WO2023276525A1

WO2023276525A1 - Biological information acquisition device and biological state warning system using same

Info

Publication number: WO2023276525A1
Application number: PCT/JP2022/022053
Authority: WO
Inventors: 浩士中村
Original assignee: 浩士中村
Priority date: 2021-06-29
Filing date: 2022-05-31
Publication date: 2023-01-05
Also published as: JPWO2023276525A1

Abstract

The present invention inexpensively provides a biological information acquisition device that can accurately measure biological signals without interfering with daily life. A biological information acquisition device 1 acquires biological information about a subject H1 and comprises a pair of measurement pad parts 3 that can measure biological signals and a body frame 2 that presses the measurement pad parts 3 toward each other onto the backs of the base of the ears E1 of the subject H1 with equal urging force. A biological signal processing unit 4 is connected to the measurement pad parts 3. The biological signal processing unit 4 performs computation processing on the biological signals measured by the measurement pad parts 3 and extracts biological information.

Description

BIOLOGICAL INFORMATION ACQUISITION DEVICE AND BIOLOGICAL STATE WARNING SYSTEM USING IT

The present invention is a biological information acquisition device for acquiring biological information of a subject, and in particular, calculates a stress index by accurately simultaneously acquiring a plurality of pieces of biological information such as the heart rate and respiration rate of the subject. The present invention also relates to a biological information acquisition device for monitoring the physical and mental conditions of a person to be measured, and a biological condition warning system using the same.

　Conventionally, there has been known a biometric information acquisition device that measures biometric information and monitors the physical and mental condition of a subject. For example, in the biological information acquiring apparatus disclosed in Patent Document 1, a measurement tool having a built-in bone-flesh-conducted sound sensor (microphone) is inserted into the external auditory canal of a person to be measured, and a bone-flesh-conducted sound, which is a biological signal, is transmitted through the bone-flesh-conducted sound. Acquired by a sound sensor. The bone-flesh-conducted sounds include vascular sounds caused by the beating of the heart of the person being measured and breath sounds caused by the respiratory movement of the lungs, respectively. The physical and mental condition of the subject can be confirmed.

By the way, the biological information acquisition device of Patent Document 1 requires that the measurement tools be inserted into the left and right ear canals of the subject. Therefore, when acquiring biological information over a long period of time, the measurement tool inserted into the external auditory canal makes it difficult for the subject to hear external sounds, which may interfere with daily life.

In order to avoid this, the measurement tool of Patent Document 1 has a tool body having a cavity formed therein to facilitate the transmission of external sound. are attached respectively. By outputting the external sound collected by the external air-conducting sound microphone from the external air-conducting sound speaker, the external sound is transmitted to the subject even when the measurement tool is inserted into the external auditory canal. .

Japanese Patent Application Laid-Open No. 2020-121120

However, in Patent Document 1, the number of parts increases and the structure becomes complicated by incorporating an external air-conducting microphone or the like into the measurement tool, so there is a problem that the cost increases.

In addition, since the measurement tool of Patent Document 1 is only inserted into the ear canal during measurement, it is difficult to fix the measurement position of the measurement tool, and the relative positional relationship between the measurement tool and the ear canal tends to vary. Therefore, there is a problem that the signal strength of the biological signal measured in the ear canal tends to change, making it difficult to obtain accurate measurement data.

Furthermore, in Patent Document 1, since the measurement tool must be inserted into the ear canal during measurement, the act of measurement itself becomes stressful for the person being measured. There is also the risk that accurate measurement data for breath sounds will not be obtained.

SUMMARY OF THE INVENTION The present invention has been made in view of the above points, and an object thereof is to provide a biological information acquiring apparatus capable of accurately measuring a biological signal without interfering with daily life at a low cost. .

In order to achieve the above object, the present invention is characterized by measuring biosignals while applying the same urging force in left and right winds.

Specifically, we targeted a biometric information acquisition device that acquires the biometric information of a subject, and took the following solutions.

That is, in the first invention, a pair of measuring pad portions capable of measuring a biosignal and applying the same urging force in a direction of approaching each other in a state in which each of the measuring pad portions is applied to each of the shadows of the person to be measured. and a biomedical signal processing unit connected to each of the measurement pads to perform arithmetic processing on the biomedical signal measured by each of the measurement pads to extract the biometric information. .

According to a second invention, in the first invention, the measurement pad section includes a body-conducted sound sensor capable of measuring a body-conducted sound signal, and the biological signal processing section includes a body-conducted sound sensor capable of measuring a body-conducted sound signal. A low-pass filter unit that passes only signals lower than a predetermined frequency of the sound signal and extracts them as heart rate fluctuations (heartbeat fluctuations), and a low-pass filter unit that passes only signals higher than the predetermined frequency and extracts breathing rate fluctuations and a high-pass filter section for extracting fluctuations.

In a third invention according to the second invention, the biological signal processing unit sets the heart rate variation extracted by the low-pass filter unit to σHR, and the respiration rate extracted by the high-pass filter unit Assuming that the fluctuation is σRR, the stress index SI is calculated as SI=σRR/σHR every time a preset time T elapses, and the stress index SI and the subjective evaluation items preliminarily input by the person to be measured every time T are calculated. and the evaluation values W are arranged in order as rows, and a stress index matrix M with the time axis as the columns is output.

In a fourth aspect of the invention, in the third aspect, the measurement pad section includes a temperature sensor capable of measuring the surface temperature (body temperature) of the subject, and the biological signal processing section includes, in the stress index matrix M, 3. The surface temperature (body temperature) measured by the temperature sensor every time T elapses is arranged in rows and the time axis is output in columns.

In addition, the present invention also targets a biological condition warning system that displays stress conditions to a plurality of subjects, and has taken the following means of solution.

That is, in the fifth invention, the plurality of biological information acquisition devices according to the third invention respectively worn by a plurality of subjects, and the estimated stress of each subject based on the stress index matrix M an artificial intelligence or an external database that outputs the state, and each of the stress index matrices M that are connected to the biological information acquisition device and the artificial intelligence or the external database via a communication network and received from the biological information acquisition device; Determining the stress state of each subject based on the estimated stress state input by the artificial intelligence or the external database, generating biological state information according to the determination result, and the communication network and a management server that transmits each of the biological state information to the corresponding biological information acquisition device via the.

In a sixth aspect according to the fifth aspect, the biological information warning system further comprises personal identification means capable of confirming whether or not the person to be measured is the person himself/herself, It is characterized by transmitting the biological state information to the corresponding biological information acquisition device when it is confirmed that there is one.

A seventh invention is characterized in that, in the sixth invention, the personal identification means is a face authentication system using an image taken by a camera.

In the first invention, since the biosignal is measured by applying each measuring pad portion to each wave of the person to be measured, there is no need to insert the measuring tool into the external auditory canal as in Patent Document 1, and the ear is not required to be inserted. no need to cover. Therefore, the person to be measured does not have difficulty in hearing the sound during the measurement of the biological signal, and not only does the measurement not interfere with daily life even if the measurement is performed over a long period of time, but the act of measurement itself is not difficult for the person to be measured. It is possible to obtain biological signals that are not stressed and are less affected by disturbances. In addition, since it is not necessary to incorporate an external air-conducting sound speaker or an external air-conducting sound microphone into the measuring part, or to provide a hollow part in the measuring part, the number of parts can be reduced, the structure can be simplified, and the device can be provided at a low cost. can do. Furthermore, the urging force application section applies the same urging force to each measuring pad in the direction in which each measuring pad approaches each other, so that the measurement positions of each measuring pad are fixed with a constant pressure and are unlikely to shift. become a state. Therefore, the measurement signal strength of the obtained biosignal becomes constant, and the measurement accuracy can be improved.

In the second invention, since the heart rate fluctuation and breathing rate fluctuation of the person to be measured are obtained in time series, the condition of the person to be measured can be evaluated using the obtained heart rate data and breathing rate data. It can be carried out.

In the third invention, the stress is displayed quantitatively, and by confirming the stress index matrix M, the subject's stress state and the subject's subjective evaluation can be collectively confirmed in chronological order. be possible. Therefore, the subject's stress state can be easily evaluated, and the time-series state of the subject can be comprehensively evaluated.

In the fourth invention, the surface temperature of the person to be measured is measured at the same time as measuring the heart rate and respiratory rate data of the person to be measured. Therefore, by examining the correlation between the heart rate and respiration rate data of the person being measured and the surface temperature, abnormal measurement data can be eliminated, and measurement accuracy can be improved. In addition, since the surface temperature data of the person to be measured can be output in chronological order to the matrix elements of the stress index matrix M that quantitatively displays stress and pain, stress evaluation can be performed in more dimensions. , the stress state of the subject can be accurately determined.

In the fifth invention, the stress index matrix M of a plurality of subjects can be transmitted to the management server via a communication network. It is possible to determine the stress state of each person to be measured at the same time every time T elapses. In addition, since the management server is connected to an artificial intelligence or an external database that outputs the estimated stress state of each subject based on the stress index matrix M of each subject, the stress state based on the estimated output can be evaluated. Biological condition information is generated according to the determination result. Then, the management server can transmit each piece of biological state information to the corresponding biological information acquisition device via the communication network. Therefore, each subject wearing the biological information acquisition device can receive appropriate biological state information at optimum timing via the communication network.

In the sixth invention, the management server transmits the biological state information to each corresponding biological information acquisition device only when the person to be measured is confirmed to be the person himself/herself by the personal identification means. Therefore, the biological condition information will not be mistakenly sent to a biometric information acquisition device other than the subject, and the personal information of the subject will not be leaked to a third party other than the subject. and privacy can be protected.

In the seventh invention, by using a face authentication system using images taken by a camera as identity confirmation means, it is possible to reliably and inexpensively confirm the identity of a plurality of persons to be measured with a relatively simple configuration. can.

It is a figure which shows the use condition of the biometric information acquisition apparatus which concerns on Embodiment 1 of this invention. 1 is a perspective view of a measuring device in the biological information acquisition device according to Embodiment 1 of the present invention; FIG. 1 is a block diagram of a biological information acquisition device according to Embodiment 1 of the present invention; FIG. 4 is a diagram showing a stress index matrix calculated by the biological information acquisition device according to Embodiment 1 of the present invention; FIG. It is a figure which shows the operation|movement flow of the biometric information acquisition apparatus which concerns on Embodiment 1 of this invention. FIG. 5 is a diagram showing a stress warning system according to Embodiment 2 of the present invention; FIG. 7 is a conceptual diagram of artificial intelligence in the stress warning system according to Embodiment 2 of the present invention; FIG. 10 is a diagram showing an example in which the biological information acquisition device according to Embodiment 3 of the present invention is applied to a COVID-19 detection system; FIG. 10 is a diagram showing an example of evaluation results obtained by a COVID-19 detection system to which the biological information acquisition device according to Embodiment 3 of the present invention is applied; FIG. 10 is a diagram showing a stress index matrix in a COVID-19 detection system to which the biological information acquisition device according to Embodiment 3 of the present invention is applied; 1 equivalent view according to Embodiment 4 of the present invention. FIG. FIG. 10 is a diagram showing an online medical care system according to Embodiment 5 of the present invention; It is a figure which shows the death time prediction system which concerns on Embodiment 6 of this invention. FIG. 11 is a conceptual diagram of artificial intelligence in the death time prediction system according to Embodiment 6 of the present invention. It is a figure explaining the death time prediction system which concerns on Embodiment 6 of this invention. It is a figure which shows the disaster occurrence reporting system which concerns on Embodiment 7 of this invention.

Hereinafter, embodiments of the present invention will be described in detail based on the drawings. It should be noted that the following description of preferred embodiments is merely exemplary in nature.

<<Embodiment 1 of the invention>>
1 to 3 show a biological information acquisition device 1 according to Embodiment 1 of the present invention. The biometric information acquiring apparatus 1 calculates a stress index for monitoring the physical and mental condition of the subject H1 based on a plurality of biosignals acquired from each of the lingering winds E1 of the subject H1. and an information processing terminal 10B wirelessly connected to the measuring instrument 10A.

The measuring device 10A includes a flexible body frame 2 (biasing force applying portion) having a substantially horseshoe shape. The body frame 2 is formed by coating a metal spring with resin or by a resin spring or the like. It is gaining power.

A gravity sensor 2 a capable of detecting the direction of gravity is embedded in the middle of the body frame 2 , and the gravity sensor 2 a detects the tilt angle of the body frame 2 .

A pair of measurement pad portions 3 capable of measuring a subject's biosignals are embedded in the portions of the body frame 2 that face each other at one end and the other end.

The measurement pad section 3 is provided with a temperature sensor 3b which is a thermistor that abuts against each of the winds E1 of the subject H1 during measurement, and the temperature sensor 3b is substantially disk-shaped and lid-shaped.

A measurement opening 3d communicating with the inside is formed on the surface of each temperature sensor 3b facing each other.

Inside the temperature sensor 3b, a body-conducting sound sensor 3a having an electret condenser microphone (ECM) and a radio transmitter/receiver 3c connected to the body-conducting sound sensor 3a, the temperature sensor 3b, and the gravity sensor 2a are accommodated. there is That is, the temperature sensor 3b covers the body-conducted sound sensor 3a, the body-conducted sound sensor 3a, the temperature sensor 3b, and the gravity sensor 2a.

The radio transmitter/receiver 3c is adapted to transmit and receive signals wirelessly to and from the biological signal processor 4. For example, the body-conducting sound sensor 3a, the temperature sensor 3b, and the gravity sensor 2a are connected to the measurement opening 3d. Each sensor signal measured via is transmitted to the information processing terminal 10B.

Then, as shown in FIG. 1, the measuring instrument 10A is equipped with a main body frame 2 so as to surround the occipital region of the subject H1 from the occipital side, and each measuring pad portion 3 is applied to each of the winds E1. The frame 2 applies the same urging force to each measurement pad section 3 toward each of the slight breezes E1 of the person H1 to be measured. In addition, the body frame 2 may be attached so as to surround the lower jaw from the forehead side of the person H1 to be measured, and each measurement pad portion 3 may be applied to each of the winds E1.

As shown in FIG. 3, the information processing terminal 10B is connected to a biosignal processing unit 4 that performs arithmetic processing on each biosignal acquired by the measurement pad unit 3, and the biosignal processing unit 4. An input unit 8 capable of inputting and operating necessary information, an output unit 9 connected to the biological signal processing unit 4 and capable of displaying evaluation results and the like on a display, and communication between the biological signal processing unit 4 and an external server. and a communication interface unit 11 for performing.

The input unit 8 is designed so that the person H1 to be measured inputs an evaluation value W of subjective evaluation items such as stress and pain. Subjective evaluation items include, for example, a visual analog scale (VAS), a numerical rating scale (NRS), and a 10-step evaluation of mood.

The biological signal processing unit 4 includes a wireless transmission/reception unit 5 that transmits and receives signals to and from the wireless transmission/reception unit 3c of the measurement pad unit 3, and a body-conducted sound signal processing unit that processes the body-conducted sound signal acquired by the body-conducted sound sensor 3a. and a stress index matrix calculator 7 for outputting a stress index matrix M capable of grasping the stress state of the subject.

The wireless transmission/reception section 5 is wirelessly connected to the wireless transmission/reception section 3c of the measurement pad section 3, and receives, for example, sensor signals transmitted by the wireless transmission/reception section 3c.

When the inclination angle of the measurement pad 3 detected by the gravity sensor 2a is within a predetermined threshold value, the biological signal processing unit 4 determines that the measurement device 10A is attached to the subject H1 in the correct posture, and performs each measurement. A measurement start signal is output to the pad section 3 to measure body-conducted sound signals and body temperature signals.

The body-guided sound signal processing unit 6 includes an acoustic heart rate measurement unit 61 and an acoustic breathing rate measurement unit 62 connected to the wireless transmission/reception unit 5 and the stress index matrix calculation unit 7, respectively.

The acoustic heart rate measurement unit 61 includes a low-pass filter unit 61a that passes only low-frequency components in the waveform output from the radio transmission/reception unit 5, and the output waveform obtained by the low-pass filter unit 61a. An acoustic heart rate calculator 61b for extracting the heart rate and its variation is provided, and the acoustic heart rate calculator 61b outputs the extracted heart rate and its variation as an output σHR to the stress index matrix calculator 7. ing.

The acoustic respiration rate measurement unit 62 includes a high-pass filter unit 62a that passes only high-frequency components in the waveform output from the radio transmission/reception unit 5, and the output waveform obtained by the high-pass filter unit 62a. An acoustic respiration rate calculator 62b for extracting the respiration rate and its variation is provided, and the acoustic respiration rate calculator 62b outputs the extracted respiration rate and its variation as an output σRR to the stress index matrix calculator 7. ing.

When the stress index matrix calculator 7 receives the output σHR from the acoustic heart rate calculator 61b and the output σRR from the acoustic respiratory rate calculator 62b, it calculates the stress index SI as SI=σRR/σHR. .

The stress index matrix calculation unit 7 outputs a stress index matrix M to the output unit 9 from the calculated stress index SI and the subjective evaluation value W input from the input unit 8. The stress index matrix The output unit 9 that receives M displays the stress index matrix M on the display.

Furthermore, the stress index matrix calculation unit 7 outputs the stress index matrix M to an external server via the communication interface unit 11.

As shown in FIG. 4, the stress index matrix M is composed of objective evaluation items including the stress index SI for the subject's stress, pain, etc., for each elapse of time T, and subjective evaluation input by the subject himself/herself every time T. The evaluation values W of the items are arranged in order as rows in a vertical vector, and the vertical vectors are arranged in columns in the horizontal direction of the time axis. The objective evaluation item is not limited to the stress index SI, and may include, for example, the subject's blood pressure, body temperature, and the like. By increasing the number of evaluation items, multidimensional evaluation of stress and pain becomes possible, and more precise evaluation can be performed. For example, the stress index matrix M in FIG. Vertical vectors in which evaluation values W of items are arranged in rows are arranged in columns in the horizontal direction in the order of times t, t1, t2, .

Next, the operation of the biological information acquisition device 1 according to Embodiment 1 of the present invention will be described in detail using FIG.

First, the person H1 to be measured wears the measuring device 10A so that the measurement pads 3 are exposed to the left and right winds E1, and activates the biological information acquisition device 1. Then, the inclination angle of the measurement device 10A with respect to the subject H1 is detected by the gravity sensor 2a (S1). For example, when each measurement pad section 3 is correctly attached to the left and right winds E1 of the person H1 to be measured, the gravity sensor 2a detects vertically downward gravity in the negative direction of the Z axis of the gravity sensor 2a. When the subject H1 wears the measuring device 10A so that the left and right winds E1 are reversed, the body frame 2 is turned upside down, so the gravity sensor 2a detects the direction of gravity in the positive direction of the Z axis. do. In this manner, the left and right mounting states of the respective measurement pad portions 3 can be known from the value of the gravity sensor detected by the gravity sensor 2a.

When the gravity sensor value obtained by the gravity sensor 2a is within a predetermined threshold value (for example, Z<0), the biological signal processing unit 4 determines that each measurement pad unit 3 is normally attached to the subject H1, A measurement start signal is output to the body-conducted sound sensor 3a and the temperature sensor 3b. Then, the body-conducted sound sensor 3a and the temperature sensor 3b acquire waveforms of body sounds and body temperature of the subject H1. On the other hand, when the biological signal processing unit 4 determines that each measurement pad unit 3 is not properly attached to the subject H1, the biological signal processing unit 4 outputs a measurement start signal to the body conduction sound sensor 3a and the temperature sensor 3b. Therefore, waveform acquisition by the body-conducted sound sensor 3a and the temperature sensor 3b is not executed (S2). In this way, only body sound and body temperature waveform data obtained while the measuring device 10A is normally attached to the subject H1 is transmitted to the body signal processing section 4 by the wireless transmitting/receiving section 3c.

The acquired body sound waveform data is input to the body conduction sound signal processing section 6 via the wireless transmission/reception section 5 . A low-pass filter unit 61a in the acoustic heart rate measurement unit 61 extracts low-frequency pass signals (signals close to heart sounds) from the acquired body sounds, while a high-pass filter unit 62a in the acoustic respiration rate measurement unit 62 extracts low-frequency pass signals (signals close to heart sounds). A high-frequency passing signal (a signal close to breathing sounds) is extracted by . That is, the body sound waveform data is separated into heart rate and respiration rate waveform data (S3). After that, in the acoustic heart rate calculator 61b, envelope detection and waveform peak acquisition are performed from the low-frequency passing signal, and the acoustic heart rate and its variation σHR are calculated from the cycle thereof. The acoustic respiration rate calculator 62b calculates the acoustic respiration rate and its variation σRR from the high-frequency passing signal by envelope detection and respiration start point detection (S4).

Next, subject H1 operated the touch panel of the input unit 8 to use a visual analog scale (VAS), a numerical rating scale (NRS), and a graded evaluation of mood as subjective evaluation items for stress and pain of subject H1. An evaluation value W is input every preset time T (S5).

After that, in the stress index matrix calculator 7, the stress index SI is calculated with respect to the acoustic heart rate fluctuation (heartbeat fluctuation) σHR and the acoustic breathing rate fluctuation (breathing fluctuation) σRR calculated each time T elapses. It is calculated by SI=σRR/σHR. In addition, the stress index SI, the evaluation value W input by the input unit 8, and the body temperature of the person to be measured by the temperature sensor 3b are arranged in order as rows in a vertical vector, and the vertical vector is arranged in the horizontal direction of the time axis. A stress index matrix M arranged in columns is calculated (S6).

Then, the calculated stress index matrix M is displayed on the display by the output unit 9 (S7).

After that, if the acquisition of biometric information is to be completed, the biometric information acquisition device 1 is terminated. On the other hand, if the acquisition of biometric information is not to be completed, the process returns to S1 and repeats the above operation (S8).

As described above, according to Embodiment 1 of the present invention, each measurement pad section 3 is applied to each of the winds E1 of the subject H1 to measure biosignals, so there is no need to cover the ears. Therefore, subject H1 does not have difficulty in hearing sounds during biosignal measurement. It is possible to obtain biomedical signals that are not stressed to H1 and are less affected by disturbances. In addition, since it is not necessary to incorporate an external air-conducting sound speaker or an external air-conducting sound microphone into the measuring part, or to provide a hollow part in the measuring part, the number of parts can be reduced, the structure can be simplified, and the device can be provided at a low cost. can do. Furthermore, since the body frame 2 causes each of the measurement pads 3 to apply the same biasing force to each of the shadows E1 of the subject H1 in the direction in which they approach each other, the measurement positions of each of the measurement pads 3 are kept at a constant pressure. It becomes fixed and difficult to shift. Therefore, the measurement signal strength of the obtained biosignal becomes constant, and the measurement accuracy can be improved.

In addition, since the body frame 2 is provided with the gravity sensor 2a, the inclination angle of each measurement pad portion 3 worn by the person H1 to be measured can be known. Therefore, it can be known whether or not the measurement pad section 3 is correctly measuring the left and right winds E1 of the person H1 to be measured, and erroneous measurement of the biosignal can be prevented. In addition, since the posture of the subject H1 wearing the measurement pad section 3 can be known, the measurement data when the subject H1 is in an abnormal posture can be removed, and the measurement accuracy can be improved. .

In addition, since the measurement pad section 3 includes the body-conducted sound sensor 3a, fluctuations in the heart rate and breathing rate of the person H1 to be measured can be obtained in chronological order. Therefore, the condition of subject H1 can be evaluated using the obtained heart rate data and respiratory rate data.

In addition, since the biomedical signal processing unit 4 calculates the stress index matrix M, the stress is displayed quantitatively, and by confirming the stress index matrix M, the stress state of the subject H1 and the subject H1 are displayed. It becomes possible to check the subjective evaluation of Therefore, the stress state of subject H1 can be easily evaluated, and the chronological state of subject H1 can be comprehensively evaluated.

In addition, the biological signal processing unit 4 can easily input subjective evaluation items that are part of the stress index matrix M from the visual analog scale (VAS), the numerical rating scale (NRS), and the graded evaluation of mood by the input unit 8. Since it is possible, it is possible to easily grasp the stress and pain of the subject H1.

In addition, since the measurement pad section 3 includes the temperature sensor 3b, it is possible to measure the body temperature of the subject H1 at the same time as measuring the heart rate and respiratory rate data of the subject H1. Therefore, by examining the correlation between the heart rate and respiration rate data of the subject H1 and the body temperature, abnormal measurement data can be eliminated, and measurement accuracy can be improved. In addition, since the body temperature data of the subject H1 can be output in chronological order to the matrix elements of the stress index matrix M that quantitatively displays stress and pain, stress evaluation can be performed in a multidimensional manner. It is possible to accurately determine the stress state of the subject H1.

In addition, since the temperature sensor 3b is a thermistor located in a region that abuts on each of the winds E1 of the person to be measured at the time of measurement, the sensitivity of the signal obtained from each of the winds E1 of the person to be measured H1 is improved. It becomes possible to know the stress condition of the measurer H1 in more detail.

Also, since the temperature sensor 3b is lid-shaped, the temperature sensor 3b covers the body-conducted sound sensor 3a. Therefore, there is no need to install an additional cover component to protect the body-conducted sound sensor 3a, and the component cost can be kept low.

<<Invention Embodiment 2>>
FIG. 6 shows a stress warning system 100 (biological state warning system) according to Embodiment 2 of the present invention using the biological information acquisition device 1 . Parts similar to those of the first embodiment are denoted by the same reference numerals, and only different parts will be described.

The stress warning system 100 can simultaneously determine the stress states of a plurality of subjects A, B, and C who live far away from each other. 14 and a stress management server 15. The stress management server 15 is connected to the repeater 12, the artificial intelligence 13, and the external database 14, respectively. and are connected respectively.

The biological information acquisition device 1 of Embodiment 2 is attached to subjects A to C, respectively. For the sake of convenience, the biometric information acquiring devices 1 attached to subjects A to C are hereinafter referred to as biometric

information acquiring devices

1A, 1B, and 1C.

The artificial intelligence 13 and the external database 14 learn based on the time-series data or compare with past similar data for the input of each stress index matrix M of the subjects A to C obtained by the biological information acquisition device 1. to output the latest estimated stress states of subjects A to C.

The artificial intelligence 13 and the external database 14 may be neural networks. For example, in the neural network of FIG. 7, objective data such as heart rate variability σHR, respiratory variability σRR, body temperature, blood pressure, social distance, medication dosage, administration method, etc. of the subject, cough, It has an input layer for inputting subjective data such as taste disorders, a hidden layer consisting of two layers, and an output layer for outputting the necessity of PCR testing for COVID-19 infection.

The stress management server 15 calculates the stress state of each subject A to C based on each stress index matrix M obtained by the biological information acquisition device 1 and the estimated stress state output by the artificial intelligence 13 or the external database 14. It is designed to judge.

The stress management server 15 also generates stress warning information (biological state information) according to the determination results of each of the subjects A to C, and transmits the generated stress warning information to the repeater 12. It's like

The repeater 12 is a hub device that transmits and receives data between the biological

information acquisition apparatuses

1A, 1B, and 1C and the stress management server 15, and converts each stress index matrix M received from the biological information acquisition apparatuses 1A to 1C into stress. While transmitting to the management server 15, stress warning information received from the stress management server 15 is transmitted to the biological information acquisition apparatuses 1A to 1C.

The repeater 12 may be a communication router or switch.

Next, the operation of the stress warning system 100 according to Embodiment 2 of the present invention will be described. The biological

information acquisition devices

1A, 1B, and 1C attached to the plurality of subjects A, B, and C, respectively, output the stress index matrix M each time T elapses, as described above. The repeater 12 receives the stress index matrix M of the subjects A, B, and C via the communication interface section 11 of each biological

information acquisition device

1A, 1B, and 1C, and transmits it to the stress management server 15 . The stress management server 15 inputs each received stress index matrix M to the artificial intelligence 13 or the external database 14 . Then, the artificial intelligence 13 or the external database 14 calculates the estimated stress state of each subject A, B, and C based on each stress index matrix M and outputs it to the stress management server 15 . The stress management server 15 determines the stress state of each subject A, B, and C based on the estimated stress state and the stress index matrix M. FIG. Then, the stress management server 15 generates stress warning information according to the determination results of each of the subjects A to C, and then transmits the stress warning information to the repeater 12 . The repeater 12 transmits each piece of stress warning information received from the stress management server 15 to the biological

information acquisition devices

1A, 1B, and 1C of the subjects A, B, and C, respectively.

As described above, according to the second embodiment of the present invention, the stress index matrix M of a plurality of subjects A, B, and C can be transmitted to the stress management server 15 via the repeater 12. Therefore, the stress management server 15 can determine the stress state of each subject A, B, and C every time T elapses. In addition, the stress management server 15 is connected to an artificial intelligence 13 or an external database 14 that outputs the estimated stress state of each subject A, B, and C based on the stress index matrix M of each subject A, B, and C. Therefore, it is possible to generate stress warning information according to the stress condition determination result based on the estimated output and transmit it to the repeater 12 . Therefore, each subject A, B, and C wearing the biological information acquisition device 1 can receive appropriate stress warning information at optimum timing via the repeater 12 .

<<Embodiment 3 of the invention>>
FIG. 8 shows part of a COVID-19 detection system 200 (biological state warning system) including the biological information acquisition device 1 according to Embodiment 3 of the present invention. Parts similar to those of the first embodiment are denoted by the same reference numerals, and only different parts will be described.

The COVID-19 detection system 200 includes a biological information acquisition device 1 and a temperature sensor TS that can be attached to the forehead of the subject H1. The temperature sensor TS measures the body temperature at the forehead of the subject H1.

FIG. 9 shows the left and right wave surface temperatures (body temperature) of the subject H1 acquired by the biological information acquisition device 1, the acquired difference between the left and right wave surface temperatures of the subject H1, and the measured subject H1 detected by the temperature sensor TS. The forehead surface temperature (body temperature) and the subjective evaluation of pharynx discomfort were obtained when subject H1 was a patient suffering from COVID-19 and a healthy subject. For any of the subjects H1, the surface temperature of the left and right shadows and the surface temperature of the forehead are close values, so it can be judged that each measurement result is appropriate.

COVID-19 patients with a large lateral difference in the surface temperature of the left and right wind (moderate I and mild severity) report discomfort in the pharynx. Small COVID-19 patients and healthy individuals were found to report feeling comfortable in the pharynx. In other words, there is a correlation between the lateral difference in the surface temperature of the shadow of H1 and the discomfort of the pharynx due to COVID-19. It was confirmed to be effective in detecting 19 morbidity.

FIG. 10 is a stress index matrix used for the COVID-19 detection system 200. As components of the vertical vector of the stress index matrix, it is possible to input the left and right wind surface temperatures of the person H1 to be measured. This makes it possible to evaluate the stress caused by COVID-19 and the discomfort in the pharynx, and to detect whether or not the subject H1 is suffering from COVID-19 without contact.

In addition, when personal information and privacy protection of the subject H1 is required, personal identification (authentication) of the subject H1 is performed in the connection between the biometric

information acquisition devices

1A, 1B, and 1C and the stress management server 15. can be The stress management server 15 confirms whether or not the person to be measured H1 is the person himself/herself. It is also possible to detect whether or not subject H1 is infected with COVID-19, and to transmit the determination result as to whether a PCR test is necessary or not to the corresponding biological information acquisition device.

In the third embodiment, the temperature sensor TS is used to measure the forehead of the subject H1. Optional.

<<Embodiment 4 of the invention>>
FIG. 11 shows a biological information acquisition device 1 according to Embodiment 4 of the present invention. This biological information acquisition device 1 is the same as that of the first embodiment except that the output unit 9 is provided on the body frame 2. Only different parts will be explained.

The output unit 9 according to the fourth embodiment includes a red light emitting unit Lr, a yellow light emitting unit Ly, and a green light emitting unit Lg provided on the surface of the body frame 2 opposite to the side facing the subject H1. there is

Based on the result of comparing the stress index SI calculated by the stress index matrix calculator 7 with a preset threshold value, the biological signal processing unit 4 according to the fourth embodiment determines the red light emitting unit Lr, the yellow light emitting unit Ly, and the green light emitting unit Ly. It is configured to cause any one of the light emitting portions Lg to emit light. For example, when the stress index SI of the subject H1 exceeds +20% of the predetermined threshold, the red light emitting unit Lr emits light, while the stress index SI of the subject H1 is -20% of the predetermined threshold. The green light emitting portion Lg emits light when the value is less than . In addition, when the stress index SI of the person H1 to be measured is located in the range of -20% to 20% of the predetermined threshold value, the yellow light emitting part Ly emits light, and the magnitude of the stress index SI is It can be confirmed by the difference in the color of light emitted. Therefore, the stress indices SI of many persons H1 to be measured can be accurately and simultaneously efficiently determined from a distant position.

Note that the output unit 9 of the fourth embodiment causes any one of the red light emitting unit Lr, the yellow light emitting unit Ly, and the green light emitting unit Lg to emit light, thereby confirming the stress index SI of the subject H1 from a distant position. However, the present invention is not limited to this, and the stress index SI of the subject H1 may be confirmed from a distant position by generating a warning sound or voice.

In addition, although the output unit 9 of Embodiment 4 is provided in a part of the body frame 2, it is not limited to this, and is provided over the entire surface of the body frame 2 so that the entire body frame 2 emits light. can be

<<Embodiment 5 of the invention>>
FIG. 12 shows an online medical care system 300 (biological condition warning system) according to Embodiment 5 of the present invention. The online medical care system 300 uses camera-equipped communication terminals SA, SB, SC including smartphones, tablets, etc. owned by each patient (person to be measured) and a communication network 32 instead of the repeater 12 to perform online medical care. A server 15 and the biometric

information acquisition devices

1A, 1B, and 1C of patients A, B, and C are connected. In addition, the online medical care system 300 is capable of personal identification (authentication) by the cameras of the camera-equipped communication terminals SA, SB, SC, and SD owned by each patient A, B, C, and doctor I. It differs from the second embodiment. Other than that, it is the same as the second embodiment, so the same reference numerals are given to the same parts as the second embodiment, and only the different parts will be described.

The communication interface unit 11 of the biological information acquisition device 1 according to the fifth embodiment of the present invention includes a wireless communication circuit including Bluetooth (registered trademark), NFC (Near Field Communication) circuit, etc., and a camera having the same circuit. It is configured to be connectable to a communication terminal. That is, the biological

information acquisition devices

1A, 1B, 1C of the patients A, B, C are uniquely connected to the camera-equipped communication terminals SA, SB, SC of the patients A, B, C via wireless communication. there is Communication terminals SA, SB, and SC with cameras of patients A, B, and C are connected to the Internet via a communication network 32, while the online medical care server 15 is connected to the communication network 32 via the Internet. , the stress index matrix M can be acquired from the biometric

information acquisition devices

1A, 1B, and 1C of the patients A, B, and C via the communication network 32 . Therefore, the online medical care system 300 does not need to be provided with a dedicated repeater 12 for connecting the biological

information acquisition apparatuses

1A, 1B, and 1C to the online medical care server 15, so that the system can be simple and inexpensive.

Doctor I's camera-equipped communication terminal SD is connected to the Internet via a communication network 32. When connecting the biological

information acquisition apparatuses

1A, 1B, and 1C to the online medical care server 15, the online medical care system 300 connects the camera-equipped communication terminals SA, SB, and SC of the patients A, B, and C, and of the doctor I. The camera of the communication terminal SD with a camera can be used to verify the identity of the user. That is, the online medical care server 15 receives a confirmation signal indicating the identity of the patient by a face authentication system using images of patients A, B, and C and doctor I photographed by the camera of the camera-equipped communication terminal. Upon receiving the confirmation signal, the online medical care server 15 receives the stress index matrix M from the biological

information acquisition devices

1A, 1B, and 1C, and sends the generated biological state information to the corresponding biological

information acquisition devices

1A, 1B, and 1C. Send. Since the generated biological condition information is not transmitted to a biological information acquisition device other than the patient, the personal information of each patient A, B, and C is not leaked to a third party other than the patient, so the patient's personal information and privacy are protected. can be protected. Note that the face authentication system can use known technology.

The communication network 32 may be the Internet network. The communication network 32 may include a local area network, a mobile communication network, or a VPN (Virtual Private Network).

The biological

information acquisition apparatuses

1A, 1B, and 1C acquire distance information between the camera-equipped communication terminals SA, SB, and SC by wireless communication, and transmit the acquired distance information to each patient A, SB, and SC. It is designed to be stored as social distance data between B and C. Therefore, the above social distance data can be used as objective data when the artificial intelligence 13 of the online medical care system 300 outputs the estimated stress state.

Further, by using the images captured by the cameras of the camera-equipped communication terminals SA, SB, and SC of the patients A, B, and C, the doctor I can determine the light emission state of the output unit 9 of the biological information acquisition device 1, the patient's complexion, and the like. can be confirmed through the screen, the online medical care server 15 can generate more appropriate biological condition information.

Although the personal identification means is a face authentication system using images taken by the cameras of the camera-equipped communication terminals SA, SB, SC, and SD, it is not limited to this. A fingerprint authentication system using a built-in fingerprint sensor (not shown), a vein authentication system using a vein shape pattern using an infrared sensor (not shown), or a human voiceprint using a voice sensor (not shown) A voiceprint authentication system or the like can be used.

<<Invention Embodiment 6>>
FIG. 13 shows a death time prediction system 400 (biological state warning system) according to Embodiment 6 of the present invention. The death time prediction system 400 is the same as in Embodiment 2 except that the stress management server 15, artificial intelligence 13 and external database 14 of Embodiment 2 are replaced with a death time prediction management server 45, artificial intelligence 43 and external database 44, respectively. , the same parts as in the second embodiment are denoted by the same reference numerals, and only different parts will be described.

The death time prediction system 400 is designed to predict death times for patients D, E, and F to be diagnosed.

The artificial intelligence 43 and the external database 44 input each stress index matrix M of the target patient obtained by the biological

information acquisition devices

1D, 1E, and 1F attached to the target patients D, E, and F, respectively, and the time series The latest estimated time of death (biological condition information) of the target patient is output by learning based on the data or comparison with past similar data.

Fig. 14 shows the artificial intelligence 43, which is a neural network dedicated to predicting the time of death. The artificial intelligence 43 includes an input layer for inputting objective data such as heart rate variability σHR, respiratory variability σRR, gravity, velocity/angular velocity, body temperature, biomagnetic force, etc., and subjective data such as doctor's findings, and three layers. and an output layer that outputs the estimated time of death.

Fig. 15 shows general changes in the stress index over time for the target patient. A correlation was observed that the stress index SI for the target patient initially decreased over time and increased approximately 72 hours before the time of death, confirming that it is effective for estimating the time of death. Therefore, the artificial intelligence 43 can predict the time of death by inputting objective data including the subject patient's stress index SI and subjective data by a doctor.

According to the death time prediction system 400, by predicting the death time of target patients D, E, and F, it is possible to encourage anticipatory grief for the patient's family and to alleviate psychological distress at the end of life.

<<Embodiment 7 of the invention>>
FIG. 16 shows a disaster occurrence notification system 500 (biological state warning system) according to Embodiment 7 of the present invention. In the disaster occurrence report system 500, the stress management server 15, the artificial intelligence 13, and the external database 14 of the fifth embodiment are replaced with a disaster occurrence report management server 55, the artificial intelligence 53 dedicated to disaster occurrence reports, and the external database 54, respectively. Since it is the same as that of Embodiment 5 other than that, the same code|symbol is attached|subjected to the same part as Embodiment 5, and other than that, only a different part is demonstrated.

The disaster occurrence notification system 500 is designed to notify the emergency vehicle 56 of a request for relief when a disaster or the like occurs to the person to be measured.

The disaster occurrence report management server 55 is connected to the emergency vehicle 56 through the communication network 32 or a predetermined communication line.

In addition, the artificial intelligence 53 and the external database 54 learn based on the time-series data for the inputs of the stress index matrices M of the subjects A, B, and C obtained by the biological

information acquisition apparatuses

1A, 1B, and 1C. Alternatively, the latest estimated damage state (biological state information) of subjects A, B, and C is output to the disaster occurrence notification management server 55 by comparison with past similar data. In addition, the disaster occurrence report management server 55 judges the estimated disaster state of each subject A, B, and C, and transmits the disaster occurrence information RQ including a relief request according to the judgment result to the emergency vehicle 56. It's becoming

For example, when subjects A, B, and C are affected by a disaster, biometric

information acquisition devices

1A, 1B, and 1C attached to subjects A, B, and C are equipped with cameras that are uniquely connected by wireless communication. The communication terminals SA, SB, and SC transmit the stress index matrix M of the subjects A, B, and C to the disaster report management server 55 via the communication network 32 . The disaster occurrence report management server 55 inputs the received stress index matrix M to the dedicated artificial intelligence 53 or the external database 54 . Then, the dedicated artificial intelligence 53 or the external database 54 calculates estimated disaster states of the subjects A, B, and C based on the stress index matrix M, and outputs them to the disaster occurrence report management server 55 . The disaster occurrence notification management server 55 determines the relief priority of subjects A, B, and C based on the received estimated damage state, and performs a predetermined notification operation.

The disaster occurrence notification management server 55, for example, provides each of the estimated disaster states, such as relief 3 with a low priority, relief 2 with a medium priority, and relief 1 with a high priority, to the subjects A and B. , C. The disaster occurrence report management server 55 first transmits to the emergency vehicle 56 the disaster occurrence information RQ for the person to be measured C, who has a high relief priority, and the location information of the person to be measured C from the camera-equipped communication terminal SC. Next, the disaster occurrence notification management server 55 transmits the same information about the person to be measured B, whose priority for relief is middle, to the emergency vehicle 56, and finally, the information about the person to be measured, whose priority is low to the emergency vehicle 56. In this way, the disaster occurrence report management server 55 can accurately transmit the rapid disaster occurrence information RQ according to the relief priority of the affected subjects A, B, and C to the emergency vehicle 56. can.

In addition, the disaster occurrence report management server 55 transmits the report result to the emergency vehicle 56 including the disaster occurrence information RQ to the biological

information acquiring devices

1A, 1B, and 1C of the corresponding subjects A, B, and C.

According to the seventh embodiment of the present invention, when a disaster occurs, it is possible to timely and accurately report the occurrence of a disaster to a plurality of subjects A, B, and C using the biometric

information acquisition devices

1A, 1B, and 1C. A notification system 500 can be provided.

In addition, by reconstructing the user platform, this system will provide online medical treatment based on contactless biological condition information, telemedicine, management of intractable diseases (triglyceride accumulation cardiovascular disease: TGCV, etc.), regional comprehensive It can also be applied to care systems, hospital ships (systems), and service provider selection systems.

Further, in the biometric information acquiring apparatus 1 according to Embodiments 1 to 7 of the present invention, as shown in FIGS. 4. The input unit 8, the output unit 9, and the communication interface unit 11 are constructed as separate housings, but they may be constructed as the same housing. For example, by forming the body-conducted sound signal processing unit 6 of the biological signal processing unit 4 into the same housing as the body frame 2 and the measurement pad unit 3, there is no need to transmit and receive sensor signals via the wireless transmission/

reception units

3c and 5. . Therefore, the communication overhead required for transmitting the sensor signal to the biological signal processing unit 4 is unnecessary, and the amount of communication can be reduced, so that the communication band can be suppressed.

Moreover, although the biological information acquisition device 1 has been described as a case where the pair of measurement pad portions 3 abut against the left and right winds E1 of the subject H1, the present invention is not limited thereto. It may be made to contact acupuncture points (pots) such as the left and right polar springs.

In addition, although the biological information acquisition device 1 has been described as having a pair of measurement pad portions 3, the present invention is not limited to this, and one or more than three measurement pad portions 3 are provided, and each measurement pad portion 3 is one. Or you may make it contact|abut on three or more acupuncture points (pot). For example, the biometric information acquisition device 1 may include only one measurement pad section 3, and the measurement pad section 3 may abut on acupuncture points (acupuncture points) such as the middle of the subject H1.

When the body-conducted sound signal processing unit 6 receives the sensor signal via the wireless transmission/reception unit 5, the sensor signal is Fourier-transformed for a predetermined time (for example, 30 seconds), and the signal after Fourier transformation is converted into an acoustic heartbeat signal. It may be input to the number measuring section 61 and the acoustic respiration rate measuring section 62 . A low-pass signal is output from the Fourier-transformed signal by the low-pass filter section 61a, and a high-pass signal is output by the high-pass filter section 62a. Since each period can be derived from the inverse Fourier-transformed signal obtained by further inverse Fourier transforming the low-pass signal and the high-pass signal, the variation in the heart rate and the variation in the respiration rate can be calculated based on the derived period. can be extracted.

Reference Signs List

1, 1A, 1B, 1C biological information acquisition device 2 body frame (biasing force application unit)
2a gravity sensor 3 measurement pad unit 3a body-conducting sound sensor 3b temperature sensor 4 biological signal processing unit 12 repeater 13 artificial intelligence 14 external database 15 stress management server 32 communication network 43 artificial intelligence 44 external database 45 death time prediction management server 53 artificial Intelligence 54 External database 55 Disaster occurrence report management server 61a Low-pass filter unit 62a High-pass filter unit 100 Stress warning system (biological condition warning system)
200 COVID-19 Detection System (Biological Condition Warning System)
300 online medical care system (biological condition warning system)
400 Death Time Prediction System (Biological Condition Warning System)
500 Disaster occurrence notification system (biological condition warning system)
SA, SB, SC, SD Communication terminal with camera

Claims

A biological information acquisition device for acquiring biological information of a subject,
a pair of measurement pads capable of measuring biosignals;
an urging force applying unit that applies the same urging force in a direction in which each measuring pad portion is applied to each of the shadows of the person to be measured in the direction of approaching each other;
A biological information acquisition device, comprising: a biological signal processing unit connected to each of the measurement pad units and configured to perform arithmetic processing on the biological signal measured by each of the measurement pad units to extract the biological information.
In the biological information acquisition device according to claim 1,
The measurement pad section includes a body-conducted sound sensor capable of measuring a body-conducted sound signal,
The biological signal processing unit includes a low-pass filter unit that passes only signals lower than a predetermined frequency of body-conducted sound signals measured by the body-conducted sound sensor and extracts them as heart rate fluctuations (heartbeat fluctuations); and a high-pass filter section for passing only signals higher than a predetermined frequency and extracting them as fluctuations in respiration rate (fluctuations in respiration).
In the biological information acquisition device according to claim 2,
The biomedical signal processing unit sets the variation of the heart rate extracted by the low-pass filter unit as σHR and the variation of the respiration rate extracted by the high-pass filter unit as σRR. The stress index SI is calculated by SI=σRR/σHR every time, and the stress index SI and the evaluation value W of the subjective evaluation item preliminarily input by the subject for each time T are arranged in rows in order, Further, the biometric information acquisition device is configured to output a stress index matrix M with a time axis as a column.
In the biological information acquisition device according to claim 3,
The measurement pad section includes a temperature sensor capable of measuring the surface temperature of the person to be measured,
The biomedical signal processing unit is configured to arrange the surface temperatures measured by the temperature sensor every time T elapsed in the stress index matrix M as rows and to output the time axis as columns. Biometric information acquisition device.
The plurality of biological information acquisition devices according to claim 3, which are respectively worn by a plurality of subjects;
an artificial intelligence or an external database that outputs an estimated stress state of each subject based on the stress index matrix M;
Via a communication network, the biological information acquisition device and the artificial intelligence or an external database are connected respectively, and the stress index matrix M received from the biological information acquisition device and the artificial intelligence or the external database input determining the stress state of each subject based on each estimated stress state, generating biological state information according to the determination result, and transmitting the corresponding biological information acquisition device via the communication network; and a management server for transmitting each piece of biological state information to a biological state warning system.
In the biological state warning system of claim 5,
further comprising identity verification means capable of confirming whether the person to be measured is the person himself/herself;
The biological state warning system, wherein the management server transmits the biological state information to the corresponding biological information acquisition device when the identity is confirmed by the personal identification means.
The biological condition warning system of claim 6,
A biological state warning system, wherein the personal identification means is a face authentication system using an image photographed by a camera.