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WO2020195899A1 - Dispositif de détection d'informations biologiques - Google Patents

Dispositif de détection d'informations biologiques Download PDF

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Publication number
WO2020195899A1
WO2020195899A1 PCT/JP2020/010842 JP2020010842W WO2020195899A1 WO 2020195899 A1 WO2020195899 A1 WO 2020195899A1 JP 2020010842 W JP2020010842 W JP 2020010842W WO 2020195899 A1 WO2020195899 A1 WO 2020195899A1
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WIPO (PCT)
Prior art keywords
frequency
feature points
detection device
vehicle
processing unit
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Ceased
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PCT/JP2020/010842
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English (en)
Japanese (ja)
Inventor
俊輔 柴田
齋藤　隆
寛之 森
山田　公一
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Denso Corp
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Denso Corp
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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 for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring 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 or mobility of a limb
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements

Definitions

  • This disclosure relates to a biological information detection device.
  • a technique for removing the noise when the noise is superimposed on the biological signal is known.
  • a piezoelectric element arranged in the vicinity of a seat mounting bracket is described from the time waveform of a signal detected by a piezoelectric element embedded in a portion of the backrest of a seat near the occupant's heart.
  • a technique for subtracting the time waveform of the signal detected in is described. By doing so, it is possible to remove vehicle noise included in the biological signal detected by the former piezoelectric element.
  • the heart rate of the passenger is calculated from the biological signal from which the vehicle noise is removed.
  • An object of the present disclosure is to suppress the influence of noise superimposed on the output of a sensor that detects a biological signal by a method different from using a sensor arranged at a position where a biological signal cannot be detected.
  • the biological information detection device is a characteristic acquisition unit that acquires a transition of frequency characteristics indicating the relationship between the frequency and the intensity of a biological signal input from a biological activity sensor that detects human biological activity. And, based on the extraction unit that extracts a plurality of feature points that are a pair of frequency and intensity from the frequency characteristics, and the amount of time variation of the plurality of frequencies corresponding to the plurality of feature points, the plurality of features.
  • a specific unit that specifies a feature point that reflects the biological information that is information on the biological activity
  • a calculation unit that calculates the biological information based on the feature point specified by the specific unit. Be prepared.
  • a plurality of feature points are extracted as candidates for feature points that reflect biological information that is information on biological activity.
  • the target feature point is specified based on the amount of time variation of the plurality of frequencies corresponding to the plurality of feature points.
  • the biological information is calculated based on the specified feature points.
  • the frequency of the feature point reflecting the biological information is different from the frequency of the feature point reflecting the noise in the form of transition with time. Therefore, the biological information detection device as described above can calculate biological information from the biological signal on which noise is superimposed while suppressing the influence of noise.
  • 6 is a flowchart of processing executed by the processing unit in the sixth embodiment. It is a graph which shows the movement form of a feature point. It is a graph which shows the transition of the frequency of a feature point with time. It is a graph which shows the frequency interval after being divided.
  • the biometric information detection system calculates and outputs the heart rate of a occupant, that is, a person 2 who is mounted on a vehicle and sits in the driver's seat of the vehicle as biometric information.
  • the biological information of the person 2 means the information related to the biological activity of the person 2.
  • This biometric information detection system includes a biometric information detection device 4, a transmitter 11, a transmitting antenna 12, a receiving antenna 13, and a receiver 14.
  • the transmitter 11 outputs a transmission signal of a predetermined frequency (for example, a frequency in the 900 MHz band) to the transmission antenna 12.
  • the transmitting antenna 12 is arranged on the front side of the instrument panel in the vehicle interior in the vehicle traveling direction with respect to the driver's seat.
  • the transmitting antenna 12 transmits a radio wave signal corresponding to the transmission signal from the transmitter 11 toward the upper body of the body of the person 2 seated in the driver's seat.
  • the receiving antenna 13 is arranged so as to face the transmitting antenna 12 with the person 2 and the driver's seat in between.
  • the receiving antenna 13 has a configuration capable of receiving a radio wave signal transmitted from the transmitting antenna 12.
  • the receiving antenna 13 corresponds to a biological activity sensor.
  • the receiver 14 amplifies and outputs the radio wave signal received by the receiving antenna 13. Specifically, the receiver 14 amplifies the radio wave signal received by the receiving antenna 13 and outputs it as the biological signal P1 to the biological information detection device 4.
  • the biological information detection device 4 includes an input unit 41, a storage unit 42, an output unit 43, and a processing unit 44.
  • the input unit 41 outputs the biological signal P1 which is an analog signal input from the receiver 14 to the processing unit 44 as a digital signal.
  • the storage unit 42 includes a RAM, a ROM, a writable non-volatile storage medium, and the like.
  • the RAM, ROM, and writable non-volatile storage medium are all non-transitional substantive storage media.
  • the output unit 43 outputs the signal input from the processing unit 44 to an external device of the biological information detection device 4.
  • the external device of the output destination may be, for example, an in-vehicle navigation device that provides route guidance or the like, an in-vehicle data communication module that communicates with the outside of the vehicle, or a mobile communication terminal carried by the person 2.
  • the processing unit 44 is a device that executes processing according to a program recorded in the ROM of the storage unit 42 or a writable non-volatile storage medium, and uses the RAM of the storage unit 42 as a work area at the time of execution. To do.
  • the transmitter 11 outputs a transmission signal having a predetermined frequency to the transmission antenna 12. Then, the transmitting antenna 12 transmits a radio wave signal corresponding to the transmission signal from the transmitter 11 toward the driver's seat and the person 2.
  • a part of this radio signal passes through the body of person 2 and is received by the receiving antenna 13.
  • the body of the person 2 functions as a dielectric with respect to the radio wave signal. Therefore, when the radio wave signal is transmitted through the body of the person 2, a dielectric loss occurs in the electric field strength of the radio wave signal.
  • the shape of the heart 2a changes as it expands and contracts. Therefore, as shown in FIG. 1, in the radio wave signal W1 that passes through the heart 2a and reaches the receiving antenna 13, the dielectric loss that occurs in the electric field strength changes according to the heartbeat of the heart 2a.
  • the intensity of the radio wave signal received by the receiving antenna 13 includes a component that changes in synchronization with the heartbeat according to the heartbeat of the heart 2a. Therefore, the level of the electric signal output from the receiving antenna 13 to the receiver 14 by receiving the radio wave signal includes a component that fluctuates in synchronization with the heartbeat according to the heartbeat of the heart 2a.
  • the noise generated in the vehicle includes noise caused by vibration according to the traveling of the vehicle. This type of noise is generated less when the vehicle is stopped than when the vehicle is running. Further, the amount of such type of noise generated increases as the traveling speed of the vehicle increases. Further, as the noise generated in the vehicle, there is noise caused by the shaking of the body of the person 2.
  • the receiving antenna 13 When the radio wave signal is received in this way, the receiving antenna 13 outputs a received signal whose signal strength changes depending on the electric field strength of the received radio wave signal.
  • the receiver 14 outputs the biological signal P1 in which the received signal input from the receiving antenna 13 is amplified to the biological information detection device 4.
  • the input unit 41 of the biological information detection device 4 has a living body whose signal strength changes with the passage of time.
  • the signal P1 is continuously input.
  • noise unrelated to the biological information is superimposed on the biological signal P1 representing the heart rate, which is the biological information.
  • the input unit 41 outputs a digital signal having a value corresponding to the signal strength of the input biological signal P1 to the processing unit 44. Therefore, information on the intensity change of the biological signal P1 with the passage of time is input to the processing unit 44.
  • the information on the intensity change of the biological signal P1 with the passage of time is a time waveform, that is, a waveform in the time domain. More specifically, this time waveform contains information on the signal strength at each of a plurality of discrete sampling timings separated by a predetermined time interval. The value of the time waveform acquired at each of the plurality of sampling timings corresponds to one sample.
  • the processing unit 44 executes the processing shown in FIG. 2 by reading and executing a predetermined program from the ROM of the storage unit 42 or the writable non-volatile storage medium while the vehicle is running or stopped.
  • the processing unit 44 calculates the heart rate of the person 2 based on the time waveform of the biological signal P1 by the processing of FIG.
  • step S100 the processing unit 44 acquires a plurality of continuous samples in the time waveform of the biological signal P1 as a preparatory process.
  • the number of samples acquired here is, for example, one less than the number of samples required for the discrete Fourier transform described later.
  • the processing unit 44 repeatedly executes the loops of steps S110 to S180. In each of the loops, the processing unit 44 acquires the latest value of the time waveform of the biological signal P1 for one sample in step S110.
  • step S130 the processing unit 44 performs a discrete Fourier transform using the latest predetermined number of samples of the time waveform of the biological signal P1.
  • the predetermined number is a plurality, for example, 40.
  • a frequency characteristic indicating the relationship between the frequency and the intensity of the biological signal P1 in the time interval in which the predetermined number of samples are acquired can be obtained.
  • FIG. 3 shows a frequency characteristic 60 as an example of such a frequency characteristic.
  • the horizontal axis represents the frequency and the vertical axis represents the signal strength.
  • the intensity is maximized.
  • These points are characteristically strong intensities in the frequency domain.
  • the strong intensity at the frequency corresponding to such a point may reflect the heart rate of the heart 2a of the person 2 and may also reflect the noise superimposed on the biological signal P1. is there. If the heart rate is calculated based on the frequency with the highest intensity in the entire frequency range in the frequency characteristics as in the past, the heart rate is falsely detected when the noise intensity is greater than the heart rate intensity. Will occur. In order to reduce such false positives, the following processing is performed.
  • step S140 the processing unit 44 extracts a plurality of feature points 61 to 66 from the frequency characteristic 60 at the latest time point obtained in the immediately preceding step S130.
  • the extraction method of the feature points 61 to 66 will be described in detail with reference to FIG.
  • the processing unit 44 extracts one point having the maximum intensity of the frequency characteristic 60 as a feature point within each range of the plurality of frequency sections a to f. As a result, the same number of feature points as the frequency sections a to f are extracted.
  • the maximum intensity means that the intensity compared in the same frequency section within the frequency characteristics at the same time point is the maximum.
  • the frequency characteristics are newly created with the passage of time. As a result, the frequency characteristics fluctuate over time.
  • the intensity comparisons made to extract feature points are only comparisons at the same time point.
  • the points where the intensities are maximum at the same time point in the frequency sections a, b, c, d, e, and f are points 61, 62, 63, 64, 65, and 66, respectively. Therefore, these plurality of points 61 to 66 are extracted as feature points. Each of these plurality of feature points 61 to 66 is a pair of two pieces of information, frequency and intensity.
  • the plurality of frequency sections a to f are already determined at the time of completion of manufacturing of the biometric information detection system so that the ranges are different from each other and the ranges do not partially overlap.
  • the plurality of frequency sections a to f may all have the same frequency width or may be different from each other.
  • the frequency width of a certain frequency section is a value obtained by subtracting the lower limit value from the upper limit value of the frequency section.
  • each of the plurality of frequency sections a to f may be a fixed range that does not fluctuate with time, or may be a range that fluctuates with time.
  • the plurality of frequency sections a to f may form one large continuous range as a whole, or may form a discrete range that is not continuous as a whole.
  • the frequencies that do not belong to any of the plurality of frequency sections a to f are frequencies excluded from the range of feature point extraction targets.
  • step S150 the processing unit 44 calculates the amount of time-dependent fluctuation of the plurality of feature points calculated in the immediately preceding step S140.
  • the amount of fluctuation with time means the amount of fluctuation with the passage of time.
  • the loops of steps S110 to S180 are repeatedly executed. Therefore, every time the biological signal P1 is newly acquired in step S110, the frequency characteristic at the latest time point based on the biological signal P1 is calculated in step S130, and a plurality of feature points based on the frequency characteristic at the latest time point in step S140. Is newly extracted.
  • step S150 the processing unit 44 determines the amount of frequency variation of the plurality of feature points 61 to 66 over time based on the plurality of feature points 61 to 66 at the latest time point and the plurality of feature points 61 to 66 at the time before that. calculate.
  • the processing unit 44 identifies the feature points at different time points belonging to the same frequency section as the same feature points. Therefore, the feature points extracted in the frequency section a at a certain time point and the feature points extracted in the same frequency section a at another time point are considered to be the same feature points.
  • the calculated amount of time-dependent fluctuation is the amount of time-dependent fluctuation of the frequency of the same feature point at different time points.
  • the processing unit 44 ranks a plurality of frequency sections within the same time point in descending order of frequency. Then, the processing unit 44 identifies the frequency sections having the same rank at different time points as the same frequency section.
  • the frequency transition of each of the feature points 61 to 66 in the frequency sections a to f can be obtained.
  • the processing unit 44 calculates the amount of time-dependent fluctuation of each frequency of the feature points 61 to 66 based on such a frequency transition. Specifically, for each of the feature points 61 to 66, the processing unit 44 determines the frequency variation (for example, standard deviation) at three or more time points including the latest time point of the feature point, and the amount of time variation of the feature point. May be. Alternatively, for each of the feature points 61 to 66, the processing unit 44 may use the absolute value of the frequency difference between the latest time point of the feature point and the time point immediately before the feature point as the time-dependent fluctuation amount of the feature point.
  • the processing unit 44 may bypass step S150 and subsequent steps and immediately return to step S110 from step S140.
  • step S160 the processing unit 44 selects all the frequencies whose temporal fluctuation amount is larger than the cutoff value from the temporal fluctuation amounts of the frequencies of the plurality of feature points 61 to 66 calculated in the immediately preceding step S150.
  • the cutoff value may be, for example, 0, or may be a value slightly larger than 0.
  • a range larger than the cutoff value corresponds to the allowable range.
  • the intensity may always be a monotonous increase function or a monotonous decrease function of the frequency. In such a case, no noise or heartbeat is generated in the frequency section. Therefore, it is desirable to exclude the feature points extracted here from the target of heart rate calculation.
  • the frequency of such a feature point is basically fixed at the boundary of the frequency section. Therefore, when the frequency section does not change with time, such a feature point can be excluded by setting the cutoff value to 0 or a value slightly larger than 0 as described above.
  • step S170 the processing unit 44 identifies the feature point selected in the immediately preceding step S160, which has the smallest amount of fluctuation with time. It is very likely that the feature points identified in this way are feature points that reflect the heart rate of the heart 2a. This is because the feature points that reflect the heart rate of the heart 2a are much more likely to have a stable frequency over time than the feature points that reflect noise. Therefore, by doing so, the heartbeat of the heart 2a can be calculated with high accuracy.
  • the processing unit 44 calculates the heart rate based on the frequency of the feature point specified in the immediately preceding step S170. Specifically, the heart rate expressed in bpm units is obtained by multiplying the value expressed in Hz units of the frequency by 60. bpm is an abbreviation for beat per minute, and is a unit representing the heart rate per minute. For example, if the frequency of the feature point is 1 Hz, the heart rate is 60 bpm as a result of multiplying it by 60.
  • step S180 the processing unit 44 outputs the heart rate calculated in this way to the output unit 43 as digital data.
  • the output unit 43 outputs the digital data of the heart rate input from the processing unit 44 in this way to an external device of the biological information detection device 4.
  • an external device for example, it may be output to an arousal level detection device that detects the arousal level of the driver based on the heart rate of the person 2.
  • each time one sample of the biological signal P1 is acquired, the latest frequency characteristic at that time is acquired. Then, each time the latest frequency characteristic is acquired, the feature point reflecting the heart rate is specified based on the amount of time fluctuation of the frequency of the plurality of feature points, and the heart rate is determined based on the specified feature point. Will be done.
  • the processing unit 44 identifies a feature point that reflects the heart rate from the plurality of feature points based on the amount of time fluctuation of a plurality of frequencies corresponding to the plurality of feature points 61 to 66. , Calculate the heart rate based on the identified feature points.
  • the frequency of the feature point reflecting the heart rate differs from the frequency of the feature point reflecting the noise in the form of transition over time.
  • the frequency of the feature point reflecting the heart rate is more stable over time than the frequency of the feature point reflecting the heart rate. Therefore, with the configuration and operation of the biological information detection device 4 as described above, the heart rate, which is biological information, can be calculated from the biological signal P1 on which noise is superimposed while suppressing the influence of noise.
  • the processing unit 44 is one in which the intensity of the frequency characteristic becomes maximum within the respective ranges of the plurality of frequency sections a, b, c, d, e, and f different from each other at the same time point.
  • the points are extracted as one feature point 61 to 66. By doing so, the extraction process of the feature points becomes simpler than the case where the points having the maximum intensity in the frequency domain are extracted by a complicated process. As a result, the processing load of the processing unit 44 is reduced.
  • the processing unit 44 determines, among the plurality of feature points, any of the feature points whose aging fluctuation amount is within a predetermined allowable range, that is, any of the feature points whose aging fluctuation amount is larger than the cutoff value. Finally, it is identified as a feature point that reflects the heart rate. By doing so, it is possible to exclude the feature points that are known in advance to be unnecessary for extracting the feature points that reflect the heart rate.
  • the processing unit 44 functions as a characteristic acquisition unit by executing step 130, functions as an extraction unit by executing step 140, and executes steps 150, 160, and 170. Functions as a specific part. Further, by executing step 180, it functions as a calculation unit.
  • FIG. 5 the processing content of the processing unit 44 is changed from that of the first embodiment.
  • the processing unit 44 of this embodiment executes the processing of FIG. 5 instead of the processing of FIG.
  • the steps having the same processing contents in FIGS. 2 and 5 are assigned the same step numbers. Of the steps of FIG. 5, those having the same step numbers as those of FIG. 2 will be omitted or simplified.
  • step S162 the processing unit 44 selects all the feature points whose frequency fluctuation amount with time is equal to or less than the upper limit value among the feature points selected as being larger than the cutoff value in the immediately preceding step S160.
  • This upper limit is set from the viewpoint that characteristic points whose frequency fluctuations with time are too large should be forcibly excluded from those used for calculating heart rate.
  • the upper limit value may be set as a fixed value in advance based on the experimental result of the amount of fluctuation of the frequency with time according to the fluctuation of the heart rate. Alternatively, the upper limit value may increase as the traveling speed of the vehicle increases. In the present embodiment, a range larger than the cutoff value and not more than the upper limit corresponds to the allowable range.
  • This upper limit value may be set as a fixed value in advance based on the experimental result of the amount of fluctuation of the frequency with time according to the fluctuation of the heart rate. Alternatively, this upper limit value may increase as the traveling speed of the vehicle increases.
  • step S164 the processing unit 44 determines whether or not one or more feature points have been selected in the immediately preceding step S162. If one or more feature points are selected, the process proceeds to step S170, and if no feature points are selected, the process proceeds to step S166.
  • the processing unit 44 outputs an abnormal signal in step S166.
  • an abnormal signal indicating that an abnormality has occurred is output to the outside of the biological information detection device 4.
  • the output destination of the abnormality signal may be, for example, a notification device that notifies the occupants of the vehicle by sound or light based on the reception of the abnormality signal.
  • the output destination of the abnormality signal may be, for example, a communication device that transmits the abnormality signal and the vehicle identification number to a server outside the vehicle based on the reception of the abnormality signal.
  • step S170 the processing unit 44 specifies, among the feature points selected in the immediately preceding step S162, the one having the smallest amount of fluctuation with time, as in the first embodiment.
  • the processing unit 44 outputs an abnormal signal indicating that an abnormality has occurred when none of the plurality of feature points has a time-dependent fluctuation amount within a predetermined allowable range. In this way, it is possible to notify the outside of the biometric information detection device 4 that it is abnormal. Further, in the present embodiment, the same effect as that of the first embodiment can be obtained by the configuration and operation realized in the same manner as in the first embodiment.
  • the processing unit 44 functions as a characteristic acquisition unit by executing step 130, functions as an extraction unit by executing step 140, and executes steps 150, 160, and 170. Functions as a specific part. Further, by executing step 180, it functions as a calculation unit, and by executing step S166, it functions as an abnormality output unit.
  • the processing of FIG. 6 will be described below.
  • the processing unit 44 executes this processing while the vehicle is stopped or running.
  • step S200 the processing unit 44 acquires a plurality of continuous samples in the time waveform of the biological signal P1 as a preparatory process, as in step S100 of the first embodiment.
  • the processing unit 44 determines in step S300 whether or not the vehicle is stopped. Whether or not the vehicle is traveling is determined based on, for example, a detection signal output from a vehicle speed sensor (not shown). When the processing unit 44 determines that the vehicle is stopped, the processing unit 44 proceeds to step S400. Further, when the processing unit 44 determines that the vehicle is not stopped, that is, that the vehicle is running, the processing unit 44 proceeds to step S500.
  • step S400 stop processing is performed. After the stop processing, the processing unit 44 returns to step S300.
  • step S500 the traveling process is performed. After the traveling process, the processing unit 44 returns to step S300. In this way, the processing unit 44 repeats step S400 while the vehicle is stopped, and repeats step S500 while the vehicle is running.
  • FIG. 7 shows the details of the stop processing.
  • the processing unit 44 first acquires the latest value of the time waveform of the biological signal P1 for one sample in step S410.
  • the processing unit 44 performs a discrete Fourier transform using the latest predetermined number of samples of the time waveform of the biological signal P1.
  • the predetermined number is a plurality, for example, 40.
  • the processing unit 44 specifies the frequency at which the intensity is maximum and maximum in the frequency characteristics acquired in the immediately preceding step S430. That is, the frequency that realizes the strongest peak, that is, the maximum peak frequency is specified.
  • the processing unit 44 calculates the heart rate based on the frequency specified in the immediately preceding step S440 in the same manner as in step S180 of the first embodiment. Further, in step S440, the processing unit 44 outputs the heart rate calculated in this way to the output unit 43 as digital data.
  • the output unit 43 outputs the digital data of the heart rate input from the processing unit 44 in this way to an external device of the biometric information detection device 4 as in the first embodiment.
  • the reason why the heart rate is acquired by such a method when the vehicle is stopped is that when the vehicle is stopped, the noise superimposed on the biological signal P1 is less and smaller than when the vehicle is running.
  • the noise superimposed on the biological signal P1 is small and small, it is highly possible that the maximum peak frequency that realizes the strongest peak reflects the heart rate.
  • step S450 the processing unit 44 determines the upper limit value.
  • This upper limit value is used in the traveling process of step S500.
  • This upper limit is the maximum peak frequency corresponding to the heart rate calculated in step S440 immediately before, and the maximum peak corresponding to the heart rate calculated in step S440 before that and after the start of operation of the biological information detection device 4. Calculated based on frequency.
  • the processing unit 44 is a value obtained by multiplying the variation (for example, standard deviation) of the maximum peak frequency corresponding to the heart rate at three or more time points including the heart rate calculated in the immediately preceding step S440 by the coefficient K. May be the upper limit value.
  • the coefficient K is multiplied by the absolute value of the difference between the maximum peak frequency corresponding to the heart rate calculated in the immediately preceding step S440 and the maximum peak frequency corresponding to the heart rate calculated in the previous step S440.
  • the value may be an upper limit value.
  • the value of the coefficient K may be 1 or more, 1.5 or more, or 2 or more.
  • the processing unit 44 sets a plurality of frequency sections.
  • the plurality of frequency sections set here are used in the traveling process of step S500. These plurality of frequency sections correspond to the maximum peak frequency corresponding to the heart rate calculated in the immediately preceding step S440 and the heart rate calculated in step S440 before that and after the start of operation of the biological information detection device 4. Calculated based on the maximum peak frequency. Further, these plurality of frequency sections do not partially overlap each other. Further, these plurality of frequency sections are arranged continuously. Therefore, the sum of these plurality of frequency sections is one continuous frequency range.
  • the processing unit 44 sets the representative, maximum value, and minimum value of the maximum peak frequency corresponding to all the heart rates calculated in step S440 in the period from the start of operation of the biological information detection device 4 to the present time. Based on this, a plurality of frequency sections are set.
  • the representative value may be an average value, a median value, or an average value of only the maximum value and the minimum value.
  • the processing unit 44 determines the frequency width of each of the plurality of frequency sections based on the maximum value and the minimum value. For example, the value obtained by multiplying the difference between the maximum value and the minimum value by a coefficient of 1.5 or more may be used as the frequency width of each of the plurality of frequency sections. Further, for example, the value obtained by multiplying the difference between the maximum value and the minimum value by a coefficient of 2 or more may be used as the frequency width of each of the plurality of frequency sections. In this case, the larger the difference between the maximum value and the minimum value, the larger the frequency width.
  • the processing unit 44 determines the values at both ends of each frequency section so that the median value in a specific one frequency section predetermined among the plurality of frequency sections matches the representative value. Therefore, as the representative value increases, the values at both ends of each frequency section also increase. Further, as the representative value decreases, the values at both ends of each frequency section also decrease.
  • step S460 the current stop processing is completed, and the processing returns to step S300.
  • FIG. 8 shows the details of the traveling process.
  • the steps having the same processing contents are given the same step numbers.
  • those having the same step numbers as those of FIG. 5 will be omitted or simplified.
  • the processing unit 44 first acquires the latest value of the time waveform of the biological signal P1 for one sample in step S110. Subsequently, in step S130, the processing unit 44 performs a discrete Fourier transform using the latest predetermined number of samples of the time waveform of the biological signal P1.
  • the processing unit 44 extracts a plurality of feature points from the latest frequency characteristic 60 obtained in the immediately preceding step S130 in step S540 and step S540.
  • the processing unit 44 uses a plurality of frequency sections as in the first and second embodiments. However, as the plurality of frequency sections, the plurality of frequency sections set in step S460 of the last executed stop processing are adopted.
  • step S150 the amount of time-dependent fluctuation of a plurality of feature points calculated in the immediately preceding step S140 is calculated as in the first and second embodiments.
  • the processing unit 44 selects all the frequencies whose temporal fluctuation amount is larger than the cutoff value from the temporal fluctuation amounts of the frequencies of the plurality of feature points calculated in the immediately preceding step S150.
  • step S562 the processing unit 44 selects all the feature points whose frequency fluctuation amount with time is equal to or less than the upper limit value among the feature points selected as being larger than the cutoff value in the immediately preceding step S160. elect. However, the processing unit 44 adopts the upper limit value set in step S450 of the last executed stop processing as the upper limit value used here.
  • the processing contents of the following steps S164, S166, S170, and S180 are the same as those in the second embodiment.
  • the processing unit 44 ends the current traveling process after step S166 and after step S180. After that, the process returns to step S300.
  • the processing unit 44 By performing such processing by the processing unit 44, for example, when the vehicle is stopped where noise is unlikely to occur, the maximum peak heart rate that is very likely to reflect the heart rate by repeating steps S450 and S450 is very high.
  • the upper limit and frequency interval are repeatedly set based on the number.
  • the heart rate is calculated in the running process based on the upper limit value and the frequency section set in this way. Therefore, the upper limit value and the frequency interval can be set with high accuracy, and the upper limit value and the frequency interval suitable for the time fluctuation of the heart rate to be calculated can be set with high accuracy. Further, in the present embodiment, the same effect as that of the first and second embodiments can be obtained by the configuration and operation realized in the same manner as in the first and second embodiments.
  • the processing unit 44 functions as a characteristic acquisition unit by executing step 130, functions as an extraction unit by executing step 140, and executes steps 150, 160, and 170. Functions as a specific part. Further, the execution of step 180 functions as a calculation unit, the execution of step S166 functions as an abnormal output unit, and the execution of step S450 functions as an allowable range determination unit, and the execution of step 460. Functions as a section setting unit.
  • FIG. 9 the processing content of the processing unit 44 is changed from that of the first embodiment.
  • the processing unit 44 of this embodiment executes the processing of FIG. 9 instead of the processing of FIG.
  • the steps having the same processing contents in FIGS. 2 and 5 are assigned the same step numbers. Of the steps of FIG. 9, those having the same step numbers as those of FIG. 2 will be omitted or simplified.
  • step S185 the processing unit 44 calculates whether or not the vehicle speed range of the vehicle has changed.
  • the vehicle speed range refers to each area when the speed is divided into a plurality of areas. That is, by dividing the speed into a plurality of regions, a plurality of vehicle speed ranges are set. These plurality of vehicle speed ranges do not partially overlap each other. Further, these plurality of vehicle speed ranges are continuously arranged. Therefore, the sum of these plurality of vehicle speed ranges is one continuous vehicle speed range.
  • Three vehicle speed ranges may be set: a low vehicle speed range higher than 0 km / h and 30 km / h or less, a medium vehicle speed range higher than 30 km / h and 80 km / h or less, and a high vehicle speed range higher than 80 km / h. ..
  • the processing unit 44 determines that the vehicle speed range of the vehicle has changed when the vehicle speed range to which the current vehicle speed belongs is different from the vehicle speed range to which the vehicle speed belongs in the previous step S185 among the plurality of vehicle speed ranges.
  • the processing unit 44 determines that the vehicle speed range of the vehicle has not changed when the vehicle speed range to which the current vehicle speed belongs and the vehicle speed range to which the vehicle speed belongs in the previous step S185 are the same among the plurality of vehicle speed ranges. .. If the execution opportunity of step S185 this time is the execution opportunity of the first step S185 after the activation of the biological information detection device 4, the processing unit 44 determines that the vehicle speed range of the vehicle has not changed.
  • step S190 the processing unit 44 changes the plurality of frequency sections from the current setting to a new setting.
  • a plurality of frequency sections are assigned in advance for each vehicle speed range, and the processing unit 44 uses this to set a plurality of frequency sections assigned to the vehicle speed range to which the current vehicle speed belongs.
  • the number of frequency sections to be set may be set in the medium vehicle speed range more than in the low vehicle speed range, and in the high vehicle speed range more than in the medium vehicle speed range.
  • the section width of each of the plurality of frequency sections to be set may be set to be shorter in the medium vehicle speed range than in the low vehicle speed range and shorter in the high vehicle speed range than in the medium vehicle speed range.
  • the reason for doing this is as follows. According to the inventor's studies and experiments, the higher the traveling speed of the vehicle, the larger the number of feature points that reflect noise, and as a result, the smaller the frequency difference between the feature points. Therefore, as the traveling speed of the vehicle increases, the number of the plurality of frequency sections is increased and the width of the frequency sections is narrowed, so that the increasing feature points and the feature points reflecting the heart rate can be more reliably distinguished.
  • step S190 the processing unit 44 returns to step S110.
  • the number of feature points extracted in step S140 before the change is different from the number of feature points extracted in step S140 after the change. Therefore, the feature points cannot be identified before and after the change of the frequency section. Therefore, the processing unit 44 does not use the feature points extracted before the change in step S150 after the frequency section is changed, but uses only the feature points extracted in step S140 after the change. Then, the amount of frequency fluctuation with time is calculated. Further, the processing unit 44 may proceed to step S185 by bypassing steps S150 to S180 only once after step S140 immediately after executing step S190.
  • the processing unit 44 functions as a characteristic acquisition unit by executing step 130, functions as an extraction unit by executing step 140, and executes steps 150, 160, and 170. Functions as a specific part. Further, by executing step 180, it functions as a calculation unit, and by executing step S190, it functions as a section setting unit.
  • step S140 in FIGS. 2 and 5 is changed from the first and second embodiments.
  • the contents of other processes are the same as those in the first and second embodiments.
  • step S140 the processing unit 44 of the present embodiment extracts a plurality of feature points 61 to 66 from the frequency characteristics 60 at the latest time point obtained in the immediately preceding step S130 in the first and second embodiments. It is the same as the form.
  • the processing unit 44 does not extract 61 to 66 using a plurality of frequency sections. As shown in FIG. 10, the processing unit 44 searches for the maximum value of the intensity in the frequency domain, and sets a plurality of pairs of intensity and frequency corresponding to the maximum value obtained as a result as a plurality of feature points 61 to 66. Extract. By doing so, there is a high possibility that the feature points reflecting the heart rate can be extracted without missing them.
  • the gradient method can be used.
  • the intensities are read out one by one in order from the lower frequency to the higher frequency according to the frequency characteristics, and when the intensities increase and then decrease, the intensity is increased and then decreased.
  • the point (that is, the point before descending) may be regarded as the point corresponding to the maximum value.
  • the processing unit 44 functions as a characteristic acquisition unit by executing step 130, functions as an extraction unit by executing step 140, and executes steps 150, 160, and 170. Functions as a specific part. Further, by executing step 180, it functions as a calculation unit, and by executing step S166, it functions as an abnormality output unit.
  • FIG. 11 the processing content of the processing unit 44 is changed from that of the second embodiment.
  • the processing unit 44 of this embodiment executes the processing of FIG. 11 instead of the processing of FIG.
  • the steps having the same processing contents in FIGS. 5 and 11 are assigned the same step numbers. Of the steps of FIG. 11, those having the same step numbers as those of FIG. 2 will be omitted or simplified.
  • step S164 the processing unit 44 subsequently proceeds to step S165 to determine whether or not a plurality of frequency sections can be reset.
  • Whether or not it is possible to reset a plurality of frequency sections is determined by whether or not the minimum value of the frequency width of the current plurality of frequency sections is less than the threshold value.
  • This threshold value is preset to a value such that if the frequency width is further narrowed, the extraction of feature points will be greatly hindered. If it is determined that the resetting is not possible, the process proceeds to step S166. If it is determined that the resetting is possible, the process proceeds to step S167.
  • step S167 the processing unit 44 resets a plurality of frequency sections. More specifically, increase the number of frequency sections. At the same time, the average value of the frequency widths of the plurality of frequency sections after the resetting is made smaller than the average value of the frequency widths of the plurality of frequency sections immediately before the resetting.
  • the processing unit 44 divides each of the plurality of frequency sections immediately before resetting into two equal parts. This doubles the number of frequency sections. Further, the frequency width of each frequency section after resetting becomes 1/2 of the frequency section of the division source.
  • step S168 the processing unit 44 uses the plurality of frequency sections reset to the frequency characteristics calculated in step S130 a plurality of times in the past, and sets the feature points in each frequency section in the same manner as in step S140. ,Extract. After step S168, the process proceeds to step S140.
  • step S168 by extracting feature points in step S168 using a plurality of new frequency sections for a plurality of past frequency characteristics, the frequency of each feature point fluctuates with time even in step S150 immediately after step S168. The amount can be calculated.
  • the feature points in each of the plurality of frequency sections A, B, C, and D are the feature points 71, 72, 73, and 74 in the step S140 of the time point ta.
  • the feature point 72 is a feature point that reflects the heart rate.
  • step S140 of the next time point tb the frequency of the feature point 73 corresponding to noise fluctuates as shown by an arrow 81, and the feature point 73 moves from the frequency section C to the frequency section D. ..
  • the heart rate is calculated based on the frequency of the feature point 72 in step S180.
  • step S140 the feature point 72 in the frequency section B is not extracted. This is because the feature point 73 has a higher strength than the feature point 72. As a result, as shown in FIG. 13, the variation of the feature points in the frequency section B becomes large.
  • step S162 it is determined that none of the feature points whose aging fluctuation amount is equal to or less than the upper limit value disappears, and as a result, none of them could be selected in step S164. Therefore, in this case, the processing unit 44 proceeds to step S165. In step S165, if the frequency section has not been reset in step S167, the processing unit 44 determines that the frequency section can be reset.
  • step S167 the processing unit 44 resets the frequency section as described above.
  • the plurality of frequency sections A, B, C, and D are reset to the plurality of frequency sections A1, A2, B1, B2, C1, C2, D1, and D2.
  • the feature point 72 reflecting the heart rate is separated from the feature point 73 in the frequency section B2. , It is extracted as a feature point of the frequency section B1.
  • the processing unit 44 divides a plurality of frequency sections in step S167 when none of the plurality of feature points has the time-dependent fluctuation amount within a predetermined allowable range. Then, the processing unit 44 reflects biometric information on the feature points in which the amount of fluctuation with time is within the permissible range among the plurality of frequency sections A1, A2, B1, B2, C1, C2, D1 and D2 after being divided. Identify as a feature point.
  • noise information is entered in the same frequency section as the feature point 72 that reflects the heart rate, and as a result, there are no feature points whose aging fluctuation amount is within a predetermined allowable range. Even in such a case, by dividing a plurality of frequency sections and resetting the frequency sections as described above, it is possible to extract feature points that reflect the heart rate within the frequency range narrowed as a result of the division. The sex becomes high. Further, in the present embodiment, the same effect as that of the second embodiment can be obtained by the configuration and operation realized in the same manner as in the second embodiment.
  • the processing unit 44 functions as a characteristic acquisition unit by executing step 130, functions as an extraction unit by executing step 140, and executes steps 150, 160, and 170. Functions as a specific part. Further, by executing step 180, it functions as a calculation unit, by executing step S166, it functions as an abnormal output unit, and by executing step S167, it functions as a division unit.
  • the sensor when it is described that the external environment information of the vehicle (for example, the humidity outside the vehicle) is acquired from the sensor, the sensor is abolished and the external environment information is received from the server or the cloud outside the vehicle. It is also possible to do. Alternatively, it is possible to abolish the sensor, acquire related information related to the external environmental information from a server or cloud outside the vehicle, and estimate the external environmental information from the acquired related information. In particular, when a plurality of values are exemplified for a certain amount, it is also possible to adopt a value between the plurality of values unless otherwise specified or when it is clearly impossible in principle. .. Further, in each of the above embodiments, when referring to the shape, positional relationship, etc.
  • processing unit 44 and its method described in the present disclosure are dedicated computers provided by configuring a processor and memory programmed to perform one or more functions embodied by a computer program. May be realized by.
  • the processing unit 44 and its method described in the present disclosure may be realized by a dedicated computer provided by configuring the processor with one or more dedicated hardware logic circuits.
  • the processing unit 44 and its method described in the present disclosure are a combination of a processor and memory programmed to perform one or more functions and a processor composed of one or more hardware logic circuits. It may be realized by one or more dedicated computers configured by.
  • the computer program may be stored in a computer-readable non-transitional tangible recording medium as an instruction executed by the computer.
  • one receiving antenna 13 is provided for one transmitting antenna 12.
  • a plurality of receiving antennas may be provided for one transmitting antenna 12.
  • Each of these plurality of receiving antennas has the same function as the receiving antenna 13. Then, the signals received by these plurality of receiving antennas at the same time may be input to the input unit 41 of the biological information detection device 4 as a plurality of biological signals via the receiver 14, respectively.
  • the processing unit 44 may calculate the feature points as described above for the frequency characteristics as a result of the multiplication in this way. In that case, the processing unit 44 performs processing on the calculated feature points in the same manner as in each of the above-described embodiments.
  • the noise frequency fluctuates more than the heartbeat frequency depending on the position of the receiving antenna. Therefore, due to such multiplication, the intensity of the feature points other than the feature points reflecting the heartbeat is greatly attenuated. Therefore, the feature points that reflect the heartbeat appear emphasized.
  • the processing unit 44 selects a plurality of frequency characteristics derived from different receiving antennas whose SN ratio is larger than the reference value, multiplies only the selected frequency characteristics, and uses the multiplication result to obtain feature points. It may be extracted.
  • the signal-to-noise ratio can be, for example, a value obtained by dividing the maximum value of the intensity in the frequency characteristic by the average value of the intensity in the frequency excluding the frequency at which the intensity indicates the maximum value.
  • the reference value may be a fixed value, or may be, for example, the lowest SN ratio among a plurality of frequency characteristics derived from different receiving antennas.
  • the processing unit 44 applies a filter for removing or reducing components other than a predetermined frequency band including the frequency of the heartbeat to the biological signal P1, and is based on the biological signal obtained from the filter.
  • the frequency characteristics may be calculated.
  • the filter may be a low-pass filter or a high-pass filter.
  • the processing unit 44 identifies a feature point that reflects the heart rate from the plurality of feature points each time based on the amount of time-dependent fluctuation of the plurality of feature points. However, if the processing unit 44 identifies a feature point that reflects the heart rate at a certain point in time, then even if the feature point that belongs to the same frequency section as the feature point is specified as a feature point that reflects the heart rate. Good.
  • Modification example 4 The modification of the second embodiment to the first embodiment can be similarly applied to the fourth embodiment.
  • the processing unit 44 sets both the upper limit value and the frequency section based on the calculation result of the heart rate when the vehicle is stopped by executing both step S450 and step S460. There is. However, the processing unit 44 may perform only one of these. For example, the processing unit 44 may set the frequency section and not set the upper limit value by executing only step S460 out of steps S450 and S460.
  • the processing unit 44 executes only step S450 out of steps S450 and S460, the upper limit value is set and the frequency section is not set (that is, the frequency section is set as the default setting). Good.
  • the modification of the fifth embodiment is also applicable to the third embodiment.
  • the entire biological information detection system is mounted on the vehicle. However, part of the biometric information detection system does not have to be mounted on the vehicle. In that case, a signal may be exchanged between the portion of the biometric information detection system mounted on the vehicle and the portion not mounted on the vehicle by wireless communication or the like.
  • the entire biometric information detection system may be installed outside the vehicle. That is, the biometric information detection system may be used not only for calculating the biometric information of the occupants of the vehicle, but also for calculating the biometric information of a person outside the vehicle (for example, inside a building).
  • the receiving antenna 13 which is a radio wave type biological activity sensor is exemplified as the biological activity sensor.
  • the biological activity sensor is not limited to such a sensor.
  • the biological activity sensor may be an ultrasonic sensor or a piezoelectric sensor embedded in a vehicle seat.
  • the biological activity sensor may be a non-contact type sensor such as these, or may not be a non-contact type sensor.
  • the biological information calculated by the processing unit 44 in the above embodiment is a heartbeat.
  • the biological information calculated by the processing unit 44 does not have to be the heartbeat.
  • the processing unit 44 may calculate the respiratory rate of the person 2 from the same biological signal P1.
  • the processing unit 44 may calculate the pulse rate of the person 2 by using another biological signal sensor. If the processing unit 44 calculates biological information related to biological activity in which the form of frequency transition over time is different from noise, techniques such as those in the above embodiments are useful.
  • the frequency of the heartbeat is stable over time compared to the feature points that reflect noise.
  • biological information related to biological activities other than heartbeat may not be stable over time in the form of frequency transition over time, which is different from noise.
  • the processing unit 44 may extract the feature points from the feature points by a method according to the characteristics of the transition of the frequency of the biological activity with time.
  • the biometric information detection device includes an extraction unit that extracts a plurality of feature points that are a pair of frequency and intensity from frequency characteristics. Based on the amount of time fluctuation of a plurality of frequencies corresponding to a plurality of feature points, a specific part that specifies a feature point that reflects biological information, which is information on biological activity, and a specific part from among the plurality of feature points, are used. It is provided with a calculation unit that calculates biological information based on the identified feature points.
  • the specific unit specifies, among the plurality of feature points, the feature points whose aging fluctuation amount is within a predetermined allowable range as the feature points reflecting the biological information. By doing so, it is possible to exclude feature points that are known in advance to be unnecessary for extracting feature points that reflect biological information.
  • an abnormal signal indicating that an abnormality has occurred is transmitted by the biometric information detection device. It is equipped with an abnormal output unit that outputs to the outside. In this way, it is possible to notify the outside of the biological information detection device that the abnormality is occurring.
  • the specific unit specifies the smallest feature point among the plurality of feature points whose amount of fluctuation with time is within the permissible range as the feature point reflecting the biological information.
  • the biological activity sensor is mounted on the vehicle, the person is the occupant of the vehicle, and the biological information detection device has a permissible range and the biological activity when the vehicle is stopped. It is provided with a permissible range determining unit that determines based on the transition of frequency characteristics indicating the relationship between the frequency and the intensity of the biological signal input from the sensor. By doing so, it is possible to determine an allowable range suitable for the feature points corresponding to the biometric information obtained in the environment with less noise.
  • the extraction unit refers to one point having the maximum intensity at the same time point within each range of a plurality of frequency sections different from each other, and one feature belonging to the plurality of feature points. Extract as points.
  • the bioactivity sensor is mounted on the vehicle, the person is the occupant of the vehicle, and the biometric information detection device has a plurality of frequency sections and the traveling speed of the vehicle is large. It is equipped with a section setting unit that increases as much as possible.
  • the larger the traveling speed of the vehicle the larger the number of feature points that reflect noise, and as a result, the frequency difference between the feature points becomes smaller. Therefore, as the traveling speed of the vehicle increases, the number of the plurality of frequency sections is increased, so that the increasing feature points and the feature points reflecting the biological signal can be more reliably distinguished.
  • the biological activity sensor is mounted on the vehicle, the person is a occupant of the vehicle, and the biological information detection device is input from the biological activity sensor when the vehicle is stopped.
  • a section setting unit for determining a plurality of frequency sections is provided based on the transition of frequency characteristics indicating the relationship between the frequency and the intensity of the biological signal. By doing so, it is possible to determine a frequency section suitable for the feature point corresponding to the biometric information obtained in the environment with less noise.
  • the extraction unit searches for a plurality of points that are the maximum values of the intensity in the frequency characteristics, and extracts the plurality of points obtained as a result of the search as a plurality of feature points.
  • the biometric information detection device includes a division unit, and the extraction unit has one point in which the intensity is maximized at the same time point within each range of a plurality of different frequency sections.
  • the specific unit identifies the feature points whose amount of fluctuation with time is within a predetermined allowable range among the plurality of feature points as the feature points reflecting the biological information.
  • the dividing part divides a plurality of frequency sections when none of the plurality of feature points has the amount of fluctuation with time within a predetermined allowable range, and the specific part divides a plurality of frequencies after the division.
  • the feature points whose amount of fluctuation with time is within the permissible range are specified as feature points reflecting biometric information.
  • noise information is included in the same frequency section as the feature point reflecting the biological information, and as a result, the feature point whose time fluctuation amount is within a predetermined allowable range disappears. Even in such a case, by dividing a plurality of frequency sections and resetting the frequency sections as described above, it is possible to extract feature points that reflect biological information within the frequency range narrowed as a result of the division. The sex becomes high.

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Abstract

L'invention concerne un dispositif de détection d'informations biologiques comportant : une unité d'acquisition de caractéristiques (S130), qui acquiert la transition d'une caractéristique de fréquence (60) indiquant la relation fréquence-intensité d'un signal biologique (P1) entré à partir d'un capteur d'activité biologique (13) détectant l'activité biologique d'une personne (2) ; une unité d'extraction (S140) qui, à partir de la caractéristique de fréquence, extrait de multiples points particuliers (61 à 66), qui sont des paires fréquence-intensité ; une unité de spécification (S150, S160, S170) qui, en fonction de la variation dans le temps des multiples fréquences correspondant aux multiples points particuliers, spécifie à partir des multiples points particuliers susmentionnés un point particulier reflétant des informations biologiques, qui sont des informations relatives à l'activité biologique susmentionnée ; et une unité de calcul (S180) qui calcule les informations biologiques en fonction du point particulier spécifié par l'unité de spécification.
PCT/JP2020/010842 2019-03-22 2020-03-12 Dispositif de détection d'informations biologiques Ceased WO2020195899A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11151231A (ja) * 1997-11-20 1999-06-08 Nissan Motor Co Ltd 車両用精神疲労度判定装置
JP2014068992A (ja) * 2012-10-01 2014-04-21 Fujitsu Ltd ノイズ検知装置及びノイズ検知方法並びにノイズ検知プログラム
WO2018073939A1 (fr) * 2016-10-20 2018-04-26 富士通株式会社 Programme de mesure, procédé de mesure et dispositif de mesure

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11151231A (ja) * 1997-11-20 1999-06-08 Nissan Motor Co Ltd 車両用精神疲労度判定装置
JP2014068992A (ja) * 2012-10-01 2014-04-21 Fujitsu Ltd ノイズ検知装置及びノイズ検知方法並びにノイズ検知プログラム
WO2018073939A1 (fr) * 2016-10-20 2018-04-26 富士通株式会社 Programme de mesure, procédé de mesure et dispositif de mesure

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