JP2006014765A - Biological information detection device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the influence of other people's biometric information or devices as much as possible, even when multiple people are living close to each other or using a device that generates vibrations, and accurately acquire their own biometric information A biological information detection device that can be extracted is realized.
In a biological information detection apparatus that detects and calculates a biological information of a client,
A first unconstrained sensor that detects biometric information of the client;
At least one second unconstrained sensor for detecting biometric information of at least one other client living in proximity to the client;
Noise correcting means for performing a predetermined calculation on the output of the second unconstrained sensor;
Arithmetic means for subtracting the output of the noise correction means from the output of the first unconstrained sensor;
Is provided.
[Selection] Figure 1

Description

  The present invention relates to a technique for correcting influences from other clients and devices used in a biological information detection apparatus that detects and calculates biological information of a client.

  Prior art documents relating to a system that operates devices used by the client, such as a bed, an air conditioner, and a lighting device based on the life information of the client, particularly sleep stage information, include the following.

JP 2003-339664 A

  The technique disclosed in Patent Document 1 uses the biological information obtained without restriction, and is based on the six stages of sleep, which is an international standard. A method for accurately estimating in real time with a scale and a device using the method, and identifying a stage of sleep with a nominal scale based on the heart rate variability information and body movement information of the living body measured by an unconstrained biological sensor It is characterized by that.

  The outline | summary about the various biometric information of the client detectable with the technique currently disclosed by the sleep stage estimation means 19 of patent document 1 is demonstrated by FIG. Pressure fluctuations of the air mattress 1 where the client 3 goes to bed are detected by the unconstrained sensor 4, and heartbeat, breathing, and snoring are extracted via the filter means 5.

  The body movement information obtained by the image processing means 11 for inputting the biological information and the image signal of the infrared camera 10 is input to the sleep stage estimation calculation unit indicated by the dotted line block 9 and is subjected to signal processing to obtain heart rate information Ib, continuous Sleep stage information Sc, 6-stage sleep information Sa based on a nominal scale, body movement information Im, snoring information Is, and respiratory information Ir are obtained. Since the signal processing algorithm is described in detail in Patent Document 1, the description thereof is omitted here.

  The biometric information obtained from the sleep stage estimation calculation unit 9 is held in the memory holding means 18, and the comprehensive information Si is used to monitor the state of the client, record data, emergency call, device control for maintaining a comfortable environment, etc. Execute. Patent Document 1 discloses examples of various device controls.

  In a conventional biological information detection apparatus, only one client is detected as a biological information detection target. When multiple people are sleeping in close proximity to a double bed or the like, another person's biometric information is superimposed on the detection signal of his / her biometric information, resulting in noise, and only his / her biometric information can be accurately detected. It can be difficult.

  Even when there is only one client, the vibration generated by the device used by the client is superimposed on the detection signal of the own biometric information and becomes noise, and it may be difficult to detect only the own biometric information with high accuracy.

  Therefore, the problem to be solved by the present invention is to minimize the influence of other people's biological information or equipment, even when multiple people are living close to each other or using equipment that generates vibration. An object of the present invention is to realize a living body information detecting apparatus capable of accurately extracting own living body information.

In order to achieve such an object, the configuration of the present invention is as follows.
(1) In a biological information detection apparatus that detects and calculates a biological information of a client,
A first unconstrained sensor that detects biometric information of the client;
At least one second unconstrained sensor for detecting biometric information of at least one other client living in proximity to the client;
Noise correction means for performing a predetermined calculation on the output of the second unconstrained sensor;
Arithmetic means for subtracting the output of the noise correction means from the output of the first unconstrained sensor;
A biological information detection apparatus comprising:

(2) The biological information detection apparatus according to (1), wherein the noise correction unit performs at least one of gain adjustment and phase adjustment on an output of the second unconstrained sensor.

(3) The biological information detection apparatus according to (1) or (2), wherein the unconstrained sensor is installed for each client.

(4) In a biological information detection apparatus that detects and calculates a biological information of a client,
An unconstrained sensor for detecting the biometric information of the client;
A noise sensor for detecting vibrations generated by the device used by the client;
Noise correction means for executing a predetermined calculation on the output of the noise sensor;
Arithmetic means for subtracting the output of the noise correction means from the output of the unconstrained sensor;
A biological information detection apparatus comprising:

(5) The biological information detection apparatus according to (4), wherein the noise correction unit performs at least one of a gain adjustment and a phase adjustment on the output of the noise sensor.

As is apparent from the above description, the present invention has the following effects.
(1) The detection accuracy of the individual biometric information of the client can be increased, and the controllability of the life support device using this information can be improved.
(2) Fine control is possible for each client, not for the entire group.
(3) Noise generated from the device used by the client can be reduced, and only its own biological information can be accurately detected, and the controllability of the life support device using this information can be improved.

  Hereinafter, the present invention will be described in detail with reference to the drawings. FIG. 1 is a functional block diagram showing an embodiment of a biological information detection apparatus to which the present invention is applied. The same elements as those of the conventional apparatus described with reference to FIG. Hereinafter, the characteristic part of the present invention will be described.

  FIG. 1 shows an embodiment in which the present invention is applied to an environment where a plurality of clients live close to each other. For simplicity, the case of two clients is illustrated. Reference numerals 1a and 1b denote air mattresses arranged close to a common bed, which are used by the clients 3a (Mr. A) and 3b (Mr. B).

  If client A's biometric information is mainly detected, the influence of Mr. B's biometric information becomes noise on A's biometric information detection signal. Conversely, if client B's biometric information is mainly detected, the influence of Mr. A's biometric information becomes noise on B's biometric information detection signal.

  4a is an unconstrained sensor connected to the air mattress 1a used by Mr. A, and f (t) is a detection signal thereof. 4b is an unconstrained sensor connected to the air mattress 1b used by Mr. B, and g (t) is a detection signal thereof. Here, if the client A's biological information detection is the main, 4a is the first unconstrained sensor, 4b is the second unconstrained sensor, and the client B's biological information detection is the main. 4b is a first unconstrained sensor, and 4a is a second unconstrained sensor.

  Reference numeral 100a denotes noise correction means for the output f (t) of the unconstrained sensor 4a, and executes a predetermined calculation on the output g (t) of the unconstrained sensor 4b. Reference numeral 100b denotes noise correction means for the output g (t) of the unconstrained sensor 4b, and executes a predetermined calculation on the output f (t) of the unconstrained sensor 4a.

The noise correction unit 100a executes at least one of gain adjustment and phase adjustment for the output g (t) of the unconstrained sensor 4b. In the noise correction unit 100a, if the gain adjustment coefficient is Ab and the phase correction amount is Aβ, the calculation output of the noise correction unit 100a is
Ab · g (t + Aβ).

Similarly, the noise correction unit 100b executes at least one of gain adjustment and phase adjustment for the output f (t) of the unconstrained sensor 4a. In the noise correction unit 100b, if the gain adjustment coefficient is Ba and the phase correction amount is Bα, the calculation output of the noise correction unit 100b is
Ba · f (t + Bα)
It is.

Reference numeral 200a denotes a calculation means for calculating the difference between the output f (t) of the unconstrained sensor 4a and the noise correction means 100a.
f (t) −Ab · g (t + Aβ)
It is. This signal is input to the filter means 5a, and heartbeat, respiration, squealing, and body motion information, which is the biological information of Mr. A, whose influence on the body motion information from the side of Mr. B is corrected, are extracted.

Reference numeral 200b denotes calculation means for calculating the difference between the output g (t) of the unconstrained sensor 4b and the noise correction means 100b.
g (t) −Ba · f (t + Bα)
It is. This signal is input to the filter means 5b, and the heartbeat, breathing, snoring, and body motion information, which are Mr. B's biological information corrected for the influence of the body motion information from the side of Mr. A, are extracted.

  The coefficients Ab and Ba are mainly determined by the distance between the sensors. The phases Aβ and Bα are mainly determined by the phase characteristics of the gain noise correction means 100a and 100b.

  In the dozing prevention device that detects the signs of sleep of drivers, pilots, and plant monitoring operators from the biological information and notifies the system to wake up the operator, vibration generated from the equipment and environment used by the operator If the present invention is applied in the case where noise is generated for information, the influence of noise can be reduced and the detection accuracy of biological information can be increased.

  FIG. 2 is a functional block diagram showing another embodiment of the present invention used in such an environment. Reference numeral 300 denotes a car driver, which detects biometric information (heartbeat and respiration) f (t) by the unconstrained sensor 4 coupled to the seat 400 and inputs it to the computing means 200.

  Reference numeral 500 denotes a chassis to which the seat 400 is attached, which transmits engine and road surface vibrations to the seat 400, which becomes noise with respect to the biological information detection signal from the unconstrained sensor 4. Reference numeral 600 denotes a noise sensor that detects this vibration, and its output g (t) is input to the noise correction means 100.

The noise correction unit 100 executes at least one of gain adjustment and phase adjustment for the output g (t) of the noise sensor 600. In the noise correction unit 100, if the gain adjustment coefficient is Ab and the phase correction amount is Aβ, the calculation output of the noise correction unit 100 is
Ab · g (t + Aβ)
It is.

Reference numeral 200 denotes arithmetic means for calculating the difference between the output f (t) of the unconstrained sensor 4 and the noise correction means 100, and the output is
f (t) −Ab · g (t + Aβ)
It is. This signal is input to the filter means 5, and heartbeat and respiration, which are biological information of the driver 300 whose vibration noise is corrected, are extracted. It is easy to calculate continuous sleep stage information based on heartbeat and breathing information, and it is possible to accurately detect a dozing state that is a precursor to sleep.

  If the present invention is used, a plurality of sensors are installed in one apparatus, device, and system (eg, double bed, electric carpet) that are used by a plurality of people at the same time, and the biometric information of the plurality of people is detected. Instead, it is possible to control the daily equipment with high accuracy in response to each individual.

  Control operations include electric blanket / electric carpet temperature control, sleep apnea prevention pillow deformation operation control, illumination illuminance control, audio video equipment volume control, and the like.

  In the embodiment shown in FIG. 1, the case where a plurality of clients are two has been described for simplicity, but the number of clients is arbitrary. In the case of n persons, there are n noise correcting means and n calculating means, respectively. Each computing means inputs signals from (n-1) noise correcting means for computing biometric information of clients other than itself, and executes subtraction computation with its own biometric information detection signal.

It is a functional block diagram which shows one Embodiment of the biometric information detection apparatus to which this invention is applied. It is a functional block diagram which shows other embodiment of this invention used for the environment which receives a vibration. It is a functional block diagram of the sleep stage estimation means currently disclosed by patent document 1. FIG.

Explanation of symbols

1a, 1b Air mattress 3a, 3b Client 4a, 4b Unconstrained sensor 5a, 5b Filter means 100a, 100b Noise correction means 200a, 200b Calculation means

Claims (5)

In the biological information detection apparatus that detects and calculates the biological information of the client,
A first unconstrained sensor that detects biometric information of the client;
At least one second unconstrained sensor for detecting biometric information of at least one other client living in proximity to the client;
Noise correction means for performing a predetermined calculation on the output of the second unconstrained sensor;
Arithmetic means for subtracting the output of the noise correction means from the output of the first unconstrained sensor;
A biological information detection device comprising:   The biological information detection apparatus according to claim 1, wherein the noise correction unit performs at least one of gain adjustment and phase adjustment on an output of the second unconstrained sensor.   The biological information detecting apparatus according to claim 1, wherein the unconstrained sensor is installed for each client. In the biological information detection apparatus that detects and calculates the biological information of the client,
An unconstrained sensor for detecting the biometric information of the client;
A noise sensor for detecting vibrations generated by the device used by the client;
Noise correction means for executing a predetermined calculation on the output of the noise sensor;
Arithmetic means for subtracting the output of the noise correction means from the output of the unconstrained sensor;
A biological information detection apparatus comprising: The biological information detection apparatus according to claim 4, wherein the noise correction unit performs at least one of a gain adjustment and a phase adjustment on an output of the noise sensor.

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