WO2020049899A1 - Biological information processing apparatus, processing method, and processing program - Google Patents

Biological information processing apparatus, processing method, and processing program Download PDF

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Publication number
WO2020049899A1
WO2020049899A1 PCT/JP2019/029855 JP2019029855W WO2020049899A1 WO 2020049899 A1 WO2020049899 A1 WO 2020049899A1 JP 2019029855 W JP2019029855 W JP 2019029855W WO 2020049899 A1 WO2020049899 A1 WO 2020049899A1
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WO
WIPO (PCT)
Prior art keywords
information
blood pressure
biological information
subject
unit
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PCT/JP2019/029855
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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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オムロンヘルスケア株式会社
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Publication of WO2020049899A1 publication Critical patent/WO2020049899A1/en

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • 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 pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • 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
    • 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
    • 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
    • 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
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof

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 biological information.
  • the blood pressure value is one of important indicators for judging the health condition of the subject. For this reason, the blood pressure value is reflected in various information derived based on the health condition of the subject.
  • the measured value of the biological information such as the blood pressure value is likely to change due to external factors such as the environment, care must be taken when using the measured biological information such as the blood pressure value for ancillary services.
  • the blood pressure value can change depending on the measurement timing. Therefore, even with the blood pressure value measured from the same person, a difference may occur in the blood pressure value depending on the measurement timing. For this reason, if the measured blood pressure value is used for the service as it is without considering the measurement time, the subject may not be able to receive the desired service depending on the measurement time.
  • the present invention in one aspect, has been made in view of such circumstances, and an object of the present invention is to provide a technology capable of appropriately processing biological information of a subject regardless of measurement timing. is there.
  • the present invention employs the following configuration in order to solve the above-described problems.
  • the biological information processing apparatus is a storage device that stores statistical information of variation characteristics of biological information in a unit period including a plurality of periods of at least one unspecified subject,
  • An acquisition unit that acquires the biological information of a specific subject, together with information indicating the measurement time of the biological information, and the acquired biological information of the specific subject, which represents the measurement time acquired together with the biological information.
  • a correction unit configured to perform correction based on the information and the statistical information of the variation characteristics stored in the storage device.
  • the biological information of the specific subject is corrected based on the specific statistical information on the fluctuation of the biological information of at least one unspecified subject in the unit period. For this reason, even if there is a variation in the biological information of a specific subject due to a difference in measurement time, it is possible to obtain biological information in which the influence of the variation is eliminated. That is, it is possible to obtain the biological information in which the influence of the variation due to the difference in the measurement time is eliminated based on the variation characteristic of the general biological information which is commonly seen by all the subjects.
  • the biological information of the specific person to be measured is based on the biological information corrected by the correction unit and the statistical information of the variation characteristics stored in the storage device.
  • the information processing apparatus may further include a generation unit that generates analysis information. According to this configuration, it is possible to generate information that can grasp the relationship between the corrected biological information and the variation characteristics. Therefore, more useful information can be provided when evaluating the biological information.
  • the biometric information processing apparatus may further include an updating unit that updates the statistical information of the variation characteristics stored in the storage device based on the acquired biometric information of the specific subject. Good. According to this configuration, it is possible to take into account the variation characteristics of the biological information characteristically seen by the specific subject, in addition to the variation characteristics of the biological information generally seen by the unspecified subject. Therefore, the biological information of the subject can be more appropriately processed.
  • the unit period may be set to one year, one week, or one day. According to this configuration, various periodic fluctuations of the biological information can be considered. Thereby, the biological information of the subject can be more appropriately processed.
  • the statistical information includes first variation characteristic statistical information reflecting a first location and a second variation property reflecting a second location different from the first location.
  • Statistical information of the variation characteristics including, the acquisition unit further acquires position information indicating the measurement location of the biological information, the correction unit, based on the acquired position information, stored in the storage device.
  • the statistical information corresponding to the measurement place is selected from the statistical information of the first variation characteristic and the statistical information of the second variation characteristic, and the acquisition is performed based on the selected statistical information.
  • the specified biological information of the subject may be corrected.
  • the statistical information applied to the subject can be selected based on the position information of the subject.
  • the position information may include a latitude or a longitude.
  • latitude or longitude can be specifically used as the information indicating the measurement location of the biological information.
  • appropriate statistical information can be selected, and the biological information of the subject can be more accurately processed.
  • the statistical information may include a first variation characteristic statistical information reflecting attribute information common to an unspecified first subject group, and an unspecified second information. And the statistical information of the second variation characteristic in which the attribute information common to the group of subjects is reflected, and the acquiring unit further acquires the attribute information of the specific subject, and the correcting unit Based on the acquired attribute information, the first variation characteristic statistical information stored in the storage device and the second variation characteristic statistical information in the specific subject attribute information Corresponding statistical information may be selected, and the acquired biological information of the specific subject may be corrected based on the selected statistical information. According to the configuration, the statistical information applied to the subject can be selected based on the attribute information.
  • the attribute information may include an age, a gender, an address, a degree of obesity, or smoking status of the subject.
  • the age, sex, address, obesity degree, or presence or absence of smoking of the subject can be specifically used as the information indicating the attribute information of the subject.
  • appropriate statistical information can be selected, and the biological information of the subject can be more accurately processed.
  • the biological information processing apparatus may further include an evaluation unit that generates evaluation information according to the health state of the specific subject based on the biological information corrected by the correction unit.
  • the generation unit can evaluate the health condition of the specific subject based on the biological information from which the influence of the variation due to the difference in the measurement time has been eliminated.
  • the evaluation information may include at least one of information for determining whether to join insurance and information for calculating an insurance premium or reward points.
  • the evaluation result of the biological information of the subject can be reflected in the insurance availability, the insurance premium, or the reward points.
  • the person to be measured can join appropriate insurance, pay an appropriate insurance premium, or receive an appropriate coupon as a result of the fair evaluation regardless of the measurement time.
  • FIG. 1 is a block diagram illustrating a 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 a hardware configuration of the blood pressure measurement 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 hardware configuration of the blood pressure processing device according to the present embodiment.
  • FIG. 6 is a diagram illustrating the fluctuation characteristic statistical information according to the present embodiment.
  • FIG. 7 is a block diagram illustrating a hardware configuration of the blood pressure evaluation device according to the present embodiment.
  • FIG. 1 is a block diagram illustrating a 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. 8 is a block diagram illustrating a functional configuration of the blood pressure processing device according to the present embodiment.
  • FIG. 9 is a block diagram illustrating a functional configuration of the blood pressure evaluation device according to the present embodiment.
  • FIG. 10 is a flowchart illustrating a procedure of a blood pressure analysis process in the blood pressure processing device according to the present embodiment.
  • FIG. 11 is a flowchart illustrating a procedure of a blood pressure evaluation process in the blood pressure evaluation device according to the present embodiment.
  • FIG. 12 is a diagram illustrating the effect according to the present embodiment.
  • FIG. 13 is a diagram illustrating variation characteristic statistical information according to a first modification of the present embodiment.
  • FIG. 14 is a diagram illustrating variation characteristic statistical information according to a first modification of the present embodiment.
  • FIG. 15 is a diagram illustrating a plurality of fluctuation characteristic statistical information according to the second modification and the third modification of the present embodiment.
  • FIG. 16 is a block diagram illustrating a functional configuration of a blood pressure processing device according to a second modified example and a third modified example of the present embodiment.
  • FIG. 17 is a flowchart illustrating a procedure of a blood pressure analysis process in the blood pressure processing device according to the second modification of the present embodiment.
  • FIG. 18 is a flowchart illustrating a procedure of a blood pressure analysis process in the blood pressure processing device according to the third modification of the present embodiment.
  • FIG. 19 is a block diagram illustrating a functional configuration of a blood pressure processing device according to a fourth modification of the present embodiment.
  • FIG. 20 is a diagram illustrating the evaluation criterion information according to the fifth modified example of the present embodiment.
  • the biological information processing apparatus includes a storage unit 1, an acquisition unit 2, a correction unit 3, and a generation unit 4.
  • the storage unit 1 stores statistical information on the fluctuation characteristics of the biological information of at least one unspecified subject in a unit period including a plurality of periods.
  • the fluctuation characteristic is information indicating how much the biological information fluctuates depending on the timing within the unit period.
  • the statistical information of the fluctuation characteristic is a fluctuation characteristic obtained by statistically processing biological information of at least one unspecified subject. In this case, as the number of unspecified subjects increases, the fluctuation characteristics of general biometric information common to all subjects can be stored.
  • the acquisition unit 2 acquires the biological information of the 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 a blood pressure value of a subject from a sensor together with information indicating the measurement date and time.
  • the correction unit 3 converts the acquired biological information based on the information indicating the measurement time of the biological information acquired at the same time and the fluctuation characteristics of the biological information included in the statistical information stored in the storage unit 1. to correct.
  • the correction unit 3 extracts, for example, a fluctuation amount of a period corresponding to the measurement date and time of the biological information from the fluctuation characteristics stored in the storage unit 1, and converts the measured biological information according to the extracted fluctuation amount. To correct.
  • the generation unit 4 generates analysis information on the specific subject's biological information based on the biological information corrected by the correction unit 3 and the statistical information on the fluctuation characteristics stored in the storage unit 1. I do.
  • the analysis information includes, in addition to the corrected biological information, information obtained by combining the corrected biological information and the statistical information of the variation characteristics. For example, the analysis information includes information indicating how much the biological information of the subject can statistically fluctuate around the corrected biological information.
  • the influence of the variable component can be reduced. That is, it is possible to appropriately process the biological information of the subject regardless of the measurement time. Further, the biological information can be evaluated after reducing the influence of the variable component.
  • FIG. 2 schematically illustrates an example of 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 a subject by processing the blood pressure value 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 risk of the subject.
  • the risk in the present embodiment indicates the risk of developing a brain / cardiovascular disease.
  • the blood pressure processing system includes a blood pressure measurement device 10, a mobile terminal 30, a blood pressure processing device 50, and a 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 mobile terminal 30.
  • the mobile 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 that is transferred from the administrator of the blood pressure evaluation device 70 and can be worn on an arbitrary measurement point (for example, a wrist) possessed by the subject.
  • the blood pressure measurement device 10 measures the blood pressure value of the subject at the measurement location, 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 a period within a unit period having periodicity, and is an example of the “time” in the present invention. In the following description, “unit period” is also simply referred to as “period”.
  • Periodic periods include, for example, days, weeks, and years.
  • the periods in the period having the periodicity include, for example, hours for days, days for weeks, and months for years.
  • the blood pressure measurement device 10 transmits the blood pressure information to the mobile terminal 30.
  • the mobile terminal 30 is, for example, a terminal that can be carried by the subject.
  • the mobile terminal 30 transfers the blood pressure information to the blood pressure processing device 50. Further, when receiving the evaluation information indicating the evaluation result of the blood pressure value from the blood pressure processing device 50, the mobile terminal 30 notifies the subject of the evaluation result.
  • the blood pressure processing device 50 is, for example, a server device having a functional configuration for analyzing and processing a blood pressure value of a subject.
  • the blood pressure processing device 50 stores fluctuation characteristic statistical information obtained by statistically summing up periodic fluctuations in blood pressure values of an unspecified number of samples.
  • the fluctuation characteristic statistical information is an example of the “statistical information” of the present invention.
  • the blood pressure processing device 50 considers the periodic fluctuation amount at the measurement date and time of the blood pressure value based on the fluctuation characteristic statistical information, and removes the blood pressure value so as to eliminate the influence of the periodic fluctuation. to correct.
  • 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, information such as a range in which the blood pressure value of the subject changes, a maximum value, a minimum value, and a mode value of the fluctuation, in addition to the corrected blood pressure value.
  • the blood pressure evaluation device 70 is, for example, a server device such as an insurance company having a functional configuration for evaluating a blood pressure value of a 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 an arbitrary mode derived based on the health condition of the subject.
  • the evaluation information is provided in accordance with information for determining whether or not to apply for insurance that the subject wants to subscribe, health insurance premium to which the subject subscribes, or the health condition of the subject. Includes basic information for calculating reward points such as coupons.
  • the blood pressure processing device 50 can generate the 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 fluctuation characteristic statistical information obtained by statistically summing up the periodic fluctuations of the blood pressure values for an unspecified number of samples is used. For this reason, for example, when different blood pressure values are measured at two different times by the same subject, the blood pressure processing device 50 analyzes the risk that these two different blood pressure values can determine that the risk is the same. Information can be generated. In addition, for example, when the two subjects measure the blood pressure value at two different times, and the same blood pressure value is measured, the blood pressure processing device 50 determines that the two subjects have different risks. It is possible to generate analysis information that can be determined to have
  • FIG. 3 is a block diagram illustrating an example of a 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. 18 is provided.
  • the control unit 11 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), 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.
  • a 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 the 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 date and time measured by the clock. Further, 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, for example, an auxiliary storage device such as a hard disk drive (HDD) and 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 mobile 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, environmental information, and the like to the mobile terminal 30.
  • the communication with the mobile terminal 30 by the communication unit 13 may be, for example, short-range wireless communication such as Bluetooth (registered trademark), but is not limited thereto.
  • the 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 performed 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, an LCD (Liquid Crystal Display) or an EL (Electroluminescence) display) and an indicator.
  • the display unit 15 displays information according to a signal from the control unit 11 and notifies the subject of the information.
  • the blood pressure sensor 16 measures the blood pressure value of the subject.
  • the blood pressure value includes a representative index such as a systolic blood pressure and a diastolic blood pressure.
  • a representative index such as a systolic blood pressure and a diastolic blood pressure.
  • the blood pressure value will be described as being the systolic blood pressure, but the diastolic blood pressure and other indices may be used instead of the systolic blood pressure, or a plurality of these indices may be used in combination. Good.
  • the blood pressure sensor 16 may be, for example, a continuous measurement type that can measure the blood pressure of a person to be measured every beat (continuously) of a heartbeat, or a non-continuous measurement that can measure a spot (non-continuously) at a predetermined time. It may be a type.
  • the continuous measurement type blood pressure sensor 16 includes, for example, a method of continuously measuring the blood pressure of the subject based on a pulse wave transit time (PTT; Pulse Transmit Time), and a method of continuously measuring the blood pressure based on a pressure pulse wave. (A tonometry method) or the like can be applied.
  • the method of continuously measuring the blood pressure is not limited to the above example, and a method of detecting a pulse wave using a light emitting element or the like can be appropriately applied.
  • a method (oscillometric method) of detecting a pulse wave by compressing a blood vessel using a cuff as a pressure sensor is applicable to the discontinuous measurement type blood pressure sensor 16.
  • the acceleration sensor 17 detects the acceleration of the subject at the place where the blood pressure measurement device 10 is mounted as a set of three-axis components. Further, the acceleration sensor 17 may further include a gyro sensor, and may further detect the angular velocity in addition to the acceleration 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 illustrating an example of a hardware configuration of the mobile 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.
  • the storage unit 32 of the mobile terminal 30 stores 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 until the blood pressure processing device 50 transmits the blood pressure information. During this time, these pieces of information are temporarily stored.
  • the communication unit 33 is a communication interface that manages 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.
  • 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.
  • the communication between 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 mobile 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 illustrating an example of a 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 the same as 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 device 50 stores the blood pressure processing program 521 executed by the control unit 51, the subject information 522 used in the blood pressure processing program 521, the fluctuation characteristic statistical information 523, and the like.
  • the communication unit 53 is a communication interface that manages communication with the mobile 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 mobile terminal 30.
  • the communication unit 53 transmits the blood pressure value analysis information 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 the drive 54 may be appropriately selected according to the type of the storage medium 55.
  • the blood pressure processing program 521, the subject information 522, and the fluctuation characteristic statistical information 523 may be stored in the storage medium 55.
  • the storage medium 55 stores the information such as the program by an electric, magnetic, optical, mechanical, or chemical action so that the computer or the like can read the information such as the recorded program. It is a medium to do.
  • the blood pressure processing device 50 may acquire the blood pressure processing program 521, the subject information 522, and the fluctuation characteristic statistical information 523 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. 10) for analyzing a blood pressure value described later.
  • the subject information 522 is information on the subject whose blood pressure value can be evaluated.
  • the subject information 522 includes, for example, attribute information such as name, age, gender, address, obesity degree, and smoking status, and the device ID of the blood pressure measurement device 10 owned by the subject corresponding to the attribute information.
  • attribute information such as name, age, gender, address, obesity degree, and smoking status
  • the obesity degree includes, for example, body fat percentage and BMI (BodyBMass Index).
  • the subject information 522 is appropriately updated by a report from the subject.
  • the fluctuation characteristic statistical information 523 is information indicating a state in which the blood pressure value periodically fluctuates with a period of a predetermined length as a cycle. Further, the fluctuation characteristic statistical information 523 is statistically calculated based on blood pressure information obtained from an unspecified number of subjects different from the subject to be evaluated, and is stored in the storage unit 52 in advance. That is, the fluctuation characteristic statistical information 523 indicates the fluctuation amount according to the fluctuation characteristic of the blood pressure value common to the majority of the subjects used for generating the information, that is, the most probable fluctuation amount in the period within the cycle. It is.
  • FIG. 6 is a diagram illustrating an example of the fluctuation characteristic statistical information 523 according to the present embodiment.
  • the fluctuation characteristic statistical information 523 indicates a state in which the blood pressure value periodically fluctuates around a predetermined average value with a period of one year.
  • the fluctuation amount of the blood pressure value fluctuates with respect to the average value (for example, “0”) according to the month (or season). More specifically, for example, the fluctuation amount of the blood pressure value is higher than the average value (the fluctuation amount of the blood pressure value “0”) during the period from December to March (winter), and is changed from June to September. It is lower than the average value during the period (summer). Further, for example, the fluctuation amount of the blood pressure value changes around the average value in a period from March to June (spring) and in a period from September to December (autumn). In the case of fluctuations with a cycle of one year, the fluctuation width can be up to about 10 to 20 mmHg.
  • the fluctuation characteristic statistical information 523 is not limited to the fluctuation characteristics and fluctuation amounts shown in FIG. 6, and any fluctuation characteristics and fluctuation amounts different from those in the example of FIG. 6 can be applied.
  • FIG. 7 is a block diagram illustrating an example of a 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 the blood pressure evaluation program 721 executed by the control unit 71, the subject information 722 used in the blood pressure evaluation program 721, the evaluation reference information 723, and the like.
  • the communication unit 73 is a communication interface that manages communication with the mobile 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 blood pressure value evaluation information to the mobile terminal 30.
  • the drive 74 and the storage medium 75 are the same as the drive 54 and the storage medium 55 of the blood pressure processing device 50.
  • the blood pressure evaluation program 721, the 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 acquire the blood pressure evaluation program 721, the 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. 11) described later.
  • the subject information 722 is the same as the subject information 522 of the blood pressure processing device 50.
  • Evaluation reference information 723 is information for defining the relationship between the blood pressure value and the evaluation result.
  • the evaluation criterion information 723 can take various forms according to the content of the evaluation. If the evaluation content is information indicating whether or not the subject is enrolled in the insurance, the evaluation criterion information 723, for example, associates a blood pressure value as a threshold with information indicating that insurance cannot be enrolled to a blood pressure value exceeding the threshold. Information indicating that insurance coverage is possible is associated with a blood pressure value below the threshold. In addition, when the evaluation content is the premium or reward point of the subject, the evaluation criterion information 723 associates the premium or the 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 a threshold value. . Different criteria may be set as the evaluation criterion information 723 according to the attribute information of the subject.
  • FIG. 8 is a block diagram schematically illustrating an example of a functional configuration of the blood pressure processing apparatus 50 of the blood pressure processing system according to the present embodiment.
  • the control unit 51 of the blood pressure processing device 50 loads the blood pressure processing program 521 stored in the storage unit 52 on the RAM. Then, the control unit 51 interprets and executes the blood pressure processing program 521 developed in the RAM by the CPU, and controls each component. Thereby, as illustrated in FIG. 8, the blood pressure processing device 50 according to the present embodiment functions as a computer including the acquisition unit 511, the analysis unit 512, and the output unit 513.
  • the acquisition unit 511 acquires various information measured by the blood pressure measurement device 10 and the mobile terminal 30. Specifically, for example, the obtaining unit 511 obtains blood pressure information and transfers it to the analyzing unit 512. Further, the acquisition unit 511 may further acquire the activity information, the environment information, and the position information, and transfer the acquired information to the analysis unit 512.
  • the analysis unit 512 corrects and analyzes the blood pressure value while correcting the periodic fluctuation amount inherent in the blood pressure value.
  • the analysis unit 512 includes a correction unit 514 and an analysis information generation unit 515.
  • the correction unit 514 When receiving the blood pressure information from the acquisition unit 511, the correction unit 514 extracts the measurement date and time of the blood pressure information.
  • the correction unit 514 reads the fluctuation characteristic statistical information 523 and specifies a time within a cycle corresponding to the measurement date and time extracted from the blood pressure information.
  • the correction unit 514 extracts, from the fluctuation characteristic statistical information 523, a fluctuation amount of the blood pressure value corresponding to the time within the specified cycle, and corrects the blood pressure value based on the fluctuation amount. Specifically, for example, the correction unit 514 calculates a corrected blood pressure value that does not depend on the measurement date and time by subtracting the periodic fluctuation amount from the blood pressure value.
  • the corrected blood pressure value may be calculated to be the average of the blood pressure values that fluctuate within the period.
  • the correction unit 514 rewrites the blood pressure value in the blood pressure information to a corrected blood pressure value to generate correction information.
  • the correction unit 514 sends the generated correction information to the analysis information generation unit 515.
  • the analysis information generation unit 515 When receiving the correction information, the analysis information generation unit 515 generates analysis information including information that can be used for evaluating the blood pressure value together with the correction information, using the fluctuation characteristic statistical information 523.
  • the analysis information can enhance the accuracy of the evaluation information by being combined with the corrected blood pressure value at the time of evaluation by the blood pressure evaluation device 70 described later.
  • the analysis information includes, in addition to the corrected blood pressure value, a fluctuation range of the blood pressure value within the period, a maximum value, a minimum value, a mode value, and the like.
  • the analysis information generation unit 515 sends the generated analysis information to the output unit 513.
  • the output unit 513 outputs the analysis information to the blood pressure evaluation device 70.
  • FIG. 9 is a block diagram schematically illustrating an example of the functional configuration of the blood pressure evaluation apparatus 70 of the blood pressure processing system according to the present embodiment.
  • the control unit 71 of the blood pressure evaluation device 70 loads the blood pressure evaluation program 721 stored in the storage unit 72 into the RAM. Then, the control unit 71 interprets and executes the blood pressure evaluation program 721 developed in the RAM by the CPU, and controls each component. Thereby, as illustrated in FIG. 9, the blood pressure evaluation device 70 according to the present embodiment functions as a computer including the acquisition unit 711, the evaluation unit 712, and the output unit 713.
  • the acquisition unit 711 acquires the analysis information output from the blood pressure processing device 50.
  • the evaluation unit 712 Upon receiving the analysis information, the evaluation unit 712 reads the subject information 722 and specifies the person associated with the device ID in the analysis information. The evaluation unit 712 sets evaluation reference information 723 corresponding to the attribute information of the specified person, and generates evaluation information corresponding to the corrected blood pressure value. In addition, the evaluation unit 712 may generate the evaluation information in consideration of information such as a fluctuation range of the blood pressure value in addition to the corrected blood pressure value.
  • the evaluation information includes, for example, information for determining whether or not to join the insurance desired by the subject as an evaluation result, insurance premiums of the health insurance that the subject joins, or the health condition of the subject. It may include information for calculating reward points such as coupons provided accordingly.
  • the output unit 713 outputs the evaluation information to the mobile terminal 30.
  • FIG. 10 is a flowchart schematically illustrating an example of a procedure of a blood pressure analysis process 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 the fluctuation characteristic statistical information 523. Further, the control unit 51 causes the storage unit 52 to store the subject information 522 as well.
  • Step ST20 the control unit 51 causes the communication unit 53 to function as the acquisition unit 511, and acquires blood pressure information via the mobile terminal 30. Further, the communication unit 53 may further acquire activity information, environmental information, and position information.
  • Step ST30 the control unit 51 functions as the correction unit 514, and generates correction information of the blood pressure information acquired in step ST20 based on the fluctuation characteristic statistical information 523 stored in step ST10.
  • control unit 51 extracts, from the fluctuation characteristic statistical information 523, the fluctuation amount of the blood pressure value corresponding to the measurement date and time in the blood pressure information.
  • the control unit 51 subtracts the extracted fluctuation amount from the blood pressure value, and calculates a corrected blood pressure value that does not depend on the 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 515.
  • Step ST40 the control unit 51 functions as the analysis information generation unit 515, and generates analysis information based on the correction information generated in step ST30.
  • control unit 51 calculates the fluctuation range of the blood pressure value around the corrected blood pressure value based on the fluctuation characteristic statistical information 523, and generates analysis information by adding the fluctuation width to the correction information.
  • control unit 51 causes the communication unit 53 to function as the output unit 513, and outputs the analysis information generated in step ST40 to the blood pressure evaluation device 70.
  • FIG. 11 is a flowchart schematically illustrating an example of a procedure of a blood pressure evaluation process in the blood pressure evaluation apparatus 70 according to the present embodiment.
  • Step ST50 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 ST60 the control unit 71 functions as the evaluation unit 712, evaluates the analysis information acquired in step ST50 based on the 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 via 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 criterion information 723, and generates evaluation information including an evaluation result.
  • Step ST70 Finally, the control unit 71 causes the communication unit 73 to function as the output unit 713, and outputs the evaluation information generated in step ST60 to the mobile terminal 30.
  • the output evaluation information is notified to the subject via the display unit 35 of the mobile terminal 30, for example.
  • FIG. 12 is a schematic diagram for explaining an example of the effect of the present embodiment.
  • the blood pressure information P11 and P13 include different measurement times and different blood pressure values. Specifically, for example, while the blood pressure information P11 is measured at a time when the blood pressure value becomes higher than the average value of the fluctuation during the fluctuation cycle of one year, the blood pressure information P13 indicates that the blood pressure value is changed. Are measured at a time when the average value is lower than the average value. For this reason, the blood pressure value of the blood pressure information P11 is higher than the blood pressure value of the blood pressure information P13. However, since the blood pressure information P11 and P13 are measured from the same subject, it is preferable that the blood pressure information P11 and P13 be corrected to information that can be evaluated to have the same level of risk.
  • step ST30 the control unit 51 corrects the blood pressure information P11 and P13 to correction information P12 and P14 based on the fluctuation characteristic statistical information 523, respectively.
  • the fluctuation curve L10 is applied to both the blood pressure information P11 and P13 based on the fluctuation characteristic statistical information 523. For this reason, the corrected blood pressure values of the correction information P12 and P14 both match the corrected blood pressure value Pc1.
  • step ST30 the control unit 51 can generate the corrected blood pressure value Pc1 from the two blood pressure information P11 and P13. 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 P11 and P13 have the same level of risk.
  • the blood pressure information P21 is further acquired from a subject different from the subjects of the blood pressure information P11 and P13 in step ST20.
  • the blood pressure information P21 has, for example, the same blood pressure value as the blood pressure information P11, but has a different measurement time. Specifically, for example, while the blood pressure information P11 is measured at a time when the blood pressure value becomes higher than the average value of the fluctuation during the fluctuation cycle of one year, the blood pressure information P21 indicates that the blood pressure value Are measured at a time when the average value is lower than the average value. Therefore, it is desirable that the blood pressure information P11 and P21 be corrected to information that can be evaluated as having different risks.
  • step ST30 the control unit 51 corrects the blood pressure information P11 and P21 to correction information P12 and P22, respectively, based on the fluctuation characteristic statistical information 523.
  • Different variation curves L10 and L20 are applied to the blood pressure information P11 and P21, respectively, based on the variation characteristic statistical information 523. Therefore, the corrected blood pressure value of the correction information P22 is a corrected blood pressure value Pc2 that is larger than the corrected blood pressure value Pc1.
  • step ST30 the control unit 51 can generate corrected blood pressure values Pc1 and Pc2 from the two blood pressure information P11 and P21, respectively. 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 P11 and P21 have different risks.
  • step ST40 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, in addition to the corrected blood pressure values Pc1 and Pc2. Can be included in the information. Accordingly, 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 cycle of the blood pressure fluctuation may be set to one week or one day.
  • FIG. 13 and FIG. 14 are diagrams illustrating an example of the fluctuation characteristic statistical information 523 according to the first modification of the present embodiment.
  • the fluctuation characteristic statistical information 523 indicates a state in which the blood pressure value periodically fluctuates with a cycle of one week and one day.
  • the fluctuation amount of the blood pressure value fluctuates 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 during the period from Monday to Tuesday (the beginning of the week) and lower than the average value during 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 time. More specifically, for example, the fluctuation amount of the blood pressure value is higher than the average value during the period (daytime) from dawn (for example, 6 o'clock) to sunset (for example, 18:00), and changes from sunset to dawn (at night). ) Lowers the average.
  • the fluctuation characteristic statistical information 523 is not limited to the fluctuation characteristics and fluctuation amounts illustrated in FIGS. 13 and 14, and any fluctuation characteristics and fluctuation amounts different from those in the examples of FIGS. 13 and 14 can be applied. is there.
  • the correction unit 514 may sequentially correct the blood pressure value based on each of the plurality of fluctuation characteristic statistical information 523 regarding the plurality of different cycles.
  • the storage unit 52 may store in advance a plurality of fluctuation characteristic statistical information 523 having the same cycle, which is obtained by classifying the sample into several.
  • the plurality of fluctuation characteristic statistical information 523 may be classified based on, for example, the blood pressure measurement location of the sample.
  • the analysis unit 512 may select one of the plurality of fluctuation characteristic statistical information 523 based on the position information, for example.
  • FIG. 15 is a diagram illustrating a plurality of fluctuation characteristic statistical information 523 according to a second modification of the present embodiment.
  • two pieces of fluctuation characteristic statistical information 523 are shown as fluctuation curves L30 and L31 having the same fluctuation period and different fluctuation amounts. Specifically, the fluctuation amount of the fluctuation curve L30 is smaller than the fluctuation amount of the fluctuation curve L31.
  • the variation curves L30 and L31 can be classified into, for example, low-latitude (equatorial) and middle-latitude bands. That is, one of the causes of the periodic fluctuation of blood pressure for one year is a seasonal change caused by the revolution of the earth. Specifically, since the change in the season is more gradual in the sample classified into the low latitude band than in the sample classified into the middle latitude band, the fluctuation amount of the blood pressure value may be more gradual. In this way, different variation curves L30 and L31 can be generated according to the blood pressure value measurement location (latitude and longitude). Note that the above classification method is an example, and the classification can be arbitrarily performed according to the measurement place.
  • FIG. 16 is a block diagram illustrating a functional configuration of a blood pressure processing device 50 according to a second modification of the present embodiment. As shown in FIG. 16, the analysis unit 512 further includes a selection unit 516.
  • the selection unit 516 When the selection unit 516 receives the blood pressure information and the position information from the acquisition unit 511, the selection unit 516 selects which variation characteristic statistical information 523 is used to evaluate the blood pressure information based on the position information.
  • the selection of the fluctuation characteristic statistical information 523 can use, for example, latitude and longitude in the position information.
  • the selection unit 516 sends selection information indicating which variation characteristic statistical information 523 is selected to the correction unit 514.
  • the correction unit 514 Upon receiving the selection information, the correction unit 514 generates correction information based on the fluctuation characteristic statistical information 523 selected by the selection information.
  • FIG. 17 is a flowchart schematically illustrating an example of a procedure of a blood pressure analysis process in the blood pressure processing device 50 according to the second modification of the present embodiment.
  • Step ST10a First, in step ST10a, the control unit 51 causes the storage unit 52 to store a plurality of fluctuation characteristic statistical information 523. Each of the plurality of fluctuation characteristic statistical information 523 is generated by a sample classified in the same range of measurement locations.
  • Step ST20a the control unit 51 causes the communication unit 53 to function as the acquisition unit 511, and acquires, via the mobile terminal 30, blood pressure information measured by the blood pressure measurement device 10 and position information measured by the mobile terminal 30. .
  • Step ST25a the control unit 51 functions as the selection unit 516, selects the fluctuation characteristic statistical information 523 used for the evaluation of the blood pressure information based on the position information, and generates the selection information.
  • Step ST30a the control unit 51 functions as the correction unit 514, and generates correction information based on the selected fluctuation characteristic statistical information 523.
  • Step ST40 The operation of the control unit 51 in step ST40 is the same as that of the present embodiment, and thus the description thereof will be omitted.
  • the periodic fluctuation of the blood pressure value can be corrected more accurately. Even when a plurality of pieces of variation characteristic statistical information 523 are stored, appropriate variation characteristic statistical information 523 can be selected by using the position information generated by the mobile terminal 30.
  • the present invention is not limited to this.
  • the plurality of fluctuation characteristic statistical information 523 may be classified based on attribute information such as the age, gender, address, obesity degree, and smoking status of the sample.
  • the analysis unit 512 may select one of the plurality of variation characteristic statistical information 523 based on the subject information 522, for example.
  • the address in the subject information 522 can be used as a blood pressure measurement location instead of the position information in the second modification. That is, the plurality of fluctuation characteristic statistical information 523 can be associated with the address in the subject information 522.
  • the fluctuation amount of the blood pressure value can be uniquely changed depending on the age, sex, obesity degree, smoking status, etc. of the subject. Therefore, different variation curves L30 and L31 as shown in FIG. 15 can be generated according to the age, gender, obesity degree, presence or absence of smoking, and the like of the subject.
  • the selection unit 516 When the selection unit 516 receives the blood pressure information from the acquisition unit 511, the selection unit 516 extracts the device ID corresponding to the blood pressure information.
  • the selecting unit 516 reads the subject information 522 and specifies the attribute information of the subject corresponding to the device ID.
  • the selection unit 516 selects, based on the specified attribute information, which variation characteristic statistical information 523 is to be used to evaluate the blood pressure information. In selecting the variation characteristic statistical information 523, for example, the age, gender, address, obesity degree, smoking presence / absence, and the like in the attribute information can be used.
  • the selection unit 516 sends selection information indicating which variation characteristic statistical information 523 is selected to the correction unit 514.
  • the correction unit 514 Upon receiving the selection information, the correction unit 514 generates correction information based on the fluctuation characteristic statistical information 523 selected by the selection information.
  • FIG. 18 is a flowchart schematically illustrating an example of a procedure of a blood pressure analysis process in the blood pressure processing device 50 according to the third modification of the present embodiment.
  • Step ST10b First, in step ST10b, the control unit 51 causes the storage unit 52 to store the plurality of fluctuation characteristic statistical information 523 and the subject information 522.
  • Each of the plurality of variation characteristic statistical information 523 is generated by a sample classified based on the same range of age, address, or obesity degree, or the same sex or smoking.
  • Step ST20 The operation of the control unit 51 in step ST20 is the same as that of the present embodiment, and a description thereof will be omitted.
  • Step ST25b the control unit 51 functions as the selection unit 516, selects fluctuation characteristic statistical information 523 used for evaluating blood pressure information based on the subject information 522, and generates selection information.
  • Step ST30b the control unit 51 functions as the correction unit 514, and generates correction information based on the selected fluctuation characteristic statistical information 523.
  • Step ST40 The operation of the control unit 51 in step ST40 is the same as that of the present embodiment, and thus the description thereof will be omitted.
  • the blood pressure information used for generating the analysis information is not used for estimating the fluctuation characteristic statistical information 523.
  • the present invention is not limited to this.
  • the fluctuation characteristic statistical information 523 may be updated with the latest blood pressure information.
  • FIG. 19 is a block diagram illustrating a functional configuration of a blood pressure processing device 50 according to a fourth modification of the present embodiment. As shown in FIG. 19, the blood pressure processing device 50 further includes an updating unit 517.
  • the updating unit 517 estimates the fluctuation characteristics of the blood pressure value of the subject from the plurality of pieces of blood pressure information. The estimation may be performed for a partial range within the period.
  • the updating unit 517 updates the fluctuation characteristic statistical information 523 by reading the fluctuation characteristic statistical information 523 and applying the estimated fluctuation characteristic to the fluctuation characteristic statistical information 523.
  • the latest blood pressure information directly obtained from the subject can be reflected in the variation characteristic statistical information 523 indicating the variation characteristics of the unspecified subject. Therefore, even for a specific subject having a fluctuation characteristic that does not match the fluctuation characteristic of the fluctuation characteristic statistical information 523, the fluctuation of the blood pressure value due to the measurement timing can be more accurately predicted and corrected.
  • the blood pressure processing device 50 and the blood pressure evaluation device 70 have been described as being configured in different server devices, but are not limited thereto.
  • 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 correction target by the correction unit 514 need not be limited to the blood pressure value.
  • the correction unit 514 may generate the correction information by correcting the evaluation criterion information 723 according to the measurement timing in the blood pressure information.
  • FIG. 20 is a diagram illustrating the evaluation criterion information 723 according to the fifth modified example of the present embodiment.
  • the example of FIG. 20 illustrates a case where the blood pressure information P41 and P42 are obtained from different subjects. Both the blood pressure values of the blood pressure information P41 and P42 are below the threshold value Ps that does not depend on the measurement timing.
  • the correction unit 514 may change the threshold value Ps according to the measurement date and time in the blood pressure information. That is, the correction unit 514 may generate correction information as indicated by the corrected threshold L40 based on the threshold Ps. It is desirable that the corrected threshold value L40 has, for example, a shape correlated with the fluctuation characteristic statistical information 523 shown in FIG.
  • the analysis information generation unit 515 can evaluate that the risks of the blood pressure information P41 and P42 are different.
  • the corrected blood pressure value is the average value of the blood pressure values that fluctuate periodically
  • the present invention is not limited to this.
  • a maximum value, a minimum value, a mode value, and any other value of the periodically varying blood pressure value can be applied.
  • each functional configuration in the blood pressure processing device 50 is described as being included in the server device connected to the mobile terminal 30 via the network NW, but is not limited thereto.
  • each functional configuration in the blood pressure processing device 50 may be included in the blood pressure measurement device 10 and the mobile terminal 30.
  • the blood pressure measurement device 10 has been described as a device that can be worn by a subject, but is not limited to this.
  • the blood pressure measurement device 10 may be a stationary device.
  • the present invention may be 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-described embodiment, and can be variously modified in an implementation stage without departing from the scope of the invention.
  • the embodiments may be appropriately combined and implemented, and in such a case, the combined effects can be obtained.
  • the above-described embodiment includes various inventions, and various inventions can be extracted by combinations selected from a plurality of disclosed constituent features. For example, even if some components are deleted from all the components shown in the embodiment, if the problem can be solved and an effect can be obtained, a configuration from which the components are deleted can be extracted as an invention.
  • a storage device for storing statistical information of variation characteristics of biological information in a unit period including a plurality of periods of at least one unspecified subject; Acquisition unit that acquires the biological information of the specific subject, together with information indicating the measurement time of the biological information, The acquired biological information of the specific subject, information representing the measurement time acquired together with the biological information, and the statistical information of the fluctuation characteristics stored in the storage device, a correction unit that corrects based on ,
  • a biological information processing apparatus comprising:
  • Blood pressure measuring device 30 ... portable terminal, 50: blood pressure processing device, 70 ... blood pressure evaluation device, 11, 31, 51, 71 ... control unit, 12, 32, 52, 72 ... storage unit, 13, 33, 53, 73 ... communication unit, 14, 34 ... operation unit, 15, 35 ... display unit, 16 ... blood pressure sensor, 17 ... acceleration sensor, 18. Temperature and humidity sensor, 36 ... GPS receiver, 54, 74 ... drive, 55, 75 ... storage medium, 511: Acquisition unit, 512: analysis unit, 513 ...

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Abstract

Provided is a technique with which biological information of a subject can be appropriately processed regardless of the measurement period. A biological information processing apparatus according to an embodiment of the present invention is provided with a storage device, an acquisition unit, and a correction unit. The storage device stores statistical information of variability characteristics of biological information of at least one unspecified subject in a unit period including a plurality of periods. The acquisition unit acquires biological information of a specific subject along with information indicating the measurement period of the biological information. The correction unit corrects the acquired biological information of the specific subject on the basis of the information indicating the measurement period acquired with the biological information and the statistical information of variability characteristics stored in the storage device.

Description

生体情報処理装置、処理方法、及び処理プログラムBiological information processing apparatus, processing method, and processing program
　本発明は、生体情報処理装置、処理方法、及び処理プログラムに関する。 The present invention relates to a biological information processing apparatus, a processing method, and a processing program.
　生体情報の１つとして血圧値がある。血圧値は、被測定者の健康状態を判断するための重要な指標の１つである。このため、血圧値は、被測定者の健康状態に基づいて導出される様々な情報に反映される。 血 圧 Blood pressure value is one of the biological information. The blood pressure value is one of important indicators for judging the health condition of the subject. For this reason, the blood pressure value is reflected in various information derived based on the health condition of the subject.
　日本国特開２００１－２４９９９６号公報では、加入者から測定された心拍数及び血圧値を含む体調データをホームドクターセンターに送信し、送信された体調データに基づいて加入者の体調を初期診断するホームドクターセンターシステムが提案されている。当該ホームドクターセンターシステムによれば、加入者の血圧値等の体調データに基づいて健康状態を診断し、その結果を様々な付帯的なサービスに利用することが可能である。 In Japanese Patent Application Laid-Open No. 2001-249996, physical condition data including a heart rate and a blood pressure value measured from a subscriber are transmitted to a home doctor center, and the physical condition of the subscriber is initially diagnosed based on the transmitted physical condition data. A home doctor center system has been proposed. According to the home doctor center system, it is possible to diagnose the health condition based on the physical condition data such as the blood pressure value of the subscriber and to use the result for various incidental services.
日本国特開２００１－２４９９９６号公報JP 2001-249996 A
　しかしながら、血圧値等の生体情報の測定値は、環境等の外的要因により変化しやすいため、測定された血圧値等の生体情報を付帯的なサービスに利用する場合には注意が必要である。例えば、血圧値は、測定時期によって変化し得ることが知られている。そのため、同一人物から測定された血圧値でも、測定時期によって血圧値に差が生じ得る。このため、測定時期を考慮せずに、測定された血圧値をそのままサービスに使用すると、被測定者は、測定時期によっては希望するサービスを受けることができなくなることが予想される。 However, since the measured value of the biological information such as the blood pressure value is likely to change due to external factors such as the environment, care must be taken when using the measured biological information such as the blood pressure value for ancillary services. . For example, it is known that the blood pressure value can change depending on the measurement timing. Therefore, even with the blood pressure value measured from the same person, a difference may occur in the blood pressure value depending on the measurement timing. For this reason, if the measured blood pressure value is used for the service as it is without considering the measurement time, the subject may not be able to receive the desired service depending on the measurement time.
　本発明は、一側面では、このような実状を鑑みてなされたものであり、その目的は、測定時期によらず、被測定者の生体情報を適正に処理可能にする技術を提供することである。 The present invention, in one aspect, has been made in view of such circumstances, and an object of the present invention is to provide a technology capable of appropriately processing biological information of a subject regardless of measurement timing. is there.
　本発明は、上述した課題を解決するために、以下の構成を採用する。 The present invention employs the following configuration in order to solve the above-described problems.
　すなわち、本発明の一側面に係る生体情報処理装置は、不特定の少なくとも１人の被測定者の、複数の時期を含む単位期間における生体情報の変動特性の統計情報を記憶する記憶装置と、特定の被測定者の生体情報を、当該生体情報の測定時期を表す情報と共に取得する取得部と、前記取得された特定の被測定者の生体情報を、当該生体情報と共に取得した測定時期を表す情報と、前記記憶装置に記憶された前記変動特性の統計情報と、に基づいて補正する補正部と、を備える。 That is, the biological information processing apparatus according to one aspect of the present invention is a storage device that stores statistical information of variation characteristics of biological information in a unit period including a plurality of periods of at least one unspecified subject, An acquisition unit that acquires the biological information of a specific subject, together with information indicating the measurement time of the biological information, and the acquired biological information of the specific subject, which represents the measurement time acquired together with the biological information. A correction unit configured to perform correction based on the information and the statistical information of the variation characteristics stored in the storage device.
　上記構成では、特定の被測定者の生体情報が、不特定の少なくとも１人の被測定者の、単位期間における生体情報の変動特定の統計情報に基づいて補正される。このため、特定の被測定者の生体情報に測定時期の違いによるばらつきがあっても、当該ばらつきの影響が排除された生体情報を得ることができる。すなわち、どの被測定者にも共通してみられる、一般的な生体情報の変動特性に基づいて、測定時期の違いによるばらつきの影響が排除された生体情報を得ることができる。 In the above configuration, the biological information of the specific subject is corrected based on the specific statistical information on the fluctuation of the biological information of at least one unspecified subject in the unit period. For this reason, even if there is a variation in the biological information of a specific subject due to a difference in measurement time, it is possible to obtain biological information in which the influence of the variation is eliminated. That is, it is possible to obtain the biological information in which the influence of the variation due to the difference in the measurement time is eliminated based on the variation characteristic of the general biological information which is commonly seen by all the subjects.
　上記一側面に係る生体情報処理装置において、前記補正部により補正された生体情報と、前記記憶装置に記憶された前記変動特性の統計情報とに基づいて、前記特定の被測定者の生体情報に関する解析情報を生成する生成部を、更に備えてもよい。当該構成によれば、補正された生体情報と、変動特性との関係を把握可能な情報を生成することができる。このため、生体情報の評価に際し、より有用な情報を提供できる。 In the biological information processing apparatus according to the one aspect, the biological information of the specific person to be measured is based on the biological information corrected by the correction unit and the statistical information of the variation characteristics stored in the storage device. The information processing apparatus may further include a generation unit that generates analysis information. According to this configuration, it is possible to generate information that can grasp the relationship between the corrected biological information and the variation characteristics. Therefore, more useful information can be provided when evaluating the biological information.
　上記一側面に係る生体情報処理装置において、前記取得された特定の被測定者の生体情報に基づいて、前記記憶装置に記憶された前記変動特性の統計情報を更新する更新部を更に備えてもよい。当該構成によれば、不特定の被測定者に一般的にみられる生体情報の変動特性に加え、特定の被測定者に特徴的にみられる生体情報の変動特性を考慮することができる。したがって、被測定者の生体情報をより適正に処理することができる。 The biometric information processing apparatus according to the one aspect, may further include an updating unit that updates the statistical information of the variation characteristics stored in the storage device based on the acquired biometric information of the specific subject. Good. According to this configuration, it is possible to take into account the variation characteristics of the biological information characteristically seen by the specific subject, in addition to the variation characteristics of the biological information generally seen by the unspecified subject. Therefore, the biological information of the subject can be more appropriately processed.
　上記一側面に係る生体情報処理装置において、前記単位期間は、１年間、１週間、及び１日間のいずれかに設定されてもよい。当該構成によれば、生体情報の様々な周期的変動を考慮することができる。これにより、被測定者の生体情報をより適正に処理することができる。 In the biological information processing apparatus according to one aspect, the unit period may be set to one year, one week, or one day. According to this configuration, various periodic fluctuations of the biological information can be considered. Thereby, the biological information of the subject can be more appropriately processed.
　上記一側面に係る生体情報処理装置において、前記統計情報は、第１の場所を反映した第１の変動特性の統計情報と、前記第１の場所と異なる第２の場所を反映した第２の変動特性の統計情報と、を含み、前記取得部は、前記生体情報の測定場所を示す位置情報を更に取得し、前記補正部は、前記取得された位置情報に基づいて、前記記憶装置に記憶された前記第１の変動特性の統計情報と、前記第２の変動特性の統計情報とのうち、前記測定場所に対応する統計情報を選定し、前記選定された統計情報に基づいて、前記取得された特定の被測定者の生体情報を補正してもよい。当該構成によれば、被測定者に適用される統計情報を、被測定者の位置情報に基づいて選定することができる。これにより、補正の際、生体情報の測定場所によって生じる変動量の違いを考慮することができる。このため、被測定者の生体情報の周期的変動の傾向がより正確にモデル化された統計情報を用いて補正が可能となり、ひいては、被測定者の生体情報をより適正に処理することができる。 In the biological information processing apparatus according to the above aspect, the statistical information includes first variation characteristic statistical information reflecting a first location and a second variation property reflecting a second location different from the first location. Statistical information of the variation characteristics, including, the acquisition unit further acquires position information indicating the measurement location of the biological information, the correction unit, based on the acquired position information, stored in the storage device The statistical information corresponding to the measurement place is selected from the statistical information of the first variation characteristic and the statistical information of the second variation characteristic, and the acquisition is performed based on the selected statistical information. The specified biological information of the subject may be corrected. According to this configuration, the statistical information applied to the subject can be selected based on the position information of the subject. Thereby, at the time of correction, it is possible to take into account the difference in the amount of fluctuation caused by the measurement location of the biological information. For this reason, the tendency of the periodic variation of the biological information of the subject can be corrected using the statistical information that is more accurately modeled, and thus the biological information of the subject can be more appropriately processed. .
　上記一側面に係る生体情報処理装置において、前記位置情報は、緯度又は経度を含んでもよい。当該構成によれば、生体情報の測定場所を示す情報として、具体的に緯度又は経度を用いることができる。これにより、適切な統計情報を選定することができ、より正確に被測定者の生体情報を処理することができる。 In the biological information processing apparatus according to the above aspect, the position information may include a latitude or a longitude. According to this configuration, latitude or longitude can be specifically used as the information indicating the measurement location of the biological information. As a result, appropriate statistical information can be selected, and the biological information of the subject can be more accurately processed.
　上記一側面に係る生体情報処理装置において、前記統計情報は、不特定の第１の被測定者群に共通する属性情報が反映された第１の変動特性の統計情報と、不特定の第２の被測定者群に共通する属性情報が反映された第２の変動特性の統計情報と、を含み、前記取得部は、前記特定の被測定者の属性情報を更に取得し、前記補正部は、前記取得された属性情報に基づいて、前記記憶装置に記憶された前記第１の変動特性の統計情報と、前記第２の変動特性の統計情報のうち前記特定の被測定者の属性情報に対応する統計情報を選定し、前記選定された統計情報に基づいて、前記取得された特定の被測定者の生体情報を補正してもよい。当該構成によれば、被測定者に適用される統計情報を、属性情報に基づいて選定することができる。これにより、補正の際、被測定者の属性情報によって生じる変動量の違いを考慮することができる。このため、被測定者の生体情報の周期的変動の傾向がより正確にモデル化された統計情報を用いて補正が可能となり、ひいては、被測定者の生体情報をより適正に処理することができる。 In the biological information processing apparatus according to the one aspect, the statistical information may include a first variation characteristic statistical information reflecting attribute information common to an unspecified first subject group, and an unspecified second information. And the statistical information of the second variation characteristic in which the attribute information common to the group of subjects is reflected, and the acquiring unit further acquires the attribute information of the specific subject, and the correcting unit Based on the acquired attribute information, the first variation characteristic statistical information stored in the storage device and the second variation characteristic statistical information in the specific subject attribute information Corresponding statistical information may be selected, and the acquired biological information of the specific subject may be corrected based on the selected statistical information. According to the configuration, the statistical information applied to the subject can be selected based on the attribute information. Thereby, at the time of correction, it is possible to consider the difference in the amount of variation caused by the attribute information of the subject. For this reason, the tendency of the periodic variation of the biological information of the subject can be corrected using the statistical information that is more accurately modeled, and thus the biological information of the subject can be more appropriately processed. .
　上記一側面に係る生体情報処理装置において、前記属性情報は、前記被測定者の年齢、性別、住所、肥満度、又は喫煙の有無を含んでもよい。当該構成によれば、被測定者の属性情報を示す情報として、具体的に被測定者の年齢、性別、住所、肥満度、又は喫煙の有無を用いることができる。これにより、適切な統計情報を選定することができ、より正確に被測定者の生体情報を処理することができる。 In the biological information processing apparatus according to the one aspect, the attribute information may include an age, a gender, an address, a degree of obesity, or smoking status of the subject. According to this configuration, the age, sex, address, obesity degree, or presence or absence of smoking of the subject can be specifically used as the information indicating the attribute information of the subject. As a result, appropriate statistical information can be selected, and the biological information of the subject can be more accurately processed.
　上記一側面に係る生体情報処理装置において、前記補正部により補正された生体情報に基づいて、前記特定の被測定者の健康状態に応じた評価情報を生成する評価部を更に備えてもよい。当該構成によれば、生成部は、測定時期の違いによるばらつきの影響が排除された生体情報に基づいて、特定の被測定者の健康状態を評価することができる。 The biological information processing apparatus according to the above aspect may further include an evaluation unit that generates evaluation information according to the health state of the specific subject based on the biological information corrected by the correction unit. According to this configuration, the generation unit can evaluate the health condition of the specific subject based on the biological information from which the influence of the variation due to the difference in the measurement time has been eliminated.
　上記一側面に係る生体情報処理装置において、前記評価情報は、保険加入の可否を判定するための情報と、保険料又はリワードポイントを算定するための情報と、の少なくとも一方を含んでもよい。当該構成によれば、生体情報に基づいて、被測定者の生体情報の評価結果を保険加入可否、保険料、又はリワードポイントに反映できる。これにより、被測定者は、測定時期によらない公平な評価の結果、適切な保険に加入し、適切な保険料を支払い、又は適切なクーポンを受け取ることができる。 In the biological information processing apparatus according to the above aspect, the evaluation information may include at least one of information for determining whether to join insurance and information for calculating an insurance premium or reward points. According to this configuration, based on the biological information, the evaluation result of the biological information of the subject can be reflected in the insurance availability, the insurance premium, or the reward points. As a result, the person to be measured can join appropriate insurance, pay an appropriate insurance premium, or receive an appropriate coupon as a result of the fair evaluation regardless of the measurement time.
　本発明によれば、測定時期によらず、被測定者の生体情報を適正に処理可能にする技術を提供することができる。 According to the present invention, it is possible to provide a technology that can appropriately process the biological information of the subject regardless of the measurement time.
図１は、適用例に係る生体情報処理装置の機能構成を例示するブロック図である。FIG. 1 is a block diagram illustrating a functional configuration of a biological information processing apparatus according to an application example. 図２は、本実施形態に係る血圧処理装置を含む血圧処理システムの構成を例示する模式図である。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. 図３は、本実施形態に係る血圧測定装置のハードウェア構成を例示するブロック図である。FIG. 3 is a block diagram illustrating a hardware configuration of the blood pressure measurement device according to the present embodiment. 図４は、本実施形態に係る携帯端末のハードウェア構成を例示するブロック図である。FIG. 4 is a block diagram illustrating a hardware configuration of the mobile terminal according to the embodiment. 図５は、本実施形態に係る血圧処理装置のハードウェア構成を例示するブロック図である。FIG. 5 is a block diagram illustrating a hardware configuration of the blood pressure processing device according to the present embodiment. 図６は、本実施形態に係る変動特性統計情報を例示するダイアグラムである。FIG. 6 is a diagram illustrating the fluctuation characteristic statistical information according to the present embodiment. 図７は、本実施形態に係る血圧評価装置のハードウェア構成を例示するブロック図である。FIG. 7 is a block diagram illustrating a hardware configuration of the blood pressure evaluation device according to the present embodiment. 図８は、本実施形態に係る血圧処理装置の機能構成を例示するブロック図である。FIG. 8 is a block diagram illustrating a functional configuration of the blood pressure processing device according to the present embodiment. 図９は、本実施形態に係る血圧評価装置の機能構成を例示するブロック図である。FIG. 9 is a block diagram illustrating a functional configuration of the blood pressure evaluation device according to the present embodiment. 図１０は、本実施形態に係る血圧処理装置における血圧解析処理の手順を例示するフローチャートである。FIG. 10 is a flowchart illustrating a procedure of a blood pressure analysis process in the blood pressure processing device according to the present embodiment. 図１１は、本実施形態に係る血圧評価装置における血圧評価処理の手順を例示するフローチャートである。FIG. 11 is a flowchart illustrating a procedure of a blood pressure evaluation process in the blood pressure evaluation device according to the present embodiment. 図１２は、本実施形態に係る効果を例示するダイアグラムである。FIG. 12 is a diagram illustrating the effect according to the present embodiment. 図１３は、本実施形態の第１変形例に係る変動特性統計情報を例示するダイアグラムである。FIG. 13 is a diagram illustrating variation characteristic statistical information according to a first modification of the present embodiment. 図１４は、本実施形態の第１変形例に係る変動特性統計情報を例示するダイアグラムである。FIG. 14 is a diagram illustrating variation characteristic statistical information according to a first modification of the present embodiment. 図１５は、本実施形態の第２変形例及び第３変形例に係る複数の変動特性統計情報を例示するダイアグラムである。FIG. 15 is a diagram illustrating a plurality of fluctuation characteristic statistical information according to the second modification and the third modification of the present embodiment. 図１６は、本実施形態の第２変形例及び第３変形例に係る血圧処理装置の機能構成を例示するブロック図である。FIG. 16 is a block diagram illustrating a functional configuration of a blood pressure processing device according to a second modified example and a third modified example of the present embodiment. 図１７は、本実施形態の第２変形例に係る血圧処理装置における血圧解析処理の手順を例示するフローチャートである。FIG. 17 is a flowchart illustrating a procedure of a blood pressure analysis process in the blood pressure processing device according to the second modification of the present embodiment. 図１８は、本実施形態の第３変形例に係る血圧処理装置における血圧解析処理の手順を例示するフローチャートである。FIG. 18 is a flowchart illustrating a procedure of a blood pressure analysis process in the blood pressure processing device according to the third modification of the present embodiment. 図１９は、本実施形態の第４変形例に係る血圧処理装置の機能構成を例示するブロック図である。FIG. 19 is a block diagram illustrating a functional configuration of a blood pressure processing device according to a fourth modification of the present embodiment. 図２０は、本実施形態の第５変形例に係る評価基準情報を例示するダイアグラムである。FIG. 20 is a diagram illustrating the evaluation criterion information according to the fifth modified example of the present embodiment.
　以下、図面を参照して実施形態について説明する。なお、以下の説明において、同一の機能及び構成を有する構成要素については、共通する参照符号を付す。また、共通する参照符号を有する複数の構成要素を区別する場合、当該共通する参照符号に後続する追加符号を更に付して区別する。なお、複数の構成要素について特に区別を要さない場合、当該複数の構成要素には、共通する参照符号のみが付され、追加符号は付さない。 Hereinafter, embodiments will be described with reference to the drawings. In the following description, components having the same functions and configurations are denoted by the same reference numerals. When a plurality of components having a common reference symbol are distinguished, an additional symbol following the common reference symbol is further added to distinguish the components. In the case where it is not particularly necessary to distinguish a plurality of components, only a common reference numeral is given to the plurality of components, and no additional symbol is given.
　１．適用例
　まず、図１を用いて、本発明が適用される生体情報処理装置の一例について説明する。 1. First, an example of a biological information processing apparatus to which the present invention is applied will be described with reference to FIG.
　図１に示すように、生体情報処理装置は、記憶部１と、取得部２と、補正部３と、生成部４と、を備えている。 生 体 As shown in FIG. 1, the biological information processing apparatus includes a storage unit 1, an acquisition unit 2, a correction unit 3, and a generation unit 4.
　記憶部１には、不特定の少なくとも１人の被測定者の、複数の時期を含む単位期間における生体情報の変動特性の統計情報が記憶される。変動特性とは、単位期間内の時期によって、生体情報がどの程度変動するか、を示す情報である。そして、変動特性の統計情報とは、不特定の少なくとも１人の被測定者の生体情報を統計的に処理して得られる変動特性である。この場合、不特定の被測定者の人数を増やすほど、どの被測定者にも共通してみられる一般的な生体情報の変動特性を記憶させることができる。 (4) The storage unit 1 stores statistical information on the fluctuation characteristics of the biological information of at least one unspecified subject in a unit period including a plurality of periods. The fluctuation characteristic is information indicating how much the biological information fluctuates depending on the timing within the unit period. The statistical information of the fluctuation characteristic is a fluctuation characteristic obtained by statistically processing biological information of at least one unspecified subject. In this case, as the number of unspecified subjects increases, the fluctuation characteristics of general biometric information common to all subjects can be stored.
　取得部２は、測定対象となる特定の被測定者の生体情報を、当該生体情報の上記単位期間内における測定時期を表す情報と共に取得する。取得部２は、例えば、センサから被測定者の血圧値等の生体情報を、その測定日時を表す情報と共に取得する。 The acquisition unit 2 acquires the biological information of the 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 a blood pressure value of a subject from a sensor together with information indicating the measurement date and time.
　補正部３は、上記取得された生体情報を、同時に取得された当該生体情報の測定時期を表す情報と、上記記憶部１に記憶された統計情報に含まれる生体情報の変動特性とに基づいて補正する。補正部３は、例えば、記憶部１に記憶された変動特性から、上記生体情報の測定日時に対応する時期の変動量を抽出し、上記測定された生体情報を上記抽出された変動量に応じて補正する。 The correction unit 3 converts the acquired biological information based on the information indicating the measurement time of the biological information acquired at the same time and the fluctuation characteristics of the biological information included in the statistical information stored in the storage unit 1. to correct. The correction unit 3 extracts, for example, a fluctuation amount of a period corresponding to the measurement date and time of the biological information from the fluctuation characteristics stored in the storage unit 1, and converts the measured biological information according to the extracted fluctuation amount. To correct.
　生成部４は、上記補正部３によって補正された生体情報と、上記記憶部１に記憶された上記変動特性の統計情報とに基づいて、上記特定の被測定者の生体情報に関する解析情報を生成する。解析情報は、補正された生体情報に加えて、当該補正された生体情報と、変動特性の統計情報と、を組み合わせて得られる情報を含む。例えば、解析情報は、補正された生体情報のまわりに被測定者の生体情報が統計的にどの程度変動し得るか、を示す情報を含む。 The generation unit 4 generates analysis information on the specific subject's biological information based on the biological information corrected by the correction unit 3 and the statistical information on the fluctuation characteristics stored in the storage unit 1. I do. The analysis information includes, in addition to the corrected biological information, information obtained by combining the corrected biological information and the statistical information of the variation characteristics. For example, the analysis information includes information indicating how much the biological information of the subject can statistically fluctuate around the corrected biological information.
　以上のような構成であれば、被測定者の生体情報がその測定時期に依存する変動成分を含んでいても、当該変動成分の影響を軽減させることが可能となる。すなわち、測定時期によらず、被測定者の生体情報を適正に処理することが可能となる。また、当該変動成分の影響を軽減させた上で当該生体情報を評価させることが可能となる。 With the above configuration, even if the subject's biological information includes a variable component that depends on the measurement time, the influence of the variable component can be reduced. That is, it is possible to appropriately process the biological information of the subject regardless of the measurement time. Further, the biological information can be evaluated after reducing the influence of the variable component.
　２．実施例
　上述の適用例に係る生体情報処理装置の実施例について、以下に説明する。以下では、生体情報処理装置の一例としての血圧処理装置を含む血圧処理システムについて説明する。 2. Embodiment An embodiment of the biological information processing apparatus according to the above application example will be described below. Hereinafter, a blood pressure processing system including a blood pressure processing device as an example of a biological information processing device will be described.
　２．１　全体構成
　図２は、本実施形態に係る血圧処理システムの適用場面の一例を模式的に例示する。本実施形態に係る血圧処理システムは、被測定者から測定された血圧値を測定時期に依存しない形式に処理することにより、被測定者の健康状態に応じた評価結果を提供するシステムである。被測定者の健康状態は、当該被測定者が有する健康上のリスクに対応付けられる。本実施形態におけるリスクは、脳・心血管疾患の発症のリスクを示す。 2.1 Overall Configuration FIG. 2 schematically illustrates an example of 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 a subject by processing the blood pressure value 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 risk of the subject. The risk in the present embodiment indicates the risk of developing a brain / cardiovascular disease.
　図２に示すように、血圧処理システムは、血圧測定装置１０、携帯端末３０、血圧処理装置５０、及び血圧評価装置７０を備える。血圧測定装置１０と、血圧処理装置５０とは、携帯端末３０を介して互いに通信可能に接続される。また、携帯端末３０は、ネットワークＮＷを経由して血圧処理装置５０及び血圧評価装置７０と接続される。 As shown in FIG. 2, the blood pressure processing system includes a blood pressure measurement device 10, a mobile terminal 30, a blood pressure processing device 50, and a 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 mobile terminal 30. In addition, the mobile terminal 30 is connected to the blood pressure processing device 50 and the blood pressure evaluation device 70 via the network NW.
　血圧測定装置１０は、例えば、血圧評価装置７０の管理者から譲渡されて被測定者が所持する、任意の測定箇所（例えば、手首）に装着可能な装置である。血圧測定装置１０は、測定箇所における被測定者の血圧値を測定し、当該血圧値が測定日時と対応付けられた血圧情報を生成する。測定日時は、周期性を有する単位期間内の時期を特定するための情報であり、本発明の「時期」の一例である。以下の説明では、「単位期間」は、単に「期間」とも言う。周期性を有する期間は、例えば、日、週、及び年を含む。周期性を有する期間内の時期は、例えば、日に対する時間、週に対する曜日、及び年に対する月を含む。血圧測定装置１０は、血圧情報を携帯端末３０に送信する。 The blood pressure measurement device 10 is, for example, a device that is transferred from the administrator of the blood pressure evaluation device 70 and can be worn on an arbitrary measurement point (for example, a wrist) possessed by the subject. The blood pressure measurement device 10 measures the blood pressure value of the subject at the measurement location, 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 a period within a unit period having periodicity, and is an example of the “time” in the present invention. In the following description, “unit period” is also simply referred to as “period”. Periodic periods include, for example, days, weeks, and years. The periods in the period having the periodicity include, for example, hours for days, days for weeks, and months for years. The blood pressure measurement device 10 transmits the blood pressure information to the mobile terminal 30.
　携帯端末３０は、例えば、被測定者が携帯可能な端末である。携帯端末３０は、血圧測定装置１０から血圧情報を受信すると、当該血圧情報を血圧処理装置５０に転送する。また、携帯端末３０は、血圧値の評価結果を示す評価情報を血圧処理装置５０から受信すると、当該評価結果を被測定者に通知する。 The mobile terminal 30 is, for example, a terminal that can be carried by the subject. When receiving the blood pressure information from the blood pressure measurement device 10, the mobile terminal 30 transfers the blood pressure information to the blood pressure processing device 50. Further, when receiving the evaluation information indicating the evaluation result of the blood pressure value from the blood pressure processing device 50, the mobile terminal 30 notifies the subject of the evaluation result.
　血圧処理装置５０は、例えば、被測定者の血圧値を解析処理するための機能構成を備えるサーバ装置である。血圧処理装置５０は、不特定多数の標本の血圧値の周期的な変動を統計的に集計して得られる変動特性統計情報を記憶する。変動特性統計情報は、本発明の「統計情報」の一例である。血圧処理装置５０は、血圧情報を取得すると、変動特性統計情報に基づいて血圧値の測定日時における周期的な変動量を考慮することにより、周期的な変動の影響を排除するように血圧値を補正する。血圧処理装置５０は、補正された血圧値に基づいて、被測定者の血圧値に関する解析情報を生成し、血圧評価装置７０に送信する。解析情報は、例えば、補正された血圧値に加え、被測定者の血圧値が変動する範囲や、変動の最大値、及び最小値、最頻値等の情報を含む。 The blood pressure processing device 50 is, for example, a server device having a functional configuration for analyzing and processing a blood pressure value of a subject. The blood pressure processing device 50 stores fluctuation characteristic statistical information obtained by statistically summing up periodic fluctuations in blood pressure values of an unspecified number of samples. The fluctuation characteristic statistical information is an example of the “statistical information” of the present invention. When acquiring the blood pressure information, the blood pressure processing device 50 considers the periodic fluctuation amount at the measurement date and time of the blood pressure value based on the fluctuation characteristic statistical information, and removes the blood pressure value so as to eliminate the influence of the periodic fluctuation. to correct. 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, information such as a range in which the blood pressure value of the subject changes, a maximum value, a minimum value, and a mode value of the fluctuation, in addition to the corrected blood pressure value.
　血圧評価装置７０は、例えば、被測定者の血圧値を評価するための機能構成を備える、保険会社等のサーバ装置である。血圧評価装置７０は、解析情報に基づいて評価情報を生成し、携帯端末３０に送信する。評価情報は、被測定者の健康状態に基づいて導出される任意の態様を含む。例えば、評価情報は、被測定者が加入を希望する保険の加入可否を判断するための情報や、被測定者が加入する健康保険の保険料、又は被測定者の健康状態に応じて付与されるクーポン等のリワードポイントを算定するための基礎情報を含む。 The blood pressure evaluation device 70 is, for example, a server device such as an insurance company having a functional configuration for evaluating a blood pressure value of a 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 an arbitrary mode derived based on the health condition of the subject. For example, the evaluation information is provided in accordance with information for determining whether or not to apply for insurance that the subject wants to subscribe, health insurance premium to which the subject subscribes, or the health condition of the subject. Includes basic information for calculating reward points such as coupons.
　これにより、血圧処理装置５０は、血圧値の周期的な変動量の影響を受けることなく、被測定者の健康状態に応じた解析情報を生成することができる。また、血圧評価装置７０は、当該解析情報に基づく評価情報を、被測定者に通知することができる。 Accordingly, the blood pressure processing device 50 can generate the 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.
　以上の通り、本実施形態では、不特定多数の標本についての血圧値の周期的変動を統計的に集計した変動特性統計情報が用いられる。このため、例えば、同一の被測定者によって、異なる２つの時期で互いに異なる血圧値が測定された場合、血圧処理装置５０は、これらの異なる２つの血圧値のリスクは同程度と判定可能な解析情報を生成することができる。また、例えば、２人の被測定者が互いに異なる２つの時期で血圧値を測定した結果、同じ血圧値が測定された場合、血圧処理装置５０は、当該２人の被測定者はそれぞれ異なるリスクを有すると判定可能な解析情報を生成することができる。 As described above, in the present embodiment, the fluctuation characteristic statistical information obtained by statistically summing up the periodic fluctuations of the blood pressure values for an unspecified number of samples is used. For this reason, for example, when different blood pressure values are measured at two different times by the same subject, the blood pressure processing device 50 analyzes the risk that these two different blood pressure values can determine that the risk is the same. Information can be generated. In addition, for example, when the two subjects measure the blood pressure value at two different times, and the same blood pressure value is measured, the blood pressure processing device 50 determines that the two subjects have different risks. It is possible to generate analysis information that can be determined to have
　２．２　ハードウェア構成例
　本実施形態に係る血圧処理システムにおける各装置のハードウェア構成の一例について説明する。 2.2 Example of Hardware Configuration An example of the hardware configuration of each device in the blood pressure processing system according to the present embodiment will be described.
　２．２．１　血圧測定装置のハードウェア構成例
　まず、本実施形態に係る血圧測定装置１０のハードウェア構成例について説明する。図３は、本実施形態に係る血圧測定装置１０のハードウェア構成の一例を示すブロック図である。図３に示すように、本実施形態に係る血圧測定装置１０は、制御部１１、記憶部１２、通信部１３、操作部１４、表示部１５、血圧センサ１６、加速度センサ１７、及び温湿度センサ１８を備える。 2.2.1 Hardware Configuration Example of Blood Pressure Measurement Apparatus First, a hardware configuration example of the blood pressure measurement apparatus 10 according to the present embodiment will be described. FIG. 3 is a block diagram illustrating an example of a hardware configuration of the blood pressure measurement device 10 according to the present embodiment. As shown in FIG. 3, 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. 18 is provided.
　制御部１１は、ＣＰＵ（Central Processing Unit）、ＲＡＭ（Random Access Memory）、ＲＯＭ（Read Only Memory）等を含み、情報処理に応じて各構成要素の制御を行う。また、制御部１１は、図示しないクロックを含み、現在の日時を掲示する時計機能を有する。 The control unit 11 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), 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.
　制御部１１は、血圧センサ１６、加速度センサ１７、及び温湿度センサ１８による測定結果に基づき、血圧情報、活動情報、及び環境情報を生成する。具体的には、例えば、血圧情報は、血圧センサ１６による測定に基づく、被測定者の血圧値を含む。活動情報は、加速度センサ１７による測定に基づく、被測定者の活動量、歩数、及び睡眠状態を含む。環境情報は、温湿度センサ１８による測定に基づく、被測定者の周辺の温度、及び湿度を含む。血圧情報、活動情報、及び環境情報の各々は、クロックによる測定日時と関連付けられる。また、血圧情報、活動情報、及び環境情報の各々は、血圧測定装置１０を一意に識別する機器ＩＤと更に関連付けられてもよい。 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. Specifically, for example, 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 the 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 date and time measured by the clock. Further, 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.
　記憶部１２は、例えば、ＨＤＤ（Hard Disk Drive）、ＳＳＤ（Solid State Drive）等の補助記憶装置である。記憶部１２は、血圧情報、活動情報、及び環境情報等が携帯端末３０に送信されるまでの間、これらの情報を一時的に記憶する。 The storage unit 12 is, for example, an auxiliary storage device such as a hard disk drive (HDD) and 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 mobile terminal 30.
　通信部１３は、携帯端末３０との通信を司る通信インタフェースである。通信部１３は、例えば、血圧情報、活動情報、及び環境情報等を携帯端末３０へ送信する。本実施形態では、通信部１３による携帯端末３０との通信は、例えば、ブルートゥース（登録商標）等の近距離無線通信が適用可能であるが、これに限定されない。通信部１３による通信は、例えば、ＬＡＮ（Local Area Network）のようなネットワークＮＷを介する通信、又は通信ケーブルを用いた有線の通信が適用されてもよい。 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, environmental information, and the like to the mobile terminal 30. In the present embodiment, the communication with the mobile terminal 30 by the communication unit 13 may be, for example, short-range wireless communication such as Bluetooth (registered trademark), but is not limited thereto. The 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.
　操作部１４は、例えば、タッチパネル及び操作ボタン等のユーザインタフェースを含む。操作部１４は、当該ユーザインタフェースを介して被測定者による操作を検出し、当該操作の内容を示す信号を制御部１１に出力する。 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 performed by the subject via the user interface, and outputs a signal indicating the content of the operation to the control unit 11.
　表示部１５は、例えば、表示画面（例えば、ＬＣＤ（Liquid Crystal Display）又はＥＬ（Electroluminescence）ディスプレイ等）及びインジケータ等を含む。表示部１５は、制御部１１からの信号にしたがって情報を表示し、被測定者へ通知する。 The display unit 15 includes, for example, a display screen (for example, an LCD (Liquid Crystal Display) or an EL (Electroluminescence) display) and an indicator. The display unit 15 displays information according to a signal from the control unit 11 and notifies the subject of the information.
　血圧センサ１６は、被測定者の血圧値を測定する。血圧値は、例えば、最高血圧及び最低血圧等の代表的な指数を含む。以下の説明では一例として、血圧値が最高血圧であるものとして説明するが、最低血圧及びその他の指数が最高血圧に代えて用いられてもよく、これらの複数の指数が組み合わせて用いられてもよい。 The blood pressure sensor 16 measures the blood pressure value of the subject. The blood pressure value includes a representative index such as a systolic blood pressure and a diastolic blood pressure. In the following description, as an example, the blood pressure value will be described as being the systolic blood pressure, but the diastolic blood pressure and other indices may be used instead of the systolic blood pressure, or a plurality of these indices may be used in combination. Good.
　血圧センサ１６は、例えば、被測定者の血圧を、心拍の一拍ごと（連続的）に測定可能な連続測定型でもよく、所定の時期についてスポット（非連続的）で測定可能な非連続測定型でもよい。連続測定型の血圧センサ１６には、例えば、脈波伝播時間（ＰＴＴ；Pulse Transmit Time）に基づいて被測定者の血圧を連続的に測定する手法、及び圧脈波に基づいて血圧を連続的に測定する手法（トノメトリ法）等が適用可能である。なお、連続的に血圧を測定する手法は、上述の例に限らず、発光素子を用いて脈波を検出する手法等が適宜適用可能である。非連続測定型の血圧センサ１６には、例えば、カフを圧力センサとして用いて血管を圧迫することで脈波を検出する手法（オシロメトリック法）が適用可能である。 The blood pressure sensor 16 may be, for example, a continuous measurement type that can measure the blood pressure of a person to be measured every beat (continuously) of a heartbeat, or a non-continuous measurement that can measure a spot (non-continuously) at a predetermined time. It may be a type. The continuous measurement type blood pressure sensor 16 includes, for example, a method of continuously measuring the blood pressure of the subject based on a pulse wave transit time (PTT; Pulse Transmit Time), and a method of continuously measuring the blood pressure based on a pressure pulse wave. (A tonometry method) or the like can be applied. The method of continuously measuring the blood pressure is not limited to the above example, and a method of detecting a pulse wave using a light emitting element or the like can be appropriately applied. For example, a method (oscillometric method) of detecting a pulse wave by compressing a blood vessel using a cuff as a pressure sensor is applicable to the discontinuous measurement type blood pressure sensor 16.
　加速度センサ１７は、血圧測定装置１０の装着箇所において生じる被測定者の加速度を、３軸成分の組として検出する。また、加速度センサ１７は、ジャイロセンサを更に含んでもよく、加速度に加えて、角速度を３軸成分の組として更に検出してもよい。 The acceleration sensor 17 detects the acceleration of the subject at the place where the blood pressure measurement device 10 is mounted as a set of three-axis components. Further, the acceleration sensor 17 may further include a gyro sensor, and may further detect the angular velocity in addition to the acceleration as a set of three-axis components.
　温湿度センサ１８は、被測定者の周辺の温度及び湿度を測定する。 (4) The temperature and humidity sensor 18 measures the temperature and humidity around the subject.
　２．１．２　携帯端末のハードウェア構成例
　次に、携帯端末３０のハードウェア構成例について説明する。図４は、本実施形態に係る携帯端末３０のハードウェア構成の一例を示すブロック図である。図４に示すように、本実施形態に係る携帯端末３０は、制御部３１、記憶部３２、通信部３３、操作部３４、表示部３５、及びＧＰＳ（Global Positioning System）受信機３６を備える。 2.1.2 Hardware Configuration Example of Mobile Terminal Next, a hardware configuration example of the mobile terminal 30 will be described. FIG. 4 is a block diagram illustrating an example of a hardware configuration of the mobile terminal 30 according to the present embodiment. As shown in FIG. 4, 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.
　制御部３１及び記憶部３２はそれぞれ、上記血圧測定装置１０の制御部１１及び記憶部１２と同様である。ただし、携帯端末３０の記憶部３２は、血圧測定装置１０から受信した血圧情報、活動情報、及び環境情報、並びにＧＰＳ受信機３６によって生成される位置情報等が血圧処理装置５０に送信されるまでの間、これらの情報を一時的に記憶する。 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, the storage unit 32 of the mobile terminal 30 stores 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 until the blood pressure processing device 50 transmits the blood pressure information. During this time, these pieces of information are temporarily stored.
　通信部３３は、血圧測定装置１０、血圧処理装置５０、及び血圧評価装置７０との通信を司る通信インタフェースである。通信部３３は、例えば、血圧情報、活動情報、及び環境情報等を血圧測定装置１０から受信する。また、通信部３３は、血圧情報、活動情報、環境情報、位置情報等を血圧処理装置５０に送信し、評価情報を血圧評価装置７０から受信する。本実施形態では、通信部３３による血圧処理装置５０及び血圧評価装置７０との通信は、例えば、ネットワークＮＷを介する通信が適用可能であるが、これに限定されず、近距離無線通信、又は有線通信が適用されてもよい。 The communication unit 33 is a communication interface that manages 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. In addition, 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. In the present embodiment, the communication between 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.
　操作部３４及び表示部３５はそれぞれ、上記血圧測定装置１０の操作部１４及び表示部１５と同様である。 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.
　ＧＰＳ受信機３６は、携帯端末３０の位置を測位し、位置情報を生成する。位置情報は、例えば、測位日時、並びに測位日時における携帯端末３０の緯度、及び経度を含む。ＧＰＳ受信機３６による測位は、例えば、血圧測定装置１０の血圧センサ１６の測定と同期して行うことが可能である。 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 mobile 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.
　２．２．３　血圧処理装置のハードウェア構成例
　次に、血圧処理装置５０のハードウェア構成例について説明する。図５は、本実施形態に係る血圧処理装置５０のハードウェア構成の一例を示すブロック図である。図５に示すように、本実施形態に係る血圧処理装置５０は、制御部５１、記憶部５２、通信部５３、及びドライブ５４を備える。 2.2.3 Hardware Configuration Example of Blood Pressure Processing Apparatus Next, a hardware configuration example of the blood pressure processing apparatus 50 will be described. FIG. 5 is a block diagram illustrating an example of a hardware configuration of the blood pressure processing device 50 according to the present embodiment. As shown in FIG. 5, 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.
　制御部５１及び記憶部５２はそれぞれ、上記血圧測定装置１０の制御部１１及び記憶部１２と同様である。ただし、血圧処理装置５０の記憶部５２は、制御部５１で実行される血圧処理プログラム５２１、並びに血圧処理プログラム５２１において用いられる被測定者情報５２２、及び変動特性統計情報５２３等を記憶する。 The control unit 51 and the storage unit 52 are the same as the control unit 11 and the storage unit 12 of the blood pressure measurement device 10, respectively. However, the storage unit 52 of the blood pressure processing device 50 stores the blood pressure processing program 521 executed by the control unit 51, the subject information 522 used in the blood pressure processing program 521, the fluctuation characteristic statistical information 523, and the like.
　通信部５３は、携帯端末３０及び血圧評価装置７０との通信を司る通信インタフェースである。通信部５３は、例えば、血圧情報、活動情報、環境情報、及び位置情報等を携帯端末３０から受信する。また、通信部５３は、血圧値の解析情報を血圧評価装置７０に送信する。 The communication unit 53 is a communication interface that manages communication with the mobile 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 mobile terminal 30. In addition, the communication unit 53 transmits the blood pressure value analysis information to the blood pressure evaluation device 70.
　ドライブ５４は、例えば、ＣＤ（Compact Disk）ドライブ、ＤＶＤ（Digital Versatile Disk）ドライブ等であり、記憶媒体５５に記憶されたプログラムを読込むための装置である。ドライブ５４の種類は、記憶媒体５５の種類に応じて適宜選択されてよい。上記血圧処理プログラム５２１、並びに被測定者情報５２２、及び変動特性統計情報５２３は、この記憶媒体５５に記憶されていてもよい。 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 the drive 54 may be appropriately selected according to the type of the storage medium 55. The blood pressure processing program 521, the subject information 522, and the fluctuation characteristic statistical information 523 may be stored in the storage medium 55.
　記憶媒体５５は、コンピュータその他装置、機械等が記録されたプログラム等の情報を読取り可能なように、当該プログラム等の情報を、電気的、磁気的、光学的、機械的又は化学的作用によって蓄積する媒体である。血圧処理装置５０は、この記憶媒体５５から、血圧処理プログラム５２１、並びに被測定者情報５２２、及び変動特性統計情報５２３を取得してもよい。 The storage medium 55 stores the information such as the program by an electric, magnetic, optical, mechanical, or chemical action so that the computer or the like can read the information such as the recorded program. It is a medium to do. The blood pressure processing device 50 may acquire the blood pressure processing program 521, the subject information 522, and the fluctuation characteristic statistical information 523 from the storage medium 55.
　血圧処理プログラム５２１は、後述する血圧値を解析処理する血圧解析処理（図１０）を、血圧処理装置５０に実行させるためのプログラムである。 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. 10) for analyzing a blood pressure value described later.
　被測定者情報５２２は、評価の対象となり得る血圧値の被測定者に関する情報である。被測定者情報５２２は、例えば、氏名、年齢、性別、住所、肥満度、及び喫煙の有無等の属性情報と、当該属性情報に対応する被測定者が所持する血圧測定装置１０の機器ＩＤとが関連付けられ、記憶部５２に予め記憶される。肥満度は、例えば、体脂肪率及びＢＭＩ（Body Mass Index）等を含む。被測定者情報５２２は、被測定者からの申告によって適宜更新される。 The subject information 522 is information on the subject whose blood pressure value can be evaluated. The subject information 522 includes, for example, attribute information such as name, age, gender, address, obesity degree, and smoking status, and the device ID of the blood pressure measurement device 10 owned by the subject corresponding to the attribute information. Are stored in the storage unit 52 in advance. The obesity degree includes, for example, body fat percentage and BMI (BodyBMass Index). The subject information 522 is appropriately updated by a report from the subject.
　変動特性統計情報５２３は、所定の長さの期間を周期として血圧値が周期的に変動する様子を示す情報である。また、変動特性統計情報５２３は、評価対象の被測定者とは異なる不特定多数の被測定者から取得された血圧情報に基づいて統計的に算出され、記憶部５２に予め記憶される。すなわち、変動特性統計情報５２３は、当該情報の生成に用いられた被測定者の大多数に共通する血圧値の変動特性にしたがう変動量、すなわち、周期内の時期における最も確からしい変動量が示される。 The fluctuation characteristic statistical information 523 is information indicating a state in which the blood pressure value periodically fluctuates with a period of a predetermined length as a cycle. Further, the fluctuation characteristic statistical information 523 is statistically calculated based on blood pressure information obtained from an unspecified number of subjects different from the subject to be evaluated, and is stored in the storage unit 52 in advance. That is, the fluctuation characteristic statistical information 523 indicates the fluctuation amount according to the fluctuation characteristic of the blood pressure value common to the majority of the subjects used for generating the information, that is, the most probable fluctuation amount in the period within the cycle. It is.
　図６は、本実施形態に係る変動特性統計情報５２３の一例を例示するダイアグラムである。図６の例では、変動特性統計情報５２３は、１年間を周期として、血圧値が所定の平均値周りに周期的に変動する様子を示している。 FIG. 6 is a diagram illustrating an example of the fluctuation characteristic statistical information 523 according to the present embodiment. In the example of FIG. 6, the fluctuation characteristic statistical information 523 indicates a state in which the blood pressure value periodically fluctuates around a predetermined average value with a period of one year.
　図６に示すように、１年間を血圧変動の周期とした場合、血圧値の変動量は、月（又は季節）に応じて平均値（例えば、“０”）に対して上下する。より具体的には、例えば、血圧値の変動量は、１２月～３月の期間（冬）に平均値（血圧値の変動量“０”）に対して高くなり、６月～９月の期間（夏）に平均値に対して低くなる。また、例えば、血圧値の変動量は、３月～６月の期間（春）と、９月～１２月の期間（秋）とで平均値付近を推移する。１年間を周期とする変動の場合、その変動幅は、最大で１０～２０ｍｍＨｇ程度になり得る。 As shown in FIG. 6, when one year is the cycle of blood pressure fluctuation, the fluctuation amount of the blood pressure value fluctuates with respect to the average value (for example, “0”) according to the month (or season). More specifically, for example, the fluctuation amount of the blood pressure value is higher than the average value (the fluctuation amount of the blood pressure value “0”) during the period from December to March (winter), and is changed from June to September. It is lower than the average value during the period (summer). Further, for example, the fluctuation amount of the blood pressure value changes around the average value in a period from March to June (spring) and in a period from September to December (autumn). In the case of fluctuations with a cycle of one year, the fluctuation width can be up to about 10 to 20 mmHg.
　なお、変動特性統計情報５２３には、図６に示された変動特性及び変動量に限らず、図６の例と傾向と異なる任意の変動特性及び変動量が適用可能である。 Note that the fluctuation characteristic statistical information 523 is not limited to the fluctuation characteristics and fluctuation amounts shown in FIG. 6, and any fluctuation characteristics and fluctuation amounts different from those in the example of FIG. 6 can be applied.
　２．２．４　血圧評価装置のハードウェア構成例
　次に、血圧評価装置７０のハードウェア構成例について説明する。図７は、本実施形態に係る血圧評価装置７０のハードウェア構成の一例を示すブロック図である。図７に示すように、本実施形態に係る血圧評価装置７０は、制御部７１、記憶部７２、通信部７３、及びドライブ７４を備える。 2.2.4 Hardware Configuration Example of Blood Pressure Evaluation Apparatus Next, a hardware configuration example of the blood pressure evaluation apparatus 70 will be described. FIG. 7 is a block diagram illustrating an example of a hardware configuration of the blood pressure evaluation device 70 according to the present embodiment. As shown in FIG. 7, 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.
　制御部７１及び記憶部７２はそれぞれ、上記血圧測定装置１０の制御部１１及び記憶部１２と同様である。ただし、血圧評価装置７０の記憶部７２は、制御部７１で実行される血圧評価プログラム７２１、並びに血圧評価プログラム７２１において用いられる被測定者情報７２２、及び評価基準情報７２３等を記憶する。 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. However, the storage unit 72 of the blood pressure evaluation device 70 stores the blood pressure evaluation program 721 executed by the control unit 71, the subject information 722 used in the blood pressure evaluation program 721, the evaluation reference information 723, and the like.
　通信部７３は、携帯端末３０及び血圧処理装置５０との通信を司る通信インタフェースである。通信部７３は、例えば、解析情報等を血圧処理装置５０から受信する。また、通信部７３は、血圧値の評価情報を携帯端末３０に送信する。 The communication unit 73 is a communication interface that manages communication with the mobile 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 blood pressure value evaluation information to the mobile terminal 30.
　ドライブ７４及び記憶媒体７５は、上記血圧処理装置５０のドライブ５４及び記憶媒体５５と同様である。ただし、上記血圧評価プログラム７２１、並びに被測定者情報７２２及び評価基準情報７２３は、この記憶媒体７５に記憶されていてもよい。すなわち、血圧評価装置７０は、この記憶媒体７５から、血圧評価プログラム７２１、並びに被測定者情報７２２及び評価基準情報７２３を取得してもよい。 The drive 74 and the storage medium 75 are the same as the drive 54 and the storage medium 55 of the blood pressure processing device 50. However, the blood pressure evaluation program 721, the 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 acquire the blood pressure evaluation program 721, the subject information 722, and the evaluation reference information 723 from the storage medium 75.
　血圧評価プログラム７２１は、後述する血圧評価処理（図１１）を、血圧評価装置７０に実行させるためのプログラムである。 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. 11) described later.
　被測定者情報７２２は、上記血圧処理装置５０の被測定者情報５２２と同様である。 The subject information 722 is the same as the subject information 522 of the blood pressure processing device 50.
　評価基準情報７２３は、血圧値と評価結果との関係を定義するための情報である。評価基準情報７２３は、評価内容に応じて種々の態様を取り得る。評価内容が被測定者の保険加入の可否を示す情報である場合、評価基準情報７２３は、例えば、血圧値を閾値として、当該閾値を上回る血圧値に保険加入不可を示す情報を対応付け、当該閾値を下回る血圧値に保険加入可を示す情報を対応付ける。また、評価内容が被測定者の保険料又はリワードポイントである場合、評価基準情報７２３は、例えば、血圧値を引数として含む関数の出力値を閾値として、血圧値に保険料又はリワードポイントを対応付ける。評価基準情報７２３は、被測定者の属性情報に応じて、異なる基準が設定されてもよい。 Evaluation reference information 723 is information for defining the relationship between the blood pressure value and the evaluation result. The evaluation criterion information 723 can take various forms according to the content of the evaluation. If the evaluation content is information indicating whether or not the subject is enrolled in the insurance, the evaluation criterion information 723, for example, associates a blood pressure value as a threshold with information indicating that insurance cannot be enrolled to a blood pressure value exceeding the threshold. Information indicating that insurance coverage is possible is associated with a blood pressure value below the threshold. In addition, when the evaluation content is the premium or reward point of the subject, the evaluation criterion information 723 associates the premium or the 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 a threshold value. . Different criteria may be set as the evaluation criterion information 723 according to the attribute information of the subject.
　２．３　機能構成例
　次に、本実施形態に係る血圧処理システムの機能構成の一例について説明する。 2.3 Example of Functional Configuration Next, an example of a functional configuration of the blood pressure processing system according to the present embodiment will be described.
　２．３．１　血圧処理装置の機能構成例
　図８は、本実施形態に係る血圧処理システムの血圧処理装置５０の機能構成の一例を模式的に示すブロック図である。 2.3.1 Functional Configuration Example of Blood Pressure Processing Apparatus FIG. 8 is a block diagram schematically illustrating an example of a functional configuration of the blood pressure processing apparatus 50 of the blood pressure processing system according to the present embodiment.
　血圧処理装置５０の制御部５１は、記憶部５２に記憶された血圧処理プログラム５２１をＲＡＭに展開する。そして、制御部５１は、ＲＡＭに展開された血圧処理プログラム５２１をＣＰＵにより解釈及び実行して、各構成要素を制御する。これによって、図８に示されるように、本実施形態に係る血圧処理装置５０は、取得部５１１、解析部５１２、及び出力部５１３を備えるコンピュータとして機能する。 制 御 The control unit 51 of the blood pressure processing device 50 loads the blood pressure processing program 521 stored in the storage unit 52 on the RAM. Then, the control unit 51 interprets and executes the blood pressure processing program 521 developed in the RAM by the CPU, and controls each component. Thereby, as illustrated in FIG. 8, the blood pressure processing device 50 according to the present embodiment functions as a computer including the acquisition unit 511, the analysis unit 512, and the output unit 513.
　取得部５１１は、血圧測定装置１０及び携帯端末３０が測定した各種情報を取得する。具体的には、例えば、取得部５１１は、血圧情報を取得し、解析部５１２に転送する。また、取得部５１１は、活動情報、環境情報、及び位置情報を更に取得し、解析部５１２に転送してもよい。 The acquisition unit 511 acquires various information measured by the blood pressure measurement device 10 and the mobile terminal 30. Specifically, for example, the obtaining unit 511 obtains blood pressure information and transfers it to the analyzing unit 512. Further, the acquisition unit 511 may further acquire the activity information, the environment information, and the position information, and transfer the acquired information to the analysis unit 512.
　解析部５１２は、血圧値に内在する周期的な変動量を補正しつつ、血圧値を補正し、解析する。具体的には、解析部５１２は、補正部５１４及び解析情報生成部５１５を含む。 The analysis unit 512 corrects and analyzes the blood pressure value while correcting the periodic fluctuation amount inherent in the blood pressure value. Specifically, the analysis unit 512 includes a correction unit 514 and an analysis information generation unit 515.
　補正部５１４は、取得部５１１から血圧情報を受けると、当該血圧情報の測定日時を抽出する。補正部５１４は、変動特性統計情報５２３を読出し、血圧情報から抽出した測定日時に該当する周期内の時期を特定する。補正部５１４は、変動特性統計情報５２３から、特定された周期内の時期に対応する血圧値の変動量を抽出し、当該変動量に基づいて血圧値を補正する。具体的には、例えば、補正部５１４は、血圧値から周期的な変動量を差し引き、測定日時に依存しない補正済み血圧値を算出する。より具体的には、補正済み血圧値は、期間内において変動する血圧値の平均値となるように算出されてもよい。補正部５１４は、血圧情報内の血圧値を補正済み血圧値に書き換えて補正情報を生成する。補正部５１４は、生成された補正情報を解析情報生成部５１５に送出する。 When receiving the blood pressure information from the acquisition unit 511, the correction unit 514 extracts the measurement date and time of the blood pressure information. The correction unit 514 reads the fluctuation characteristic statistical information 523 and specifies a time within a cycle corresponding to the measurement date and time extracted from the blood pressure information. The correction unit 514 extracts, from the fluctuation characteristic statistical information 523, a fluctuation amount of the blood pressure value corresponding to the time within the specified cycle, and corrects the blood pressure value based on the fluctuation amount. Specifically, for example, the correction unit 514 calculates a corrected blood pressure value that does not depend on the measurement date and time by subtracting the periodic fluctuation amount from the blood pressure value. More specifically, the corrected blood pressure value may be calculated to be the average of the blood pressure values that fluctuate within the period. The correction unit 514 rewrites the blood pressure value in the blood pressure information to a corrected blood pressure value to generate correction information. The correction unit 514 sends the generated correction information to the analysis information generation unit 515.
　解析情報生成部５１５は、補正情報を受けると、変動特性統計情報５２３を用いて、補正情報と共に血圧値の評価に用いられ得る情報を含む解析情報を生成する。解析情報は、後述の血圧評価装置７０による評価の際に、補正済み血圧値と組み合わせることによって評価情報の精度を高め得る。具体的には、例えば、解析情報は、補正済み血圧値に加えて、期間内における血圧値の変動幅や、最大値、最小値、及び最頻値等を含む。これにより、被測定者の血圧値が補正済み血圧値を平均としてどの程度変化し得るか、といった情報を評価の際に考慮することができる。解析情報生成部５１５は、生成された解析情報を出力部５１３に送出する。 When receiving the correction information, the analysis information generation unit 515 generates analysis information including information that can be used for evaluating the blood pressure value together with the correction information, using the fluctuation characteristic statistical information 523. The analysis information can enhance the accuracy of the evaluation information by being combined with the corrected blood pressure value at the time of evaluation by the blood pressure evaluation device 70 described later. Specifically, for example, the analysis information includes, in addition to the corrected blood pressure value, a fluctuation range of the blood pressure value within the period, a maximum value, a minimum value, a mode value, and the like. Thus, information such as how much the blood pressure value of the subject can change with the corrected blood pressure value as an average can be considered in the evaluation. The analysis information generation unit 515 sends the generated analysis information to the output unit 513.
　出力部５１３は、解析情報を血圧評価装置７０に出力する。 The output unit 513 outputs the analysis information to the blood pressure evaluation device 70.
　２．３．２　血圧評価装置の機能構成例
　図９は、本実施形態に係る血圧処理システムの血圧評価装置７０の機能構成の一例を模式的に示すブロック図である。 2.3.2 Example of Functional Configuration of Blood Pressure Evaluation Apparatus FIG. 9 is a block diagram schematically illustrating an example of the functional configuration of the blood pressure evaluation apparatus 70 of the blood pressure processing system according to the present embodiment.
　血圧評価装置７０の制御部７１は、記憶部７２に記憶された血圧評価プログラム７２１をＲＡＭに展開する。そして、制御部７１は、ＲＡＭに展開された血圧評価プログラム７２１をＣＰＵにより解釈及び実行して、各構成要素を制御する。これによって、図９に示されるように、本実施形態に係る血圧評価装置７０は、取得部７１１、評価部７１２、及び出力部７１３を備えるコンピュータとして機能する。 The control unit 71 of the blood pressure evaluation device 70 loads the blood pressure evaluation program 721 stored in the storage unit 72 into the RAM. Then, the control unit 71 interprets and executes the blood pressure evaluation program 721 developed in the RAM by the CPU, and controls each component. Thereby, as illustrated in FIG. 9, the blood pressure evaluation device 70 according to the present embodiment functions as a computer including the acquisition unit 711, the evaluation unit 712, and the output unit 713.
　取得部７１１は、血圧処理装置５０から出力された解析情報を取得する。 The acquisition unit 711 acquires the analysis information output from the blood pressure processing device 50.
　評価部７１２は、解析情報を受けると、被測定者情報７２２を読出し、当該解析情報内の機器ＩＤに対応付けられた人物を特定する。評価部７１２は、特定された人物の属性情報に応じた評価基準情報７２３を設定し、補正済み血圧値に応じた評価情報を生成する。また、評価部７１２は、補正済み血圧値に加え、血圧値の変動幅等の情報を併せて考慮して、評価情報を生成してもよい。 Upon receiving the analysis information, the evaluation unit 712 reads the subject information 722 and specifies the person associated with the device ID in the analysis information. The evaluation unit 712 sets evaluation reference information 723 corresponding to the attribute information of the specified person, and generates evaluation information corresponding to the corrected blood pressure value. In addition, the evaluation unit 712 may generate the evaluation information in consideration of information such as a fluctuation range of the blood pressure value in addition to the corrected blood pressure value.
　評価情報は、例えば、評価結果として被測定者が加入を希望する保険の加入の可否を判定するための情報と、被測定者が加入する健康保険の保険料、又は被測定者の健康状態に応じて付与されるクーポン等のリワードポイントを算定するための情報を含んでもよい。 The evaluation information includes, for example, information for determining whether or not to join the insurance desired by the subject as an evaluation result, insurance premiums of the health insurance that the subject joins, or the health condition of the subject. It may include information for calculating reward points such as coupons provided accordingly.
　出力部７１３は、評価情報を携帯端末３０に出力する。 The output unit 713 outputs the evaluation information to the mobile terminal 30.
　２．４．　動作例
　次に、本実施形態に係る血圧処理システムの動作例について説明する。なお、以下で説明する処理手順は一例に過ぎず、各処理は可能な限り変更されてよい。また、以下で説明する処理手順について、実施の形態に応じて、適宜、ステップの省略、置換、及び追加が可能である。 2.4. Operation Example Next, an operation example of the blood pressure processing system according to the present embodiment will be described. Note that the processing procedure described below is merely an example, and each processing may be changed as much as possible. Further, in the processing procedure described below, steps can be omitted, replaced, and added as appropriate according to the embodiment.
　２．４．１　血圧処理装置の動作例
　図１０は、本実施形態に係る血圧処理装置５０における血圧解析処理の手順の一例を模式的に示すフローチャートである。 2.4.1 Operation Example of Blood Pressure Processing Device FIG. 10 is a flowchart schematically illustrating an example of a procedure of a blood pressure analysis process in the blood pressure processing device 50 according to the present embodiment.
　（ステップＳＴ１０）
　まず、ステップＳＴ１０では、制御部５１は、記憶部５２に変動特性統計情報５２３を記憶させる。また、制御部５１は、記憶部５２に被測定者情報５２２についても記憶させる。 (Step ST10)
First, in step ST10, the control unit 51 causes the storage unit 52 to store the fluctuation characteristic statistical information 523. Further, the control unit 51 causes the storage unit 52 to store the subject information 522 as well.
　（ステップＳＴ２０）
　ステップＳＴ２０では、制御部５１は、通信部５３を取得部５１１として機能させ、携帯端末３０を介して、血圧情報を取得する。また、通信部５３は、活動情報、環境情報、及び位置情報を更に取得してもよい。 (Step ST20)
In step ST20, the control unit 51 causes the communication unit 53 to function as the acquisition unit 511, and acquires blood pressure information via the mobile terminal 30. Further, the communication unit 53 may further acquire activity information, environmental information, and position information.
　（ステップＳＴ３０）
　ステップＳＴ３０では、制御部５１は、補正部５１４として機能し、ステップＳＴ１０で記憶した変動特性統計情報５２３に基づき、ステップＳＴ２０で取得した血圧情報の補正情報を生成する。 (Step ST30)
In step ST30, the control unit 51 functions as the correction unit 514, and generates correction information of the blood pressure information acquired in step ST20 based on the fluctuation characteristic statistical information 523 stored in step ST10.
　具体的には、制御部５１は、血圧情報内の測定日時に対応する血圧値の変動量を、変動特性統計情報５２３から抽出する。制御部５１は、抽出された変動量を血圧値から差し引き、周期的な変動によらない補正済み血圧値を算出する。制御部５１は、補正済み血圧値を含む補正情報を生成し、解析情報生成部５１５に送信する。 Specifically, the control unit 51 extracts, from the fluctuation characteristic statistical information 523, the fluctuation amount of the blood pressure value corresponding to the measurement date and time in the blood pressure information. The control unit 51 subtracts the extracted fluctuation amount from the blood pressure value, and calculates a corrected blood pressure value that does not depend on the 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 515.
　（ステップＳＴ４０）
　ステップＳＴ４０では、制御部５１は、解析情報生成部５１５として機能し、ステップＳＴ３０で生成した補正情報に基づき、解析情報を生成する。 (Step ST40)
In step ST40, the control unit 51 functions as the analysis information generation unit 515, and generates analysis information based on the correction information generated in step ST30.
　具体的には、制御部５１は、変動特性統計情報５２３に基づき、補正済み血圧値まわりの血圧値の変動幅等を算出し、補正情報に加えることにより、解析情報を生成する。 Specifically, the control unit 51 calculates the fluctuation range of the blood pressure value around the corrected blood pressure value based on the fluctuation characteristic statistical information 523, and generates analysis information by adding the fluctuation width to the correction information.
　（出力）
　最後に、制御部５１は、通信部５３を出力部５１３として機能させ、ステップＳＴ４０で生成した解析情報を血圧評価装置７０に出力する。 (output)
Finally, the control unit 51 causes the communication unit 53 to function as the output unit 513, and outputs the analysis information generated in step ST40 to the blood pressure evaluation device 70.
　以上で、血圧処理装置５０の動作は終了する。 With the above, the operation of the blood pressure processing device 50 ends.
　２．４．２　血圧評価装置の動作例
　図１１は、本実施形態に係る血圧評価装置７０における血圧評価処理の手順の一例を模式的に示すフローチャートである。 2.4.2 Operation Example of Blood Pressure Evaluation Apparatus FIG. 11 is a flowchart schematically illustrating an example of a procedure of a blood pressure evaluation process in the blood pressure evaluation apparatus 70 according to the present embodiment.
　（ステップＳＴ５０）
　ステップＳＴ５０では、制御部７１は、通信部７３を取得部７１１として機能させ、血圧処理装置５０から解析情報を取得する。 (Step ST50)
In step ST50, 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.
　（ステップＳＴ６０）
　ステップＳＴ６０では、制御部７１は、評価部７１２として機能し、被測定者情報７２２及び評価基準情報７２３に基づいてステップＳＴ５０で取得した解析情報を評価し、評価情報を生成する。 (Step ST60)
In step ST60, the control unit 71 functions as the evaluation unit 712, evaluates the analysis information acquired in step ST50 based on the subject information 722 and the evaluation reference information 723, and generates evaluation information.
　具体的には、制御部７１は、解析情報内の機器ＩＤを介して、血圧情報内の血圧値に対応する被測定者情報７２２内の属性情報を特定する。また、制御部７１は、当該特定された属性情報に応じて、評価基準情報７２３を設定する。制御部７１は、設定された評価基準情報７２３に基づいて補正済み血圧値、及び解析情報内のその他の情報を評価し、評価結果を含む評価情報を生成する。 Specifically, the control unit 71 specifies attribute information in the subject information 722 corresponding to the blood pressure value in the blood pressure information via 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 criterion information 723, and generates evaluation information including an evaluation result.
　（ステップＳＴ７０）
　最後に、制御部７１は、通信部７３を出力部７１３として機能させ、ステップＳＴ６０で生成した評価情報を携帯端末３０に出力する。出力された評価情報は、例えば、携帯端末３０の表示部３５を介して被測定者に通知される。 (Step ST70)
Finally, the control unit 71 causes the communication unit 73 to function as the output unit 713, and outputs the evaluation information generated in step ST60 to the mobile terminal 30. The output evaluation information is notified to the subject via the display unit 35 of the mobile terminal 30, for example.
　以上で、血圧評価装置７０の動作は終了する。 With the above, the operation of the blood pressure evaluation device 70 ends.
　２．５　作用・効果
　本実施形態によれば、測定時期によらず、被測定者の血圧値を適正に処理可能にする技術を提供することができる。本効果につき、図１２を用いて以下に説明する。図１２は、本実施形態の効果の一例を説明するための模式図である。 2.5 Function / Effect According to the present embodiment, it is possible to provide a technology that can appropriately process the blood pressure value of the subject regardless of the measurement timing. This effect will be described below with reference to FIG. FIG. 12 is a schematic diagram for explaining an example of the effect of the present embodiment.
　図１２の例では、ステップＳＴ２０において、同一の被測定者から、血圧情報Ｐ１１及びＰ１３が取得される場合が示される。血圧情報Ｐ１１及びＰ１３は、互いに異なる測定時期、及び互いに異なる血圧値を含む。具体的には、例えば、血圧情報Ｐ１１は、１年間の変動周期中において、血圧値が変動の平均値よりも高くなる時期において測定されているのに対し、血圧情報Ｐ１３は、血圧値が変動の平均値よりも低くなる時期において測定されている。このため、血圧情報Ｐ１１の血圧値は、血圧情報Ｐ１３の血圧値よりも高い。しかしながら、血圧情報Ｐ１１及びＰ１３は、同一の被測定者から測定されたものであるから、同程度のリスクを有すると評価可能な情報に補正されることが望ましい。 In the example of FIG. 12, a case is shown in which the blood pressure information P11 and P13 are acquired from the same subject in step ST20. The blood pressure information P11 and P13 include different measurement times and different blood pressure values. Specifically, for example, while the blood pressure information P11 is measured at a time when the blood pressure value becomes higher than the average value of the fluctuation during the fluctuation cycle of one year, the blood pressure information P13 indicates that the blood pressure value is changed. Are measured at a time when the average value is lower than the average value. For this reason, the blood pressure value of the blood pressure information P11 is higher than the blood pressure value of the blood pressure information P13. However, since the blood pressure information P11 and P13 are measured from the same subject, it is preferable that the blood pressure information P11 and P13 be corrected to information that can be evaluated to have the same level of risk.
　このような場合、ステップＳＴ３０において、制御部５１は、変動特性統計情報５２３に基づき、血圧情報Ｐ１１及びＰ１３をそれぞれ補正情報Ｐ１２及びＰ１４に補正する。血圧情報Ｐ１１及びＰ１３には、変動特性統計情報５２３に基づいて変動曲線Ｌ１０が共に適用される。このため、補正情報Ｐ１２及びＰ１４の補正済み血圧値はいずれも、補正済み血圧値Ｐｃ１で一致する。 In such a case, in step ST30, the control unit 51 corrects the blood pressure information P11 and P13 to correction information P12 and P14 based on the fluctuation characteristic statistical information 523, respectively. The fluctuation curve L10 is applied to both the blood pressure information P11 and P13 based on the fluctuation characteristic statistical information 523. For this reason, the corrected blood pressure values of the correction information P12 and P14 both match the corrected blood pressure value Pc1.
　このように、本実施形態によれば、同一の被測定者からの測定時期が異なる血圧値を、測定時期に応じて補正することができる。このため、ステップＳＴ３０において、制御部５１は、２つの血圧情報Ｐ１１及びＰ１３から、補正済み血圧値Ｐｃ１を生成することができる。したがって、血圧処理装置５０は、血圧情報Ｐ１１及びＰ１３が同程度のリスクを有すると評価可能な情報を血圧評価装置７０に対して提供することができる。 As described above, according to the present embodiment, it is possible to correct blood pressure values from the same subject at different measurement times according to the measurement time. For this reason, in step ST30, the control unit 51 can generate the corrected blood pressure value Pc1 from the two blood pressure information P11 and P13. 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 P11 and P13 have the same level of risk.
　また、図１２の例では、ステップＳＴ２０において、血圧情報Ｐ１１及びＰ１３の被測定者と異なる被測定者から、血圧情報Ｐ２１が更に取得される場合が示される。血圧情報Ｐ２１は、例えば、血圧情報Ｐ１１と血圧値は同程度であるものの、測定時期が異なる。具体的には、例えば、血圧情報Ｐ１１は、１年間の変動周期中において、血圧値が変動の平均値よりも高くなる時期において測定されているのに対し、血圧情報Ｐ２１は、血圧値が変動の平均値よりも低くなる時期において測定されている。このため、血圧情報Ｐ１１及びＰ２１は、互いに異なるリスクを有すると評価可能な情報に補正されることが望ましい。 In the example of FIG. 12, a case is shown in which the blood pressure information P21 is further acquired from a subject different from the subjects of the blood pressure information P11 and P13 in step ST20. The blood pressure information P21 has, for example, the same blood pressure value as the blood pressure information P11, but has a different measurement time. Specifically, for example, while the blood pressure information P11 is measured at a time when the blood pressure value becomes higher than the average value of the fluctuation during the fluctuation cycle of one year, the blood pressure information P21 indicates that the blood pressure value Are measured at a time when the average value is lower than the average value. Therefore, it is desirable that the blood pressure information P11 and P21 be corrected to information that can be evaluated as having different risks.
　このような場合、ステップＳＴ３０において、制御部５１は、変動特性統計情報５２３に基づき、血圧情報Ｐ１１及びＰ２１をそれぞれ補正情報Ｐ１２及びＰ２２に補正する。血圧情報Ｐ１１及びＰ２１にはそれぞれ、変動特性統計情報５２３に基づいて、互いに異なる変動曲線Ｌ１０及びＬ２０が適用される。このため、補正情報Ｐ２２の補正済み血圧値は、補正済み血圧値Ｐｃ１より大きい補正済み血圧値Ｐｃ２となる。 In such a case, in step ST30, the control unit 51 corrects the blood pressure information P11 and P21 to correction information P12 and P22, respectively, based on the fluctuation characteristic statistical information 523. Different variation curves L10 and L20 are applied to the blood pressure information P11 and P21, respectively, based on the variation characteristic statistical information 523. Therefore, the corrected blood pressure value of the correction information P22 is a corrected blood pressure value Pc2 that is larger than the corrected blood pressure value Pc1.
　このように、本実施形態によれば、異なる被測定者からの測定時期が異なる血圧値を、測定時期に応じて補正することができる。このため、ステップＳＴ３０において、制御部５１は、２つの血圧情報Ｐ１１及びＰ２１からそれぞれ補正済み血圧値Ｐｃ１及びＰｃ２を生成することができる。したがって、血圧処理装置５０は、血圧情報Ｐ１１及びＰ２１が異なるリスクを有すると評価可能な情報を血圧評価装置７０に対して提供することができる。 As described above, according to the present embodiment, it is possible to correct blood pressure values from different subjects at different measurement timings in accordance with the measurement timings. For this reason, in step ST30, the control unit 51 can generate corrected blood pressure values Pc1 and Pc2 from the two blood pressure information P11 and P21, respectively. 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 P11 and P21 have different risks.
　また、ステップＳＴ４０において、制御部５１は、補正済み血圧値Ｐｃ１及びＰｃ２に加えて、被測定者の血圧値が補正済み血圧値Ｐｃ１及びＰｃ２を平均値としてどの程度変動するかを示す情報を解析情報に含めることができる。これにより、血圧処理装置５０は、被測定者のリスクを更に正確に評価するための情報を血圧評価装置７０に対して提供することができる。 In step ST40, 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, in addition to the corrected blood pressure values Pc1 and Pc2. Can be included in the information. Accordingly, 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.
　３．　変形例等
　以上、本発明の実施の形態を詳細に説明してきたが、前述までの説明はあらゆる点において本発明の例示に過ぎない。本発明の範囲を逸脱することなく種々の改良や変形を行うことができることは言うまでもない。例えば、以下のような変更が可能である。なお、以下では、上記実施形態と同様の構成要素に関しては同様の符号を用い、上記実施形態と同様の点については、適宜説明を省略した。以下の変形例は適宜組み合わせ可能である。 3. Modifications, etc. The embodiments of the present invention have been described above in detail. However, the above description is merely illustrative of the present invention in all aspects. It goes without saying that various improvements and modifications can be made without departing from the scope of the invention. For example, the following changes are possible. In the following, the same reference numerals are used for the same components as those in the above-described embodiment, and the same points as those in the above-described embodiment will not be described. The following modifications can be combined as appropriate.
　３．１　第１変形例
　例えば、上記実施形態では、変動特性統計情報５２３における血圧変動の周期が１年間である場合について説明したが、血圧変動の周期は、血圧変動が統計的に周期性を有する期間であれば、１年間に限らず任意の期間が適用可能である。 3.1 First Modification For example, in the above-described embodiment, a case has been described in which the cycle of the blood pressure change in the change characteristic statistical information 523 is one year. As long as it has a period, any period is applicable, not limited to one year.
　具体的には、例えば、血圧変動の周期は、１週間、及び１日間のいずれかが設定されてもよい。図１３及び図１４は、本実施形態の第１変形例に係る変動特性統計情報５２３の一例を例示するダイアグラムである。図１３及び図１４の例ではそれぞれ、変動特性統計情報５２３は、１週間及び１日間を周期として、血圧値が周期的に変動する様子を示している。 Specifically, for example, the cycle of the blood pressure fluctuation may be set to one week or one day. FIG. 13 and FIG. 14 are diagrams illustrating an example of the fluctuation characteristic statistical information 523 according to the first modification of the present embodiment. In the examples of FIGS. 13 and 14, the fluctuation characteristic statistical information 523 indicates a state in which the blood pressure value periodically fluctuates with a cycle of one week and one day.
　図１３に示すように、１週間を血圧変動の周期とした場合、血圧値の変動量は、曜日に応じて平均値（例えば、“０”）に対して上下する。より具体的には、例えば、血圧値の変動量は、月曜日から火曜日の期間（週の始め）で平均値に対して高くなり、水曜日から日曜日の期間（その他）とで平均値に対して低くなる。 As shown in FIG. 13, when one week is the cycle of blood pressure fluctuation, the fluctuation amount of the blood pressure value fluctuates 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 during the period from Monday to Tuesday (the beginning of the week) and lower than the average value during the period from Wednesday to Sunday (others). Become.
　また、図１４に示すように、１日間を血圧変動の周期とした場合、血圧値の変動量は、時間に応じて平均値（例えば、“０”）に対して上下する。より具体的には、例えば、血圧値の変動量は、明け方（例えば６時）から日没（例えば１８時）の期間（日中）で平均値に対して高くなり、日没から明け方（夜間）で平均値に対して低くなる。 As shown in FIG. 14, when one day is the cycle of blood pressure fluctuation, the fluctuation amount of the blood pressure value fluctuates with respect to the average value (for example, “0”) according to time. More specifically, for example, the fluctuation amount of the blood pressure value is higher than the average value during the period (daytime) from dawn (for example, 6 o'clock) to sunset (for example, 18:00), and changes from sunset to dawn (at night). ) Lowers the average.
　なお、変動特性統計情報５２３には、図１３及び図１４に例示された変動特性及び変動量に限らず、図１３及び図１４の例と傾向と異なる任意の変動特性及び変動量が適用可能である。 Note that the fluctuation characteristic statistical information 523 is not limited to the fluctuation characteristics and fluctuation amounts illustrated in FIGS. 13 and 14, and any fluctuation characteristics and fluctuation amounts different from those in the examples of FIGS. 13 and 14 can be applied. is there.
　補正部５１４は、これらの複数の異なる周期に関する複数の変動特性統計情報５２３の各々に基づいて、血圧値を順次補正してもよい。 The correction unit 514 may sequentially correct the blood pressure value based on each of the plurality of fluctuation characteristic statistical information 523 regarding the plurality of different cycles.
　これにより、周期性を有する様々な血圧の変動要因を考慮することができ、被測定者の血圧値をより適正に処理することができる。 に よ り Thereby, various periodic fluctuation factors of blood pressure can be considered, and the blood pressure value of the subject can be more appropriately processed.
　３．２　第２変形例
　また、上記実施形態では、不特定多数の標本から得られる１つの変動特性統計情報５２３を全ての血圧情報に対して適用する場合について説明したが、これに限られない。例えば、記憶部５２は、標本をいくつかに分類することで得られる、周期の等しい複数の変動特性統計情報５２３を予め記憶してもよい。複数の変動特性統計情報５２３は、例えば、標本の血圧測定場所に基づいて分類されてもよい。この場合、解析部５１２は、例えば、位置情報に基づいて、複数の変動特性統計情報５２３のうちの１つを選定してもよい。 3.2 Second Modification In the above embodiment, a case has been described in which one variation characteristic statistical information 523 obtained from an unspecified number of samples is applied to all blood pressure information. However, the present invention is not limited to this. . For example, the storage unit 52 may store in advance a plurality of fluctuation characteristic statistical information 523 having the same cycle, which is obtained by classifying the sample into several. The plurality of fluctuation characteristic statistical information 523 may be classified based on, for example, the blood pressure measurement location of the sample. In this case, the analysis unit 512 may select one of the plurality of fluctuation characteristic statistical information 523 based on the position information, for example.
　図１５は、本実施形態の第２変形例に係る複数の変動特性統計情報５２３を例示するダイアグラムである。図１５の例では、２つの変動特性統計情報５２３がそれぞれ、同一の変動周期を有し、かつ変動量の異なる変動曲線Ｌ３０及びＬ３１として示される。具体的には、変動曲線Ｌ３０は、変動曲線Ｌ３１よりも変動量が小さい。 FIG. 15 is a diagram illustrating a plurality of fluctuation characteristic statistical information 523 according to a second modification of the present embodiment. In the example of FIG. 15, two pieces of fluctuation characteristic statistical information 523 are shown as fluctuation curves L30 and L31 having the same fluctuation period and different fluctuation amounts. Specifically, the fluctuation amount of the fluctuation curve L30 is smaller than the fluctuation amount of the fluctuation curve L31.
　このような変動曲線Ｌ３０及びＬ３１はそれぞれ、例えば、標本を低緯度帯（赤道帯）及び中緯度帯に分類され得る。すなわち、１年間の血圧の周期的変動を引き起こす原因の１つとして、地球の公転によって生じる季節の変化が考えられる。具体的には、低緯度帯に分類される標本は、中緯度帯に分類される標本よりも季節の変化が緩やかなため、血圧値の変動量がより緩やかになり得る。このように、血圧値の測定場所（緯度及び経度）に応じて、異なる変動曲線Ｌ３０及びＬ３１が生成され得る。なお、上述の分類の仕方は一例であり、測定場所に応じて任意に分類することが可能である。 変 動 The variation curves L30 and L31 can be classified into, for example, low-latitude (equatorial) and middle-latitude bands. That is, one of the causes of the periodic fluctuation of blood pressure for one year is a seasonal change caused by the revolution of the earth. Specifically, since the change in the season is more gradual in the sample classified into the low latitude band than in the sample classified into the middle latitude band, the fluctuation amount of the blood pressure value may be more gradual. In this way, different variation curves L30 and L31 can be generated according to the blood pressure value measurement location (latitude and longitude). Note that the above classification method is an example, and the classification can be arbitrarily performed according to the measurement place.
　図１６は、本実施形態の第２変形例に係る血圧処理装置５０の機能構成を例示するブロック図である。図１６に示すように、解析部５１２は、選定部５１６を更に備えている。 FIG. 16 is a block diagram illustrating a functional configuration of a blood pressure processing device 50 according to a second modification of the present embodiment. As shown in FIG. 16, the analysis unit 512 further includes a selection unit 516.
　選定部５１６は、取得部５１１から血圧情報及び位置情報を受けると、当該位置情報に基づき、どの変動特性統計情報５２３を用いて血圧情報を評価するかを選定する。変動特性統計情報５２３の選定には、例えば、位置情報内の緯度及び経度等を用いることができる。選定部５１６は、どの変動特性統計情報５２３が選定されたかを示す選定情報を補正部５１４に送出する。 When the selection unit 516 receives the blood pressure information and the position information from the acquisition unit 511, the selection unit 516 selects which variation characteristic statistical information 523 is used to evaluate the blood pressure information based on the position information. The selection of the fluctuation characteristic statistical information 523 can use, for example, latitude and longitude in the position information. The selection unit 516 sends selection information indicating which variation characteristic statistical information 523 is selected to the correction unit 514.
　補正部５１４は、選定情報を受けると、当該選定情報によって選定された変動特性統計情報５２３に基づいて、補正情報を生成する。 Upon receiving the selection information, the correction unit 514 generates correction information based on the fluctuation characteristic statistical information 523 selected by the selection information.
　図１７は、本実施形態の第２変形例に係る血圧処理装置５０における血圧解析処理の手順の一例を模式的に示すフローチャートである。 FIG. 17 is a flowchart schematically illustrating an example of a procedure of a blood pressure analysis process in the blood pressure processing device 50 according to the second modification of the present embodiment.
　（ステップＳＴ１０ａ）
　まず、ステップＳＴ１０ａでは、制御部５１は、記憶部５２に複数の変動特性統計情報５２３を記憶させる。当該複数の変動特性統計情報５２３の各々は、同じ範囲の測定場所で分類された標本によって生成されたものである。 (Step ST10a)
First, in step ST10a, the control unit 51 causes the storage unit 52 to store a plurality of fluctuation characteristic statistical information 523. Each of the plurality of fluctuation characteristic statistical information 523 is generated by a sample classified in the same range of measurement locations.
　（ステップＳＴ２０ａ）
　ステップＳＴ２０ａでは、制御部５１は、通信部５３を取得部５１１として機能させ、携帯端末３０を介して、血圧測定装置１０で測定された血圧情報及び携帯端末３０で測定された位置情報を取得する。 (Step ST20a)
In step ST20a, the control unit 51 causes the communication unit 53 to function as the acquisition unit 511, and acquires, via the mobile terminal 30, blood pressure information measured by the blood pressure measurement device 10 and position information measured by the mobile terminal 30. .
　（ステップＳＴ２５ａ）
　ステップＳＴ２５ａでは、制御部５１は、選定部５１６として機能し、位置情報に基づき、血圧情報の評価に用いる変動特性統計情報５２３を選定し、選定情報を生成する。 (Step ST25a)
In step ST25a, the control unit 51 functions as the selection unit 516, selects the fluctuation characteristic statistical information 523 used for the evaluation of the blood pressure information based on the position information, and generates the selection information.
　（ステップＳＴ３０ａ）
　ステップＳＴ３０ａでは、制御部５１は、補正部５１４として機能し、選定された変動特性統計情報５２３に基づき、補正情報を生成する。 (Step ST30a)
In step ST30a, the control unit 51 functions as the correction unit 514, and generates correction information based on the selected fluctuation characteristic statistical information 523.
　（ステップＳＴ４０）
　ステップＳＴ４０における制御部５１の動作は、本実施形態と同様であるため、その説明を省略する。 (Step ST40)
The operation of the control unit 51 in step ST40 is the same as that of the present embodiment, and thus the description thereof will be omitted.
　このように、測定場所によって分類された複数の変動特性統計情報５２３を用いることにより、血圧値の周期的な変動をより正確に補正することができる。また、複数の変動特性統計情報５２３が記憶されている場合においても、携帯端末３０によって生成された位置情報を利用することによって、適切な変動特性統計情報５２３を選定することができる。 As described above, by using the plurality of fluctuation characteristic statistical information 523 classified according to the measurement place, the periodic fluctuation of the blood pressure value can be corrected more accurately. Even when a plurality of pieces of variation characteristic statistical information 523 are stored, appropriate variation characteristic statistical information 523 can be selected by using the position information generated by the mobile terminal 30.
　３．３　第３変形例
　また、上記第２変形例では、複数の変動特性統計情報５２３が位置情報に対応付けられる場合について説明したが、これに限られない。例えば、複数の変動特性統計情報５２３は、標本の年齢、性別、住所、肥満度、喫煙の有無等の属性情報に基づいて分類されてもよい。この場合、解析部５１２は、例えば、被測定者情報５２２に基づいて、複数の変動特性統計情報５２３のうちの１つを選定してもよい。 3.3 Third Modified Example In the second modified example, a case has been described in which a plurality of fluctuation characteristic statistical information 523 is associated with position information. However, the present invention is not limited to this. For example, the plurality of fluctuation characteristic statistical information 523 may be classified based on attribute information such as the age, gender, address, obesity degree, and smoking status of the sample. In this case, the analysis unit 512 may select one of the plurality of variation characteristic statistical information 523 based on the subject information 522, for example.
　具体的には、被測定者情報５２２内の住所は、上記第２変形例における位置情報に代えて、血圧値の測定場所として利用することができる。すなわち、複数の変動特性統計情報５２３は、被測定者情報５２２内の住所と対応付けることができる。 Specifically, the address in the subject information 522 can be used as a blood pressure measurement location instead of the position information in the second modification. That is, the plurality of fluctuation characteristic statistical information 523 can be associated with the address in the subject information 522.
　また、血圧値の変動量は、被測定者の年齢、性別、肥満度、及び喫煙の有無等に応じて独特に変化し得る。このため、被測定者の年齢、性別、肥満度、及び喫煙の有無等に応じて、図１５に示したような異なる変動曲線Ｌ３０及びＬ３１を生成することができ得る。 変 動 Furthermore, the fluctuation amount of the blood pressure value can be uniquely changed depending on the age, sex, obesity degree, smoking status, etc. of the subject. Therefore, different variation curves L30 and L31 as shown in FIG. 15 can be generated according to the age, gender, obesity degree, presence or absence of smoking, and the like of the subject.
　本実施形態の第３変形例に係る血圧処理装置５０の機能構成を一例について、再び図１６を用いて説明する。 An example of the functional configuration of the blood pressure processing device 50 according to the third modification of the present embodiment will be described again with reference to FIG.
　選定部５１６は、取得部５１１から血圧情報を受けると、当該血圧情報に対応する機器ＩＤを抽出する。選定部５１６は、被測定者情報５２２を読出し、当該機器ＩＤに対応する被測定者の属性情報を特定する。選定部５１６は、特定した属性情報に基づき、どの変動特性統計情報５２３を用いて血圧情報を評価するかを選定する。変動特性統計情報５２３の選定には、例えば、属性情報内の年齢、性別、住所、肥満度、又は喫煙の有無等を用いることができる。選定部５１６は、どの変動特性統計情報５２３が選定されたかを示す選定情報を補正部５１４に送出する。 When the selection unit 516 receives the blood pressure information from the acquisition unit 511, the selection unit 516 extracts the device ID corresponding to the blood pressure information. The selecting unit 516 reads the subject information 522 and specifies the attribute information of the subject corresponding to the device ID. The selection unit 516 selects, based on the specified attribute information, which variation characteristic statistical information 523 is to be used to evaluate the blood pressure information. In selecting the variation characteristic statistical information 523, for example, the age, gender, address, obesity degree, smoking presence / absence, and the like in the attribute information can be used. The selection unit 516 sends selection information indicating which variation characteristic statistical information 523 is selected to the correction unit 514.
　補正部５１４は、選定情報を受けると、当該選定情報によって選定された変動特性統計情報５２３に基づいて、補正情報を生成する。 Upon receiving the selection information, the correction unit 514 generates correction information based on the fluctuation characteristic statistical information 523 selected by the selection information.
　図１８は、本実施形態の第３変形例に係る血圧処理装置５０における血圧解析処理の手順の一例を模式的に示すフローチャートである。 FIG. 18 is a flowchart schematically illustrating an example of a procedure of a blood pressure analysis process in the blood pressure processing device 50 according to the third modification of the present embodiment.
　（ステップＳＴ１０ｂ）
　まず、ステップＳＴ１０ｂでは、制御部５１は、記憶部５２に複数の変動特性統計情報５２３、及び被測定者情報５２２を記憶させる。当該複数の変動特性統計情報５２３の各々は、同じ範囲年齢、住所若しくは肥満度、又は同じ性別若しくは喫煙の有無で分類された標本によって生成されたものである。 (Step ST10b)
First, in step ST10b, the control unit 51 causes the storage unit 52 to store the plurality of fluctuation characteristic statistical information 523 and the subject information 522. Each of the plurality of variation characteristic statistical information 523 is generated by a sample classified based on the same range of age, address, or obesity degree, or the same sex or smoking.
　（ステップＳＴ２０）
　ステップＳＴ２０における制御部５１の動作は、本実施形態と同様であるため、その説明を省略する。 (Step ST20)
The operation of the control unit 51 in step ST20 is the same as that of the present embodiment, and a description thereof will be omitted.
　（ステップＳＴ２５ｂ）
　ステップＳＴ２５ｂでは、制御部５１は、選定部５１６として機能し、被測定者情報５２２に基づき、血圧情報の評価に用いる変動特性統計情報５２３を選定し、選定情報を生成する。 (Step ST25b)
In step ST25b, the control unit 51 functions as the selection unit 516, selects fluctuation characteristic statistical information 523 used for evaluating blood pressure information based on the subject information 522, and generates selection information.
　（ステップＳＴ３０ｂ）
　ステップＳＴ３０ｂでは、制御部５１は、補正部５１４として機能し、選定された変動特性統計情報５２３に基づき、補正情報を生成する。 (Step ST30b)
In step ST30b, the control unit 51 functions as the correction unit 514, and generates correction information based on the selected fluctuation characteristic statistical information 523.
　（ステップＳＴ４０）
　ステップＳＴ４０における制御部５１の動作は、本実施形態と同様であるため、その説明を省略する。 (Step ST40)
The operation of the control unit 51 in step ST40 is the same as that of the present embodiment, and thus the description thereof will be omitted.
　このように、年齢、性別、住所、肥満度、又は喫煙の有無等によって分類された複数の変動特性統計情報５２３を用いることにより、血圧値の周期的な変動をより正確に補正することができる。また、複数の変動特性統計情報５２３が記憶されている場合においても、血圧処理装置５０に記憶された被測定者情報５２２を利用することによって、適切な変動特性統計情報５２３を選定することができる。 As described above, by using the plurality of fluctuation characteristic statistical information 523 classified according to age, gender, address, obesity degree, smoking status, and the like, it is possible to more accurately correct the periodic fluctuation of the blood pressure value. . Further, even when a plurality of pieces of variation characteristic statistical information 523 are stored, appropriate variation characteristic statistical information 523 can be selected by using the subject information 522 stored in the blood pressure processing device 50. .
　３．４　第４変形例
　また、上記実施形態では、解析情報の生成に用いられる血圧情報は、変動特性統計情報５２３の推定には用いられない場合について説明したが、これに限られない。例えば、変動特性統計情報５２３は、最新の血圧情報によって更新されてもよい。 3.4 Fourth Modification In the above-described embodiment, a case has been described in which the blood pressure information used for generating the analysis information is not used for estimating the fluctuation characteristic statistical information 523. However, the present invention is not limited to this. For example, the fluctuation characteristic statistical information 523 may be updated with the latest blood pressure information.
　図１９は、本実施形態の第４変形例に係る血圧処理装置５０の機能構成を例示するブロック図である。図１９に示すように、血圧処理装置５０は、更新部５１７を更に備えている。 FIG. 19 is a block diagram illustrating a functional configuration of a blood pressure processing device 50 according to a fourth modification of the present embodiment. As shown in FIG. 19, the blood pressure processing device 50 further includes an updating unit 517.
　更新部５１７は、取得部５１１から同一の被測定者からの複数の血圧情報を受けると、当該複数の血圧情報から、当該被測定者の血圧値の変動特性を推定する。当該推定は、期間内の部分的な範囲について行われてもよい。更新部５１７は、変動特性統計情報５２３を読出し、推定された変動特性を変動特性統計情報５２３に適用することによって、変動特性統計情報５２３を更新する。 When the update unit 517 receives a plurality of pieces of blood pressure information from the same subject from the acquisition unit 511, the updating unit 517 estimates the fluctuation characteristics of the blood pressure value of the subject from the plurality of pieces of blood pressure information. The estimation may be performed for a partial range within the period. The updating unit 517 updates the fluctuation characteristic statistical information 523 by reading the fluctuation characteristic statistical information 523 and applying the estimated fluctuation characteristic to the fluctuation characteristic statistical information 523.
　これにより、不特定の被測定者の変動特性を示す変動特性統計情報５２３に、被測定者から直接得られる最新の血圧情報を反映することができる。このため、変動特性統計情報５２３の変動特性と一致しない変動特性を有する特定の被測定者についても、測定時期による血圧値の変動をより正確に予測し、補正することができる。 Thereby, the latest blood pressure information directly obtained from the subject can be reflected in the variation characteristic statistical information 523 indicating the variation characteristics of the unspecified subject. Therefore, even for a specific subject having a fluctuation characteristic that does not match the fluctuation characteristic of the fluctuation characteristic statistical information 523, the fluctuation of the blood pressure value due to the measurement timing can be more accurately predicted and corrected.
　３．５　第５変形例
　また、上記実施形態では、血圧処理装置５０及び血圧評価装置７０は、異なるサーバ装置に構成されるものとして説明したが、これに限られない。例えば、血圧処理装置５０及び血圧評価装置７０内の各機能構成は、１つのサーバ装置内に構成されていてもよい。この場合、補正部５１４による補正の対象は、血圧値に限定されなくてもよい。例えば、補正部５１４は、血圧情報内の測定時期に応じて、評価基準情報７２３を補正することによって、補正情報を生成してもよい。 3.5 Fifth Modified Example In the above-described embodiment, the blood pressure processing device 50 and the blood pressure evaluation device 70 have been described as being configured in different server devices, but are not limited thereto. For example, each functional configuration in the blood pressure processing device 50 and the blood pressure evaluation device 70 may be configured in one server device. In this case, the correction target by the correction unit 514 need not be limited to the blood pressure value. For example, the correction unit 514 may generate the correction information by correcting the evaluation criterion information 723 according to the measurement timing in the blood pressure information.
　図２０は、本実施形態の第５変形例に係る評価基準情報７２３を例示するダイアグラムである。図２０の例では、異なる被測定者から、血圧情報Ｐ４１及びＰ４２がそれぞれ取得された場合が示される。血圧情報Ｐ４１及びＰ４２の血圧値はいずれも、測定時期によらない閾値Ｐｓを下回っている。このような場合、補正部５１４は、例えば、閾値Ｐｓを、血圧情報内の測定日時に応じて変動させてもよい。つまり補正部５１４は、閾値Ｐｓに基づき、補正済み閾値Ｌ４０に示されるような補正情報を生成してもよい。なお、補正済み閾値Ｌ４０は、例えば、図６において示される変動特性統計情報５２３と相関する形状を有していることが望ましい。 FIG. 20 is a diagram illustrating the evaluation criterion information 723 according to the fifth modified example of the present embodiment. The example of FIG. 20 illustrates a case where the blood pressure information P41 and P42 are obtained from different subjects. Both the blood pressure values of the blood pressure information P41 and P42 are below the threshold value Ps that does not depend on the measurement timing. In such a case, for example, the correction unit 514 may change the threshold value Ps according to the measurement date and time in the blood pressure information. That is, the correction unit 514 may generate correction information as indicated by the corrected threshold L40 based on the threshold Ps. It is desirable that the corrected threshold value L40 has, for example, a shape correlated with the fluctuation characteristic statistical information 523 shown in FIG.
　これにより、血圧情報Ｐ４１の血圧値が補正済み閾値Ｌ４０を下回るのに対し、血圧情報Ｐ４２の血圧値が補正済み閾値Ｌ４０を上回ることが分かる。したがって、解析情報生成部５１５は、血圧情報Ｐ４１及びＰ４２のリスクが異なると評価することができる。 Thus, while the blood pressure value of the blood pressure information P41 falls below the corrected threshold L40, the blood pressure value of the blood pressure information P42 exceeds the corrected threshold L40. Therefore, the analysis information generation unit 515 can evaluate that the risks of the blood pressure information P41 and P42 are different.
　３．６　その他
　また、上記実施形態では、補正済み血圧値が周期的に変動する血圧値の平均値となる場合について説明したが、これに限られない。例えば、補正済み血圧値は、周期的に変動する血圧値の最大値、最小値、最頻値、及びその他の任意の値が適用可能である。 3.6 Others Further, in the above-described embodiment, the case where the corrected blood pressure value is the average value of the blood pressure values that fluctuate periodically has been described, but the present invention is not limited to this. For example, as the corrected blood pressure value, a maximum value, a minimum value, a mode value, and any other value of the periodically varying blood pressure value can be applied.
　また、上記実施形態では、血圧処理装置５０内の各機能構成は、携帯端末３０にネットワークＮＷを介して接続されたサーバ装置内に含まれるものとして説明したが、これに限られない。例えば、血圧処理装置５０内の各機能構成は、血圧測定装置１０、及び携帯端末３０内に含まれてもよい。 In the above embodiment, each functional configuration in the blood pressure processing device 50 is described as being included in the server device connected to the mobile terminal 30 via the network NW, but is not limited thereto. For example, each functional configuration in the blood pressure processing device 50 may be included in the blood pressure measurement device 10 and the mobile terminal 30.
　また、上記実施形態では、血圧測定装置１０は、被測定者が装着可能な装置であるものとして説明したが、これに限られない。例えば、血圧測定装置１０は、据え置き型の装置であってもよい。 In the above embodiment, the blood pressure measurement device 10 has been described as a device that can be worn by a subject, but is not limited to this. For example, the blood pressure measurement device 10 may be a stationary device.
　更に、上記実施形態では生体情報として血圧値を取り扱った場合を例にとって説明したが、これに限られない。他に例えば、脈拍や体温、血糖値、心電等のその他の生体情報のうち、時期（年、月、日）の影響を受ける可能性がある生体情報に対し、本発明を適用してもよい。 Further, in the above-described embodiment, the case where the blood pressure value is handled as the biological information has been described as an example. In addition, for example, the present invention may be 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.
　なお、本発明は、上記実施形態に限定されるものではなく、実施段階ではその要旨を逸脱しない範囲で種々に変形することが可能である。また、各実施形態は適宜組み合わせて実施してもよく、その場合組み合わせた効果が得られる。更に、上記実施形態には種々の発明が含まれており、開示される複数の構成要件から選択された組み合わせにより種々の発明が抽出され得る。例えば、実施形態に示される全構成要件からいくつかの構成要件が削除されても、課題が解決でき、効果が得られる場合には、この構成要件が削除された構成が発明として抽出され得る。 The present invention is not limited to the above-described embodiment, and can be variously modified in an implementation stage without departing from the scope of the invention. In addition, the embodiments may be appropriately combined and implemented, and in such a case, the combined effects can be obtained. Further, the above-described embodiment includes various inventions, and various inventions can be extracted by combinations selected from a plurality of disclosed constituent features. For example, even if some components are deleted from all the components shown in the embodiment, if the problem can be solved and an effect can be obtained, a configuration from which the components are deleted can be extracted as an invention.
　上記実施形態の一部又は全部は、以下の付記のようにも記載され得るが、以下には限られるものではない。 一部 A part or all of the above-described embodiment can be described as in the following supplementary notes, but is not limited thereto.
　（付記１）
　不特定の少なくとも１人の被測定者の、複数の時期を含む単位期間における生体情報の変動特性の統計情報を記憶する記憶装置と、
　特定の被測定者の生体情報を、当該生体情報の測定時期を表す情報と共に取得する取得部と、
　前記取得された特定の被測定者の生体情報を、当該生体情報と共に取得した測定時期を表す情報と、前記記憶装置に記憶された前記変動特性の統計情報と、に基づいて補正する補正部と、
　を備える、生体情報処理装置。 (Appendix 1)
A storage device for storing statistical information of variation characteristics of biological information in a unit period including a plurality of periods of at least one unspecified subject;
Acquisition unit that acquires the biological information of the specific subject, together with information indicating the measurement time of the biological information,
The acquired biological information of the specific subject, information representing the measurement time acquired together with the biological information, and the statistical information of the fluctuation characteristics stored in the storage device, a correction unit that corrects based on ,
A biological information processing apparatus comprising:
　（付記２）
　不特定の少なくとも１人の被測定者の、複数の時期を含む単位期間における生体情報の変動特性の統計情報を記憶する記憶装置を備える装置が実行する生体情報処理方法であって、
　特定の被測定者の生体情報を、当該生体情報の測定時期を表す情報と共に取得する過程と、
　前記取得された特定の被測定者の生体情報を、当該生体情報と共に取得した測定時期を表す情報と、前記記憶装置に記憶された前記変動特性の統計情報と、に基づいて補正する過程と、
　を備える、生体情報処理方法。 (Appendix 2)
A biological information processing method executed by an apparatus including a storage device that stores statistical information of a variation characteristic of biological information in a unit period including a plurality of periods of at least one unspecified subject,
The process of acquiring the biological information of the specific subject, together with information indicating the measurement time of the biological information,
The acquired biological information of the specific subject, information representing the measurement time acquired together with the biological information, and the statistical information of the fluctuation characteristics stored in the storage device, a process of correcting based on,
A biological information processing method comprising:
　１…記憶部、
　２…取得部、
　３…補正部、
　４…生成部、
　１０…血圧測定装置、
　３０…携帯端末、
　５０…血圧処理装置、
　７０…血圧評価装置、
　１１，３１，５１，７１…制御部、
　１２，３２，５２，７２…記憶部、
　１３，３３，５３，７３…通信部、
　１４、３４…操作部、
　１５、３５…表示部、
　１６…血圧センサ、
　１７…加速度センサ、
　１８…温湿度センサ、
　３６…ＧＰＳ受信機、
　５４，７４…ドライブ、
　５５，７５…記憶媒体、
　５１１…取得部、
　５１２…解析部、
　５１３…出力部、
　５１４…補正部、
　５１５…解析情報生成部、
　５１６…選定部、
　５１７…更新部、
　５２１…血圧処理プログラム、
　７２１…血圧評価プログラム、
　５２２，７２２…被測定者情報、
　５２３…変動特性統計情報、
　７２３…評価基準情報。 1 ... storage unit,
2. Acquisition unit,
3. Correction unit
4 ... generating unit,
10. Blood pressure measuring device,
30 ... portable terminal,
50: blood pressure processing device,
70 ... blood pressure evaluation device,
11, 31, 51, 71 ... control unit,
12, 32, 52, 72 ... storage unit,
13, 33, 53, 73 ... communication unit,
14, 34 ... operation unit,
15, 35 ... display unit,
16 ... blood pressure sensor,
17 ... acceleration sensor,
18. Temperature and humidity sensor,
36 ... GPS receiver,
54, 74 ... drive,
55, 75 ... storage medium,
511: Acquisition unit,
512: analysis unit,
513 ... output unit,
514: correction unit,
515: Analysis information generation unit
516: Selection section,
517: Update unit,
521: blood pressure processing program,
721: blood pressure evaluation program,
522, 722 ... subject information,
523: fluctuation characteristic statistical information,
723 ... Evaluation reference information.

Claims (12)

  1. 　不特定の少なくとも１人の被測定者の、複数の時期を含む単位期間における生体情報の変動特性の統計情報を記憶する記憶装置と、
    　特定の被測定者の生体情報を、当該生体情報の測定時期を表す情報と共に取得する取得部と、
    　前記取得された特定の被測定者の生体情報を、当該生体情報と共に取得した測定時期を表す情報と、前記記憶装置に記憶された前記変動特性の統計情報と、に基づいて補正する補正部と、
    　を備える、生体情報処理装置。     A storage device for storing statistical information of variation characteristics of biological information in a unit period including a plurality of periods of at least one unspecified subject;
    Acquisition unit that acquires the biological information of the specific subject, together with information indicating the measurement time of the biological information,
    The acquired biological information of the specific subject, information representing the measurement time acquired together with the biological information, and the statistical information of the fluctuation characteristics stored in the storage device, a correction unit that corrects based on ,
    A biological information processing apparatus comprising:
  2. 　前記補正部により補正された生体情報と、前記記憶装置に記憶された前記変動特性の統計情報とに基づいて、前記特定の被測定者の生体情報に関する解析情報を生成する生成部を、更に備える、請求項１に記載の生体情報処理装置。 A generation unit configured to generate analysis information on the biological information of the specific subject based on the biological information corrected by the correction unit and the statistical information of the variation characteristics stored in the storage device. The biological information processing apparatus according to claim 1.
  3. 　前記取得された特定の被測定者の生体情報に基づいて、前記記憶装置に記憶された前記変動特性の統計情報を更新する更新部を更に備える、請求項１記載の生体情報処理装置。 The biological information processing apparatus according to claim 1, further comprising: an update unit configured to update the statistical information of the variation characteristics stored in the storage device based on the acquired biological information of the specific subject.
  4. 　前記単位期間は、１年間、１週間、及び１日間のいずれかに設定される、請求項１記載の生体情報処理装置。 The biological information processing apparatus according to claim 1, wherein the unit period is set to one year, one week, or one day.
  5. 　前記統計情報は、第１の場所を反映した第１の変動特性の統計情報と、前記第１の場所と異なる第２の場所を反映した第２の変動特性の統計情報と、を含み、
    　前記取得部は、前記生体情報の測定場所を示す位置情報を更に取得し、
    　前記補正部は、前記取得された位置情報に基づいて、前記記憶装置に記憶された前記第１の変動特性の統計情報と、前記第２の変動特性の統計情報とのうち、前記測定場所に対応する統計情報を選定し、前記選定された統計情報に基づいて、前記取得された特定の被測定者の生体情報を補正する、
    　請求項１記載の生体情報処理装置。     The statistical information includes first variation characteristic statistical information reflecting a first location and second variation characteristic statistical information reflecting a second location different from the first location,
    The acquisition unit further acquires position information indicating a measurement place of the biological information,
    The correction unit, based on the acquired position information, the first variation characteristic statistical information stored in the storage device, the second variation characteristic statistical information, of the measurement location, Select the corresponding statistical information, based on the selected statistical information, to correct the acquired biological information of the specific subject,
    The biological information processing apparatus according to claim 1.
  6. 　前記測定場所を示す位置情報は、緯度又は経度を含む、請求項５記載の生体情報処理装置。 The biological information processing apparatus according to claim 5, wherein the position information indicating the measurement location includes a latitude or a longitude.
  7. 　前記統計情報は、不特定の第１の被測定者群に共通する属性情報が反映された第１の変動特性の統計情報と、不特定の第２の被測定者群に共通する属性情報が反映された第２の変動特性の統計情報と、を含み、
    　前記取得部は、前記特定の被測定者の属性情報を更に取得し、
    　前記補正部は、前記取得された属性情報に基づいて、前記記憶装置に記憶された前記第１の変動特性の統計情報と、前記第２の変動特性の統計情報のうち前記特定の被測定者の属性情報に対応する統計情報を選定し、前記選定された統計情報に基づいて、前記取得された特定の被測定者の生体情報を補正する、
    　請求項１記載の生体情報処理装置。     The statistical information includes statistical information of the first variation characteristic in which attribute information common to the unspecified first subject group is reflected and attribute information common to the unspecified second subject group. And the statistical information of the reflected second variation characteristic.
    The obtaining unit further obtains the attribute information of the specific subject,
    The correction unit may be configured to determine, based on the acquired attribute information, the specific subject among the statistical information of the first variation characteristic and the statistical information of the second variation characteristic stored in the storage device. The statistical information corresponding to the attribute information is selected, and based on the selected statistical information, the acquired biological information of the specific subject is corrected,
    The biological information processing apparatus according to claim 1.
  8. 　前記属性情報は、前記被測定者の年齢、性別、住所、肥満度、又は喫煙の有無を含む、請求項７記載の生体情報処理装置。 The biological information processing apparatus according to claim 7, wherein the attribute information includes an age, a gender, an address, a degree of obesity, or smoking status of the subject.
  9. 　前記補正部により補正された生体情報に基づいて、前記特定の被測定者の健康状態に応じた評価情報を生成する評価部を更に備える、請求項１記載の生体情報処理装置。 The biological information processing apparatus according to claim 1, further comprising an evaluation unit configured to generate evaluation information corresponding to the health condition of the specific subject based on the biological information corrected by the correction unit.
  10. 　前記評価情報は、保険加入の可否を判定するための情報と、保険料又はリワードポイントを算定するための情報と、の少なくとも一方を含む、請求項９記載の生体情報処理装置。 The biometric information processing apparatus according to claim 9, wherein the evaluation information includes at least one of information for determining whether to join insurance and information for calculating an insurance premium or reward points.
  11. 　不特定の少なくとも１人の被測定者の、複数の時期を含む単位期間における生体情報の変動特性の統計情報を記憶する記憶装置を備える装置が実行する生体情報処理方法であって、
    　特定の被測定者の生体情報を、当該生体情報の測定時期を表す情報と共に取得する過程と、
    　前記取得された特定の被測定者の生体情報を、当該生体情報と共に取得した測定時期を表す情報と、前記記憶装置に記憶された前記変動特性の統計情報と、に基づいて補正する過程と、
    　を備える、生体情報処理方法。     A biological information processing method executed by an apparatus including a storage device that stores statistical information of a variation characteristic of biological information in a unit period including a plurality of periods of at least one unspecified subject,
    The process of acquiring the biological information of the specific subject, together with information indicating the measurement time of the biological information,
    The acquired biological information of the specific subject, information representing the measurement time acquired together with the biological information, and the statistical information of the fluctuation characteristics stored in the storage device, a process of correcting based on,
    A biological information processing method comprising:
  12. 　請求項１乃至１０のいずれか１項に記載の生体情報処理装置が備える各部としてコンピュータを機能させるためのプログラム。 A program for causing a computer to function as each section included in the biological information processing apparatus according to any one of claims 1 to 10.
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