WO2019131251A1 - 生体情報処理装置、処理方法、及び処理プログラム - Google Patents

生体情報処理装置、処理方法、及び処理プログラム Download PDF

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Publication number
WO2019131251A1
WO2019131251A1 PCT/JP2018/046246 JP2018046246W WO2019131251A1 WO 2019131251 A1 WO2019131251 A1 WO 2019131251A1 JP 2018046246 W JP2018046246 W JP 2018046246W WO 2019131251 A1 WO2019131251 A1 WO 2019131251A1
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WIPO (PCT)
Prior art keywords
information
blood pressure
biological information
unit
subject
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2018/046246
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English (en)
French (fr)
Japanese (ja)
Inventor
中嶋　宏
洋貴 和田
佐藤　博則
泰司 吉川
民生 上田
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Omron Healthcare Co Ltd
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Omron Healthcare Co Ltd
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Publication date
Application filed by Omron Healthcare Co Ltd filed Critical Omron Healthcare Co Ltd
Priority to CN201880077103.4A priority Critical patent/CN111418021B/zh
Priority to DE112018005855.7T priority patent/DE112018005855T5/de
Publication of WO2019131251A1 publication Critical patent/WO2019131251A1/ja
Priority to US16/906,368 priority patent/US20200321089A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
    • A61B5/02125—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave propagation time
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1118—Determining activity level
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/742—Details of notification to user or communication with user or patient; User input means using visual displays
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B2560/02—Operational features
    • A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • A61B2560/0252—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0271—Thermal or temperature sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/029—Humidity sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6824—Arm or wrist

Definitions

  • the present invention relates to a biological information processing apparatus, a processing method, and a processing program.
  • Blood pressure value is one of the important indicators for judging the health condition of the subject. For this reason, the blood pressure value is reflected on various information derived based on the health condition of the subject.
  • the present invention in one aspect, has been made in view of such circumstances, and an object thereof is to provide a technology capable of properly processing biological information of a subject regardless of the subject. It is.
  • the present invention adopts the following configuration in order to solve the problems described above.
  • a biological information processing apparatus includes a storage device for storing biological information in a unit period including a plurality of time periods of a specific measurement subject, and a living body of the stored specific measurement subject.
  • An estimation unit for estimating the fluctuation characteristic of the biological information based on the information
  • an acquisition unit for acquiring the biological information of the specific subject and information indicating a measurement time of the biological information
  • the acquired specific The correction unit is configured to correct the biological information of the subject under measurement based on the information indicating the measurement time acquired together with the biological information, and the estimated fluctuation characteristic.
  • the estimated information is estimated based on a plurality of pieces of biological information measured at different times. For this reason, based on discrete biological information, it is possible to grasp the fluctuation characteristics of continuous biological information over the entire period.
  • the estimated information is estimated by the biological information of the same subject. For this reason, even if the fluctuation characteristic is unique such that it is not found in the fluctuation characteristic of persons other than the subject, the fluctuation amount of biological information can be appropriately estimated. Therefore, it is possible to provide a technology that enables the biological information of the subject to be appropriately processed regardless of the subject.
  • generation is performed to generate analysis information on biological information of the specific person to be measured based on the biological information corrected by the correction unit and the fluctuation characteristic estimated. You may further provide a part. According to the configuration, it is possible to generate information capable of grasping the relationship between the corrected biological information and the fluctuation characteristic. For this reason, more useful information can be provided when evaluating biological information.
  • the estimation unit may update the estimated fluctuation characteristic based on the acquired biological information of the specific subject.
  • the latest biological information can be incorporated when estimating the fluctuation characteristic. In this way, even if the change characteristic of the biological information changes due to a gradual change of the health condition of the subject, the change can be tracked, and thus, the biological information can be appropriately selected. It can be corrected.
  • the estimation unit is further based on statistical information of fluctuation characteristics of biological information in a unit period including a plurality of periods of the unspecified at least one subject.
  • the fluctuation characteristic of the biological information of a specific subject may be estimated.
  • the biometric information from a specific to-be-measured person can be supplemented with a statistical fluctuation characteristic.
  • interpolation can be performed using the general fluctuation characteristic and the tendency of the rough fluctuation characteristic. Therefore, the biological information of the person to be measured can be corrected within a range that does not greatly deviate from the fluctuation characteristic.
  • the estimation unit may estimate a plurality of fluctuation characteristics corresponding to different periods of the biological information based on the stored biological information of the specific subject. Good.
  • the estimation unit may estimate a plurality of fluctuation characteristics corresponding to different periods of the biological information based on the stored biological information of the specific subject. Good.
  • each of the plurality of fluctuation characteristics can be extracted. This makes it possible to remove each of the plurality of periodic fluctuation components contained in the biological information. Therefore, the biological information of the subject can be processed more properly.
  • the unit period may be set to one year, one week, or one day.
  • variation of biometric information can be considered. Thereby, the biological information of the subject can be processed more properly.
  • the biological information processing apparatus may further include an evaluation unit that generates evaluation information according to the health condition of the specific subject based on the biological information corrected by the correction unit.
  • an evaluation part can evaluate the health condition of a specific to-be-measured person based on the biological information from which the influence of the dispersion
  • the evaluation information may include at least one of information for determining whether to subscribe to insurance and information for calculating a premium or a reward point.
  • the configuration it is possible to reflect the evaluation result of the biometric information of the subject on insurance availability, insurance premiums, or reward points, based on the biometric information.
  • the subject can subscribe to the appropriate insurance, pay the appropriate premium, or receive the appropriate coupon as a result of the fair evaluation regardless of the measurement time.
  • FIG. 1 is a block diagram illustrating the functional configuration of a biological information processing apparatus according to an application example.
  • FIG. 2 is a schematic view illustrating the configuration of a blood pressure processing system including the blood pressure processing device according to the present embodiment.
  • FIG. 3 is a block diagram illustrating the hardware configuration of the blood pressure measurement device according to the present embodiment.
  • FIG. 4 is a block diagram illustrating the hardware configuration of the portable terminal according to the present embodiment.
  • FIG. 5 is a block diagram illustrating the hardware configuration of the blood pressure processing device according to the present embodiment.
  • FIG. 6 is a diagram illustrating variation characteristic estimation information according to the present embodiment.
  • FIG. 7 is a block diagram illustrating the hardware configuration of the blood pressure evaluation device according to the present embodiment.
  • FIG. 1 is a block diagram illustrating the functional configuration of a biological information processing apparatus according to an application example.
  • FIG. 2 is a schematic view illustrating the configuration of a blood pressure processing system including the blood pressure processing device according to the present embodiment.
  • FIG. 3 is
  • FIG. 8 is a block diagram illustrating the functional configuration of the blood pressure processing device according to the present embodiment.
  • FIG. 9 is a diagram illustrating the relationship between blood pressure transition information and fluctuation characteristic estimation information according to the present embodiment.
  • FIG. 10 is a block diagram illustrating the functional configuration of the blood pressure evaluation device according to the present embodiment.
  • FIG. 11 is a flowchart illustrating the procedure of blood pressure analysis processing in the blood pressure processing device according to the present embodiment.
  • FIG. 12 is a flowchart illustrating the procedure of blood pressure evaluation processing in the blood pressure evaluation device according to the present embodiment.
  • FIG. 13 is a diagram for explaining the effect according to the present embodiment.
  • FIG. 14 is a diagram illustrating variation characteristic estimation information according to the first modification of the embodiment.
  • FIG. 15 is a diagram illustrating the fluctuation characteristic estimation information according to the first modification of the present embodiment.
  • FIG. 16 is a block diagram illustrating the functional configuration of a blood pressure processing device according to a third modification of the present embodiment.
  • FIG. 17 is a diagram illustrating the evaluation standard information according to the fourth modification of the embodiment.
  • the biological information processing apparatus includes a storage unit 1, an acquisition unit 2, an estimation unit 3, a correction unit 4, and a generation unit 5.
  • the storage unit 1 stores biological information in a unit period including a plurality of times of a specific subject.
  • the acquisition unit 2 acquires the biological information of a specific subject to be measured, together with information indicating the measurement time of the biological information in the unit period.
  • the acquisition unit 2 acquires, for example, biological information such as the blood pressure value of the subject from the sensor together with information indicating the measurement date and time.
  • the estimation unit 3 estimates the fluctuation characteristic of the biological information based on the stored biological information of the specific subject.
  • the fluctuation characteristic is information indicating how much biological information fluctuates depending on the time within a unit period. In this case, as the number of pieces of biological information stored in the storage unit 1 increases, the accuracy of the estimated fluctuation characteristic can be enhanced.
  • the correction unit 4 corrects the acquired biological information based on the information indicating the measurement time of the biological information acquired at the same time and the fluctuation characteristic estimated by the estimation unit 3.
  • the correction unit 4 extracts, for example, the fluctuation amount of time corresponding to the measurement date and time of the biological information acquired by the acquisition unit 2 from the estimated fluctuation characteristic, and the acquired biological information is extracted Correct according to the amount of fluctuation.
  • the generation unit 5 generates analysis information on biological information of the specific person to be measured based on the biological information corrected by the correction unit 4 and the fluctuation characteristic estimated by the estimation unit 3.
  • the analysis information includes, in addition to the corrected biological information, information obtained by combining the corrected biological information and the estimated fluctuation characteristic.
  • the analysis information includes information indicating how much the biological information of the person to be measured may fluctuate around the corrected biological information.
  • the biological information of the person to be measured includes a fluctuation component depending on the measurement time
  • the influence of the fluctuation component can be reduced. That is, regardless of the measurement time, it becomes possible to properly process the biological information of the person to be measured.
  • the fluctuation characteristic of the blood pressure value of the subject shows a behavior different from the fluctuation characteristic of the blood pressure value generally observed, the blood pressure value of the subject can be properly evaluated.
  • FIG. 2 schematically exemplifies an application scene of the blood pressure processing system according to the present embodiment.
  • the blood pressure processing system according to the present embodiment is a system that provides an evaluation result according to the health condition of the subject by processing the blood pressure values measured from the subject in a format that does not depend on the measurement time.
  • the health condition of the subject is associated with the health risks of the subject.
  • the risk in the present embodiment indicates the risk of development of cerebrocardiovascular disease.
  • the blood pressure processing system includes the blood pressure measurement device 10, the portable terminal 30, the blood pressure processing device 50, and the blood pressure evaluation device 70.
  • the blood pressure measurement device 10 and the blood pressure processing device 50 are communicably connected to each other via the portable terminal 30.
  • the portable terminal 30 is connected to the blood pressure processing device 50 and the blood pressure evaluation device 70 via the network NW.
  • the blood pressure measurement device 10 is, for example, a device which can be attached to any measurement point (for example, the wrist) which is transferred from the administrator of the blood pressure evaluation device 70 and carried by the subject.
  • the blood pressure measurement device 10 measures the blood pressure value of the subject at the measurement point, and generates blood pressure information in which the blood pressure value is associated with the measurement date and time.
  • the measurement date and time is information for specifying the time within a unit period having periodicity, and is an example of the “time” of the present invention. In the following description, "unit period” is also simply referred to as "period".
  • Periods having periodicity include, for example, days, weeks, and years.
  • the time within a period having periodicity includes, for example, time to day, day of week to week, and month to year.
  • the blood pressure measurement device 10 transmits blood pressure information to the portable terminal 30.
  • the mobile terminal 30 is, for example, a terminal that can be carried by the subject.
  • the portable terminal 30 transfers the blood pressure information to the blood pressure processing device 50. Further, when the portable terminal 30 receives, from the blood pressure processing device 50, evaluation information indicating the evaluation result of the blood pressure value, the portable terminal 30 notifies the subject of the evaluation result.
  • the blood pressure processing device 50 is, for example, a server device provided with a functional configuration for evaluating a blood pressure value of a subject.
  • the blood pressure processing device 50 associates a plurality of blood pressure information from the same subject and stores the information as blood pressure transition information.
  • the blood pressure transition information is an example of “biological information of a specific subject in a unit period including a plurality of periods” according to the present invention.
  • the blood pressure processing device 50 estimates, based on the blood pressure transition information, fluctuation characteristic estimation information indicating periodic fluctuation of the blood pressure value of the subject.
  • the fluctuation characteristic estimation information is an example of the “estimated fluctuation characteristic” of the present invention.
  • the blood pressure processing device 50 further acquires blood pressure information on the subject.
  • the blood pressure processing device 50 corrects the blood pressure value so as to eliminate the influence of the periodic fluctuation by considering the periodic fluctuation amount at the measurement date and time of the additionally acquired blood pressure information based on the fluctuation characteristic estimation information. Do.
  • the blood pressure processing device 50 generates analysis information on the blood pressure value of the subject based on the corrected blood pressure value, and transmits the analysis information to the blood pressure evaluation device 70.
  • the analysis information includes, for example, in addition to the corrected blood pressure value, information such as the range in which the blood pressure value of the subject changes, the maximum value of the change, the minimum value, and the mode value.
  • the blood pressure evaluation device 70 is, for example, a server device such as an insurance company provided with a functional configuration for evaluating the blood pressure value of the subject.
  • the blood pressure evaluation device 70 generates evaluation information based on the analysis information, and transmits the evaluation information to the mobile terminal 30.
  • the evaluation information includes any aspect derived based on the health condition of the subject. For example, the evaluation information is given according to the information for determining whether the subject wants to join the insurance, the health insurance premium to which the subject subscribes, or the health condition of the subject. Basic information to calculate reward points such as coupons.
  • the blood pressure processing device 50 can generate analysis information according to the health condition of the subject without being affected by the periodic fluctuation amount of the blood pressure value. Further, the blood pressure evaluation device 70 can notify the subject of evaluation information based on the analysis information.
  • the blood pressure processing device 50 estimates the fluctuation characteristic of the blood pressure value of the subject under measurement as the fluctuation characteristic estimation information from the transition of the blood pressure value of the same subject within the period.
  • the fluctuation characteristic estimation information is used exclusively for correction of the blood pressure value of the subject.
  • the blood pressure processing device 50 properly processes the blood pressure value of the subject under measurement even when the change characteristic of the blood pressure value of the subject under measurement exhibits a behavior different from the fluctuation characteristic of the blood pressure value generally observed. be able to.
  • the blood pressure processing device 50 analyzes information that can be evaluated that the two subjects have different risks. It can be generated.
  • FIG. 3 is a block diagram showing an example of the hardware configuration of the blood pressure measurement device 10 according to the present embodiment.
  • the blood pressure measurement device 10 according to the present embodiment includes a control unit 11, a storage unit 12, a communication unit 13, an operation unit 14, a display unit 15, a blood pressure sensor 16, an acceleration sensor 17, and a temperature and humidity sensor It has eighteen.
  • the control unit 11 includes a central processing unit (CPU), a random access memory (RAM), a read only memory (ROM), and the like, and controls each component according to information processing. Further, the control unit 11 includes a clock (not shown) and has a clock function for posting the current date and time.
  • CPU central processing unit
  • RAM random access memory
  • ROM read only memory
  • the control unit 11 generates blood pressure information, activity information, and environment information based on the measurement results of the blood pressure sensor 16, the acceleration sensor 17, and the temperature and humidity sensor 18.
  • the blood pressure information includes the blood pressure value of the subject based on the measurement by the blood pressure sensor 16.
  • the activity information includes the activity amount, the number of steps, and the sleep state of the subject based on the measurement by the acceleration sensor 17.
  • the environmental information includes the temperature and humidity around the subject based on the measurement by the temperature and humidity sensor 18.
  • Each of the blood pressure information, the activity information, and the environment information is associated with the measurement date and time by the clock.
  • each of the blood pressure information, the activity information, and the environment information may be further associated with a device ID that uniquely identifies the blood pressure measurement device 10.
  • the storage unit 12 is an auxiliary storage device such as, for example, a hard disk drive (HDD) or a solid state drive (SSD).
  • the storage unit 12 temporarily stores the blood pressure information, the activity information, the environment information, and the like until the information is transmitted to the portable terminal 30.
  • the communication unit 13 is a communication interface that manages communication with the mobile terminal 30.
  • the communication unit 13 transmits, for example, blood pressure information, activity information, environment information, and the like to the portable terminal 30.
  • near field communication such as Bluetooth (registered trademark) is applicable for communication with the portable terminal 30 by the communication unit 13, but the present invention is not limited to this.
  • Communication by the communication unit 13 may be, for example, communication via a network NW such as a LAN (Local Area Network), or wired communication using a communication cable.
  • NW Local Area Network
  • the operation unit 14 includes, for example, a user interface such as a touch panel and operation buttons.
  • the operation unit 14 detects an operation by the subject via the user interface, and outputs a signal indicating the content of the operation to the control unit 11.
  • the display unit 15 includes, for example, a display screen (for example, a liquid crystal display (LCD) or an electroluminescence (EL) display) and an indicator.
  • the display unit 15 displays information in accordance with a signal from the control unit 11 and notifies the subject of measurement.
  • the blood pressure sensor 16 measures the blood pressure value of the subject.
  • Blood pressure values include, for example, representative indices such as systolic and diastolic blood pressure.
  • the blood pressure value is described as systolic blood pressure as an example, but diastolic blood pressure and other indexes may be used instead of systolic blood pressure, and even if a plurality of these indexes are used in combination Good.
  • the blood pressure sensor 16 may be, for example, a continuous measurement type capable of measuring the blood pressure of the subject per beat (continuously) of the heartbeat, and discontinuous measurement capable of measuring in a spot (discontinuously) at a predetermined time. It may be a type.
  • the method of measuring a blood pressure continuously is not restricted to the above-mentioned example, and the method etc. of detecting a pulse wave using a light emitting element are applicable suitably.
  • a method (oscillometric method) of detecting a pulse wave by pressing a blood vessel using a cuff as a pressure sensor is applicable.
  • the acceleration sensor 17 detects the acceleration of the person to be measured which occurs at the mounting point of the blood pressure measurement device 10 as a set of three axis components.
  • the acceleration sensor 17 may further include a gyro sensor, and in addition to the acceleration, the angular velocity may be further detected as a set of three axis components.
  • the temperature and humidity sensor 18 measures the temperature and humidity around the subject.
  • FIG. 4 is a block diagram showing an example of the hardware configuration of the portable terminal 30 according to the present embodiment.
  • the mobile terminal 30 according to the present embodiment includes a control unit 31, a storage unit 32, a communication unit 33, an operation unit 34, a display unit 35, and a GPS (Global Positioning System) receiver 36.
  • a GPS Global Positioning System
  • the control unit 31 and the storage unit 32 are the same as the control unit 11 and the storage unit 12 of the blood pressure measurement device 10, respectively. However, until the storage unit 32 of the portable terminal 30 transmits the blood pressure information, the activity information, the environment information, the position information generated by the GPS receiver 36 and the like received from the blood pressure measurement device 10 to the blood pressure processing device 50 Temporarily store these pieces of information.
  • the communication unit 33 is a communication interface that performs communication with the blood pressure measurement device 10, the blood pressure processing device 50, and the blood pressure evaluation device 70.
  • the communication unit 33 receives, for example, blood pressure information, activity information, environmental information, and the like from the blood pressure measurement device 10. Further, the communication unit 33 transmits blood pressure information, activity information, environment information, position information, and the like to the blood pressure processing device 50, and receives evaluation information from the blood pressure evaluation device 70.
  • communication with the blood pressure processing device 50 and the blood pressure evaluation device 70 by the communication unit 33 may be, for example, communication via the network NW, but is not limited thereto. Communication may be applied.
  • the operation unit 34 and the display unit 35 are the same as the operation unit 14 and the display unit 15 of the blood pressure measurement device 10, respectively.
  • the GPS receiver 36 measures the position of the mobile terminal 30, and generates position information.
  • the position information includes, for example, the positioning date and time, and the latitude and longitude of the portable terminal 30 at the positioning date and time.
  • the positioning by the GPS receiver 36 can be performed, for example, in synchronization with the measurement of the blood pressure sensor 16 of the blood pressure measurement device 10.
  • FIG. 5 is a block diagram showing an example of the hardware configuration of the blood pressure processing device 50 according to the present embodiment.
  • the blood pressure processing device 50 according to the present embodiment includes a control unit 51, a storage unit 52, a communication unit 53, and a drive 54.
  • the control unit 51 and the storage unit 52 are similar to the control unit 11 and the storage unit 12 of the blood pressure measurement device 10, respectively.
  • the storage unit 52 of the blood pressure processing apparatus 50 includes the blood pressure processing program 521 executed by the control unit 51, the blood pressure transition information 522 used in the blood pressure processing program 521, the subject information 523, and the fluctuation characteristic estimation information 524 Remember.
  • the communication unit 53 is a communication interface that manages communication with the portable terminal 30 and the blood pressure evaluation device 70.
  • the communication unit 53 receives, for example, blood pressure information, activity information, environment information, position information, and the like from the portable terminal 30.
  • the communication unit 53 also transmits analysis information of the blood pressure value to the blood pressure evaluation device 70.
  • the drive 54 is, for example, a CD (Compact Disk) drive, a DVD (Digital Versatile Disk) drive, or the like, and is a device for reading a program stored in the storage medium 55.
  • the type of drive 54 may be appropriately selected according to the type of storage medium 55.
  • the blood pressure processing program 521, the blood pressure transition information 522, the subject information 523 and the fluctuation characteristic estimation information 524 may be stored in the storage medium 55.
  • the storage medium 55 stores information such as a program by an electric, magnetic, optical, mechanical or chemical action so that the computer or other device, machine or the like can read information such as a recorded program.
  • Media The blood pressure processing device 50 may acquire the blood pressure processing program 521, the blood pressure transition information 522, the subject information 523, and the fluctuation characteristic estimation information 524 from the storage medium 55.
  • the blood pressure processing program 521 is a program for causing the blood pressure processing device 50 to execute a blood pressure analysis process (FIG. 11) for analyzing and processing a blood pressure value described later.
  • the blood pressure transition information 522 is information obtained by aggregating a plurality of blood pressure information on the same subject. Each of the plurality of blood pressure information includes blood pressure values measured at different measurement times within the period. Thereby, the blood pressure value of the subject corresponding to the blood pressure transition information 522 can be discretely grasped over the entire period.
  • the subject information 523 is information on a subject of blood pressure values that can be evaluated.
  • the to-be-measured person information 523 includes, for example, personal information such as name, age, sex, address, obesity degree, and presence or absence of smoking, and device ID of the blood pressure measurement device 10 possessed by the person corresponding to the personal information. Are associated with each other and stored in advance in the storage unit 52.
  • the degree of obesity includes, for example, body fat percentage and BMI (Body Mass Index).
  • the subject information 523 is appropriately updated according to a report from the subject.
  • the fluctuation characteristic estimation information 524 is information indicating that the blood pressure value periodically fluctuates with a period of a predetermined length as a cycle. Also, the fluctuation characteristic estimation information 524 is estimated based on the blood pressure transition information 522 of the same person to be measured. That is, the fluctuation characteristic estimation information 524 continuously indicates the fluctuation characteristic of the blood pressure value of the subject to be associated with the blood pressure transition information 522 and the most probable fluctuation amount in each period in the cycle over the entire period. .
  • FIG. 6 is a diagram illustrating an example of the fluctuation characteristic estimation information 524 according to the present embodiment.
  • the fluctuation characteristic estimation information 524 indicates that the blood pressure value periodically fluctuates around a predetermined average value, with one year as a cycle.
  • two fluctuation curves L10 and L11 estimated about a mutually different to-be-measured person are shown.
  • the variation curves L10 and L11 are all variation characteristics of the person to be measured in the same region of the same country (for example, Japan).
  • the fluctuation amount of the blood pressure value is an average value (for example, "0") according to the month (or the season). Move up and down. More specifically, in the fluctuation curves L10 and L11, for example, the fluctuation amount of the blood pressure value is generally higher than the average value (the fluctuation amount “0” of the blood pressure value) in the period from December to March (winter) It becomes lower than the average value in the period from June to September (summer). In addition, for example, the fluctuation amount of the blood pressure value changes near the average value in the period from March to June (spring) and the period from September to December (autumn).
  • the fluctuation range of these fluctuation curves L10 and L11 can be about 10 to 20 mmHg at the maximum.
  • the fluctuation characteristic estimation information 524 is unique to each subject, the fluctuation characteristics of the fluctuation curves L10 and L11 do not necessarily coincide.
  • the fluctuation curve L11 has a wider fluctuation range than the fluctuation curve L10, and the timing when the fluctuation amount is maximum and minimum is later than about one month than the fluctuation curve L10.
  • FIG. 6 shows the fluctuation characteristic of the blood pressure value acquired from the subject living in Japan.
  • the variation characteristics of the blood pressure value obtained from the person may differ from the variation characteristics shown in FIG.
  • FIG. 7 is a block diagram showing an example of the hardware configuration of the blood pressure evaluation device 70 according to the present embodiment.
  • the blood pressure evaluation device 70 according to the present embodiment includes a control unit 71, a storage unit 72, a communication unit 73, and a drive 74.
  • the control unit 71 and the storage unit 72 are the same as the control unit 11 and the storage unit 12 of the blood pressure measurement device 10, respectively.
  • the storage unit 72 of the blood pressure evaluation device 70 stores a blood pressure evaluation program 721 executed by the control unit 71, subject person information 722 used in the blood pressure evaluation program 721, evaluation reference information 723 and the like.
  • the communication unit 73 is a communication interface that manages communication with the portable terminal 30 and the blood pressure processing device 50.
  • the communication unit 73 receives, for example, analysis information and the like from the blood pressure processing device 50. Further, the communication unit 73 transmits the evaluation information of the blood pressure value to the portable terminal 30.
  • the drive 74 and the storage medium 75 are similar to the drive 54 and the storage medium 55 of the blood pressure processing device 50.
  • the blood pressure evaluation program 721 and the measurement subject information 722 and the evaluation reference information 723 may be stored in the storage medium 75. That is, the blood pressure evaluation device 70 may obtain the blood pressure evaluation program 721 and the measurement subject information 722 and the evaluation reference information 723 from the storage medium 75.
  • the blood pressure evaluation program 721 is a program for causing the blood pressure evaluation device 70 to execute a blood pressure evaluation process (FIG. 12) described later.
  • the subject information 722 is the same as the subject information 523 of the blood pressure processing device 50.
  • the evaluation standard information 723 is information for defining the relationship between the blood pressure value and the evaluation result. Evaluation criteria information 723 can take various aspects according to the content of evaluation. In the case where the evaluation content is information indicating whether the subject's insurance can be enrolled, the evaluation criteria information 723 associates the information indicating that insurance enrollment is not possible with the blood pressure value exceeding the threshold, for example, using the blood pressure value as a threshold. The information indicating that insurance coverage is acceptable is associated with the blood pressure value below the threshold. Also, when the evaluation content is the premium or reward point of the subject, the evaluation criteria information 723 associates the premium or reward point with the blood pressure value, for example, using the output value of the function including the blood pressure value as an argument. . As the evaluation reference information 723, different reference may be set according to the attribute information of the subject.
  • FIG. 8 is a block diagram schematically showing an example of a functional configuration of the blood pressure processing device 50 of the blood pressure processing system according to the present embodiment.
  • the control unit 51 of the blood pressure processing device 50 develops the blood pressure processing program 521 stored in the storage unit 52 in the RAM. Then, the control unit 51 causes the CPU to interpret and execute the blood pressure processing program 521 developed in the RAM to control each component.
  • the blood pressure processing device 50 functions as a computer including an acquisition unit 511, a fluctuation characteristic estimation unit 512, an analysis unit 513, and an output unit 514.
  • the acquisition unit 511 acquires various information measured by the blood pressure measurement device 10 and the portable terminal 30. Specifically, for example, the acquisition unit 511 acquires blood pressure information, and transfers the blood pressure information to the storage unit 52 and the analysis unit 513. The blood pressure information transferred to the storage unit 52 is collected for each subject and stored as blood pressure transition information 522.
  • the fluctuation characteristic estimation unit 512 estimates fluctuation characteristic estimation information 524 for the subject corresponding to the blood pressure transition information 522 based on the blood pressure transition information 522. The estimation of the fluctuation characteristic estimation information 524 by the fluctuation characteristic estimation unit 512 will be described later.
  • the analysis unit 513 corrects and analyzes the blood pressure value while correcting the periodic fluctuation amount inherent to the blood pressure value.
  • the analysis unit 513 includes a correction unit 515 and an analysis information generation unit 516.
  • the correction unit 515 When receiving the blood pressure information from the acquisition unit 511, the correction unit 515 extracts the measurement date and time of the blood pressure information.
  • the correction unit 515 reads out the fluctuation characteristic estimation information 524 and specifies a time within a cycle corresponding to the measurement date and time extracted from the blood pressure information.
  • the correction unit 515 extracts the fluctuation amount of the blood pressure value corresponding to the time within the specified cycle from the fluctuation characteristic estimation information 524, and corrects the blood pressure value based on the fluctuation amount. Specifically, for example, the correction unit 515 subtracts the periodic fluctuation amount from the blood pressure value to calculate a corrected blood pressure value that does not depend on the measurement date and time. More specifically, the corrected blood pressure value may be calculated to be an average value of blood pressure values that fluctuate within a period.
  • the correction unit 515 rewrites the blood pressure value in the blood pressure information to the corrected blood pressure value to generate correction information.
  • the correction unit 515 sends the generated correction information to the analysis information generation unit 516.
  • the analysis information generation unit 516 uses the variation characteristic estimation information 524 to generate analysis information including information that can be used to evaluate the blood pressure value together with the correction information.
  • the analysis information may be combined with the corrected blood pressure value at the time of evaluation by the blood pressure evaluation device 70 described later, thereby enhancing the accuracy of the evaluation information.
  • the analysis information includes the fluctuation range of the blood pressure value in the period, the maximum value, the minimum value, the mode value, and the like. Thereby, information such as how much the blood pressure value of the person to be measured may fluctuate with the corrected blood pressure value as an average can be taken into consideration in the evaluation.
  • the analysis information generation unit 516 sends the generated analysis information to the output unit 514.
  • the output unit 514 outputs the evaluation information to the blood pressure evaluation device 70.
  • FIG. 9 is a diagram illustrating an example of the relationship between blood pressure transition information 522 and fluctuation characteristic estimation information 524 according to the present embodiment.
  • the blood pressure transition information 522 includes blood pressure information P21, P22, P23, P24, P25, and P26 measured from the same subject at six measurement timings.
  • a fluctuation curve L20 is shown as fluctuation characteristic estimation information 524 estimated from the blood pressure transition information 522. It is desirable that the fluctuation curve L20 accurately approximate the blood pressure fluctuation of the subject over the entire period.
  • the fluctuation characteristic estimation unit 512 estimates the fluctuation curve L20 such that the error from each of the blood pressure information P21 to P26 is minimized.
  • the estimation method for example, the least squares method or the like can be appropriately applied, but the present invention is not limited to this, and any maximum likelihood estimation method can be applied. That is, fluctuation characteristic estimation unit 512 may estimate fluctuation curve L20 by weighting each of blood pressure information P21 to P26. Specifically, for example, among the blood pressure information P21 to P26, the fluctuation characteristic estimation unit 512 gives higher weighting to those whose measurement time is apart from other blood pressure information, and measures at substantially the same measurement time. Lower weighting may be applied to multiple blood pressure information.
  • the fluctuation characteristic estimation unit 512 may formulate the fluctuation characteristic of the estimated fluctuation curve L20 in an arbitrary form such as a polynomial or a trigonometric function.
  • the analysis unit 513 can estimate the amount of variation based on the variation characteristic estimation information 524 even for measurement timing not directly included in the blood pressure transition information 522 within the period.
  • the fluctuation curve L20 may be mathematically formulated such that the fluctuation amount from the average value Pc becomes an output value. Thereby, the fluctuation curve L20 can be applied by being shifted up and down in the blood pressure value direction regardless of the value of the average value Pc.
  • FIG. 10 is a block diagram schematically showing an example of a functional configuration of the blood pressure evaluation device 70 of the blood pressure processing system according to the present embodiment.
  • the control unit 71 of the blood pressure evaluation device 70 deploys the blood pressure evaluation program 721 stored in the storage unit 72 in the RAM. Then, the control unit 71 causes the CPU to interpret and execute the blood pressure evaluation program 721 developed in the RAM to control each component.
  • the blood pressure evaluation device 70 functions as a computer including an acquisition unit 711, an evaluation unit 712, and an output unit 713.
  • the acquisition unit 711 acquires the analysis information output from the blood pressure processing device 50.
  • the evaluation unit 712 When the evaluation unit 712 receives the analysis information, the evaluation unit 712 reads the measurement subject information 722 and specifies a person associated with the device ID in the analysis information. The evaluation unit 712 sets evaluation reference information 723 according to the attribute information of the identified person, and generates evaluation information according to the corrected blood pressure value. In addition to the corrected blood pressure value, the evaluation unit 712 may generate the evaluation information by additionally considering information such as the fluctuation range of the blood pressure value.
  • the evaluation information may be, for example, information for determining whether the subject wants to join the insurance as a result of the evaluation, a premium of the health insurance to which the subject takes out, or the health status of the subject. It may include information for calculating a reward point such as a coupon given accordingly.
  • the output unit 713 outputs the evaluation information to the portable terminal 30.
  • FIG. 11 is a flow chart schematically showing an example of a procedure of blood pressure analysis processing in the blood pressure processing device 50 according to the present embodiment.
  • Step ST10 the control unit 51 causes the storage unit 52 to store a plurality of blood pressure information on the same subject as the blood pressure transition information 522. It is assumed that the subject can be identified by the subject information 523.
  • Step ST20 the control unit 51 functions as the fluctuation characteristic estimation unit 512, and estimates the fluctuation characteristic estimation information 524 based on the blood pressure transition information 522 stored in step ST10.
  • Step ST30 the control unit 51 causes the communication unit 53 to function as the acquisition unit 511, and acquires blood pressure information measured by the blood pressure measurement device 10 via the mobile terminal 30.
  • the measurement timing of the acquired blood pressure information may be different from the measurement timing of the blood pressure information in the blood pressure transition information 522 stored in step ST10.
  • the communication unit 53 may further acquire activity information, environment information, and position information.
  • Step ST40 the control unit 51 functions as the correction unit 515 and generates correction information of the blood pressure information acquired in step ST30 based on the fluctuation characteristic estimation information 524 stored in step ST20.
  • control unit 51 extracts the fluctuation amount of the blood pressure value corresponding to the measurement date and time in the blood pressure information from the fluctuation characteristic estimation information 524.
  • the control unit 51 subtracts the extracted fluctuation amount from the blood pressure value to calculate a corrected blood pressure value that does not depend on periodic fluctuation.
  • the control unit 51 generates correction information including the corrected blood pressure value, and transmits the correction information to the analysis information generation unit 516.
  • Step ST50 the control unit 51 functions as an analysis information generation unit 516, and generates analysis information based on the correction information generated in step ST40.
  • control unit 51 calculates a fluctuation range of the blood pressure value around the corrected blood pressure value based on the fluctuation characteristic estimation information 524 and adds it to the correction information to generate analysis information.
  • control unit 51 causes the communication unit 53 to function as the output unit 514, and outputs the analysis information generated in step ST50 to the blood pressure evaluation device 70.
  • FIG. 12 is a flow chart schematically showing an example of a procedure of blood pressure evaluation processing in the blood pressure evaluation device 70 according to the present embodiment.
  • Step ST60 the control unit 71 causes the communication unit 73 to function as the acquisition unit 711, and acquires analysis information from the blood pressure processing device 50.
  • Step ST70 the control unit 71 functions as the evaluation unit 712, and evaluates the analysis information acquired in step ST50 based on the measurement subject information 722 and the evaluation reference information 723, and generates evaluation information.
  • control unit 71 specifies attribute information in the subject information 722 corresponding to the blood pressure value in the blood pressure information through the device ID in the analysis information. Further, the control unit 71 sets the evaluation reference information 723 according to the specified attribute information. The control unit 71 evaluates the corrected blood pressure value and other information in the analysis information based on the set evaluation standard information 723 and generates evaluation information including the evaluation result.
  • Step ST80 the control unit 71 causes the communication unit 73 to function as the output unit 713, and outputs the evaluation information generated in step ST70 to the portable terminal 30.
  • the output evaluation information is notified to the subject, for example, via the display unit 35 of the portable terminal 30.
  • FIG. 13 is a diagram for explaining an example of the effect of the present embodiment.
  • the case where two pieces of fluctuation characteristic estimation information 524 having different fluctuation characteristics are estimated from different persons to be measured in step ST20 is shown.
  • the two pieces of fluctuation characteristic estimation information 524 are respectively shown as fluctuation curves L30 and L31. That is, the person to be measured corresponding to the fluctuation curve L30 has a wider fluctuation range of the blood pressure than the person to be measured corresponding to the fluctuation curve L31.
  • step ST40 the control unit 51 applies the fluctuation curves L30 and L31 to the blood pressure information P31 and P33, respectively, and corrects them to the correction information P32 and P34 including the corrected blood pressure value. Since the fluctuation curves L30 and L31 have different fluctuation ranges, the corrected blood pressure values of the correction information P32 and P34 become different values. In the example of FIG. 13, the corrected blood pressure value Pc1 of the correction information P32 is larger than the corrected blood pressure value Pc2 of the correction information P34.
  • each blood pressure value is determined according to the measurement subject. Can be corrected. Therefore, in step ST50, the control unit 51 can generate corrected blood pressure values Pc1 and Pc2 from the two blood pressure information P31 and P33. Therefore, the blood pressure processing device 50 can provide the blood pressure evaluation device 70 with information that can be evaluated that the blood pressure information P31 and P33 have different risks.
  • step ST50 in addition to the corrected blood pressure values Pc1 and Pc2, the control unit 51 analyzes information indicating how much the blood pressure value of the subject changes with the corrected blood pressure values Pc1 and Pc2 as an average value. It can be included in the information.
  • the blood pressure processing device 50 can provide the blood pressure evaluation device 70 with information for more accurately evaluating the risk of the subject.
  • the period of blood pressure fluctuation in the fluctuation characteristic estimation information 524 is one year, but in the period of blood pressure fluctuation, the blood pressure fluctuation is statistically periodic. As long as it has a period, it is not limited to one year and any period is applicable.
  • the cycle of blood pressure fluctuation may be set to one week or one day.
  • FIGS. 14 and 15 are diagrams illustrating an example of the variation characteristic estimation information 524 according to the first modification of the present embodiment.
  • the fluctuation characteristic estimation information 524 indicates that the blood pressure value fluctuates periodically with a cycle of one week and one day.
  • each variation curve is a variation characteristic of the subject who works during the day of the weekday and rests on the night of the weekday and on Saturday and Sunday.
  • the fluctuation amount of the blood pressure value moves up and down with respect to the average value (for example, “0”) according to the day of the week. More specifically, for example, the fluctuation amount of the blood pressure value is higher than the average value in the period from Monday to Tuesday (the beginning of the week), and is lower than the average value in the period from Wednesday to Sunday (others) Become.
  • the fluctuation amount of the blood pressure value fluctuates with respect to the average value (for example, “0”) according to the time. More specifically, for example, the fluctuation amount of the blood pressure value is higher than the average value in the period (daytime) from dawn (for example 6 o'clock) to sunset (for example 18 o'clock), and from sunset to dawn (night ) Is lower than the average value.
  • fluctuation components of various cycles may be superimposed on the blood pressure value obtained from the subject.
  • the fluctuation characteristic estimation information 524 is not limited to the fluctuation characteristic and the fluctuation amount illustrated in FIG. 14 and FIG. 15, but is different from the examples and trends in FIG. 14 and FIG.
  • Arbitrary fluctuation characteristics and fluctuation amounts may be superimposed.
  • a cycle of a working day and a rest day can be considered with a weekly cycle.
  • the variation characteristic of the blood pressure value acquired from the subject who works on weekdays and rests on Saturday and Sunday is shown in FIG.
  • the variation characteristic of the acquired blood pressure value may be different from the variation characteristic shown in FIG. Also, for example, as one of the causes that cause periodic fluctuations in blood pressure for one day, a cycle of working time and rest time with a cycle of one day can be considered. For this reason, as described above, although the variation characteristic of the blood pressure value acquired from the subject who works during the day and rests at night is shown in FIG. 15, it is acquired from the subject who works at night The variation characteristics of the blood pressure value may be different from the variation characteristics shown in FIG. Also, for example, the fluctuation characteristic of the blood pressure value acquired from a non-employed (for example, not working in any time zone of any day of the week) may be different from the fluctuation characteristic shown in FIG. 14 and FIG.
  • the fluctuation characteristic estimation unit 512 may estimate the fluctuation characteristic estimation information 524 for each of the plurality of different cycles based on the blood pressure transition information 522.
  • the fluctuation characteristic estimation unit 512 may estimate the plurality of fluctuation characteristic estimation information 524 by filtering the plurality of blood pressure information in the blood pressure transition information 522.
  • the fluctuation characteristic estimation unit 512 performs Fourier transform on a plurality of blood pressure information to perform frequency conversion, and extracts a frequency component having a desired unit period as a period to obtain a plurality of different periods. Fluctuation characteristic estimation information 524 may be estimated.
  • correction unit 515 may sequentially correct the blood pressure value based on each of the plurality of pieces of fluctuation characteristic estimation information 524 estimated for each of the different cycles.
  • the blood pressure information used to generate evaluation information is not used to estimate the fluctuation characteristic estimation information 524.
  • the present invention is not limited to this.
  • the fluctuation characteristic estimation information 524 may be estimated by the blood pressure transition information 522 reflecting the latest blood pressure information.
  • the blood pressure transition information 522 may discard blood pressure information in the past from a predetermined period (for example, one year) from the time when the latest blood pressure information is acquired. As a result, since the fluctuation characteristic estimation information 524 can be updated with the latest blood pressure information, the influence can be reduced when the fluctuation characteristic of the subject changes with the passage of time.
  • the fluctuation characteristic of the blood pressure value of the subject is, for example, when the subject starts or stops smoking, and migrates to a land of a different climate (for example, from a place with severe temperature difference to a moderate place). In the case of migration, etc., it is possible to change discontinuously. For this reason, when there is a change in the presence or absence of smoking or the address at the time of updating the subject information 523 and when the position information from the portable terminal 30 indicates a different position from before, the blood pressure transition information 522 is newly added up. You may do it again. In this way, it is possible to take into consideration the influence of changes in the fluctuation characteristic of the blood pressure value of the subject as well as changes in the living environment and lifestyle of the subject.
  • the fluctuation characteristic estimation information 524 is estimated by combining the blood pressure transition information 522 and statistical information of fluctuation characteristics of biological information in a unit period including a plurality of time periods of at least one person to be measured. It may be done.
  • FIG. 16 is a block diagram illustrating a functional configuration of a blood pressure processing device 50 according to a third modification of the present embodiment.
  • the fluctuation characteristic estimation unit 512 estimates the fluctuation characteristic estimation information 524 based on the blood pressure transition information 522 and the fluctuation characteristic statistical information 525.
  • the fluctuation characteristic statistical information 525 is statistically calculated based on blood pressure information acquired from an unspecified number of subjects different from a specific subject to be evaluated, and stored in the storage unit 52 in advance. That is, the fluctuation characteristic statistical information 525 indicates the fluctuation amount according to the fluctuation characteristic of the blood pressure value common to the majority of the persons used to generate the information, that is, the most probable fluctuation amount at the time in the cycle.
  • the fluctuation characteristic of the blood pressure value of a particular subject may be different from the statistical fluctuation characteristic of the blood pressure value of an unspecified number of subjects.
  • the fluctuation characteristic of the blood pressure value of a specific subject is different from the statistical fluctuation characteristic in a part of the whole period, but the general fluctuation tendency of both is often the same. Be done.
  • blood pressure information of an amount necessary to estimate the fluctuation characteristic estimation information 524 with sufficient accuracy can not be acquired from a specific subject.
  • the fluctuation characteristic estimation unit 512 applies the fluctuation characteristic statistical information 525 to the period to obtain the fluctuation characteristic estimation information 524. It may be estimated.
  • the fluctuation characteristic estimation information 524 can be estimated without departing from the overall fluctuation tendency. Therefore, the blood pressure value of the subject can be properly processed.
  • the blood pressure processing device 50 and the blood pressure evaluation device 70 are described as being configured in different server devices, but the present invention is not limited to this.
  • each functional configuration in the blood pressure processing device 50 and the blood pressure evaluation device 70 may be configured in one server device.
  • the target of correction by the correction unit 515 may not be limited to the blood pressure value.
  • the correction unit 515 may generate the correction information by correcting the evaluation reference information 723 according to the measurement time in the blood pressure information.
  • FIG. 17 is a diagram illustrating evaluation standard information 723 according to the fourth modified example of the present embodiment.
  • the correction unit 515 may change, for example, the threshold value Ps based on fluctuation characteristics respectively corresponding to each of the persons to be measured. That is, the correction unit 515 corrects the threshold Ps as the corrected threshold L40 for the measurer of the blood pressure information P41 and corrects as the corrected threshold L41 for the measurer of the blood pressure information P42. It is also good.
  • the corrected threshold values L40 and L41 preferably have a shape that correlates with the fluctuation characteristic estimation information 524 of the corresponding person to be measured.
  • the evaluation unit 712 calculates the blood pressure information P41 and P42. It can be evaluated that the risks are different.
  • the fluctuation characteristic estimation information 524 may be information that becomes discontinuous at a certain time within the period.
  • the fluctuation characteristic estimation information 524 may be information in which fluctuation amounts are determined for four seasons of spring, summer, autumn, and winter.
  • the said embodiment demonstrated the case where it became the average value of the blood pressure value which fluctuate
  • the corrected blood pressure value is applicable to the periodically changing blood pressure value maximum value, minimum value, mode value, and any other value.
  • each function structure in the blood pressure processing apparatus 50 was demonstrated as what is contained in the server apparatus connected to the portable terminal 30 via the network NW, it is not restricted to this.
  • each functional configuration in the blood pressure processing device 50 may be included in the blood pressure measurement device 10 and the portable terminal 30.
  • the blood-pressure measurement apparatus 10 was demonstrated as what is an apparatus which a to-be-measured person can mount
  • the blood pressure measurement device 10 may be a stationary device.
  • the present invention is not limited to this.
  • the present invention is applied to biological information that may be affected by time (year, month, day) among other biological information such as pulse, body temperature, blood sugar level, and electrocardiogram. Good.
  • the present invention is not limited to the above embodiment, and can be variously modified in the implementation stage without departing from the scope of the invention.
  • the embodiments may be implemented in combination as appropriate, in which case the combined effect is obtained.
  • various inventions are included in the above-described embodiment, and various inventions can be extracted by a combination selected from a plurality of disclosed configuration requirements. For example, even if some configuration requirements are deleted from all the configuration requirements shown in the embodiment, the problem can be solved, and if an effect is obtained, a configuration from which this configuration requirement is removed can be extracted as the invention.
  • a storage device for storing biological information in a unit period including a plurality of periods of time of a specific subject;
  • An estimation unit configured to estimate a fluctuation characteristic of the biological information based on the stored biological information of the specific person to be measured;
  • An acquisition unit for acquiring the biological information of the specific subject and information indicating the measurement time of the biological information;
  • a correction unit that corrects the acquired biological information of the specific person to be measured based on the information indicating the measurement time acquired together with the biological information, and the estimated fluctuation characteristic;
  • a biological information processing apparatus comprising:
  • a biometric information processing method performed by a biometric information processing apparatus including a storage device, the method comprising: A process of storing biological information in a unit period including a plurality of time periods of a specific subject, Estimating the fluctuation characteristic of the biological information based on the stored biological information of the specific person to be measured; Acquiring the biological information of the specific subject and information indicating the measurement time of the biological information; Correcting the acquired biological information of the specific person to be measured based on the information indicating the measurement time acquired together with the biological information, and the estimated fluctuation characteristic;
  • a biological information processing method comprising:

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PCT/JP2018/046246 2017-12-27 2018-12-17 生体情報処理装置、処理方法、及び処理プログラム Ceased WO2019131251A1 (ja)

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CN201880077103.4A CN111418021B (zh) 2017-12-27 2018-12-17 生物体信息处理装置、处理方法以及处理程序
DE112018005855.7T DE112018005855T5 (de) 2017-12-27 2018-12-17 Verarbeitungsvorrichtung für biologische informationen, verarbeitungsverfahren und verarbeitungprogramm
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