WO2020013001A1 - Biometric data measurement device, biometric data processing method, and a program for biometric data processing - Google Patents

Abstract

A technique for evaluating the reliability of biometric data is provided. This biometric data measurement device is provided with: a first acquisition unit which acquires first biometric data; a second acquisition unit which acquires second biometric data that was measured within a prescribed time period including the measurement date and time of the first biometric data; a first determination unit which determines whether the reliability of the first biometric data is high or low; a second determination unit which, depending on whether the reliability of the first biometric data is high or low, determines whether the reliability of the second biometric data is high or low; and a data processing unit which, in accordance with whether the reliability of the second biometric data is high or low, associates with the second biometric data that the reliability of the second biometric data is high or low.

Description

Biometric data measurement device, biometric data processing method, and program for biometric data processing

The present invention relates to a biological data measurement device, a biological data processing method, and a program for processing biological data.

活用 Utilization of biological data obtained from a human body such as electrocardiogram and blood pressure is expected. Patent Literature 1 discloses a technique for estimating a human's tension state based on an electrocardiographic waveform.

(4) The electrocardiographic waveform measured in a nervous state is a characteristic waveform irrespective of whether or not an abnormality has occurred in the body, and is not useful for diagnosing an abnormal body. Therefore, the electrocardiographic waveform measured in the nervous state is low-reliable data from the viewpoint of diagnosing abnormalities in the body. On the other hand, an electrocardiographic waveform measured in a resting state becomes a characteristic waveform if a serious abnormality has occurred in the body, and is therefore useful for diagnosing an abnormality in the body. Therefore, the electrocardiographic waveform measured in a resting state is highly reliable data from the viewpoint of diagnosing abnormalities in the body.

Japanese Patent Application Laid-Open No. 2017-169885

However, some biometric data not only fluctuates depending on whether the subject is in a resting state or a nervous state, but also reacts sensitively to changes in the body even in the resting state. Therefore, there is a possibility that even biological data measured in a resting state may be incorrectly evaluated as being measured in a nervous state. It is difficult to properly evaluate the reliability of such biometric data only by estimating a human's tension state based on the biometric data.

目的 An object of the present invention is to pay attention to the above circumstances, and to provide a technique for evaluating the reliability of biometric data.

A first aspect of the present disclosure is directed to a first acquisition unit configured to acquire first biometric data of a subject, and a first acquisition unit of the subject measured within a predetermined period including a measurement date and time of the first biometric data. A second obtaining unit that obtains the second biometric data, a first determining unit that determines whether the reliability of the first biometric data is high or low, and that the reliability of the first biometric data is high or A second determining unit that determines whether the reliability of the second biometric data is high or low in accordance with a first determination result indicating any one of the low and high levels, and the reliability of the second biometric data is high. Or a data processing unit that associates data indicating whether the reliability of the second biometric data is high or low with the second biometric data in accordance with a second determination result indicating either low or high. It is a biological data measurement device.
For example, there is biometric data that not only fluctuates depending on whether the subject is in a resting state or a nervous state, but also sensitively reacts to a change in the body even in the resting state. On the other hand, there is biometric data that varies depending on whether the subject is in a resting state or a nervous state, but does not react so much in the resting state if the abnormality that has occurred in the body is mild. The former biometric data is not suitable for evaluating the condition of the subject because it is easily affected by abnormalities in the body of the subject. Therefore, the former biometric data is not suitable for reliability evaluation according to the state of the subject. Since the latter biometric data is not frequently affected by abnormalities in the subject's body, it is suitable for evaluating the subject's condition. Therefore, the latter biometric data is suitable for reliability evaluation according to the state of the subject. The biometric data measurement device uses the latter biometric data as the first biometric data and the former biometric data as the second biometric data, so that it is difficult to directly evaluate the reliability of the second biometric data. Also, it is possible to indirectly evaluate the reliability of the second biometric data.

According to a second aspect of the present disclosure, in the first aspect, the first biometric data and the second biometric data are different types of biometric data.
Different types of biometric data show different fluctuation characteristics depending on the state of the subject. The biometric data measurement device can improve the indirect reliability evaluation accuracy of the second biometric data by using the biometric data suitable for the reliability evaluation as the first biometric data.

According to a third aspect of the present disclosure, in the first aspect, the first acquisition unit acquires data related to the subject's electrocardiogram as the first biometric data, and the second acquisition unit , Data relating to the blood pressure of the subject is acquired as the second biological data.
Since the electrocardiographic data is not frequently affected by abnormalities of the subject's body, it is suitable for evaluating the condition of the subject. Therefore, the electrocardiographic data is suitable for evaluation of reliability according to the condition of the subject. The blood pressure data is not suitable for evaluating the condition of the subject, because the blood pressure data is easily affected by abnormalities in the body of the subject. Therefore, the blood pressure data is not suitable for evaluating reliability according to the condition of the subject. Even if it is difficult to directly evaluate the reliability of blood pressure data, the biological data measurement device can indirectly evaluate the reliability of blood pressure data using electrocardiographic data.

According to a fourth aspect of the present disclosure, in the first aspect, the data output that outputs the second biometric data associated with data indicating whether the reliability of the second biometric data is high or low. It further includes a unit.
The biometric data measurement device can assist a doctor in making a diagnosis by providing the doctor with the second biometric data associated with the reliability data. By confirming the reliability of the second biometric data, the doctor can easily determine whether or not to use the second biometric data for the examination of the subject.

According to a fifth aspect of the present disclosure, in the first aspect, the support for improving the condition of the subject is made according to the second determination result indicating that the reliability of the second biometric data is low. A signal output unit for outputting a signal for instructing execution is further provided.
The biological data measurement device can measure highly reliable second biological data by supporting the relaxation of the tension on the subject.

According to a sixth aspect of the present disclosure, in the first aspect, the data processing unit outputs the second biometric data associated with data indicating that the reliability of the second biometric data is high. And the second biometric data associated with the data indicating that the reliability of the second biometric data is low is classified as a non-output target.
Since the biological data measurement device does not need to output all the first biological data, it is possible to reduce the load on communication. Since the doctor receives the highly reliable second biometric data, it is possible to omit the operation of checking whether the second biometric data is highly reliable data useful for the examination of the subject.

According to a seventh aspect of the present disclosure, in the sixth aspect, the data processing unit discards the second biometric data associated with data indicating that the reliability of the second biometric data is low. It is like that.
The biological data measurement device can effectively utilize the memory resources by discarding the blood pressure data with low reliability.

An eighth aspect of the present disclosure according to the first aspect, further includes a third acquisition unit that acquires predetermined reference data to be compared with the first biometric data, wherein the first determination unit Comparing the first biometric data with the reference data, and determining whether the reliability of the first biometric data is high or low based on a comparison result between the first biometric data and the reference data. It is like that.
By using the reference data, the biological data measurement device can accurately determine whether the reliability of the first biological data is high or low.

A ninth aspect of the present disclosure is directed to a first acquisition step of acquiring first biometric data of a subject, and a first acquisition process of the subject measured within a predetermined period including a measurement date and time of the first biometric data. A second obtaining step of obtaining the second biometric data, a first determining step of determining whether the reliability of the first biometric data is high or low, and a high reliability of the first biometric data. A second determining step of determining whether the reliability of the second biometric data is high or low in accordance with a first determination result indicating any of low, and a high reliability of the second biometric data. Or a data processing step of associating data indicating either high or low reliability of the second biometric data with the second biometric data in accordance with a second determination result indicating low or high. This is a biological data processing method.
According to the ninth aspect, the biological data processing method can obtain the same effects as those of the first aspect.

A tenth aspect of the present disclosure is a program for biometric data processing that causes a computer to execute processing of each unit included in the biometric data measurement device according to any one of the first to eighth aspects.
According to the tenth aspect, the program for biometric data processing can obtain the same effects as those of the first aspect.

According to the present invention, a technology for evaluating the reliability of biological data can be provided.

FIG. 1 is a diagram schematically showing an application example of the measuring device according to the present embodiment. FIG. 2 is a diagram illustrating an example of the overall configuration of the biometric data management system according to the present embodiment. FIG. 3 is a block diagram illustrating a hardware configuration of the measuring device according to the present embodiment. FIG. 4 is a block diagram illustrating a software configuration of the measuring device according to the present embodiment. FIG. 5 is a flowchart illustrating the reliability determination operation in the measuring device according to the present embodiment.

Hereinafter, an embodiment according to the present disclosure (hereinafter, also referred to as “the present embodiment”) will be described with reference to the drawings. However, the present embodiment described below is merely an example in every respect. Hereinafter, the same or similar elements as those already described are denoted by the same or similar reference numerals, and duplicate description will be basically omitted.

§1 Application example
The present embodiment is a technique for evaluating the reliability of biometric data and associating data related to the reliability with the biometric data.
FIG. 1 is a diagram schematically illustrating an application example of the measuring device A1.
The measuring device A1 includes an electrocardiographic measuring unit A11 and a blood pressure measuring unit A12. The electrocardiogram measurement unit A11 measures the electrocardiogram of a subject wearing the measurement device A1. The blood pressure measurement unit A12 measures the blood pressure of the subject wearing the measurement device A1.

The measuring device A1 acquires the subject's electrocardiographic data based on the measurement of the subject's electrocardiogram by the electrocardiogram measuring unit A11. The measurement device A1 acquires the blood pressure data of the subject measured within a predetermined period including the measurement date and time of the electrocardiographic data based on the measurement of the blood pressure of the subject by the blood pressure measurement unit A12. The measuring device A1 determines whether the reliability of the electrocardiographic data is high or low. For example, the measuring device A1 determines the state of the subject based on the electrocardiographic data, and determines whether the reliability of the electrocardiographic data is high or low according to the state of the subject. The measuring device A1 determines whether the reliability of the blood pressure data is high or low according to a first determination result indicating whether the reliability of the electrocardiographic data is high or low. The measurement device A1 associates the reliability data with the blood pressure data according to a second determination result indicating whether the reliability of the blood pressure data is high or low. The reliability data indicates whether the reliability of the blood pressure data is high or low. The measurement device A1 transmits the blood pressure data associated with the reliability data to the PHR (Personal Health Records) server A3 via the mobile terminal A2. The PHR server A3 is a server that manages blood pressure data of each person measured by the measurement device A1 in association with reliability data.

測定 Thus, the measurement device A1 can evaluate the reliability of the biological data.

§2 Configuration example
<Biometric data management system>
FIG. 2 is a diagram illustrating an overall configuration of the biometric data management system 100. The biometric data management system 100 is a system for managing biometric data of each person.
The biological data management system 100 includes a measurement device 1, a mobile terminal 2, a PHR server 3, and an EHR (Electronic Health Records) server 4. The mobile terminal 2, the PHR server 3, and the EHR server 4 can communicate with each other via a network. For example, the network is the Internet.

The measuring device 1 is a device that measures a physical quantity of a living body of a subject to which the measuring device 1 is worn. The measurement device 1 measures at least two different physical quantities. For example, the measuring device 1 measures an electrocardiogram and a blood pressure. The measurement device 1 measures biological data indicating a physical quantity of a living body of a subject. An example of the biometric data is data indicating an electrocardiogram. Data indicating an electrocardiogram is also referred to as electrocardiogram data. For example, the electrocardiogram data is waveform data indicating the fluctuation of the electrocardiogram during the measurement period. Instead, the electrocardiogram data may be data indicating a feature value of the electrocardiogram during the measurement period. For example, the feature value is a peak value, but is not limited thereto. The electrocardiogram may be a P wave, an R wave, or an S wave, and is not limited. Another example of the biometric data includes data indicating blood pressure. Data indicating blood pressure is also referred to as blood pressure data. For example, the blood pressure data is data indicating a value of systolic blood pressure SBP (Systolic Blood Pressure) and a value of diastolic blood pressure DBP (Diastatic Blood Pressure) at the time of blood pressure measurement. Instead, the blood pressure data may be waveform data indicating fluctuations in SBP and DBP during the measurement period. The measurement device 1 is also called a biological data measurement device.

The portable terminal 2 is a device that acquires electrocardiographic data and blood pressure data from the measuring device 1 and provides the electrocardiographic data and blood pressure data to the PHR server 3. For example, the mobile terminal 2 is a smartphone or a tablet, but is not limited thereto. The mobile terminal 2 is an example of a biometric data providing device.

The PHR server 3 is a server that manages the biometric data of each person measured by the measuring device 1. The PHR server 3 collects biometric data of each person from the mobile terminal 2. Instead, the PHR server 3 may directly collect the biometric data of each person from the measurement device 1. The doctor can utilize the biometric data managed by the PHR server 3 for each patient's examination.

The EHR server 4 is a server that manages data on medical examinations performed by doctors. The EHR server 4 manages data related to each patient's examination in cooperation with an electronic medical record input by a doctor using a PC (Personal Computer). Data related to the consultation is also referred to as consultation data.

The examination data includes reference data indicating the physical quantity of the living body of each person. The reference data is data used to determine whether the reliability of the biological data acquired by the measurement device 1 is high or low, as described later. The reference data is data measured in a resting state of each person. The reference data can also be data determined to be normal by the doctor. The consultation data includes first predetermined reference data relating to each person's electrocardiogram. The first reference data is used to determine whether the reliability of the electrocardiographic data acquired by the measurement device 1 is high or low, as described later. The first reference data may include a plurality of reference data measured at different time zones. For example, the first reference data includes reference data based on the measurement at the morning time and reference data based on the measurement at the afternoon time. One reason is that the tendency of electrocardiographic data differs depending on the time of day. Since the first reference data includes a plurality of reference data, the accuracy of determining whether the reliability of the electrocardiographic data is high or low is increased. Similarly, the examination data includes second predetermined reference data relating to the blood pressure of each individual. The second reference data is used to determine whether the reliability of the blood pressure data acquired by the measurement device 1 is high or low, as described later. The second reference data may include a plurality of reference data measured at different time zones. For example, the second reference data includes reference data based on the measurement at the morning time and reference data based on the measurement at the afternoon time. One reason is that the tendency of the blood pressure data differs depending on the time of day. When the second reference data includes a plurality of reference data, the accuracy of determining whether the reliability of the blood pressure data is high or low is increased.

<Measuring device>
[Hardware configuration]
FIG. 3 is a block diagram illustrating a hardware configuration of the measurement device 1.
The measurement device 1 includes a processor 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a storage device 104, a communication interface 105, an input unit 106, a display unit 107, a voice output unit 108, and an electrocardiogram measurement unit 109. And a blood pressure measurement unit 110. Each element is electrically connected to each other. In FIG. 3, the communication interface is described as “communication I / F”.

The processor 101 controls each element of the measuring device 1. For example, the processor 101 is a CPU (Central Processing Unit), but is not limited thereto. The processor 101 loads a program for executing the measuring device 1 stored in the storage device 104 on the RAM 103. Then, the processor 101 can execute various operations by interpreting and executing the program developed in the RAM 103.

The storage device 104 is a so-called auxiliary storage device. For example, the storage device 104 is a semiconductor memory such as a built-in or external flash memory, but is not limited thereto. The storage device 104 stores a program executed by the processor 101. Note that the program may be stored in the storage device 104 in advance. The program may be downloaded to the measurement device 1 via a network. The program may be stored on a non-transitory computer-readable medium and distributed.
The storage device 104 stores a plurality of electrocardiogram data having different measurement dates and times (measurement timing) measured by an electrocardiogram measurement unit 109 described later. The storage device 104 stores a plurality of blood pressure data having different measurement dates and times measured by the blood pressure measurement unit 110 described later.

The communication interface 105 is an interface for communicatively connecting the measuring device 1 to another device. The communication interface 105 includes a short-range wireless communication module. The short-range wireless communication method is, for example, a communication method based on Bluetooth (registered trademark), but is not limited thereto. The communication interface 105 communicates directly with the mobile terminal 2 using a short-range wireless communication method. The communication interface 105 may include modules for various wireless communication schemes for mobile communication (3G, 4G, etc.), WLAN (Wireless Local Area Network), and the like. In this case, the communication interface 105 can communicate with the PHR server 3 and the EHR server 4 without passing through the mobile terminal 2.

The input unit 106 is a device that receives an instruction based on an input by the subject. For example, the input unit 106 includes a touch panel and operation keys, but is not limited thereto. The input unit 106 outputs a signal to the processor 101 according to an instruction given by the subject. In addition, the input unit 106 is not limited to a device that receives an instruction based on an input based on an operation of the target person, and may be a device that receives an instruction based on a voice of the target person.

The display unit 107 is a device that displays information. For example, the display unit 107 is a liquid crystal display, but is not limited to this.

The audio output unit 108 is a device that outputs audio. For example, the audio output unit 108 is a speaker, but is not limited to this.

The electrocardiogram measurement unit 109 is a device that measures the electrocardiogram of a subject to which the measurement device 1 is worn. For example, the electrocardiograph 109 includes two electrodes. The electrocardiogram measurement unit 109 measures the electrocardiogram of the subject based on a potential difference generated between the two electrodes according to the contact of the subject with the two electrodes. For example, the electrocardiogram measurement unit 109 measures the electrocardiogram of the subject while the subject is in contact with the two electrodes. The electrocardiogram measurement unit 109 stores the electrocardiogram data in the storage device 104 every time the electrocardiogram data is measured. The electrocardiogram data includes data indicating the measurement date and time of the electrocardiogram. The measurement date and time of the electrocardiogram is detected by a clock function mounted on the measurement device 1.

The blood pressure measurement unit 110 is a device that measures the blood pressure of the subject wearing the measurement device 1. For example, the blood pressure measurement unit 110 includes a cuff, a pump, and a pressure sensor. The cuff is formed in a band shape that can be worn around the measurement site of the subject whose blood pressure is to be measured. The cuff has a bladder. The pump supplies air to the interior of the bladder to inflate the bladder. The pressure sensor measures the pressure in the bladder. Blood pressure measurement section 110 measures blood pressure based on data measured by the pressure sensor.

The blood pressure measurement unit 110 stores the blood pressure data in the storage device 104 every time the blood pressure data is measured. The blood pressure measurement unit 110 acquires the SBP value and the DBP value at the time of blood pressure measurement. Instead of this, the blood pressure measurement unit 110 may continuously measure the blood pressure of the subject at every beat, without depending on the blood pressure measurement instruction. The blood pressure measurement unit 110 acquires the SBP value and the DBP value during the blood pressure measurement period.

The blood pressure measurement unit 110 stores the blood pressure data in the storage device 104. The blood pressure data includes data indicating the date and time of measuring the blood pressure. The measurement date and time of the blood pressure is detected by a clock function mounted on the measuring device 1.

The blood pressure measurement section 110 may measure the blood pressure by a method other than the method of measuring the blood pressure based on the pressure described above. For example, the blood pressure measurement unit 110 may use an optical system, a radio wave system, or an ultrasonic system that applies light, radio waves, or ultrasonic waves to a blood vessel of a subject and measures blood pressure based on the reflected waves.

Regarding the specific hardware configuration of the measuring device 1, it is possible to appropriately omit, replace, and add components according to the embodiment. For example, the measurement device 1 may include a plurality of processors.

[Software Configuration]
FIG. 4 is a block diagram illustrating a software configuration of the measurement apparatus 1.
The processor 101 includes a first acquisition unit 1011, a second acquisition unit 1012, a third acquisition unit 1013, a first determination unit 1014, a second determination unit 1015, a data processing unit 1016, a data output unit 1017, and a signal. The output unit 1018 is mounted.

<1> The first acquisition unit 1011 will be described. The first obtaining unit 1011 obtains first biometric data of the subject as exemplified below. Here, the electrocardiogram data will be described as an example of the first biological data. The first obtaining unit 1011 obtains electrocardiographic data one by one from a plurality of electrocardiographic data of the subject stored in the storage device 104. The first acquisition unit 1011 outputs electrocardiogram data to the second acquisition unit 1012 and the first determination unit 1014.

<2> The second acquisition unit 1012 will be described. The second acquisition unit 1012 acquires the second biometric data of the subject measured within a predetermined period including the measurement date and time of the first biometric data, as exemplified below. Here, it is assumed that the first biometric data and the second biometric data are different types of biometric data. The blood pressure data will be described as an example of the second biological data. First, the second acquisition unit 1012 receives electrocardiogram data from the first acquisition unit 1011. Next, the second obtaining unit 1012 obtains data indicating the measurement date and time of the electrocardiogram from the electrocardiogram data. Next, the second acquisition unit 1012 acquires from the storage device 104 the blood pressure data of the subject measured within a predetermined period including the date and time of measuring the electrocardiogram. Second acquisition unit 1012 outputs the blood pressure data to data processing unit 1016.

<3> The third acquisition unit 1013 will be described. The third obtaining unit 1013 obtains predetermined first reference data to be compared with electrocardiographic data, as exemplified below. First, the third acquisition unit 1013 outputs a request for the first reference data of the subject to the EHR server 4 via the communication interface 105. The third acquisition unit 1013 can output a request to the EHR server 4 at an arbitrary timing. The request includes identification information identifying the subject. Next, the third acquisition unit 1013 receives the first reference data from the EHR server 4 via the communication interface 105 as a response to the request. Third acquisition unit 1013 outputs the first reference data to first determination unit 1014.

The first determining unit 1014 will be described. The first determination unit 1014 determines whether the reliability of the electrocardiographic data is high or low, as exemplified below.
In one example, the first determination unit 1014 compares the electrocardiographic data with the first reference data, and determines whether the reliability of the electrocardiographic data is high based on a comparison result between the electrocardiographic data and the first reference data. Determine if it is low. In this example, first, the first determination unit 1014 receives electrocardiogram data from the first acquisition unit 1011. First determination unit 1014 receives the first reference data from third acquisition unit 1013. Next, the first determination unit 1014 compares the electrocardiographic data with the first reference data. For example, the first determination unit 1014 compares the waveform data of the electrocardiographic data with the waveform data of the first reference data. In addition, it is preferable that the first determination unit 1014 uses, among a plurality of pieces of reference data included in the first reference data, reference data that is close to the measurement date and time of the electrocardiogram. Next, the first determination unit 1014 determines whether the reliability of the electrocardiographic data is high or low based on the comparison result between the electrocardiographic data and the first reference data. For example, when the degree of deviation of the electrocardiographic data from the first reference data is less than the threshold, the first determination unit 1014 determines that the electrocardiographic data is data measured in the subject's resting state. One reason is that when the electrocardiographic data is measured in a resting state of the subject, the degree of deviation of the electrocardiographic data from the first reference data is small. Accordingly, the first determination unit 1014 determines that the reliability of the electrocardiographic data is high because the electrocardiographic data is data measured in a resting state of the subject. The electrocardiographic data measured in the resting state of the subject is highly reliable data, and is highly useful data for a doctor in a medical examination. On the other hand, if the degree of deviation of the electrocardiographic data from the first reference data is equal to or greater than the threshold, the first determination unit 1014 determines that the electrocardiographic data is data measured in the subject's tension state. One reason is that when the electrocardiographic data is measured in the subject's tension state, the degree of deviation of the electrocardiographic data from the first reference data is large. As a result, the first determination unit 1014 determines that the reliability of the electrocardiographic data is low because the electrocardiographic data is data measured in a tension state of the subject. The electrocardiographic data measured in the subject's tension state is abnormal data, and is unreliable data that is not suitable for data used for medical examination of the subject. Therefore, low-reliability data is data of low use value in medical examinations for doctors. Note that the comparison between the electrocardiographic data and the first reference data may be performed using various methods, and is not limited.

In another example, the first determination unit 1014 determines whether the reliability of the electrocardiographic data is high or low based on the electrocardiographic data. In this example, first, the first determination unit 1014 receives electrocardiogram data from the first acquisition unit 1011. Next, the first determination unit 1014 determines the state of the subject based on the electrocardiographic data. For example, the state of the subject is either a resting state or a nervous state. The first determination unit 1014 determines, based on the electrocardiographic waveform, whether the electrocardiographic data is data measured in a resting state or a nervous state of the subject. Note that the determination of the subject's state based on the electrocardiographic data may use various methods, and is not limited. If the first determination unit 1014 determines that the electrocardiographic data is data measured in a resting state of the subject, it determines that the reliability of the electrocardiographic data is high. On the other hand, when the first determination unit 1014 determines that the electrocardiographic data is data measured in a tension state of the subject, it determines that the reliability of the electrocardiographic data is low.

The first determination unit 1014 generates a first determination result. The first determination result indicates that the reliability of the electrocardiographic data is either high or low. First determination unit 1014 outputs the first determination result to second determination unit 1015.

The second determination unit 1015 will be described. The second determination unit 1015 determines whether the reliability of the blood pressure data is high or low according to the first determination result, as exemplified below. First, the second determination unit 1015 receives a first determination result from the first determination unit 1014. Next, the second determination unit 1015 analyzes the content of the first determination result. The second determination unit 1015 determines that the reliability of the blood pressure data is high in response to the acquisition of the first determination result indicating that the reliability of the electrocardiogram data is high. One reason is that if the electrocardiographic data is measured in the subject's resting state, the blood pressure data is also measured in the subject's resting state. Blood pressure data measured in a resting state of the subject can be said to be highly reliable data. On the other hand, the second determination unit 1015 determines that the reliability of the blood pressure data is low in response to the acquisition of the first determination result indicating that the reliability of the electrocardiographic data is low. One reason is that if the electrocardiographic data is measured in the subject's tension, the blood pressure data is also measured in the subject's tension. The blood pressure data measured in the subject's nervous state can be said to be unreliable data.

The second determination unit 1015 generates a second determination result. The second determination result indicates whether the reliability of the blood pressure data is high or low. Second determination unit 1015 outputs the second determination result to data processing unit 1016 and signal output unit 1018.

The data processing unit 1016 will be described. As exemplified below, the data processing unit 1016 associates data indicating whether the reliability of the blood pressure data is high or low with the blood pressure data according to the second determination result. Data indicating whether the reliability of the blood pressure data is high or low is also referred to as reliability data. First, the data processing unit 1016 receives the blood pressure data from the second acquisition unit 1012. The data processing unit 1016 receives the second determination result from the second determination unit 1015. The data processing unit 1016 analyzes the content of the second determination result. The data processing unit 1016 generates reliability data indicating that the reliability of the blood pressure data is high or reliability data indicating that the reliability of the blood pressure data is low, according to the second determination result. The data processing unit 1016 associates the reliability data with the blood pressure data. For example, the data processing unit 1016 associates the reliability data with the blood pressure data by adding (labeling) the reliability data to the blood pressure data. The data processing unit 1016 outputs the blood pressure data associated with the reliability data to the data output unit 1017.

The data output unit 1017 will be described. The data output unit 1017 outputs blood pressure data associated with reliability data, as exemplified below. First, the data output unit 1017 receives the blood pressure data associated with the reliability data from the data processing unit 1016. Next, the data output unit 1017 outputs the blood pressure data associated with the reliability data to the PHR server 3 via the communication interface 105. Thereby, the PHR server 3 can manage the blood pressure data in association with the reliability data.

The signal output unit 1018 will be described. The signal output unit 1018 outputs a support signal that instructs execution of support for improving the condition of the subject according to a second determination result indicating that the reliability of the blood pressure data is low, as exemplified below. . The support signal includes an instruction to perform the support to relieve the tension of the subject. First, the signal output unit 1018 receives a second determination result from the second determination unit 1015. Next, the signal output unit 1018 analyzes the content of the second determination result, and determines whether the reliability of the blood pressure data is high or low. When the second determination result indicates that the reliability of the blood pressure data is low, the signal output unit 1018 outputs a support signal. On the other hand, when the second determination result indicates that the reliability of the blood pressure data is high, the signal output unit 1018 omits the output of the support signal.

For example, the signal output unit 1018 outputs a support signal to at least one of the display unit 107 and the audio output unit 108. The display unit 107 displays a screen for a message for relieving the subject of the tension based on the support signal. The audio output unit 108 outputs a message to ease the tension to the target person by voice based on the support signal. The message is not limited as long as it is a content that relieves the tension of the subject. The subject can recognize from the message that he / she is not in a resting state and can try to be in a resting state. Note that the signal output unit 1018 may output the support signal to elements other than the display unit 107 and the audio output unit 108. The signal output unit 1018 may output a support signal to a support providing device that provides an external stimulus to the subject. For example, the support providing apparatus may give, as an external stimulus, vibration of a lower frequency than that of the heartbeat to the subject.

§3 Operation example
<Measuring device>
[Reliability judgment operation]
FIG. 5 is a flowchart illustrating a reliability determination operation in the measurement device 1. The processing procedure described below is merely an example, and each processing may be changed as much as possible. In the processing procedure described below, steps can be omitted, replaced, and added as appropriate.

The first acquisition unit 1011 acquires the subject's electrocardiogram data (step S101). In step S101, the first acquisition unit 1011 acquires the subject's electrocardiogram data from the storage device 104 as illustrated. The first acquisition unit 1011 outputs electrocardiogram data to the second acquisition unit 1012 and the first determination unit 1014.

The second acquiring unit 1012 acquires the blood pressure data of the subject measured within a predetermined period including the measurement date and time of the electrocardiographic data of the subject (Step S102). In step S102, the second acquisition unit 1012 acquires the subject's blood pressure data from the storage device 104 with reference to the measurement date and time of the electrocardiographic data, as illustrated. The second acquisition unit 1012 outputs the data to the data processing unit 1016.

The first determining unit 1014 determines whether the reliability of the electrocardiographic data is high or low (step S103). In step S103, the first determination unit 1014 determines whether the reliability of the electrocardiographic data is high or low based on the electrocardiographic data as illustrated. First determination unit 1014 outputs the first determination result to second determination unit 1015.

The second determination unit 1015 determines whether the reliability of the blood pressure data is high or low (step S104). In step S104, the second determination unit 1015 determines whether the reliability of the blood pressure data is high or low according to the first determination result, as illustrated. Second determination unit 1015 outputs the second determination result to data processing unit 1016 and signal output unit 1018.

The data processing unit 1016 associates the reliability data with the blood pressure data (Step S105). In step S105, as illustrated, the data processing unit 1016 generates reliability data according to the second determination result, and associates the reliability data with the blood pressure data. The data processing unit 1016 outputs the blood pressure data associated with the reliability data to the data output unit 1017.

The data output unit 1017 outputs the blood pressure data associated with the reliability data (Step S106). In step S106, the data output unit 1017 outputs the blood pressure data associated with the reliability data to the external device via the communication interface 105 as illustrated.

The signal output unit 1018 determines whether the reliability of the blood pressure data is high or low (step S107). In step S107, as illustrated, the signal output unit 1018 determines whether the reliability of the blood pressure data is high or low based on the second determination result. When the reliability of the blood pressure data is high (step S107, No), the processor 101 ends the reliability determination operation. When the reliability of the blood pressure data is low (Step S107, Yes), the signal output unit 1018 outputs a support signal (Step S108). In step S108, the signal output unit 1018 outputs a support signal to at least one of the display unit 107 and the audio output unit 108, as illustrated.

The processor 101 can repeatedly execute the above-described reliability determination operation every time the subject's electrocardiogram data is acquired from the storage device 104.

In step S105, the data processing unit 1016 may classify blood pressure data associated with reliability data indicating that blood pressure data has high reliability as an output target. On the other hand, the data processing unit 1016 may classify the blood pressure data associated with the reliability data indicating that the reliability of the blood pressure data is low as a non-output target. In this example, the data processing unit 1016 classifies the blood pressure data as either an output target or a non-output target, and stores the blood pressure data in the storage device 104. In step S106, the data output unit 1017 outputs the blood pressure data classified as an output target. On the other hand, the data output unit 1017 omits outputting blood pressure data classified as non-output targets.

In step S105, the data processing unit 1016 may discard the blood pressure data associated with the reliability data indicating that the reliability of the blood pressure data is low. In this example, the data processing unit 1016 deletes the blood pressure data associated with the reliability data indicating that the reliability of the blood pressure data is low from the storage device 104. Therefore, the data output unit 1017 omits the output of the blood pressure data associated with the reliability data indicating that the reliability of the blood pressure data is low.

§4 Function / Effect As described above, in the present embodiment, the measuring device 1 indicates whether the reliability of the second biometric data is high or low based on the reliability of the first biometric data. The reliability data can be associated with the second biometric data.
For example, there is biometric data that not only fluctuates depending on whether the subject is in a resting state or a nervous state, but also sensitively reacts to a change in the body even in the resting state. On the other hand, there is biometric data that varies depending on whether the subject is in a resting state or a nervous state, but does not react so much in the resting state if the abnormality that has occurred in the body is mild. The former biometric data is not suitable for evaluating the condition of the subject because it is easily affected by abnormalities in the body of the subject. Therefore, the former biometric data is not suitable for reliability evaluation according to the state of the subject. Since the latter biometric data is not frequently affected by abnormalities in the subject's body, it is suitable for evaluating the subject's condition. Therefore, the latter biometric data is suitable for reliability evaluation according to the state of the subject. The measuring device 1 uses the latter biometric data as the first biometric data and the former biometric data as the second biometric data, so that it is difficult to directly evaluate the reliability of the second biometric data. In addition, the reliability of the second biometric data can be indirectly evaluated.

Further, in the present embodiment, the first biometric data and the second biometric data are different types of biometric data.
Different types of biometric data show different fluctuation characteristics depending on the state of the subject. The measuring device 1 can improve the indirect reliability evaluation accuracy of the second biometric data by using the biometric data suitable for the reliability evaluation as the first biometric data.

Furthermore, in the present embodiment, the measurement device 1 can acquire the subject's electrocardiographic data as the first biometric data and acquire the subject's blood pressure data as the second biometric data.
Since the electrocardiographic data is not frequently affected by abnormalities of the subject's body, it is suitable for evaluating the condition of the subject. Therefore, the electrocardiographic data is suitable for evaluation of reliability according to the condition of the subject. The blood pressure data is not suitable for evaluating the condition of the subject, because the blood pressure data is easily affected by abnormalities in the body of the subject. Therefore, the blood pressure data is not suitable for evaluating reliability according to the condition of the subject. Even if it is difficult to directly evaluate the reliability of the blood pressure data, the measuring device 1 can indirectly evaluate the reliability of the blood pressure data using the electrocardiographic data.

Further, in the present embodiment, the measuring device 1 can output the second biological data associated with the reliability data.
The measurement device 1 can assist the doctor in diagnosing by providing the doctor with the second biometric data associated with the reliability data. By confirming the reliability of the second biometric data, the doctor can easily determine whether or not to use the second biometric data for the examination of the subject.

Further, in the present embodiment, the measurement device 1 can output the support signal in accordance with the second determination result indicating that the reliability of the second biometric data is low.
The measurement device 1 can measure highly reliable second biometric data by supporting relaxation of the tension on the subject.

{Furthermore, in the present embodiment, the measurement device 1 can classify the second biometric data associated with the reliability data indicating that the reliability of the second biometric data is high as the output target. On the other hand, the measuring device 1 can classify the second biometric data associated with the reliability data indicating that the reliability of the second biometric data is low as a non-output target.

(4) Since the measurement device 1 does not need to output all the first biometric data, the load on communication can be reduced. Since the doctor receives the highly reliable second biometric data, it is possible to omit the operation of confirming whether the second biometric data is highly reliable data useful for the examination of the subject.

Further, in the present embodiment, the measurement device 1 can discard the blood pressure data associated with the reliability data indicating that the reliability of the blood pressure data is low.
The measurement device 1 can effectively utilize the memory resources by discarding the blood pressure data with low reliability.

Furthermore, in the present embodiment, the measurement device 1 can determine whether the reliability of the first biometric data is high or low based on the comparison result between the first biometric data and the reference data.
The measurement device 1 can accurately determine whether the reliability of the first biometric data is high or low by using the reference data.

§5 Modification
(5-1 Modification 1)
In the present embodiment, an example has been described in which the first acquisition unit 1011 acquires electrocardiographic data as first biometric data, and the second acquisition unit 1012 acquires blood pressure data as second biometric data. It is not limited to. The first obtaining unit 1011 may obtain blood pressure data as first biological data. The second acquisition unit 1012 may acquire electrocardiogram data as second biological data. In this example, the third obtaining unit 1013 may obtain the second reference data regarding the blood pressure of the subject, and the first determining unit 1014 may compare the blood pressure data with the second reference data.

The first acquisition unit 1011 may acquire data indicating physical quantities of a living body other than electrocardiogram and blood pressure as first living body data. The second acquisition unit 1012 may acquire, as the second biometric data, data indicating a physical quantity of a living body different from the first biometric data.

(5-2 Modification 2)
In the present embodiment, the measuring device 1 measures biological data regarding two different physical quantities, but is not limited thereto. The measurement device 1 may measure biological data regarding three different physical quantities. In this example, the measurement device 1 uses the reliability data indicating whether the reliability of the third biometric data is high or low based on the reliability of the first biometric data and the reliability of the second biometric data. May be associated with the third biometric data.

(5-3 Modification 3)
In the present embodiment, the first biometric data and the second biometric data have been described as being different types of biometric data, but the present invention is not limited to this. The first biometric data and the second biometric data may be the same type of biometric data. For example, the first biometric data and the second biometric data are both blood pressure data, but are not limited thereto. In this example, it is preferable that the measurement method of the first biological data is different from the measurement method of the second biological data, but they may be the same. For example, the first biometric data may be biometric data measured by an optical sensor. The second biometric data may be biometric data measured by an upper arm sphygmomanometer that wraps a cuff around an arm. The first biometric data and the second biometric data may be measured by the same device. The first biometric data and the second biometric data may be measured by different devices.

(5-4 Modification 4)
In short, the present invention is not limited to the present embodiment as it is, and can be embodied by modifying the constituent elements in the implementation stage without departing from the scope of the invention. Further, various inventions can be formed by appropriately combining a plurality of components disclosed in the present embodiment. For example, some components may be deleted from all the components shown in the present embodiment. Further, components of different embodiments may be appropriately combined.

§6 Additional notes
A part or all of the present embodiment can be described as shown in the following supplementary notes in addition to the scope of the claims, but is not limited thereto.
(Note)
A first acquisition unit (1011) for acquiring first biometric data of a subject;
A second acquisition unit (1012) for acquiring second biometric data of the subject measured within a predetermined period including the measurement date and time of the first biometric data;
A first determination unit (1014) for determining whether the reliability of the first biometric data is high or low;
A second determining unit (for determining whether the reliability of the second biometric data is high or low, according to a first determination result indicating whether the reliability of the first biometric data is high or low) 1015),
According to a second determination result indicating whether the reliability of the second biometric data is high or low, the data indicating whether the reliability of the second biometric data is high or low is changed to the second data. A data processing unit (1016) to be associated with the biometric data of
A biological data measurement device (1) comprising:

DESCRIPTION OF SYMBOLS 1 ... Measuring device 2 ... Portable terminal 3 ... PHR server 4 ... EHR server 100 ... Biometric data management system 101 ... Processor 102 ... ROM
103 ... RAM
104 storage device 105 communication interface 106 input unit 107 display unit 108 audio output unit 109 electrocardiogram measurement unit 110 blood pressure measurement unit 1011 first acquisition unit 1012 second acquisition unit 1013 third Acquisition unit 1014 ... first judgment unit 1015 ... second judgment unit 1016 ... data processing unit 1017 ... data output unit 1018 ... signal output unit A1 ... measurement device A2 ... portable terminal A3 ... PHR server A11 ... electrocardiogram measurement unit A12: Blood pressure measurement unit

Claims (10)

A first acquisition unit for acquiring first biometric data of the subject;
A second acquisition unit configured to acquire the second biometric data of the subject measured within a predetermined period including the measurement date and time of the first biometric data;
A first determination unit that determines whether the reliability of the first biometric data is high or low;
A second determination unit that determines whether the reliability of the second biometric data is high or low in accordance with a first determination result indicating whether the reliability of the first biometric data is high or low. ,
According to a second determination result indicating whether the reliability of the second biometric data is high or low, the data indicating whether the reliability of the second biometric data is high or low is changed to the second data. A data processing unit to be associated with the biometric data of
A biological data measurement device comprising: The biometric data measurement device according to claim 1, wherein the first biometric data and the second biometric data are different types of biometric data. The first acquisition unit acquires data on the subject's electrocardiogram as the first biometric data,
The second obtaining unit obtains data regarding the blood pressure of the subject as the second biological data,
The biological data measurement device according to claim 1. The biometric data measurement device according to claim 1, further comprising: a data output unit configured to output the second biometric data associated with data indicating whether the reliability of the second biometric data is high or low. Further comprising a signal output unit that outputs a signal instructing execution of support for improving the condition of the subject, in accordance with the second determination result indicating that the reliability of the second biometric data is low. Item 2. The biological data measurement device according to Item 1. The data processing unit classifies the second biometric data associated with data indicating that the reliability of the second biometric data is high as an output target, and the reliability of the second biometric data is low. The biometric data measurement device according to claim 1, wherein the second biometric data associated with the data indicating the non-output target is classified as a non-output target. The biometric data measurement device according to claim 6, wherein the data processing unit discards the second biometric data associated with data indicating that the reliability of the second biometric data is low. A third acquisition unit configured to acquire predetermined reference data to be compared with the first biometric data,
The first determination unit compares the first biometric data with the reference data, and determines a reliability of the first biometric data based on a comparison result between the first biometric data and the reference data. To determine whether it ’s high or low,
The biological data measurement device according to claim 1. A first acquisition step of acquiring first biological data of the subject;
A second acquisition step of acquiring second biometric data of the subject measured within a predetermined period including the measurement date and time of the first biometric data;
A first determining step of determining whether the reliability of the first biometric data is high or low;
A second determination step of determining whether the reliability of the second biometric data is high or low in accordance with a first determination result indicating whether the reliability of the first biometric data is high or low; ,
According to a second determination result indicating whether the reliability of the second biometric data is high or low, the data indicating whether the reliability of the second biometric data is high or low is changed to the second data. A data processing process associated with the biometric data of
A biological data processing method comprising: A computer-readable storage medium storing a program for causing a computer to execute processing of each unit included in the biological data measurement device according to any one of claims 1 to 8.

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