WO2020013004A1

WO2020013004A1 - Biological data provision device, biological data provision method, and program for biological data provision

Info

Publication number: WO2020013004A1
Application number: PCT/JP2019/026067
Authority: WO
Inventors: 寺尾　忠久; 洋貴和田; 知宏茎田; 民生上田
Original assignee: オムロンヘルスケア株式会社
Priority date: 2018-07-13
Filing date: 2019-07-01
Publication date: 2020-01-16
Also published as: JP2020010759A

Abstract

The invention provides readily utilized data for inferring the cause of an illness affecting a subject. This biological data provision device comprises: a first acquisition unit for acquiring first biological data from the subject; a second acquisition unit for acquiring second biological data from the subject, measured within a predetermined period containing the measurement date and time of the first biological data; and an output unit whereby the first biological data and the second biological data are associated to one another and output.

Description

Biometric data providing apparatus, biometric data providing method, and program for providing biometric data

The present invention relates to a biometric data providing device, a biometric data providing method, and a program for providing biometric data, which provide biometric data of a subject.

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.

Japanese Patent Application Laid-Open No. 2017-169885

A doctor can grasp the state of human tension using the technique disclosed in Patent Document 1, but it is difficult to estimate the cause of a patient's illness. Generally, a physician estimates the cause of a patient's illness based on various data. For this reason, even if the physician is provided with only the electrocardiographic waveform or can evaluate whether or not the electrocardiographic waveform is normal, it is difficult to estimate the cause of the patient's illness from only the electrocardiographic waveform.

(4) An object of the present invention is to provide a technique for providing data that has been made by focusing on the above circumstances and that can be easily used for estimating the cause of a disease of a subject.

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. 2 is a biometric data providing device including a second obtaining unit that obtains the second biometric data, and an output unit that outputs the first biometric data and the second biometric data in association with each other.
According to the first aspect, the biometric data providing device is a data which is easy to use for estimating a cause of a disease of a subject who associates the first biometric data and the second biometric data whose measurement date and time are included in a predetermined period. Is provided to the doctor, so that the diagnosis by the doctor can be supported. The doctor can omit the work of collecting a plurality of pieces of biometric data measured at the same time necessary to estimate the cause of the disease of the subject. The doctor can efficiently examine the subject using the first biometric data and the second biometric data associated based on the measurement date and time.

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.
According to the second embodiment, the biometric data providing device provides the doctor with data that can be easily used for estimating the cause of a disease of a subject who associates different types of biometric data whose measurement date and time is included within a predetermined period. be able to. The physician can efficiently examine the subject with the different types of biometric data associated based on the measurement date and time.

According to a third aspect of the present disclosure, in the first aspect, a first determination unit that determines whether the first biometric data is normal, and determines whether the second biometric data is normal. A second determination unit that performs the first determination result indicating that the first biometric data is normal or abnormal and the second determination unit that determines whether the second biometric data is normal or abnormal. And at least one of the second determination results indicating the above is output.
According to the third aspect, the biological data providing apparatus assists the doctor in making a diagnosis by providing the doctor with the first determination result and the second determination result that are easy to use for estimating the cause of the disease of the subject. can do. The doctor can quickly grasp the presence / absence of the abnormality in the biometric data by reducing the work of analyzing the presence / absence of the abnormality in the biometric data.

According to a fourth aspect of the present disclosure, in the first aspect, a first determination unit that determines whether the first biometric data is normal, and determines whether the second biometric data is normal. A second determination unit that determines whether the first biometric data is normal or abnormal and a second determination result that indicates whether the second biometric data is normal or abnormal. A generating unit configured to generate support information for supporting estimation of the disease of the subject according to the combination, wherein the output unit outputs the support information.
According to the fourth aspect, the biometric data providing device can assist a doctor in making a diagnosis by providing the doctor with support information that is easy to use for estimating the cause of the disease of the subject. The physician can quickly determine a diagnostic policy by referring to the support information analyzed based on the biological data.

According to a fifth aspect of the present disclosure, in the third aspect or the fourth aspect, a predetermined first reference data to be compared with the first biometric data and a predetermined first reference data to be compared with the second biometric data. The apparatus further includes a third acquisition unit configured to acquire predetermined second reference data, wherein the first determination unit compares the first biometric data with the first reference data, and obtains the first biometric data. Based on the comparison result between the data and the first reference data, it is determined whether or not the first biometric data is normal, and the second determination unit converts the second biometric data into the second biometric data. The second biometric data is compared with reference data, and it is determined whether or not the second biometric data is normal based on a comparison result between the second biometric data and the second reference data.
According to the fifth aspect, by using the reference data, the biometric data providing device can accurately determine whether the first biometric data and the second biometric data are normal. The doctor can quickly grasp the presence / absence of the abnormality in the biometric data by reducing the work of analyzing the presence / absence of the abnormality in the biometric data.

According to a sixth aspect of the present disclosure, in the first aspect, the first acquisition unit acquires data relating to the subject's electrocardiogram as the first biological data, and the second acquisition unit , Data relating to the blood pressure of the subject is acquired as the second biological data.
According to the sixth aspect, the biometric data providing apparatus provides the doctor with data that can be easily used for estimating the cause of the disease of the subject, in which the data related to the electrocardiogram and the data related to the blood pressure whose measurement date and time are included in the predetermined period are associated. Can be provided. The physician can give a rough idea of where on the subject's body there is an abnormality from medical knowledge of the causal relationship between electrocardiogram and blood pressure.

A seventh 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 biometric data providing method including a second obtaining process of obtaining the second biometric data and an output process of outputting the first biometric data and the second biometric data in association with each other.
According to the seventh aspect, the biometric data providing method can obtain the same effect as the above-described first aspect.

An eighth aspect of the present disclosure is a program for providing biological data, which causes a computer to execute processing of each unit included in the biological data providing apparatus according to any one of the first to sixth aspects.
According to the eighth aspect, the program for providing biometric data can achieve the same effects as those of the first aspect.

According to the present invention, it is possible to provide a technique for providing data that can be easily used for estimating the cause of a disease of a subject.

FIG. 1 is a diagram schematically illustrating an application example of the biological data providing apparatus 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 hardware configuration of the mobile terminal according to the embodiment. FIG. 5 is a block diagram illustrating a software configuration of the mobile terminal according to the present embodiment. FIG. 6 is a flowchart illustrating a first output operation in the mobile terminal according to the present embodiment. FIG. 7 is a flowchart illustrating a second output operation in the mobile terminal according to the present embodiment. FIG. 8 is a flowchart illustrating a third output operation in the mobile terminal 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 associating a plurality of pieces of biometric data measured at the same time.
FIG. 1 is a diagram schematically illustrating an application example of the biometric data providing device A1. For example, the biometric data providing device A1 is a smartphone.

The biological data providing device A1 acquires data indicating the subject's electrocardiogram from the measuring device A2. The biological data providing device A1 acquires data indicating the blood pressure of the subject from the measuring device A2. The data indicating the blood pressure is data measured within a predetermined period including the measurement date and time of the electrocardiographic data.

The biometric data providing apparatus A1 associates the first biometric data and the second biometric data, both of which include the measurement date and time included in the predetermined period, with the PHR (Personal Health Records) server A3 via the network. The PHR server A3 is a server that manages data indicating the electrocardiogram of each person and data indicating the blood pressure measured by the measuring device A2.

生体 Thus, the biometric data providing device A2 can provide data that can be easily used for estimating the cause of the disease of the subject.

§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 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 for determining whether or not the biological data acquired by the measurement device 1 is normal, as described later. The reference data is 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 electrocardiographic data acquired by the measurement device 1 is normal, 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 electrocardiographic data is normal 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 for determining whether the blood pressure data acquired by the measurement device 1 is normal, 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. Since the second reference data includes a plurality of reference data, the accuracy of determining whether the blood pressure data is normal 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. 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. 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 measures the blood pressure based on the blood pressure measurement instruction input by the subject at the input unit 106. 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 every time the blood pressure data is measured. 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.

The measuring device 1 configured as described above transmits the biometric data stored in the storage device 104 to the portable terminal 2 as exemplified below. In one example, the measurement device 1 autonomously transmits biometric data to the mobile terminal 2. In this example, the measurement device 1 transmits the biometric data to the mobile terminal 2 at predetermined time intervals. The predetermined period may be an hour unit or a day unit. Instead, the measuring device 1 may transmit the biometric data to the mobile terminal 2 every time the biometric data is acquired. In another example, the measurement device 1 transmits biometric data to the mobile terminal 2 in response to a request from the mobile terminal 2. In this example, the measurement device 1 transmits to the mobile terminal 2 biometric data that has not been transmitted to the mobile terminal 2 in response to a request from the mobile terminal 2.

<Mobile terminal>
[Hardware configuration]
FIG. 4 is a block diagram illustrating a hardware configuration of the mobile terminal 2.
The mobile terminal 2 includes a processor 201, a ROM 202, a RAM 203, a storage device 204, a communication interface 205, an input unit 206, a display unit 207, and an audio output unit 208. Each element is electrically connected to each other. In FIG. 4, the communication interface is described as “communication I / F”.

The processor 201 controls each element of the mobile terminal 2. For example, the processor 201 is a CPU, but is not limited to this. The processor 101 loads a program for executing the mobile terminal 2 stored in the storage device 204 on the RAM 203. When the processor 201 interprets and executes the program expanded in the RAM 203, the processor 201 can execute various operations.

The storage device 204 is a so-called auxiliary storage device. For example, the storage device 204 is a semiconductor memory such as a built-in or external flash memory, but is not limited thereto. The storage device 204 stores a program executed by the processor 201. Note that the program may be stored in the storage device 204 in advance. The program may be downloaded to the mobile terminal 2 via a network. The program may be stored on a non-transitory computer-readable medium and distributed.
The storage device 204 stores a plurality of electrocardiogram data of subjects having different measurement dates and times. The storage device 204 stores a plurality of blood pressure data of subjects having different measurement dates and times. The plurality of electrocardiogram data of the subject and the plurality of blood pressure data of the subject are data transmitted from the measurement device 1 to the mobile terminal 2.

The communication interface 205 is an interface for communicatively connecting the mobile terminal 2 to another device. The communication interface 205 includes a module for a short-range wireless communication system. The short-range wireless communication method is, for example, a communication method based on Bluetooth, but is not limited to this. The communication interface 205 communicates directly with the measurement device 1 using a short-range wireless communication method. The communication interface 205 includes modules for various wireless communication schemes for mobile communication (3G, 4G, etc.) and WLAN. In this case, the communication interface 205 can communicate with the PHR server 3 and the EHR server 4 using various wireless communication methods.

The input unit 206 is a device that receives an instruction based on an input from a subject. For example, the input unit 206 includes a touch panel and operation keys, but is not limited thereto. The input unit 206 outputs a signal to the processor 201 in accordance with an instruction given by the subject's input. Note that the input unit 206 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 207 is a device that displays information. For example, the display unit 207 is a liquid crystal display, but is not limited thereto.

The audio output unit 208 is a device that outputs audio. For example, the audio output unit 208 is a speaker, but is not limited to this.

Regarding the specific hardware configuration of the mobile terminal 2, it is possible to appropriately omit, replace, and add components according to the embodiment. For example, the mobile terminal 2 may include a plurality of processors.

[Software Configuration]
FIG. 5 is a block diagram illustrating a software configuration of the mobile terminal 2.

The processor 201 implements a first acquisition unit 2011, a second acquisition unit 2012, a third acquisition unit 2013, a first determination unit 2014, a second determination unit 2015, a generation unit 2016, and an output unit 2017.

<1> The first acquisition unit 2011 will be described. The first obtaining unit 2011 obtains first biological 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 2011 obtains electrocardiographic data one by one from a plurality of electrocardiographic data of the subject stored in the storage device 204. Instead, the first acquisition unit 2011 may directly acquire the subject's electrocardiographic data transmitted from the measurement device 1. The first acquisition unit 2011 outputs the electrocardiogram data to the second acquisition unit 2012, the first determination unit 2014, and the output unit 2017.

The second acquisition unit 2012 will be described. The second acquisition unit 2012 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 2012 receives electrocardiogram data from the first acquisition unit 2011. Next, the second acquisition unit 2012 acquires data indicating the measurement date and time of the electrocardiogram from the electrocardiogram data. Next, the second acquisition unit 2012 acquires from the storage device 204 the blood pressure data of the subject measured within a predetermined period including the date and time of measurement of the electrocardiogram. The second obtaining unit 2012 outputs the blood pressure data to the second determining unit 2015 and the output unit 2017.

The third acquisition unit 2013 will be described. The third obtaining unit 2013 obtains predetermined first reference data to be compared with electrocardiographic data and predetermined second reference data to be compared with blood pressure data, as exemplified below. First, the third acquisition unit 2013 outputs a request for the first reference data and the second reference data of the subject to the EHR server 4 via the communication interface 205. The third acquisition unit 2013 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 2013 receives the first reference data and the second reference data from the EHR server 4 via the communication interface 205 as a response to the request. Third acquisition section 2013 outputs the first reference data to first determination section 2014. Third acquisition section 2013 outputs the second reference data to second determination section 2015.

The first determination unit 2014 will be described. The first determination unit 2014 determines whether the electrocardiographic data is normal, as exemplified below. First, the first determination unit 2014 receives electrocardiogram data from the first acquisition unit 2011. The first determination unit 2014 receives the first reference data from the third acquisition unit 2013. Next, the first determination unit 2014 compares the electrocardiographic data with the first reference data. For example, the first determination unit 2014 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 2014 uses the reference data that is close to the measurement date and time of the electrocardiogram among the plurality of reference data included in the first reference data. Next, the first determination unit 2014 determines whether the electrocardiographic data is normal based on a comparison result between the electrocardiographic data and the first reference data. For example, if the degree of deviation of the electrocardiographic data from the first reference data is less than the threshold, the first determining unit 2014 determines that the electrocardiographic data is normal. 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 2014 determines that the electrocardiographic data is abnormal. Note that the comparison between the electrocardiographic data and the first reference data may be performed using various methods, and is not limited.

The first determining unit 2014 may determine whether the electrocardiographic data is normal without comparing the electrocardiographic data with the first reference data. For example, the first determination unit 2014 may determine whether or not the electrocardiographic data is normal based on the degree of fluctuation of the physical quantity in the electrocardiographic data itself. Alternatively, for example, the first determination unit 2014 may compare the electrocardiographic data with generally modeled data assumed to be normal to determine whether the electrocardiographic data is normal.

１ The first determining unit 2014 generates a first determination result. The first determination result indicates that the electrocardiographic data is normal or abnormal. The first determination unit 2014 outputs the first determination result to the generation unit 2016 and the output unit 2017.

について The second determination unit 2015 will be described. The second determination unit 2015 determines whether the blood pressure data is normal, as exemplified below. First, the second determination unit 2015 receives the blood pressure data from the second acquisition unit 2012. The second determination unit 2015 receives the second reference data from the third acquisition unit 2013. Next, the second determination unit 2015 compares the blood pressure data with the second reference data. For example, the second determination unit 2015 compares the SBP value and the DBP value of the blood pressure data with the SBP value and the DBP value of the first reference data. Note that the second determination unit 2015 preferably uses reference data close to the blood pressure measurement date and time among a plurality of reference data included in the second reference data. Next, the second determination unit 2015 determines whether the blood pressure data is normal based on a comparison result between the blood pressure data and the second reference data. For example, when the degree of deviation of the blood pressure data from the second reference data is less than the threshold, the second determination unit 2015 determines that the blood pressure data is normal. On the other hand, when the degree of deviation of the blood pressure data from the second reference data is equal to or greater than the threshold, the second determination unit 2015 determines that the blood pressure data is abnormal. Note that the comparison between the blood pressure data and the second reference data may use various methods, and is not limited.

The second determination unit 2015 may determine whether the blood pressure data is normal without comparing the blood pressure data with the second reference data. For example, the second determination unit 2015 may determine whether the blood pressure data is normal based on the blood pressure data itself. Alternatively, for example, the second determination unit 2015 may compare the blood pressure data with a generally modeled range of values assumed to be normal, and may determine whether the blood pressure data is normal.

The second determination unit 2015 generates a second determination result. The second determination result indicates whether the blood pressure data is normal or abnormal. The second determination unit 2015 outputs the second determination result to the generation unit 2016 and the output unit 2017.

The generation unit 2016 will be described. The generation unit 2016 generates support information according to a combination of the first determination result and the second determination result, as exemplified below. The support information is information for supporting estimation of the disease of the target person. First, the generation unit 2016 receives a first determination result from the first determination unit 2014. The generation unit 2016 receives the second determination result from the second determination unit 2015. Next, the generation unit 2016 detects a combination of the first determination result and the second determination result. The combinations are the following four. The first combination is a combination in which the electrocardiographic data is normal and the blood pressure data is normal. The second combination is a combination in which the electrocardiographic data is normal and the blood pressure data is abnormal. The third combination is a combination in which the electrocardiographic data is abnormal and the blood pressure data is normal. The fourth combination is a combination in which the electrocardiographic data is abnormal and the blood pressure data is abnormal.

Next, the generation unit 2016 generates support information having different contents according to the combination of the first determination result and the second determination result. The generation unit 2016 generates support information indicating that there is a high possibility that the subject has no abnormality in response to the detection of the first combination. The generation unit 2016 generates support information indicating that the subject may have other abnormalities other than blood vessels or the heart in response to detection of the second combination. The generation unit 2016 generates support information indicating that the subject may have an abnormality in the heart itself in response to detection of the third combination. The generation unit 2016 generates support information indicating that the subject has a risk of cardiovascular disease in response to detection of the fourth combination. Note that the contents of the support information are examples, and other contents may be used. Next, the generation unit 2016 outputs the support information to the output unit 2017.

The output unit 2017 will be described. The output unit 2017 outputs the subject's electrocardiographic data and blood pressure data in association with each other, as exemplified below. First, the output unit 2017 receives the subject's electrocardiogram data from the first acquisition unit 2011. The output unit 2017 receives the subject's blood pressure data from the second acquisition unit 2012. Next, the output unit 2017 associates the subject's electrocardiographic data and blood pressure data. For example, the output unit 2017 associates the electrocardiographic data and the blood pressure data by combining the electrocardiographic data and the blood pressure data into one data. The output unit 2017 may add information indicating that the measurement date and time of the electrocardiogram and the measurement date and time of the blood pressure are included in a predetermined period to the data in which the electrocardiogram data and the blood pressure data are combined. Next, the output unit 2017 outputs the subject's electrocardiographic data and blood pressure data to the PHR server 3 via the communication interface 205 in association with each other. Thereby, the PHR server 3 can manage the electrocardiographic data and the blood pressure data based on the measurement at the same time in association with each other.

The output unit 2017 may output at least one of the first determination result and the second determination result in addition to the subject's electrocardiographic data and blood pressure data. First, the output unit 2017 receives a first determination result from the first determination unit 2014. The output unit 2017 receives the second determination result from the second determination unit 2015. Next, the output unit 2017 outputs at least one of the first determination result and the second determination result to the PHR server 3 via the communication interface 205. The output unit 2017 outputs at least one of the first determination result and the second determination result in association with the electrocardiogram data and the blood pressure data. For example, the output unit 2017 adds at least one of the first determination result and the second determination result to one data in which the electrocardiogram data and the blood pressure data are combined. Instead, the output unit 2017 may output at least one of the first determination result and the second determination result at a timing different from the output of the electrocardiographic data and the blood pressure data. Accordingly, the PHR server 3 can manage the at least one of the first determination result and the second determination result in association with the electrocardiographic data and the blood pressure data based on the measurement at the same time.

The output unit 2017 may output support information in addition to the subject's electrocardiogram data and blood pressure data. First, the output unit 2017 receives support information from the generation unit 2016. Next, the output unit 2017 outputs the support information to the PHR server 3 via the communication interface 205. For example, the output unit 2017 adds the support information to one data in which the electrocardiographic data and the blood pressure data are combined. Instead, the output unit 2017 may output the support information at a timing different from the output of the electrocardiographic data and the blood pressure data. Thereby, the PHR server 3 can manage the support information in association with the electrocardiographic data and the blood pressure data based on the measurement at the same time.

The output unit 2017 may output at least one of the first determination result and the second determination result and the support information in addition to the subject's electrocardiogram data and blood pressure data.

§3 Operation example
<Mobile terminal>
[First output operation]
FIG. 6 is a flowchart illustrating a first output operation in mobile terminal 2. 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 2011 acquires the subject's electrocardiogram data (step S101). In step S101, the first acquisition unit 2011 acquires the subject's electrocardiogram data from the storage device 204 as illustrated. The first acquisition unit 2011 outputs electrocardiogram data to the second acquisition unit 2012 and the output unit 2017.

The second acquisition unit 2012 acquires the subject's blood pressure data measured within a predetermined period including the measurement date and time of the subject's electrocardiogram data (step S102). In step S102, the second obtaining unit 2012 obtains the blood pressure data of the subject from the storage device 204 with reference to the measurement date and time of the electrocardiographic data, as illustrated. The second acquisition unit 2012 outputs the blood pressure data to the output unit 2017.

The output unit 2017 outputs the electrocardiogram data and the blood pressure data in association with each other (step S103). In step S103, the output unit 2017 associates the electrocardiographic data and the blood pressure data via the communication interface 205 and outputs the data to the external device, as illustrated.

[Second output operation]
FIG. 7 is a flowchart illustrating a second output operation in mobile terminal 2. 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 2011 acquires the subject's electrocardiogram data (step S201). In step S201, the first acquisition unit 2011 acquires the subject's electrocardiographic data from the storage device 204 as illustrated. The first acquisition unit 2011 outputs the electrocardiogram data to the second acquisition unit 2012 and the first determination unit 2014.

The second acquisition unit 2012 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 S202). In step S202, the second acquisition unit 2012 acquires the blood pressure data of the subject from the storage device 204 with reference to the measurement date and time of the electrocardiographic data, as illustrated. Second obtaining unit 2012 outputs the blood pressure data to second determining unit 2015.

The first determining unit 2014 determines whether the electrocardiographic data is normal (step S203). In step S203, the first determination unit 2014 determines whether the electrocardiographic data is normal using the first reference data as illustrated. First determination unit 2014 outputs the first determination result to output unit 2017.

The second determining unit 2015 determines whether the blood pressure data is normal (Step S204). In step S204, the second determination unit 2015 determines whether the blood pressure data is normal using the second reference data as illustrated. Second determination section 2015 outputs the second determination result to output section 2017.

The output unit 2017 outputs at least one of the first determination result and the second determination result (Step S205). In step S205, as illustrated, the output unit 2017 outputs at least one of the first determination result and the second determination result to the external device via the communication interface 205.

[Third output operation]
FIG. 8 is a flowchart illustrating a third output operation in mobile terminal 2. 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 2011 acquires the subject's electrocardiogram data (step S301). In step S301, the first acquisition unit 2011 acquires the subject's electrocardiographic data from the storage device 204 as illustrated. The first acquisition unit 2011 outputs the electrocardiogram data to the second acquisition unit 2012 and the first determination unit 2014.

The second acquisition unit 2012 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 S302). In step S302, the second acquisition unit 2012 acquires the blood pressure data of the subject from the storage device 204 with reference to the measurement date and time of the electrocardiographic data, as illustrated. Second obtaining unit 2012 outputs the blood pressure data to second determining unit 2015.

The first determining unit 2014 determines whether the electrocardiographic data is normal (step S303). In step S303, the first determination unit 2014 determines whether the electrocardiographic data is normal using the first reference data as illustrated. First determination unit 2014 outputs the first determination result to generation unit 2016.

２The second determining unit 2015 determines whether the blood pressure data is normal (Step S304). In step S304, the second determination unit 2015 determines whether the blood pressure data is normal using the second reference data as illustrated. Second determination unit 2015 outputs the second determination result to generation unit 2016.

The generation unit 2016 generates support information in accordance with a combination of the first determination result and the second determination result (Step S305). In step S305, as illustrated, the generation unit 2016 generates support information having different contents according to the combination of the first determination result and the second determination result. The generation unit 2016 outputs the support information to the output unit 2017.

The output unit 2017 outputs the support information (Step S306). In step S306, the output unit 2017 outputs the support information to the external device via the communication interface 205 as illustrated.

§4 Function / Effect As described above, in the present embodiment, the mobile terminal 2 transmits the first biometric data and the second biometric data measured within a predetermined period including the measurement date and time of the first biometric data. It can be output in association.
The portable terminal 2 provides the physician with data that is easy to use for estimating the cause of the disease of the subject who associates the first biometric data and the second biometric data whose measurement date and time is included in the predetermined period with the physician. Diagnosis can be supported. The physician can omit the work of collecting the first biometric data and the second biometric data measured at the same time necessary for estimating the cause of the disease of the subject. The doctor can efficiently examine the subject using the first biometric data and the second biometric data associated based on the measurement date and time.

Further, in the present embodiment, the first biometric data and the second biometric data are different types of biometric data.
The mobile terminal 2 can provide the doctor with data that can be easily used for estimating the cause of the disease of the subject, which is associated with different types of biological data whose measurement date and time is included within the predetermined period. The physician can efficiently examine the subject with the different types of biometric data associated based on the measurement date and time.

Further, in the present embodiment, the mobile terminal 2 can output at least one of the first determination result and the second determination result.
The mobile terminal 2 can assist the doctor's diagnosis by providing the doctor with the first determination result and the second determination result that are easily used for estimating the cause of the disease of the subject. The doctor can quickly grasp the presence / absence of the abnormality of the first and second biometric data by reducing the analysis work of the presence / absence of the first biometric data and the second biometric data.

Further, in the present embodiment, the mobile terminal 2 can output the support information generated according to the combination of the first determination result and the second determination result.
The mobile terminal 2 can support a doctor's diagnosis by providing the doctor with support information that is easy to use for estimating the cause of the disease of the target person. The doctor can quickly determine a diagnosis policy with reference to the support information analyzed based on the first biometric data and the second biometric data.

Further, in the present embodiment, the mobile terminal 2 determines whether the first biometric data is normal based on the comparison result between the first biometric data and the first reference data, and It can be determined whether or not the second biometric data is normal based on the comparison result between the second biometric data and the second reference data.
By using the reference data, the mobile terminal 2 can accurately determine the first biometric data and whether the first biometric data is normal. The doctor can quickly grasp the presence / absence of the abnormality of the first and second biometric data by reducing the analysis work of the presence / absence of the first biometric data and the second biometric data.

Further, in the present embodiment, the mobile terminal 2 can acquire electrocardiographic data as first biological data and blood pressure data as second biological data.
The mobile terminal 2 can provide the doctor with data that is easy to use for estimating the cause of the disease of the subject, which is associated with the electrocardiographic data and the blood pressure data whose measurement date and time is included in the predetermined period. The physician can give a rough idea of where on the subject's body there is an abnormality from medical knowledge of the causal relationship between electrocardiogram and blood pressure.

§5 Modification
(5-1 Modification 1)
In the present embodiment, an example has been described in which the first acquisition unit 2011 acquires electrocardiogram data as first biometric data, and the second acquisition unit 2012 acquires blood pressure data as second biometric data. It is not limited to. The first obtaining unit 2011 may obtain blood pressure data as first biological data, and the second obtaining unit 2012 may obtain electrocardiographic data as second biological data. The first obtaining unit 2011 obtains data indicating physical quantities of a living body other than electrocardiogram and blood pressure as first biometric data, and the second obtaining unit 2012 obtains first biometric data as second biometric data. Data indicating physical quantities of different living bodies may be obtained.

(5-2 Modification 2)
In the present embodiment, the portable terminal 2 associates the biometric data regarding two different physical quantities with each other, but is not limited to this. The mobile terminal 2 may acquire biometric data regarding three different physical quantities whose measurement date and time are included in the predetermined period from the measurement device 1 and associate the biometric data regarding the three different physical quantities with each other.

(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 the present embodiment, the portable terminal 2 has been described as an example of the biometric data providing device, but is not limited thereto. Since the measurement device 1 is configured to communicate with the PHR server 3 and the EHR server 4 via a network, the measurement device 1 may operate as a biological data providing device.

(5-5 Modification 5)
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 (2011) for acquiring first biometric data of the subject;
A second acquisition unit (2012) 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;
An output unit (2017) for outputting the first biometric data and the second biometric data in association with each other;
A biological data providing device (2) comprising:

DESCRIPTION OF SYMBOLS 1 ... Measurement 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 201 processor 202 ROM
203 ... RAM
204 storage device 205 communication interface 206 input unit 207 display unit 208 audio output unit 2011 first acquisition unit 2012 second acquisition unit 2013 third acquisition unit 2014 first judgment unit 2015 ... Second determination unit 2016 ... Generation unit 2017 ... Output unit A1 ... Biological data providing device A2 ... Measuring device A3 ... PHR server

Claims

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;
An output unit that outputs the first biometric data and the second biometric data in association with each other;
A biological data providing device comprising:
The biometric data providing device according to claim 1, wherein the first biometric data and the second biometric data are different types of biometric data.
A first determination unit that determines whether the first biometric data is normal;
A second determination unit that determines whether the second biometric data is normal,
The output unit includes at least one of a first determination result indicating that the first biometric data is normal or abnormal and a second determination result indicating that the second biometric data is normal or abnormal. Output either one,
The biometric data providing device according to claim 1.
A first determination unit that determines whether the first biometric data is normal;
A second determination unit that determines whether the second biometric data is normal,
The subject is determined in accordance with a combination of a first determination result indicating that the first biometric data is normal or abnormal and a second determination result indicating that the second biometric data is normal or abnormal. A generating unit that generates support information that supports estimation of the disease of the subject,
The output unit outputs the support information,
The biometric data providing device according to claim 1.
A third obtaining unit configured to obtain predetermined first reference data to be compared with the first biometric data and second predetermined reference data to be compared with the second biometric data;
The first determination unit compares the first biometric data with the first reference data, and based on a comparison result between the first biometric data and the first reference data, Determine whether the biometric data is normal,
The second determination unit compares the second biometric data with the second reference data, and based on a comparison result between the second biometric data and the second reference data, Determine whether the biometric data is normal,
The biometric data providing device according to claim 3.
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 biometric data providing 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;
An output step of outputting the first biometric data and the second biometric data in association with each other;
A biological data providing 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 providing apparatus according to any one of claims 1 to 6.