JP4892616B2 - Biological information detection device - Google Patents

Description

  The present invention relates to a biological information detection apparatus that measures biological information and monitors the state of the biological body.

  Conventionally, a living tissue including an artery is irradiated with light, a pulse signal based on a change in the amount of reflected light or transmitted light according to the pulsation of the artery of the light is output, and a predetermined time (eg, 1) is output based on the pulse signal. There is a pulse meter that measures the pulse rate in minutes). When such a pulse is optically detected, there is no problem as long as the person to be detected is at rest. However, if there is a movement such as moving a hand or a finger, for example, the body movement is greatly affected, and the pulse signal ( In order to solve the problem that noise not related to the pulse is included in the pulse signal), the pulse signal generation interval value based on the abnormal pulse signal caused by noise etc. is excluded from the calculation of the pulse rate There is known a pulse meter that prevents a decrease in measurement (calculation) accuracy of the pulse rate (see, for example, Patent Document 1).

JP 2002-028139 A

  However, in the pulsometer shown in Patent Document 1, since information about noise does not remain after the calculation is completed, the same data is obtained whether measured under favorable conditions or not. There is a problem of being treated. For example, if the measurement is not always performed under favorable conditions depending on the condition of the person to be measured, such as a portable pulse meter, information on what state was measured can be obtained when viewing the results. It becomes important information.

  The present invention has been made in view of such circumstances, and monitors the state of a living body based on information obtained by adding auxiliary data that can determine a measurement state when measuring biological information to a biological state value. An object of the present invention is to provide a living body information detecting apparatus.

The invention according to claim 1 is a biological information detection apparatus that transmits a biological state value measured by being attached to the body of a measurement subject to a biological information processing server that performs predetermined processing via wireless communication. A biosensor for measuring information for a predetermined time, an amplification factor that is variable, amplifying means for amplifying and outputting the output of the biosensor, an amplification factor setting means for setting the amplification factor of the amplification means, and the biosensor A / D conversion means for A / D converting the output of the output, storage means for storing the sampling data, frequency analysis of the sampling data stored in the storage means, a frequency analysis means for storing in the storage unit, and the biological status value calculation means for calculating a biological condition value from the frequency analysis result stored in the storage means, the increase in within the predetermined time period An average amplification factor calculating means for calculating an average gain of the amplification factor ratio setting means has set, in that the average gain and the biological state value and a communicating means for transmitting to said biometric information processing server Features.

The invention according to claim 2 is a biological information detection device that transmits a biological state value measured by being attached to the body of a measurement subject to a biological information processing server that performs predetermined processing via wireless communication. A biological sensor that measures information for a predetermined time; a mounting sensor that detects whether or not the biological sensor is correctly mounted; and A / D conversion means that obtains sampling data by A / D converting the output of the biological sensor; , Storage means for storing the sampling data, frequency analysis means for analyzing the sampling data stored in the storage means, and storing the analysis result in the storage section, and frequencies stored in the storage means Based on the output of the living body state value calculating means for calculating the living body state value from the analysis result, the wearing rate of the living body sensor within the predetermined time is calculated. A mounting rate calculating means, characterized in that the mounting rate of the biometric sensor and the biological state value and a communicating means for transmitting to said biometric information processing server.

  According to the present invention, when viewing the measurement data later, it is possible to determine whether the data is reliable or not by viewing the supplemental data at the same time. In addition, since the measurement is performed again based on the comparison result with the predetermined threshold value, it is possible to reliably measure biological information with high reliability.

It is a block diagram which shows the whole structure of one Embodiment of this invention. It is a block diagram which shows the structure of the biometric information detection apparatus 20 shown in FIG. It is a flowchart which shows operation | movement of the biometric information detection apparatus 20 shown in FIG. It is a flowchart which shows operation | movement of the biometric information detection apparatus 20 shown in FIG. It is explanatory drawing which shows an example of the threshold value table 15 shown in FIG. It is explanatory drawing which shows the calculation method of a peak interval. It is explanatory drawing which shows a FFT process result. It is explanatory drawing which shows the timing of data sampling. It is a block diagram which shows the structure of other embodiment of this invention.

  Hereinafter, a biological information detection apparatus according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing the overall configuration of the embodiment. In this figure, reference numeral 20 denotes a wristwatch-type biological information detection device that measures a pulse based on a predetermined measurement schedule. Reference numeral 21 denotes a server that collects biological information measured by the biological information detection apparatus 20. Reference numeral 22 denotes a wireless communication unit that receives the biological information measured by the biological information detection device 20 using wireless communication and delivers it to the server 21.

  Next, the configuration of the main part of the biological information detection apparatus 20 shown in FIG. 1 will be described with reference to FIG. FIG. 2 is a block diagram showing a configuration of the biological information detection apparatus 20 shown in FIG. In this figure, reference numeral 1 denotes a mounting sensor that detects a state in which the wristwatch-type biological information detecting device 20 is mounted on the arm of the measurement subject. Reference numeral 2 denotes an A / D converter that converts the output of the wearing sensor 1 into a digital value. Reference numeral 3 denotes a mounting rate calculation unit that calculates a mounting rate within a predetermined time based on the output of the mounting sensor 1. Reference numeral 4 denotes a pulse wave sensor that detects biological information of the measurement subject, and various sensors such as an optical sensor and a piezoelectric element are used depending on the detection method. Reference numeral 5 denotes an amplifying unit that amplifies the output signal of the pulse wave sensor 4, and the amplification factor can be arbitrarily changed. Reference numeral 6 denotes an A / D converter that converts the output signal of the pulse wave sensor 4 amplified by the amplifier 5 into a digital value to obtain sampling data. Reference numeral 7 denotes an amplification factor setting unit that sets the amplification factor of the amplification unit 5. Reference numeral 8 denotes an average gain calculation unit that calculates an average value (referred to as average gain) of amplification factors set by the amplification factor setting unit 7. Reference numeral 9 denotes a storage unit that stores sampling data output from the A / D conversion unit 6. Reference numeral 10 denotes an FFT processing unit that performs frequency analysis on the sampling data stored in the storage unit 9 using FFT (Fast Fourier Transform) and stores the analysis result in the storage unit 9. Reference numeral 11 denotes a pulse rate calculation unit that calculates the pulse rate based on the frequency analysis result of the sampling data.

  Reference numeral 12 denotes an S / N ratio calculation unit that calculates the SN ratio of the sampling data based on the frequency analysis result of the sampling data. Reference numeral 13 denotes a peak interval calculation unit that calculates all the peak values of the sampling data stored in the storage unit 9 and calculates variations in time intervals between the obtained peak values. Reference numeral 14 is a determination unit that determines the reliability of the calculated pulse rate based on whether the calculated SN ratio exceeds a predetermined threshold value. Reference numeral 15 denotes a threshold value table in which threshold values for determining whether or not the calculated SN ratio exceeds a threshold value are stored in advance. Reference numeral 16 denotes an alarm output unit that issues an alarm according to the determination result of the determination unit 14. Reference numeral 17 denotes a measurement data storage unit that stores the reliability determination result in the determination unit 14 and the calculated pulse rate in association with each other. Reference numeral 18 establishes information communication with the wireless communication unit 22, transmits the reliability determination result stored in the measurement data storage unit 17 and the calculated pulse rate, and sends a measurement schedule from the server 21. It is a communication part to receive.

  Next, with reference to FIG. 3, the basic operation in which the biological information detection apparatus 20 shown in FIG. 1 measures a pulse will be described. FIG. 3 is a flowchart showing the basic operation of the biological information detection apparatus 20 shown in FIG. First, when the power of the biological information detection device 20 attached to the arm of the measurement subject is turned on (step S1), the storage unit 9 and the measurement data storage unit 17 in the biological information detection device 20 are initialized (step S2). ). Subsequently, the communication unit 18 establishes communication with the server 21 and receives current time data from the server 21, whereby a schedule management timer (not shown) in the server 21 and the biological information detection device 20 is received. ) Are synchronized (step S3).

  Next, the communication unit 18 inquires of the server 21 whether or not the measurement schedule is updated. If there is an update, the communication unit 18 receives the measurement schedule (steps S4 and S5). The measurement schedule here is data consisting of measurement time for one day, for example, measuring the pulse as “8:00, 9:00, 10:00,..., 21:00”. The time to be defined is defined. This measurement schedule is held in a memory provided in the biological information detection device 20, and is not deleted even when the power is turned off, and the content does not change until the measurement schedule is updated. The timer in the biological information detecting device 20 compares the current time with the measurement schedule, and measures the pulse when the measurement time comes (steps S6 and S7).

  Next, details of the measurement operation (step S7) shown in FIG. 3 will be described with reference to FIG. FIG. 4 is a flowchart showing a detailed operation of the measurement operation (step S7) shown in FIG. First, when the measurement time comes, the circuit power supply is turned on (step S11). The circuit power supply is in an OFF state except during measurement, and is turned ON when the measurement time comes based on an instruction from the schedule management timer.

  Next, the amplification unit 5 reads the output signal of the pulse wave sensor 4, amplifies this output signal, and outputs it to the A / D conversion unit 6 (step S12). The A / D conversion unit 6 obtains sampling data by sampling the output signal of the amplification unit 5 and performing A / D conversion (step S13). This sampling data is stored in the storage unit 9 (step S14).

  On the other hand, the amplification factor setting unit 7 adjusts the amplification factor of the amplification unit 5 based on the sampling data after A / D conversion, and outputs the set amplification factor to the average gain calculation unit 8. In response to this, the average gain calculator 8 holds this amplification factor inside (step S15).

Next, the peak interval calculation unit 13 determines whether or not the latest sampling data stored in the storage unit 9 is a peak value (step S16). If the result of this determination is a peak value, the time data of this sampling data is held internally (step S17). The time data here is the elapsed time from the start of sampling and corresponds to sampling interval time × (number of data−1). And the peak interval calculation part 13 calculates a peak interval (step S18).
Here, the peak interval will be described with reference to FIG. The peak value is the sampling data when the newly obtained sampling data value is smaller than the previous sampling data value and the newly obtained sampling data value is greater than a predetermined threshold value. That is. The peak interval is the time between these peak values. In the example of FIG. 6, there are two peak values, and the time between them is the peak interval.

  When the processes of steps S12 to S18 are repeatedly executed for a predetermined time (for example, 16 seconds) at a predetermined sampling period (8 Hz: 125 ms interval) (step S19), 128 sampling data are stored in the storage unit 9. The peak interval between the peak values is held in the peak interval calculation unit 13, and the set value of the amplification factor is held in the average gain calculation unit 8.

  Next, the average gain calculation unit 8 obtains average gain data by calculating the average of the set values of the amplification factors held therein (step S20), and outputs this average gain data to the determination unit 14. The determination unit 14 compares the input average gain data with a predetermined threshold value (for example, “5”) (step S21), and determines that the acquired sampling data has low reliability when the threshold value is exceeded. Then, the instruction signal for instructing the measurement is output again to the amplification unit 5 and the A / D conversion unit 6. Thereby, the measurement process is executed again.

  On the other hand, when the average gain does not exceed the threshold value, the determination unit 14 outputs a frequency analysis execution instruction signal to the FFT processing unit 10. In response, the FFT processing unit 10 performs frequency analysis of the sampling data stored in the storage unit 9 (step S22). Thereby, the frequency of the main component of sampling data is obtained. The FFT processing unit 10 stores the obtained frequency analysis result in the storage unit 9.

  Next, the pulse rate calculation unit 11 calculates the pulse rate from the frequency value of the main component of the sampling data stored in the storage unit 9 when the frequency analysis processing is completed, and outputs the pulse rate to the determination unit 14. (Step S23). In parallel with this, the S / N ratio calculation unit 12 calculates the SN ratio from the result of the frequency analysis when the frequency analysis processing is completed, and outputs it to the determination unit 14 (step S24). The frequency analysis result analyzed by the FFT processing unit 10 is as shown in FIG. The SN ratio is calculated by dividing (the sum of the heights of the baseline corresponding to the pulse signal (symbol A) and the baselines before and after it (symbols B and C)) by (the sum of the heights of all the baselines). Further, the peak interval calculation unit 13 calculates a variation in the value of the peak interval held therein (step S25), and outputs it to the determination unit 14. Further, the mounting rate calculation unit 3 calculates the mounting rate from data obtained by A / D converting the output signal of the mounting sensor 1 and outputs the calculated mounting rate to the determination unit 14. As a result, average gain data, pulse rate data, SN ratio data, peak interval value variation data, and mounting rate data are input to the determination unit 14.

  Next, the determination unit 14 determines the SN ratio (step S26). At this time, the determining unit 14 compares the threshold value stored in the threshold value table 15 with the SN ratio to determine whether the SN ratio is greater than the threshold value (step S27). When the SN ratio is larger than the threshold, it is determined that the reliability of the calculated pulse rate is high, and when the SN ratio is lower than the threshold, it is determined that the reliability of the calculated pulse rate is low.

  Here, the threshold values stored in the threshold value table 15 will be described with reference to FIG. In the threshold table 15, four threshold tables (a), (b), (c), and (d) are stored in advance.

  The threshold value table shown in FIG. 5A is defined such that the SN ratio threshold value decreases as the peak interval variation increases, and the average gain G is “0, 1, 2”. , “3, 4”, different curves are defined.

  The threshold value table shown in FIG. 5B is defined so that the threshold value of the S / N ratio increases as the pulse rate increases, and the average gain G is “0, 1, 2” and “ Different threshold values are defined in the case of “3, 4”.

  The threshold value table shown in FIG. 5C is defined such that the SN ratio threshold value decreases as the peak interval variation increases, and the average wearing rate is 98% or more, and 95 to 98. Different thresholds are defined for%.

  The threshold value table shown in FIG. 5 (d) is defined so that the threshold value of the SN ratio increases as the pulse rate increases. Further, the average wearing rate is 98% or more, and 95 to 98%. Different thresholds are defined in different cases.

  The determination unit 14 selects a threshold table used for threshold determination based on an instruction from the server 21 and refers to the selected threshold table to determine the SN ratio. For example, if the threshold value table to be used is the table of (b) shown in FIG. 5, the threshold value of the S / N ratio corresponding to the input pulse rate and average gain value is read out, and Comparison with the calculated SN ratio is performed to determine reliability.

  Next, when the determination unit 14 determines that the reliability is low, the determination unit 14 outputs an instruction signal for issuing an alarm to the alarm output unit 16. In response to this, the alarm output unit 16 emits an alarm sound. This alarm sound prompts the person to be measured to bring the pulse wave sensor 4 into close contact with the skin. If the determination unit 14 determines that the reliability is low, the determination unit 14 outputs an instruction signal for instructing measurement again to the amplification unit 5 and the A / D conversion unit 6. Thereby, the measurement process is executed again.

  On the other hand, when it is determined that the reliability is high, the determination unit 14 inputs the input average gain data, pulse rate data, SN ratio data, peak interval value variation data, and wear rate data, and reliability. Is stored in the measurement data storage unit 17 in association with the measurement time. The communication unit 18 establishes communication with the server 21 in response to the data stored in the measurement data storage unit 17, and transmits the data stored in the measurement data storage unit 17 to the server 21 ( Step S28). Then, the circuit power is turned off (step S29).

  Next, another embodiment will be described with reference to FIG. The configuration shown in FIG. 9 includes a determination unit 14, a threshold value table 15, an alarm output unit 16, and a measurement data storage unit 17 in the server 21. The biological information detection apparatus 20 transmits the calculated pulse rate, SN ratio, peak interval variation, and average gain to the server 21 via the communication unit 18. The server 21 determines the reliability of the pulse rate based on the received pulse rate, SN ratio, peak interval variation, and average gain. In this case, the biological information detection device 20 is also provided with an alarm output unit, and when it is determined that the reliability is low and measurement is performed again, the server 21 issues an alarm to the alarm output unit in the biological information detection device 20. An instruction to make a sound may be issued. Since other detailed operations are the same as those described above, detailed description thereof is omitted here.

  In this way, when viewing the measurement data later, it is possible to determine whether the data is reliable or not by viewing the supplemental data at the same time. For example, when the measured value changes suddenly, it can be determined that the measurement condition is bad if the supplementary data also changes suddenly.

  Note that in steps S20 and S21 shown in FIG. 4, it is determined whether or not to perform measurement again based on the value of the average gain. However, based on the mounting rate, measurement is performed again when the mounting rate is low. You may do it.

  Further, the threshold table 15 does not have to include all four tables, and only the necessary tables may be stored. At this time, since only the necessary data to be input to the determination unit 14 needs to be input, it is not necessary to provide all the components shown in FIG. It is only necessary to have the minimum necessary configuration.

  When measuring again based on the determination result, as shown in FIG. 8, the first 4 seconds of the first sampling data is deleted, and the second measurement is performed only for the missing 4 seconds. You may make it measure. Furthermore, it is only necessary to measure the deficient 4 seconds at the time of the third measurement. By doing in this way, it becomes possible to suppress power consumption at the time of re-measurement.

  Moreover, although embodiment mentioned above demonstrated using the example which measures a pulse rate, you may make it measure not only a pulse rate but the state regarding another biological body.

  2 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed to detect biological information. Processing may be performed. Here, the “computer system” includes an OS and hardware such as peripheral devices. The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Further, the “computer-readable recording medium” refers to a volatile memory (RAM) in a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, those holding programs for a certain period of time are also included.

  The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

  DESCRIPTION OF SYMBOLS 1 ... Wear sensor, 2 ... A / D conversion part, 3 ... Wear rate calculation part, 4 ... Pulse wave sensor, 5 ... Amplification part, 6 ... A / D conversion part , 7 ... Amplification rate setting unit, 8 ... Average gain calculation unit, 9 ... Storage unit, 10 ... FFT processing unit, 11 ... Pulse rate calculation unit, 12 ... S / N Ratio calculation unit, 13 ... peak interval calculation unit, 14 ... S / N ratio determination unit, 15 ... threshold value table, 16 ... alarm output unit, 17 ... measurement data storage unit, DESCRIPTION OF SYMBOLS 18 ... Communication part, 19 ... Communication part, 20 ... Biological information detection apparatus, 21 ... Server, 22 ... Wireless communication part

Claims (2)

A biological information detection device that transmits a biological state value measured by being attached to a body of a measurement person to a biological information processing server that performs predetermined processing via wireless communication,
A biological sensor for measuring biological information for a predetermined time;
Amplifying means having a variable amplification factor, amplifying and outputting the output of the biological sensor;
Amplification factor setting means for setting the amplification factor of the amplification means;
A / D conversion means for A / D converting the output of the biosensor to obtain sampling data; Storage means for storing the sampling data;
Frequency analysis means for analyzing the sampling data stored in the storage means, and storing the analysis result in the storage unit;
A biological state value calculating unit that calculates a biological state value from the frequency analysis result stored in the storage unit;
Average gain calculation means for calculating an average gain of the gain set by the gain setting means within the predetermined time;
A biological information detection apparatus comprising: communication means for transmitting the biological state value and the average amplification factor to the biological information processing server. A biological information detection device that transmits a biological state value measured by being attached to a body of a measurement person to a biological information processing server that performs predetermined processing via wireless communication,
A biological sensor for measuring biological information for a predetermined time;
A mounting sensor for detecting whether or not the biological sensor is correctly mounted;
A / D conversion means for A / D converting the output of the biosensor to obtain sampling data; Storage means for storing the sampling data;
Frequency analysis means for analyzing the sampling data stored in the storage means, and storing the analysis result in the storage unit;
A biological state value calculating unit that calculates a biological state value from the frequency analysis result stored in the storage unit;
A mounting rate calculating means for calculating a mounting rate of the biosensor within the predetermined time based on an output of the mounting sensor;
A biological information detection apparatus comprising: a communication unit that transmits the biological state value and a mounting rate of the biological sensor to the biological information processing server.

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