on the upper and lower surfaces of the sensor element. The apparatus for collecting and transmitting biological information according to claim 1, comprising a sheet-like capacitive pressure sensor.   The sensor is provided with a conductive cloth provided with a flexible dielectric on both surfaces between a pair of flexible conductive cloths, and is in contact with a portion in contact with each other between the pair of conductive cloths and the dielectric. The apparatus for collecting and transmitting biological information according to claim 1, comprising a capacitance type pressure sensor in which a portion that does not contact is provided and a capacitance varies as the size of the portion that does not contact changes.   The sensor is composed of a strain detection sensor that detects a variation in distortion of the laying plate portion that occurs due to the biological activity of the subject by mounting the cable-like strain detection sensor on the elastically bendable laying plate portion. An apparatus for collecting and transmitting biological information according to claim 1.   2. The apparatus for collecting and transmitting biological information according to claim 1, wherein the sensor comprises a piezoelectric sensor in which a flexible cable-shaped or film-shaped piezoelectric sensor is arranged as a pressure-sensitive means on a sheet-like member.   The sensor includes a flexible substrate and an exterior member that covers the flexible substrate, and the flexible substrate includes a flexible acceleration sensor unit in which a functional unit continuously measures a parameter related to predetermined biological information. An apparatus for collecting and transmitting biological information according to Item 1.   The sensor includes a flexible substrate and an exterior member that covers the flexible substrate, and the flexible substrate includes a flexible acceleration sensor unit in which a functional unit continuously measures a parameter related to predetermined biological information. An apparatus for collecting and transmitting biological information according to Item 1.   The sensor is composed of a plurality of detection pieces made of polymer piezoelectric film arranged in parallel on a core made of soft silicon rubber, and sandwiched between two towels in a sandwich shape. 2. The apparatus for collecting and transmitting biological information according to claim 1, wherein the apparatus comprises a polymer piezoelectric film combined.

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