WO2018167897A1 - Dispositif et programme de détection d'informations biométriques - Google Patents

Dispositif et programme de détection d'informations biométriques Download PDF

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Publication number
WO2018167897A1
WO2018167897A1 PCT/JP2017/010538 JP2017010538W WO2018167897A1 WO 2018167897 A1 WO2018167897 A1 WO 2018167897A1 JP 2017010538 W JP2017010538 W JP 2017010538W WO 2018167897 A1 WO2018167897 A1 WO 2018167897A1
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Prior art keywords
antenna
characteristic
information detection
biological information
loss
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PCT/JP2017/010538
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English (en)
Japanese (ja)
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仲尾圭市
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富士通株式会社
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Priority to PCT/JP2017/010538 priority Critical patent/WO2018167897A1/fr
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb

Definitions

  • the present invention relates to a biological information detection apparatus and a biological information detection program.
  • JP 2013-153783 A Japanese Patent Laying-Open No. 2015-116473
  • an object of the first aspect of the present disclosure is to provide a biological information detection apparatus that can realize detection of biological information (for example, at least one of heartbeat and respiration) that is not easily influenced by the movement of the living body. It is in.
  • One embodiment is a biological information detection apparatus in a biological information detection system having a first antenna and a second antenna provided on the opposite side of the first antenna across the living body, An electromagnetic wave output unit for outputting an electromagnetic wave to the first antenna; a first characteristic of a reflected wave of the electromagnetic wave received by the first antenna; and a second characteristic of the electromagnetic wave received by the second antenna. And a biological information detector that detects at least one of heartbeat and respiration of the living body based on characteristics.
  • a biological information detection device that can realize detection of biological information (for example, at least one of heartbeat and respiration) that is not easily influenced by the movement of the living body.
  • FIG. 1 is a diagram illustrating an overall configuration of a biological information detection system 10.
  • FIG. 4 is a diagram for explaining the operation of the biological information detection system 10.
  • FIG. (A) an example of a waveform representing the reflection characteristic S 11, an example of a waveform representing the (b) passing characteristic S 21, an example of a waveform representing the (c) loss PL.
  • This is an example in which the biological information detection system 10 is applied to a vehicle (not shown).
  • It is a functional block diagram of a biological information detection device (on-vehicle device).
  • 4 is a flowchart for explaining an initial calibration process of the biological information detection system 10.
  • FIG. 7 is a flowchart for explaining the biological information detection process of the biological information detection system 10.
  • FIG. 1 is a diagram illustrating an overall configuration of the biological information detection system 10.
  • the biological information detection system 10 includes a first antenna ANT1, a second antenna ANT2, a biological information detection device 20, and the like.
  • the first antenna ANT1 and the second antenna ANT2 are arranged so as to sandwich the measurement object 30 (for example, a driver of an automobile; hereinafter also referred to as a driver 30).
  • the measurement object 30 corresponds to the living body of the present invention.
  • the number of antennas is not limited to the first antenna ANT1 and the second antenna ANT2, but three or more antennas such as the first antenna ANT1, the second antenna ANT2, the third antenna ANT3,. An antenna may be used.
  • FIG. 2 is a diagram for explaining the operation of the biological information detection system 10.
  • the first antenna ANT1 transmits a high frequency signal (transmitted wave) generated by the high frequency signal generator 21.
  • the high frequency signal corresponds to the electromagnetic wave of the present invention.
  • the first antenna ANT1 receives the reflected wave reflected by the measurement target 30.
  • the second antenna ANT2 receives the passing wave that has passed through the measurement object 30.
  • the third antenna ANT3 When three or more antennas are used, the third antenna ANT3... Also receives a passing wave that has passed through the measurement target 30.
  • the biological information detection apparatus 20 calculates the reflection characteristics based on the reflected wave received by the first antenna ANT1.
  • the reflection characteristic corresponds to the first characteristic of the present invention.
  • the biological information detection apparatus 20 calculates a passing characteristic based on the passing wave received by the second antenna ANT2.
  • the pass characteristic corresponds to the second characteristic of the present invention.
  • the reflection characteristic and the transmission characteristic (S parameter) between the first antenna ANT1 and the second antenna ANT2 are expressed by the following equations: 1 and 2 can be calculated.
  • Reflection characteristic S 11 b 1 / a 1 (Expression 1)
  • Passing characteristic S 21 b 2 / a 1 (Expression 2)
  • b 1 is the amplitude of the reflected wave
  • b 2 is the amplitude of the passing wave
  • a 1 is the amplitude of the transmitted wave.
  • FIG. 3 (a) is an example of a waveform representing the reflection characteristic S 11
  • FIG. 3 (b) is a waveform example representing the pass characteristic S 21.
  • Equation 3 indicates that if the reflection characteristic S 11 is large (small), the pass characteristic S 21 becomes small (large), and that the sum of the power of the reflected wave and the pass wave does not exceed the power of the transmission wave. To express.
  • the loss PL of the measurement system including the antennas ANT1 and ANT2 and the measurement target 30 is defined by the following equation (4).
  • Loss PL 1 ⁇ (
  • the loss PL is the difference between the power of the transmission radio wave and the reception radio wave.
  • the above equation 4 determines the loss PL from the difference in amplitude between the transmitted radio wave and the received radio wave.
  • FIG. 3C shows an example of a waveform representing the loss PL.
  • body movement and vibration are changes in position. Even if the reflected wave or the passing wave changes due to the measurement object 30 moving relative to the antennas ANT1 and ANT2 due to body movement and vibration, the reflection characteristic S 11 and the passage characteristic S 21 only change, so that the change in loss PL due to body movement and vibration is relatively small.
  • the body movement here refers to a relatively small body movement such as a body movement when the driver 30 operates the handle.
  • the vibration referred to here is a relatively small vibration such as, for example, a rotation of an automobile engine or a vibration generated when traveling on a general road.
  • the movement of the measurement target 30 relative to the antennas ANT1 and ANT2 is a movement in a linear direction (front-rear direction) connecting the first antenna ANT1 and the second antenna ANT2, and a direction perpendicular to the straight line. This is either or both of the movements (for example, in the left-right direction).
  • the dielectric constant of the measurement object 30 locally changes due to heartbeat and respiration, the change in loss PL due to heartbeat and respiration is relatively large.
  • the change in dielectric constant, reflection characteristic S 11 or pass characteristic S 21 is changed. That is, changes in blood flow due to pulsation of the heart and movements of the lungs due to respiration are accompanied by local changes in dielectric constant.
  • the high frequency passing through the portion having a relatively high dielectric constant is greatly attenuated (that is, the amplitude of the passing wave is reduced) compared to the high frequency passing through the portion having a relatively low dielectric constant.
  • the loss (time series data) changes in time series with heartbeat and respiration, and includes a heartbeat signal and a respiration signal.
  • the loss includes a heartbeat signal and a respiration signal from which the influence of body motion and vibration has been removed.
  • This loss (time series data) has the following advantages.
  • the change in loss PL caused by body movement or vibration is relatively small (for example, smaller than the initial value (threshold) described later), the loss caused by the body movement or vibration is not performed without using another filter. It is possible to obtain a state in which a change in PL is removed (noise canceling effect). This is because the change in loss PL caused by relatively small body movements and vibrations is smaller than the change in loss PL caused by heartbeats and breathing, so the heartbeat signal and respiration signal are lost due to the body movements and vibrations. This is because it is not (or hardly) affected by the change in PL.
  • the change in loss PL due to relatively large body movements and vibrations is larger than the change in loss PL due to heartbeat and respiration. .
  • the body movement or vibration is relatively large (for example, when it is larger than an initial value (threshold) described later), the measurement system itself changes greatly.
  • a threshold value (initial value) is provided, and when the threshold value is exceeded, a filtering process described later is performed, so that changes in loss PL caused by the body movement and vibration can be removed.
  • Living body information detection apparatus 20 based on the reflection characteristic S 11 calculated above and the transmission characteristic S 21, to detect the heart rate and respiration of the measurement target 30.
  • the biological information detection apparatus 20 based on the reflection characteristic S 11 calculated above and the transmission characteristic S 21, loss PL (power measurement system comprising a respective antenna ANT1, ANT2 and measured 30 (Scattering rate) is calculated.
  • loss PL power measurement system comprising a respective antenna ANT1, ANT2 and measured 30 (Scattering rate) is calculated.
  • the biological information detection apparatus 20 calculates the loss PL using the above equation 4.
  • the biological information detection apparatus 20 extracts a heartbeat signal and a respiration signal from the calculated loss PL (time series data). Specifically, a heartbeat signal and a respiration signal are extracted by performing a filtering process such as a bandpass filter.
  • the biological information detection apparatus 20 detects (estimates) the heart rate and the respiration rate using a known means.
  • Known methods include a method of selecting a peak frequency using a fast Fourier transform (FFT), a method of counting heartbeat signal peaks (respiration signal peaks), and the like.
  • FFT fast Fourier transform
  • the heartbeat signal and the respiration signal and noise caused by body movement and vibration are caused by the body movement and vibration. It is difficult to separate the noise due to the change in the relative positional relationship with ANT2.
  • loss PL time series data
  • noise caused by relatively small body movements and vibrations can be removed, and heart rate (number) and respiration (number) Can be estimated (detected) with high accuracy.
  • the loss PL changes to remove the relatively small motion (relatively small body movement and noise caused by vibration), losses PL It is possible to expect a kind of noise canceling effect of extracting a relatively large change (a relatively large heartbeat signal or respiration signal). As a result, noise caused by relatively small body movement and vibration can be removed without using another filter, and heartbeat and respiration can be accurately estimated.
  • the loss PL is This is because the property of taking a constant value is used.
  • FIG. 4 shows an example in which the biological information detection system 10 is applied to a vehicle (not shown).
  • the biological information detection device 20 is referred to as the in-vehicle device 20.
  • the in-vehicle device 20 (mainly CPU 25) corresponds to the computer of the present invention.
  • the in-vehicle device 20 includes a high-frequency signal generator 21, a bandpass filter 22, a coupler 23, a signal receiver 24 (hereinafter also referred to as a digital signal processing circuit 24), a CPU 25 (Central Processing Unit), a memory. 26 etc.
  • the first antenna ANT1 is generated by the high-frequency signal generator 21, passes through the band-pass filter 22, and further transmits a high-frequency signal (transmission wave) via the coupler 23.
  • the second antenna ANT2 is provided on the opposite side of the first antenna ANT1 with the driver 30 interposed therebetween.
  • the antennas ANT1 and ANT2 are arranged so that the driver 30 seated in a standard posture (stationary posture) on the driver's seat is positioned on a straight line connecting the first antenna ANT1 and the second antenna ANT2. Specifically, each of the antennas ANT1 and ANT2 passes a part of the high frequency transmitted from the first antenna ANT1 through the heart and lungs of the driver 30 seated in a standard posture in the driver's seat, and the high frequency that has passed therethrough. It arrange
  • the first antenna ANT1 is arranged inside the driver's seat, and the second antenna ANT2 is arranged inside the dashboard in front of the driver's seat.
  • the second antenna ANT2 may be arranged inside the driver's seat, and the first antenna ANT1 may be arranged inside the dashboard in front of the driver's seat.
  • the antennas ANT1 and ANT2 are connected to the in-vehicle device 20 through wiring. Signals transmitted and received by the respective antennas ANT1 and ANT2 are transmitted to the in-vehicle device 20 through wiring.
  • the high-frequency signal generator 21 generates frequency components that are partly reflected by the driver 30 and received by the first antenna ANT1, and the other part passes through the driver 30 and is received by the second antenna ANT2.
  • a high-frequency signal generator that generates a high-frequency signal including.
  • the band-pass filter 22 Only a specific frequency component of the high-frequency signal generated by the high-frequency signal generator 21 passes through the band-pass filter 22 and is input to the digital signal processing circuit 24 and the antenna ANT1. Part of the specific frequency component (corresponding to the electromagnetic wave of the present invention) is reflected by the driver 30 and received by the first antenna ANT1, and the other part passes through the driver 30 and passes through the second antenna ANT2.
  • the frequency component is selected from the range of several kHz to several GHz.
  • the high-frequency signal generator 21 and the band-pass filter 22 correspond to the electromagnetic wave output unit of the present invention.
  • the coupler 23 is a directional coupler (directional coupler) that can separate and extract the traveling wave of the high-frequency signal that has passed through the bandpass filter 22 and the received signal received by the first antenna ANT1.
  • the reception signal extracted by the coupler 23 is input to the digital signal processing circuit 24.
  • the reception signal received by the second antenna ANT2 is also input to the digital signal processing circuit 24.
  • CPU 25 is responsible for the overall operation of the in-vehicle device 20.
  • the memory 26 is, for example, a RAM (Random Access Memory).
  • FIG. 5 is a functional block diagram of the biological information detection apparatus (on-vehicle apparatus).
  • the digital signal processing circuit 24 includes an A / D conversion unit 24a, a reflection characteristic calculation unit 24b, a transmission characteristic calculation unit 24c, a biological information detection unit 24d (a loss calculation unit 24d1, a biological information extraction unit 24d2, A heart rate / respiration rate detector 24d3).
  • the A / D converter 24a receives three signals input thereto, that is, a high-frequency signal that has passed through the bandpass filter 22, and a received signal that is received by the first antenna ANT1 and separated by the coupler 23 (A signal after detection) and A / D conversion (sampling) of the received signal (signal after detection) received by the second antenna ANT2.
  • the sampling frequency is a frequency considered so that a heartbeat signal and a respiration signal can be extracted.
  • Reflection characteristic calculating unit 24b based on the reflected waves first antenna ANT1 is received, calculates the reflection characteristic S 11. Specifically, the reflection characteristic calculating unit 24b, using the above equation 1, for each sampling period, and calculates the reflection characteristic S 11.
  • the reflection characteristic calculation unit 24b corresponds to the first characteristic calculation unit of the present invention.
  • Pass characteristic calculation unit 24c based on the passage waves second antenna ANT2 is received, calculates the pass characteristics S 21. Specifically, pass characteristic calculation unit 24c, using the above equation 2, for each sampling period, and calculates the pass characteristics S 21.
  • the pass characteristic calculation unit 24c corresponds to the second characteristic calculation unit of the present invention.
  • the biological information detection unit 24d includes a loss calculation unit 24d1, a biological information extraction unit 24d2, and a heartbeat / respiration rate detection unit 24d3.
  • Loss calculation unit 24d1 has a reflection characteristic S 11 that the reflection characteristics calculating unit 24b is calculated, the pass characteristic S 21 that pass characteristic calculation unit 24c is calculated, on the basis of the driver 30 heartbeat signal (waveform), and respiratory
  • the loss PL including the signal (waveform) is calculated.
  • the loss calculation unit 24d1 calculates the loss PL for each sampling period using the above equation 4, and stores the loss PL in the memory 26 as time series data.
  • the biological information extraction unit 24d2 performs a filtering process such as a band-pass filter on the loss PL (time series data) stored in the memory 26, so that the loss PL (time series data) stored in the memory 26 is used.
  • a heartbeat signal and a respiration signal are extracted (detected). At that time, a heartbeat filter and a breathing filter are used.
  • the heartbeat filter is a filter (for example, a bandpass filter) that is considered so that a heartbeat signal included in the calculated loss PL (time-series data) can be extracted.
  • the respiration filter is a filter (for example, a bandpass filter) that is considered so that a respiration signal included in the calculated loss PL (time-series data) can be extracted.
  • the heart rate / respiration rate detection unit 24d3 detects (estimates) the heart rate and the respiration rate from the heart rate signal and the respiration signal extracted by the biological information extraction unit 24d2 using known means such as fast Fourier transform.
  • the CPU 25 functions as a comparison unit 25a and a noise removal unit 25b by executing a predetermined program read into the memory 26.
  • the comparison unit 25a compares the loss PL calculated by the loss calculation unit 24d1 with a threshold value.
  • the noise removing unit 25b removes a noise signal from the loss PL (time series data) by performing a filtering process such as a band pass filter.
  • FIG. 6 is a flowchart for explaining an initial calibration process of the biological information detection system 10.
  • the driver 30 sits in the driver's seat in a standard posture (stationary posture), and the relative positional relationship of the driver 30 with respect to the antennas ANT1 and ANT2 does not change (or hardly changes). Executed in state.
  • the following processing is realized mainly by the CPU 25 executing a predetermined program (for example, a biological information detection program) read into the memory 26.
  • a predetermined program for example, a biological information detection program
  • the high frequency signal generator 21 generates a high frequency signal for a certain period (for example, 30 seconds) (step S10). Only an arbitrary frequency component of the high frequency signal generated by the high frequency signal generator 21 passes through the band pass filter 22 and is input to the digital signal processing circuit 24 and the first antenna ANT1. The first antenna ANT1 transmits a high frequency signal (radio wave) input thereto.
  • the first antenna ANT1 receives the reflected wave reflected by the driver 30, and the second antenna ANT2 receives the passing wave that has passed through the driver 30 (step S11).
  • the received signal received by the first antenna ANT1 is extracted by the coupler 23 and input to the digital signal processing circuit 24.
  • the reception signal received by the second antenna ANT2 is also input to the digital signal processing circuit 24.
  • the detection unit detects the reflected wave (reception signal) and the passing wave (reception signal) received in step S11 (step S12).
  • the detection unit is realized by, for example, a predetermined circuit or by the CPU 25 executing a predetermined program.
  • the A / D conversion unit 24a receives the high-frequency signal that has passed through the band-pass filter 22, the reception signal received by the first antenna ANT1 and separated by the coupler 23 (the signal after detection in step S12), and The received signal (the signal after the detection in step S12) received by the second antenna ANT2 is sampled.
  • the reflection characteristic calculation unit 24b by using the above equation 1, for each sampling period, and calculates the reflection characteristic S 11, and, passing characteristic calculation unit 24c by using the above equation 2, for each sampling period, passing calculating a characteristic S 21 (step S14).
  • the loss calculation unit 24d1 calculates the loss PL for each sampling period using the above equation 4 (step S15).
  • the calculated loss PL is stored as an initial value (threshold value) in the memory 26 (step S16).
  • the calculated loss PL is stored as average value data (or time series data). Note that the calculated loss PL may be stored in the memory 26 as an initial value obtained by, for example, ⁇ 50% of the loss PL.
  • FIG. 7 is a flowchart for explaining the biological information detection process of the biological information detection system 10.
  • the biological information detection process is executed, for example, in a state where the driver 30 sitting in a standard posture on the driver's seat is driving.
  • the following processing is realized mainly by the CPU 25 executing a predetermined program (for example, a biological information detection program) read into the memory 26.
  • a predetermined program for example, a biological information detection program
  • the high frequency signal generator 21 generates a high frequency signal (step S10A). Only an arbitrary frequency component of the high frequency signal generated by the high frequency signal generator 21 passes through the band pass filter 22 and is input to the digital signal processing circuit 24 and the first antenna ANT1.
  • the first antenna ANT1 transmits a high frequency signal (radio wave) input thereto.
  • the first antenna ANT1 receives the reflected wave reflected by the driver 30, and the second antenna ANT2 receives the passing wave that has passed through the driver 30 (step S11A).
  • the received signal received by the first antenna ANT1 is extracted by the coupler 23 and input to the digital signal processing circuit 24.
  • the reception signal received by the second antenna ANT2 is also input to the digital signal processing circuit 24.
  • the detection unit detects the reflected wave (reception signal) and the passing wave (reception signal) received in step S11A (step S12A).
  • the detection unit is realized by, for example, a predetermined circuit or by the CPU 25 executing a predetermined program.
  • the A / D conversion unit 24a receives the high-frequency signal that has passed through the band-pass filter 22, the reception signal received by the first antenna ANT1 and separated by the coupler 23 (the signal after detection in step S12), and The received signal (the signal after the detection in step S12) received by the second antenna ANT2 is sampled.
  • the reflection characteristic calculation unit 24b by using the above equation 1, for each sampling period, and calculates the reflection characteristic S 11, and, passing characteristic calculation unit 24c by using the above equation 2, for each sampling period, passing calculating a characteristic S 21 (step S14A).
  • the loss calculation unit 24d1 calculates the loss PL for each sampling period using the above equation 4 (step S15A).
  • the comparison unit 25a compares the loss PL calculated by the loss calculation unit 24d1 with the initial value (threshold value) stored in the memory 26 in step S16 for each sampling period (step S20).
  • the noise removing unit 25b performs a filtering process to remove the noise signal from the loss PL (step S21).
  • the loss PL from which the noise signal has been removed is stored in the memory 26 (step S22).
  • step S20 if the loss PL is smaller than the initial value (loss ⁇ initial value) as a result of the comparison in step S20, the filtering process is not performed, and the loss PL calculated in step S15A is stored in the memory 26 (step S22).
  • steps 14A to S23 are repeatedly executed until the sampling period is completed (step S23: No). Thereby, the loss PL (time-series data) from which the noise signal is removed is stored in the memory 26.
  • step S23 when the sampling cycle is ended (step S23: Yes), the biological information extraction unit 24d2 performs a filtering process, so that a heartbeat signal (waveform) and a loss PL (time-series data) stored in the memory 26 are obtained. A breathing (waveform) signal is extracted (detected) (step S24).
  • the heart rate / respiration rate detection unit 24d3 detects (estimates) the heart rate and respiration rate from the heart rate signal and respiration signal extracted by the biological information extraction unit 24d2.
  • the biological information detection apparatus 20 and the biological information detection program that can realize detection of biological information (for example, heartbeat and respiration) that is not easily influenced by the movement of the driver 30.
  • the movement of the driver 30 here refers to a movement in a linear direction (front-rear direction) connecting the first antenna ANT1 and the second antenna ANT2, and a movement in a direction perpendicular to the straight line (for example, left-right direction). Either or both.
  • the measurement target 30 is a driver of an automobile and the biological information detection device 20 is the in-vehicle device 20 mounted on the vehicle has been described, but the present invention is not limited thereto.
  • the measurement target 30 may be a person sleeping in a bed or other people, and the biological information detection device 20 may be provided in the bed, in the vicinity thereof, or elsewhere.
  • the said embodiment demonstrated the example which extracts the signal (waveform) of a heartbeat and the signal of a respiration (waveform) (step S24), and detects (estimates) a heart rate and a respiration rate, it does not restrict to this. Absent. For example, at least one of a heartbeat signal (waveform) and a respiration (waveform) signal may be extracted. Further, at least one of the heart rate and the respiratory rate may be detected (estimated).
  • SYMBOLS 10 Biological information detection system, 20 ... Biological information detection apparatus (vehicle equipment), 21 ... High frequency signal generator, 22 ... Band pass filter, 23 ... Coupler, 24 ... Signal receiver (digital signal processing circuit), 24a ... A / D conversion unit, 24b ... reflection characteristic calculation unit, 24c ... passage characteristic calculation unit, 24d ... biological information detection unit, 24d1 ... loss calculation unit, 24d2 ... biological information extraction unit, 24d3 ... heart rate / respiration rate detection unit, 25 ... CPU, 25a ... comparing unit, 25b ... noise removing unit, 26 ... memory, 30 ... measurement object (driver), ANT1 ... first antenna, ANT2 ... second antenna, PL ... loss, S 11 ... reflection characteristics, S 21 ... Passing characteristics

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Abstract

Cette invention concerne un dispositif de détection d'informations biométriques faisant partie d'un système de détection d'informations biométriques comprenant une première antenne et une seconde antenne qui se trouve du côté opposé d'un corps vivant par rapport à la première. Le dispositif de détection d'informations biométriques comprend une unité de génération d'ondes électromagnétiques qui amène la première antenne à émettre des ondes électromagnétiques, et une unité de détection d'informations biométriques qui détecte soit le battement de cœur, soit la respiration du corps vivant en fonction d'une première caractéristique des ondes réfléchies des ondes électromagnétiques reçues par la première antenne et d'une seconde caractéristique des ondes électromagnétiques reçues par la seconde antenne. La présente invention permet la détection d'informations biométriques (par exemple, battement de coeur et/ou respiration) d'une manière qui n'est pas susceptible d'être affectée par le mouvement du corps vivant.
PCT/JP2017/010538 2017-03-15 2017-03-15 Dispositif et programme de détection d'informations biométriques WO2018167897A1 (fr)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020062291A (ja) * 2018-10-18 2020-04-23 Ｓｉｍｐｌｅｘ Ｑｕａｎｔｕｍ株式会社 生体情報検出装置及び生体情報検出方法
CN111685727A (zh) * 2019-03-12 2020-09-22 佳能医疗系统株式会社 生物体信息监测装置以及磁共振成像装置

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0461849A (ja) * 1990-06-29 1992-02-27 Colleen Denshi Kk 末梢循環検出装置
JP2013153783A (ja) * 2012-01-26 2013-08-15 Toyota Infotechnology Center Co Ltd 心拍検知装置および心拍検知方法
US20140058256A1 (en) * 2011-04-29 2014-02-27 Nederlandse Organisatie Voor Toegepast- Natuurwetenschappelijk Onderzoek Tno Radar apparatus for detecting multiple life - signs of a subject, a method and a computer program product

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0461849A (ja) * 1990-06-29 1992-02-27 Colleen Denshi Kk 末梢循環検出装置
US20140058256A1 (en) * 2011-04-29 2014-02-27 Nederlandse Organisatie Voor Toegepast- Natuurwetenschappelijk Onderzoek Tno Radar apparatus for detecting multiple life - signs of a subject, a method and a computer program product
JP2013153783A (ja) * 2012-01-26 2013-08-15 Toyota Infotechnology Center Co Ltd 心拍検知装置および心拍検知方法

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020062291A (ja) * 2018-10-18 2020-04-23 Ｓｉｍｐｌｅｘ Ｑｕａｎｔｕｍ株式会社 生体情報検出装置及び生体情報検出方法
CN111685727A (zh) * 2019-03-12 2020-09-22 佳能医疗系统株式会社 生物体信息监测装置以及磁共振成像装置
CN111685727B (zh) * 2019-03-12 2024-05-14 佳能医疗系统株式会社 生物体信息监测装置以及磁共振成像装置

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