WO2018021215A1 - Procédé d'identification de sujet de mesure, système d'identification de sujet de mesure, procédé de détermination d'état de mesure de pression artérielle, dispositif de détermination d'état de mesure de pression artérielle et programme de détermination d'état de mesure de pression artérielle - Google Patents

Procédé d'identification de sujet de mesure, système d'identification de sujet de mesure, procédé de détermination d'état de mesure de pression artérielle, dispositif de détermination d'état de mesure de pression artérielle et programme de détermination d'état de mesure de pression artérielle Download PDF

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Publication number
WO2018021215A1
WO2018021215A1 PCT/JP2017/026628 JP2017026628W WO2018021215A1 WO 2018021215 A1 WO2018021215 A1 WO 2018021215A1 JP 2017026628 W JP2017026628 W JP 2017026628W WO 2018021215 A1 WO2018021215 A1 WO 2018021215A1
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WIPO (PCT)
Prior art keywords
user
measurement
information
blood pressure
sphygmomanometer
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Application number
PCT/JP2017/026628
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English (en)
Japanese (ja)
Inventor
康平 田原
翔一 飯塚
高志 森本
智輝 小川
前田　茂則
伸浩 秋元
Original Assignee
パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from JP2017137633A external-priority patent/JP2018023768A/ja
Application filed by パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ filed Critical パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ
Priority to CN201780012645.9A priority Critical patent/CN108712881A/zh
Publication of WO2018021215A1 publication Critical patent/WO2018021215A1/fr
Priority to US16/185,214 priority patent/US20190076064A1/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
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • A61B5/1171—Identification of persons based on the shapes or appearances of their bodies or parts thereof
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination

Definitions

  • the present disclosure relates to a technique for identifying a person to be measured of a measuring device that measures biological information and a technique for determining a blood pressure measurement state.
  • risk subdivision insurance In the fields of medical insurance and life insurance, insurance that sells premiums according to the insured's health risk, called risk subdivision insurance, is sold. In risk-divided insurance, it is desirable to obtain biometric information on a regular basis in order to set appropriate insurance premiums and improve the health of the insured.
  • S Blood pressure meters, weight scales, body composition meters, active mass meters, and the like are widely used as devices for measuring biological information of the human body in general households.
  • these measurement devices are used for calculating insurance premiums, it is necessary to personally authenticate that the measurement target person (that is, the measured person) of the measured data is the insured person.
  • Patent Document 1 A technology that can be used as a means for giving personal authentication information to a measuring device that does not have a personal authentication function such as a sphygmomanometer or a weight scale has been proposed (see Patent Document 1).
  • Japanese Patent Application Laid-Open No. 2004-133867 discloses a technique for passing on personal authentication information by comparing position information of a measuring device having a personal authentication function and a measuring device to which personal authentication information is desired.
  • Patent Document 1 that inherits personal authentication information based on position information, when there are a plurality of users within a range in which personal authentication information can be inherited, each user can be identified. Have difficulty. Therefore, for example, when a man and woman living in the same house use a sphygmomanometer and at the same time a woman uses an activity meter, the measured value of the sphygmomanometer and the measured value of the activity meter are the same person. There arises a problem that personal authentication is performed as a measured value.
  • Patent Documents 2 and 3 there is the following second problem. That is, when measuring biological information at home using a home measuring device, it is difficult to ensure that the measured biological information is correct. On the other hand, if a person visits a medical institution to measure biological information, the burden on the person being measured is large. In addition, existing biological information measuring devices are premised on the use of the user for correct measurement, and it is difficult to prevent the user from performing illegal measurement intentionally. For example, in the technique for estimating the posture of the person to be measured using the angle sensor of Patent Document 2, the posture of the person to be measured other than the arm is unknown.
  • a measurement subject identification method for identifying the measurement subject in a measurement device that is connected to a network and measures the measurement subject's vital data, From the first measuring device capable of personally authenticating the user via the network, the first vital data measured in the first measuring device, and the personal identification information of the user personally authenticated by the first measuring device, And the first vital data includes measurement data of at least one measurement type, Second vital data measured by the second measuring device is received from a second measuring device different from the first measuring device via the network, and the second vital data is at least the first vital data.
  • a blood pressure measurement state determination method for determining a blood pressure measurement state using a determination device that is held by a user wearing a sphygmomanometer and determines a blood pressure measurement state The image data including the user's face is acquired by a camera provided in the determination device, First information indicating an inclination angle with respect to the gravity direction of the determination device is acquired by an angle sensor provided in the determination device, Obtaining second information indicating a position of the user's face in the image data and a proportion of the size of the user's face in the image data; Determining whether the angle indicated in the first information is within a first range; Determining whether the position of the user's face indicated in the second information is within a second range; Determining whether the proportion of the face size of the user indicated in the second information is within a third range; Determining whether the user is using the sphygmomanometer correctly; If it is determined that the user is using the sphy
  • personal authentication information can be inherited from a first measurement device capable of personal authentication to a second measurement device that does not have a personal authentication function.
  • the posture of the user can be estimated more accurately than the conventional posture estimation using only the angle sensor, and the accuracy of the measurement result is improved.
  • FIG. 1 is a block diagram schematically showing the configuration of the measurement subject specifying system of the first embodiment.
  • FIG. 2 is a diagram schematically showing an example of measurement data stored in the measurement value database.
  • FIG. 3 is a sequence diagram schematically showing an example of an authentication procedure using an ID and a password.
  • FIG. 4 is a diagram schematically illustrating an example of signal transmission / reception between the server and the measurement device and a display of the measurement device.
  • FIG. 5 is a sequence diagram schematically showing an example of a fingerprint authentication procedure.
  • FIG. 6 is a sequence diagram schematically showing an example of an authentication procedure using a face image.
  • FIG. 7 is a sequence diagram schematically showing an example of a procedure for inheriting personal authentication information.
  • FIG. 1 is a block diagram schematically showing the configuration of the measurement subject specifying system of the first embodiment.
  • FIG. 2 is a diagram schematically showing an example of measurement data stored in the measurement value database.
  • FIG. 3 is a sequence diagram schematically showing an example of an
  • FIG. 8 is a flowchart schematically showing an example of the operation procedure of the similarity verification unit of the server.
  • FIG. 9 is a diagram schematically showing an example different from FIG. 2 of the measurement data in the measurement value database.
  • FIG. 10 is a flowchart schematically showing an example of a procedure for detecting a pulse from a moving image.
  • FIG. 11 is a diagram illustrating an example of updating the measurement value database when the personal authentication information is inherited.
  • FIG. 12 is a sequence diagram of a procedure for notifying that it is handled as a personally authenticated device.
  • FIG. 13 is a diagram schematically illustrating a signal transmission / reception between the server and the measurement device and a display example of the measurement device.
  • FIG. 14 is a flowchart schematically showing another example of a procedure for assigning personal authentication information.
  • FIG. 15 is a sequence diagram schematically showing an operation when the measuring device that inherits the personal authentication information finishes the measurement of the biometric information.
  • FIG. 16 is a diagram schematically illustrating an example of authentication management information.
  • FIG. 17 is a sequence diagram schematically illustrating an example of a personal authentication information inheritance procedure according to the second embodiment.
  • FIG. 18 is a diagram illustrating a specific update example of the measurement value database according to the second embodiment.
  • FIG. 19 is a sequence diagram schematically illustrating an example of a procedure for giving personal authentication information according to the third embodiment.
  • FIG. 20 is a block diagram schematically illustrating a configuration example of the determination apparatus according to the fourth embodiment.
  • FIG. 20 is a block diagram schematically illustrating a configuration example of the determination apparatus according to the fourth embodiment.
  • FIG. 21 is a block diagram schematically showing a configuration example of a sphygmomanometer.
  • FIG. 22 is a diagram schematically showing a measurement state when the user uses a sphygmomanometer.
  • FIG. 23 is a diagram schematically illustrating an example of a screen displayed on the display unit before the measurement is started.
  • FIG. 24 is a flowchart schematically showing the operation of the determination apparatus in the fourth embodiment.
  • FIG. 25 is a diagram schematically illustrating an example of a screen displayed on the display unit during blood pressure measurement.
  • FIG. 26 is a diagram schematically illustrating an example of a screen displayed on the display unit during blood pressure measurement.
  • FIG. 27 is a diagram schematically illustrating an example of a screen displayed on the display unit during blood pressure measurement.
  • FIG. 21 is a block diagram schematically showing a configuration example of a sphygmomanometer.
  • FIG. 22 is a diagram schematically showing a measurement state when the user uses a sphy
  • FIG. 28 is a diagram schematically illustrating an example of a screen displayed on the display unit during blood pressure measurement.
  • FIG. 29 is a block diagram schematically illustrating a configuration example of the determination apparatus according to the fifth embodiment.
  • FIG. 30 is a diagram schematically showing a measurement state when the user uses a sphygmomanometer.
  • FIG. 31 is a diagram schematically showing an example of a screen displayed on the display unit before the start of measurement.
  • FIG. 32 is a flowchart schematically showing the operation of the determination apparatus of the fifth embodiment.
  • FIG. 33 is a diagram schematically illustrating an example of a screen displayed on the display unit during blood pressure measurement.
  • FIG. 34 is a diagram schematically showing an example of a screen displayed on the display unit during blood pressure measurement.
  • FIG. 35 is a diagram schematically illustrating an example of a screen displayed on the display unit during blood pressure measurement.
  • FIG. 36 is a block diagram schematically illustrating a configuration example of the determination apparatus according to the sixth embodiment.
  • FIG. 37 is a flowchart schematically showing the operation of the determination apparatus in the sixth embodiment.
  • FIG. 38 is a block diagram illustrating a configuration example of a system including a determination device and a server.
  • an activity meter is distributed from the insurance company to the insured person, the number of steps and the pulse of the insured person are measured, and the daily premium is reduced when the number of steps exceeds 10,000 steps.
  • the insured may transfer the activity meter distributed from the insurance company to a person other than the insured. In this case, if the insured does not walk 10,000 steps every day and the person whose activity meter has been transferred walks 10,000 steps every day, the insurance premium of the insured may be accidentally reduced. To do.
  • a blood pressure meter is distributed from an insurance company to an insured person, and an insured person whose systolic blood pressure is diagnosed as hypertension is 140 [mmHg] or more is in good health during the insurance enrollment period.
  • a medical insurance that reduces the insurance premium to be paid when the systolic blood pressure can be lowered to 129 [mmHg] or less, which is the range of normal blood pressure, by living a healthy life.
  • it is important to accurately measure the blood pressure value without falsehood.
  • many existing blood pressure monitors measure the blood pressure by raising the wrist or upper arm wearing a compression band (hereinafter also referred to as “cuff”) for measuring blood pressure to a place higher than the height of the heart. The value can be measured low. Therefore, there is a possibility that the insurance premium will be reduced for the insured who should not reduce the insurance premium.
  • the activity meter or sphygmomanometer distributed from the insurance company does not have a function for specifying that the person to be measured is an insured person. For this reason, a situation may occur in which a measurement value obtained by a person other than the insured person is mistakenly used for calculating the insurance premium. Therefore, in order to apply the measured biometric information to the calculation of the insurance premium, there is a problem that it is necessary to specify that the biometric information is measured by the insured.
  • Patent Document 1 As a personal authentication technique capable of solving such a problem, in Patent Document 1, personal authentication is performed on authentication information of a measurement device that has been personally authenticated by comparing position information of each measurement device among a plurality of measurement devices. There has been proposed a technique that allows a non-performed measuring device to be propagated and handled as a personally authenticated measuring device. As clearly described in Patent Document 1, it is difficult to determine whether or not the position information exactly matches among a plurality of measuring devices. For this reason, Patent Document 1 is configured so that personal authentication information can be propagated when the position information of each measuring device is within a predetermined range.
  • the sphygmomanometer and the activity meter inherit the personal authentication information. Is present within the range set as possible, the personal authentication information is inherited. However, just because the sphygmomanometer and the activity meter are within the range set to allow personal authentication information to be inherited, it is guaranteed that the measured persons of the two measuring devices are the same person. Can not. Regarding a means for ensuring that the measurement subject is the same person even if a plurality of measuring devices that want to inherit the personal authentication information are within a range in which the personal authentication information can be inherited. Has not been sufficiently studied in Japanese Patent Application Laid-Open No. H10-228707.
  • the first aspect of the present disclosure is: A measurement subject identification method for identifying the measurement subject in a measurement device that is connected to a network and measures the measurement subject's vital data, From the first measuring device capable of personally authenticating the user via the network, the first vital data measured in the first measuring device, and the personal identification information of the user personally authenticated by the first measuring device, And the first vital data includes measurement data of at least one measurement type, Second vital data measured by the second measuring device is received from a second measuring device different from the first measuring device via the network, and the second vital data is at least the first vital data.
  • the at least one measurement type may include at least one of blood pressure, number of steps, pulse rate, heart rate, electrocardiogram, respiration rate, weight, and sleep depth.
  • the received personal identification information is an individual using at least one of user identification information and a password, a user fingerprint, and a user face image by the first measurement device. It may be authenticated.
  • a command for displaying information indicating that a person who uses the second measurement device is specified as a user of the first measurement device may be used as the second measurement. You may transmit to an apparatus via the said network.
  • the person to be measured who uses the second measuring device is personally authenticated. You can know that it was inherited.
  • a third measured in the third measuring device from a third measuring device different from the first measuring device and the second measuring device via the network.
  • Vital data may be received.
  • the third vital data may include at least measurement data of a measurement type included in the second vital data.
  • You may calculate the 2nd value which shows the coincidence degree of each measurement data of the measurement type common to the 2nd vital data and the 3rd vital data. It may be determined whether or not the second value is larger than a predetermined second threshold value. When the second value is greater than the second threshold, the third vital data is specified as measurement data of a user of the first measuring device personally authenticated by the first measuring device, and the third vital data and
  • the personal identification information may be stored in a memory in association with the personal identification information.
  • the personal identification information of the user who is personally authenticated by the first measurement device is obtained by comparing the measurement data of the measurement type measured in common between the second measurement device and the third measurement device. It is possible to make the third measuring device succeed to the measuring device.
  • the second aspect of the present disclosure is: A measurement target identification system that identifies the measurement subject in a measurement device that is connected to a network and measures the vital data of the measurement subject, A first measurement device connected to the network and capable of personally authenticating a user and measuring first vital data of a measured person including measurement data of at least one measurement type; A second measuring device connected to the network and measuring second vital data including measurement data of at least a measurement type included in the first vital data of the measured person, unlike the first measuring device; A management device connected to the network; With The management device While receiving the first vital data measured in the first measurement device and the personal identification information of the user personally authenticated by the first measurement device from the first measurement device via the network.
  • a processing unit; Memory, Including The processor is A calculation unit that calculates a first value indicating a degree of coincidence between measurement data of measurement types common to each other included in the first vital data and the second vital data;
  • a management unit that stores the personal identification information in association with the memory; Is included.
  • the at least one measurement type may include at least one of blood pressure, number of steps, pulse rate, heart rate, electrocardiogram, respiration rate, weight, and sleep depth.
  • the height of the portion where the cuff is attached is estimated by attaching an angle sensor to the cuff of the wrist sphygmomanometer. Assuming that the upper arm is fixed in a natural posture, the height of the cuff is determined by the angle of the forearm, so it is possible to estimate the height of the cuff by detecting the angle of the forearm with an angle sensor. is there. Since the measurement result of the blood pressure depends on the height of the cuff, the reliability of the blood pressure measurement result can be improved by making the cuff height constant by this method.
  • Patent Documents 2 and 3 are based on the premise that the user uses a measuring device to measure a correct value. For this reason, it was easy to carry out the measurement by an intentionally incorrect measurement method and obtain an illegal measurement value.
  • the technique described in Patent Document 2 by changing the position of the upper arm, the actual height of the cuff attached to the wrist can be changed without changing the height of the cuff estimated by the sphygmomanometer. As a result, the blood pressure measurement value can be intentionally increased or decreased.
  • Patent Document 3 since the position and orientation of the camera cannot be fixed, posture estimation other than when sitting, such as a lying posture, is impossible. As a result, it is easy to perform intentionally incorrect measurements.
  • the third aspect of the present disclosure is: A blood pressure measurement state determination method for determining a blood pressure measurement state using a determination device that is held by a user wearing a sphygmomanometer and determines a blood pressure measurement state,
  • the image data including the user's face is acquired by a camera provided in the determination device,
  • First information indicating an inclination angle with respect to the gravity direction of the determination device is acquired by an angle sensor provided in the determination device,
  • the posture of the user is estimated more accurately than in the case of estimating the posture of the user using only the conventional angle sensor. And the accuracy of the measurement result is improved.
  • the correct use of the sphygmomanometer can be quantitatively expressed by the angle information of the determination device, the position of the face in the image data, and the proportion of the face in the image data. As a result, it is possible to easily instruct a countermeasure for the user to use it correctly.
  • sound around the determination device may be acquired. It may be determined whether or not the acquired sound matches the sound emitted from the sphygmomanometer stored in advance in the storage unit. In the determination as to whether or not the user is using the sphygmomanometer correctly, if it is determined that the acquired voice and the voice emitted by the sphygmomanometer stored in the storage unit match, the use It may be determined that the person is using the blood pressure monitor correctly.
  • the sphygmomanometer it is possible to confirm that measurement by the sphygmomanometer is being performed in the vicinity of the determination device by comparing the acquired voice with the voice emitted by the sphygmomanometer.
  • the reliability of determining whether or not the sphygmomanometer is correctly used is improved. For example, when it is recommended that a blood pressure meter be attached to the arm on the same side as the hand holding the determination device, the blood pressure meter is attached to the arm opposite to the hand holding the determination device. Unauthorized measurement can be prevented.
  • blood pressure measurement can be started without the user moving, so that the user can easily maintain the correct posture.
  • the accuracy of measurement can be improved and the burden on the user can be reduced.
  • the determination accuracy of the blood pressure measurement state can be improved by detecting this.
  • a first icon indicating a position where the determination device is held by one of the left hand and the right hand of the user, and the determination device is connected to the left hand of the user and You may display the 2nd icon which shows the position hold
  • the one hand of the user is touching the first icon, and the other hand of the user is When it is detected that the second icon is touched, it may be determined that the user is using the sphygmomanometer correctly.
  • the posture that the user can take can be limited by holding the determination device at a predetermined position with both hands of the user. As a result, it is possible to guide the user to use the sphygmomanometer correctly with a correct posture naturally.
  • the third aspect it may be determined whether or not the image data matches the image data of the user of the determination device stored in the storage unit in advance. In determining whether or not the user is using the blood pressure monitor correctly, it is further determined that the image data matches the image data of the user of the determination device stored in the storage unit. You may determine with the said user using the said blood pressure meter correctly.
  • a notification indicating that the user is using the sphygmomanometer correctly is provided. You may transmit to the server connected to the said determination apparatus.
  • a fourth aspect of the present disclosure includes: A blood pressure measurement state determination device that is held by a user wearing a sphygmomanometer and determines a blood pressure measurement state, A camera for acquiring image data including the user's face; An angle sensor for obtaining first information indicating an inclination angle with respect to a gravity direction of the determination device; A processing unit; A display unit, The processor is A face position determination unit that acquires second information indicating a position of the user's face in the image data and a ratio of the size of the user's face in the image data; It is determined whether or not the angle indicated in the first information is within a first range, and it is determined whether or not the position of the user's face indicated in the second information is within a second range.
  • a posture determination unit that determines whether or not the ratio of the size of the user's face indicated in the second information is within a third range; It is determined that the angle indicated in the first information is within the first range, and the position of the user's face indicated in the second information is determined to be within the second range; and If it is determined that the ratio of the size of the user's face indicated in the second information is within the third range, it is determined that the user is using the sphygmomanometer correctly.
  • a sex determination unit The display unit If it is determined that the user is using the sphygmomanometer correctly, a notification to the user indicating that the sphygmomanometer is being used correctly is displayed. When it is determined that the user is not using the sphygmomanometer correctly, a notification that prompts the user to use the sphygmomanometer correctly is displayed.
  • a fifth aspect of the present disclosure includes: A blood pressure measurement state determination program for determining a blood pressure measurement state using a determination device that is held by a user wearing a sphygmomanometer and that determines a blood pressure measurement state,
  • the blood pressure measurement state determination program for the computer of the determination device,
  • the image data including the user's face is acquired by a camera provided in the determination device,
  • First information indicating an inclination angle with respect to the gravity direction of the determination device is acquired by an angle sensor provided in the determination device,
  • these comprehensive or specific modes are a method for executing each characteristic configuration included in the above-described apparatus as a step, and also cause a computer to execute each characteristic configuration included in the above-described apparatus. It can also be realized as a computer program. Further, it may be realized by a computer-readable non-transitory recording medium such as a CD-ROM in which such a computer program is recorded, or may be distributed via a communication network such as the Internet, or a plurality of computers May be constructed and realized as a cloud computing system that operates in a distributed manner. Furthermore, the present invention may be realized by any combination of a system, a method, an integrated circuit, a computer program, and a recording medium.
  • FIG. 1 is a block diagram schematically showing the configuration of the measurement subject identification system in the first embodiment.
  • the subject identification system shown in FIG. 1 includes a server 101 and a plurality of measuring devices 102A, 102B, and 102C.
  • the server 101 and the plurality of measurement devices 102A, 102B, and 102C are connected via the network 100, respectively.
  • the server 101 inherits the personal authentication information among the plurality of measuring devices 102A, 102B, and 102C.
  • Each of the measuring devices 102A, 102B, and 102C measures the vital data of the measurement subject. Specific examples of vital data will be described later.
  • the server 101 (corresponding to an example of a management apparatus) includes a central processing unit (CPU) 107, a memory 108, a measurement value database 111, a personal authentication database 112, and an authentication management database 113.
  • the server 101 may be configured with a personal computer.
  • the memory 108 is composed of, for example, a semiconductor memory.
  • the memory 108 includes, for example, a read only memory (ROM), a random access memory (RAM), an electrically erasable / rewritable ROM (EEPROM), and the like.
  • the ROM of the memory 108 stores the control program of the present embodiment that causes the CPU 107 to operate.
  • the CPU 107 (corresponding to an example of a processing unit) operates according to the control program of the present embodiment stored in the memory 108, thereby functioning the communication processing unit 103, the determination unit 104, the device management unit 105, and the similarity verification unit 106. Have The function of each unit of the CPU 107 will be described later.
  • the server 101 may include other hardware that performs the same function instead of the CPU 107.
  • the measurement value database 111, the personal authentication database 112, and the authentication management database 113 are configured by a hard disk or a semiconductor memory. Data stored in the measurement value database 111, the personal authentication database 112, and the authentication management database 113 will be described later.
  • the measurement value database 111, the personal authentication database 112, and the authentication management database 113 may be configured with different media. Alternatively, the measurement value database 111, the personal authentication database 112, and the authentication management database 113 may be configured by a single medium with a separate storage area.
  • the communication processing unit 103 (corresponding to an example of a receiving unit) has a communication function for communicating with the measuring devices 102A, 102B, and 102C via the network 100.
  • the communication processing unit 103 receives measurement data transmitted from the measurement devices 102A, 102B, and 102C.
  • the communication processing unit 103 stores the received measurement data in the measurement value database 111.
  • FIG. 2 is a diagram schematically showing an example of measurement data 200 stored in the measurement value database 111 (corresponding to an example of a memory).
  • the measurement data 200 includes a measurement time column 201, a measurement device column 202, a measurement value column 203, a personal authentication information column 204, and a measurement location column 205.
  • the measurement device column 202 includes a measurement type column 211 and a device ID column 212.
  • the personal authentication information column 204 includes an authentication method column 213 and a personal ID column 214.
  • the measurement time column 201 the measurement time is recorded.
  • the measurement type column 211 of the measurement device column 202 the type of vital data is recorded.
  • the device ID column 212 of the measuring device column 202 authentication information (ID) that uniquely specifies the measuring devices 102A, 102B, and 102C is recorded.
  • the measured value column 203 measured values in the vital data are recorded.
  • the authentication method column 213 of the personal authentication information column 204 records the authentication method used for personal authentication of the measuring device when the corresponding measuring device is configured to be capable of personal authentication.
  • the personal ID field 214 of the personal authentication information field 204 authentication information (ID) that uniquely identifies the user of the measuring device is recorded.
  • the measurement location column 205 when the corresponding measurement device has a position information acquisition function, for example, a global positioning system (GPS) reception function, latitude and longitude indicating the position of the measurement device are recorded.
  • GPS global positioning system
  • the determination unit 104 receives information necessary for personal authentication from the measurement devices 102A, 102B, and 102C via the communication processing unit 103.
  • the determination unit 104 compares the received information with the information stored in the personal authentication database 112, and determines whether the information receiving measuring devices 102A, 102B, and 102C have been personally authenticated.
  • the determination unit 104 notifies the device management unit 105 of the determination result, and transmits it to the measurement devices 102A, 102B, and 102C via the communication processing unit 103.
  • the similarity verification unit 106 (corresponding to an example of a calculation unit and a determination unit) reads the measurement data 200 stored in the measurement value database 111 and calculates the feature amount from the measurement value for each ID in the device ID column 212 in a predetermined period. Are extracted respectively.
  • the similarity verification unit 106 calculates the similarity (corresponding to an example of a first value indicating the degree of coincidence) of the extracted feature amounts of each ID.
  • the similarity verification unit 106 determines that the unauthenticated device ID has been personally authenticated when the similarity calculated between the personally authenticated device ID and the unauthenticated device ID exceeds a predetermined first threshold. Then, the device management unit 105 is notified of the device ID having been personally authenticated.
  • the device management unit 105 (corresponding to an example of a management unit) receives information on whether or not the measurement devices 102A, 102B, and 102C have been personally authenticated from the determination unit 104 and the similarity verification unit 106.
  • the device management unit 105 updates the personal authentication information column 204 of the measurement value database 111 based on the received information.
  • the update of the personal authentication information to the measurement value database 111 of the device management unit 105 is specifically illustrated in the description of FIG.
  • the personal authentication database 112 is obtained by comparing the information necessary for personal authentication received from the measuring device 102A via the communication processing unit 103 with the data stored in the personal authentication database 112 by the determination unit 104. Data that can be specified is stored. Examples of personal authentication methods that can be used in the personal authentication database 112 include a personal authentication method using identification information (ID) and a password, a biometric personal authentication method using fingerprint information, and a biometric personal authentication method using face images.
  • ID identification information
  • password password
  • biometric personal authentication method using fingerprint information e.g., a biometric personal authentication method using fingerprint information
  • biometric personal authentication method using face images e.g., face images.
  • the personal authentication database 112 stores information for collating the ID and password.
  • the personal authentication database 112 stores feature amount information that can uniquely identify a person from fingerprint information.
  • the personal authentication database 112 stores a feature amount that can uniquely identify a person from the face image.
  • the personal authentication database 112 can include one or more types of personal authentication methods as personal authentication methods. Further, the personal authentication method provided in the personal authentication database 112 is not limited to the exemplified personal authentication method.
  • FIG. 3 is a sequence diagram schematically illustrating an example of an authentication procedure in the personal authentication method using an ID and a password in the determination unit 104.
  • the measuring device 102A is in a state where personal authentication is not performed and the device is locked.
  • the measuring device 102A accepts the ID and password input by the user in step S302.
  • the ID and password are transmitted from the measuring device 102A to the server 101.
  • the determination unit 104 of the server 101 compares the received ID and password with the personal authentication information registered in the personal authentication database 112 and determines whether they match.
  • the determination unit 104 notifies the device management unit 105 of the determination result.
  • step S305 is executed, and the device management unit 105 of the server 101 registers the measurement device 102A as a personally authenticated device in the measurement value database 111 and the authentication management database 113. To do.
  • step S305 is executed, in step S306, the device management unit 105 of the server 101 transmits a signal indicating completion of personal authentication to the measurement device 102A via the communication processing unit 103.
  • step S307 the locked state of the measuring device 102A is released.
  • step S305 is not executed, and the device management unit 105 of the server 101 passes the communication processing unit 103 through the personal authentication information. Are transmitted to the measuring device 102A.
  • the measuring device 102A transitions to the locked state in step S301, and again enters a state where the user is requested to input an ID and password.
  • FIG. 4 is a diagram schematically showing a signal transmission / reception between the server 101 and the measuring device 102A and a display example of the measuring device 102A when the processing shown in the sequence diagram of FIG. 3 is executed.
  • the user inputs a login ID in the ID input field 313 of the touch panel type display unit 102Ad of the measuring device 102A, inputs the password in the password input field 314, and taps the authentication button 315.
  • the ID and password are transmitted from the measuring device 102A to the server 101.
  • steps S304 and S305 are executed in the server 101
  • step S306 a signal indicating completion of personal authentication is transmitted from the server 101 to the measuring device 102A.
  • the measuring device 102A receives the completion of the personal authentication, the unlocked state 312 is entered, the personal authenticated device list is displayed on the display unit 102Ad of the measuring device 102A, and the measuring device 102A is displayed.
  • FIG. 5 is a sequence diagram schematically illustrating an example of an authentication procedure in the biometric personal authentication method using a fingerprint in the determination unit 104.
  • the measuring device 102A needs to have a fingerprint reading function.
  • the measuring device 102A does not have a fingerprint reading function, a biometric personal authentication method using a fingerprint cannot be performed, but it is not an essential requirement of the measuring device 102A to have a fingerprint reading function.
  • the measuring device 102A is in a state in which personal authentication is not performed and the device is locked in step S311.
  • the measuring device 102A accepts the fingerprint input by the user in step S312.
  • the fingerprint information of the user is transmitted from the measuring device 102A to the server 101.
  • the determination unit 104 of the server 101 compares the feature amount of the received fingerprint information with the personal authentication information registered in the personal authentication database 112, and determines whether or not they match.
  • the determination unit 104 notifies the device management unit 105 of the determination result.
  • step S315 is executed, and the device management unit 105 of the server 101 sets the measurement device 102A as a personally authenticated device and the measurement value database 111 and the authentication management database 113. Register with.
  • step S316 the device management unit 105 of the server 101 transmits a signal indicating completion of personal authentication to the measurement device 102A via the communication processing unit 103.
  • step S317 the measuring device 102A is unlocked.
  • step S315 is not executed, and the device management unit 105 of the server 101 passes the personal information through the communication processing unit 103.
  • a signal indicating that the authentication information does not match is transmitted to the measuring device 102A.
  • the measuring device 102A transitions to the lock state in step S311 and again enters a state where the user is requested to input a fingerprint.
  • FIG. 6 is a sequence diagram schematically illustrating an example of an authentication procedure in the biometric personal authentication method using a face image in the determination unit 104.
  • the measuring device 102A needs to include a camera.
  • the measuring device 102A does not include a camera, a biometric personal authentication method using a face image cannot be performed.
  • the measuring device 102A is in a state where the personal authentication is not performed in step S321 and the device is locked. In the locked state in step S321, the measuring device 102A prompts the user to take a face image of the user using the camera provided in the measuring device 102A in step S322. The measuring device 102A acquires the photographed face image of the user. In step S323, the face image of the user is transmitted from the measuring device 102A to the server 101. In step S324, the determination unit 104 of the server 101 compares the feature amount of the received face image with the personal authentication information registered in the personal authentication database 112, and determines whether or not they match. The determination unit 104 notifies the device management unit 105 of the determination result.
  • step S325 is executed, and the device management unit 105 of the server 101 sets the measurement device 102A as a personally authenticated device and the measurement value database 111 and the authentication management database 113. Register with.
  • step S325 is executed, in step S326, the device management unit 105 of the server 101 transmits a signal indicating completion of personal authentication to the measurement device 102A via the communication processing unit 103.
  • step S327 the measuring device 102A is unlocked.
  • step S325 is not executed, and the device management unit 105 of the server 101 passes the communication processing unit 103 through the personal processing information 103.
  • a signal indicating that the authentication information does not match is transmitted to the measuring device 102A.
  • the measuring device 102A transitions to the locked state in step S321, and again enters a state where the user is requested to take a face image.
  • the measurement device 102 ⁇ / b> A can transmit measurement data (vital data) representing biometric information to the server 101 as a personally authenticated device.
  • the data received by the server 101 from the measuring device 102A while the measuring device 102A is recognized as the personally authenticated device is in a state where the personal authentication information column 204 is recorded according to the format illustrated in FIG. Is stored in the server 101. That is, in the measurement data 200 accumulated in the server 101, as shown in FIG. 2, the authentication method column 213 of the personal authentication information column 204 records the authentication method of ID, password, fingerprint, and face image.
  • Identification information (ID) for uniquely identifying the user in the server 101 is recorded in the personal ID column 214 of the authentication information column 204.
  • FIG. 7 is a sequence diagram schematically showing an example of a procedure for inheriting personal authentication information.
  • the measuring device 102A (corresponding to an example of the first measuring device) includes one or more of a personal authentication function using an ID and a password, a biometric personal authentication function using a fingerprint, and a biometric personal authentication function using a face image. Has a kind of personal authentication function.
  • the measuring device 102B (corresponding to an example of a second measuring device) does not have a personal authentication function.
  • FIG. 7 when the measuring device 102A and the measuring device 102B transmit the biometric information measurement data to the server 101, a specific sequence for passing the personal authentication information of the measuring device 102A to the measuring device 102B is shown. Illustrated. Assume that the measuring device 102A having the personal authentication function is in the unlocked state in step S400.
  • the measuring device 102A When in the unlocked state in step S400, the measuring device 102A starts measuring one or more types of biological information of the user in step S401.
  • the measurement device 102A obtains measurement data (corresponding to an example of first vital data) of all biological information measured by the measurement device 102A.
  • the server 101 sends to server 101.
  • the server 101 records the received biometric information measurement data in the measurement value database 111 in the server 101 after recording the personal authentication information column 204.
  • step S404 the user starts measuring one or more types of biological information of the user using the measuring device 102B.
  • an operation necessary for the user to start measurement of biological information using the measurement device 102B is to turn on the measurement device 102B.
  • the user wears the measurement device 102B. It is conceivable that the user enters a possible range.
  • the type of operation is not limited as long as the measurement of the user's biological information is started using the measurement device 102B.
  • step S404 when measurement of the user's biological information is started using the measurement device 102B, the measurement data (corresponding to an example of second vital data) of the measured biological information is measured in step S405.
  • the server 101 stores the received biometric information measurement data in the measurement value database 111 in the server 101 without recording the personal authentication information column 204.
  • step S407 the similarity verification unit 106 of the server 101 calculates the similarity between the feature value of the measurement data of the measurement device 102A and the feature value of the measurement data of the measurement device 102B, which is stored in the measurement value database 111 of the server 101. calculate.
  • the similarity verification unit 106 uses measurement data having the same measurement type recorded in the measurement type column 211 (FIG. 2) of the measurement value database 111. Moreover, the similarity verification unit 106 uses measurement data acquired in the same time zone. That is, the similarity verification unit 106, for example, the measurement data of the measurement device 102A acquired during 1 minute from 12:00 to 12:01 and the measurement device 102B acquired during 1 minute from 12:00 to 12:01. Measurement data. Note that the similarity verification unit 106 is not limited to 1 minute, and may use measurement data acquired for 5 minutes from 12:00 to 12:05, for example. This time width may be set in advance for each measurement type, or may be stored in advance in association with the time width and the measurement type, for example, in the ROM of the memory 108.
  • step S408 the similarity verification unit 106 determines whether the similarity calculated in step S407 is equal to or greater than a predetermined first threshold value. If the similarity calculated in step S407 is determined to be greater than or equal to the predetermined threshold value in step S408, in step S409, the similarity verification unit 106 determines that the measurement device 102B that calculated the similarity in step S407 is the measurement device 102A.
  • the measurement data 200 stored in the measurement value database 111 of the server 101 is updated so as to clearly indicate that the personal authentication information is inherited. The updated measurement data 200 will be described later with reference to FIG.
  • FIG. 8 is a flowchart schematically showing an example of an operation procedure of the similarity verification unit 106 of the server 101 in the operation of FIG.
  • step S411 when the communication processing unit 103 starts to receive measurement data of biometric information from the measurement device 102A that has been personally authenticated, and starts to store the measurement data of biometric information received in the measurement value database 111 (step of FIG. 7). S403), the process of FIG. 8 is started.
  • step S ⁇ b> 412 the similarity verification unit 106 extracts data up to a predetermined time from the current time as a starting point based on the measurement time column 201 from the measurement data 200 accumulated in the measurement value database 111 of the server 101. .
  • step S413 the similarity verification unit 106 determines whether the data of the measuring device 102B exists in the data extracted in step S412. If the data of the measuring device 102B does not exist in the extracted data (NO in step S413), the process returns to step S412 and the similarity verification unit 106 repeats the data extraction.
  • step S414 the similarity verifying unit 106 uses the extracted data as the data of the measuring device 102A and the measuring device.
  • the data is separated into 102B data.
  • the similarity verification unit 106 extracts the feature amount of the measurement data from the measurement device 102A in step S415, and extracts the feature amount of the measurement data from the measurement device 102B in step S416.
  • A1 A method in which a value of measured data itself is a feature amount
  • A2) A method of performing Fourier transform on measured data and using frequency components as feature quantities
  • A3) A method in which data after applying a filter to the measured data is used as a feature amount
  • A4) A method of performing principal component analysis on the measured data and using the acquired principal component as a feature amount
  • A5) A method in which one or a plurality of types of the above-exemplified methods are combined as a feature amount
  • the feature amount extraction method is not limited to the exemplified one.
  • step S417 the similarity verification unit 106 calculates the similarity between the feature amount of the measurement data from the measurement device 102A and the feature amount of the measurement data from the measurement device 102A.
  • B1 A method in which the ratio of the feature quantity of the measurement device 102A to the feature quantity of the measurement device 102B is a similarity
  • B2) A method in which the matching rate of each feature quantity is a similarity
  • B3) A method in which the correlation coefficient of each feature amount is used as a similarity
  • B4 A method in which the Pearson correlation of each feature quantity is used as a similarity
  • B5 A method of calculating the similarity from the error ratio of each feature amount
  • B6 One or more types of similarity calculation methods exemplified above, and a combination of them as a similarity, However, the similarity calculation method is not limited to the illustrated method.
  • the types of measurement data that can be used to calculate similarity are blood pressure, number of steps, pulse rate, heart rate, electrocardiogram, body weight, respiratory rate, sleep depth, and so on. Although it can be handled as possible measurement data, the type of measurement data for which the similarity can be calculated is not limited to the exemplified type.
  • the predetermined first threshold may be determined in advance according to the type of similarity calculated and stored in the memory 108.
  • step S4108 the similarity verification unit 106 determines whether the similarity calculated in step S417 is equal to or greater than a predetermined first threshold value. If the similarity is less than the predetermined first threshold value (NO in step S418), the process returns to step S412 and the similarity verification unit 106 resumes the process from data extraction.
  • step 418 when a set of measuring devices whose similarity is equal to or greater than the predetermined first threshold is uniquely identified (YES in step S418), the similarity verification unit 106 updates the measurement value database 111 in step S419. To do. An example of the update will be described later with reference to FIG.
  • step S420 the device management unit 105 registers, in the authentication management database 113 of the server 101, the device ID, time, and the like of the measurement device 102B that the measurement device 102B is a personally authenticated device at the current time in step S412. To do.
  • the contents registered in the authentication management database 113 will be described later with reference to FIG.
  • step S420 the process returns to step S412 and the similarity verification unit 106 resumes the process from the data extraction.
  • step S4108 a case will be described in which a plurality of measuring devices whose similarity is equal to or greater than a threshold value are not uniquely identified and are found.
  • FIG. 9 is a diagram schematically showing an example different from FIG. 2 of the measurement data 200 stored in the measurement value database 111.
  • the similarity between the feature value of “pulse” measured by “blood pressure monitor 0002” and the feature value of “pulse” measured by “smartphone 0001” of “user A” is equal to or greater than a threshold value.
  • the similarity between the feature value of “pulse” measured by “blood pressure meter 0002” and the feature value of “pulse” measured by “smartphone 0002” of “user B” may be a threshold value or more. possible.
  • the similarity verification unit 106 compares the measurement location column 205 of the measurement value database 111.
  • the latitude and longitude recorded in the measurement location column 205 corresponding to “blood pressure meter 0002” and the latitude and longitude recorded in the measurement location column 205 corresponding to “smart phone 0001” match.
  • the similarity verification unit 106 uniquely identifies a set of measurement devices whose similarity is equal to or greater than a threshold value by verifying that the measurement is performed within a predetermined range.
  • a pulse rate acquisition method when the measuring device 102A includes a camera, there is a method of acquiring a pulse rate by analyzing dye information on the body surface from a moving image including a face in time series.
  • a pulse rate acquisition method when the measuring device 102A includes a camera, there is a method of acquiring a pulse rate by analyzing dye information on the body surface from a moving image including a face in time series.
  • FIG. 10 is a flowchart schematically illustrating an example of a procedure in which the processing unit of the measurement device 102A including a camera detects a pulse from a moving image.
  • step S430 the processing unit of the measuring device 102A starts accumulation of moving image data.
  • step S431 the processing unit determines whether a face is included in the moving image data.
  • step S432 the processing unit extracts pigment information of the face portion of the moving image in time series.
  • step S433 the processing unit calculates a blood flow change in the face portion of the moving image from the time-series dye information.
  • step S434 the processing unit calculates a time-series pulse from the blood flow change, and calculates the pulse rate from the pulse time interval.
  • step S435 the processing unit determines whether or not the accumulation of moving image data continues. If accumulation of moving image data continues (YES in step S435), the process returns to step S431, and the above steps are repeated. On the other hand, if the accumulation of moving image data is not continued (NO in step S435), the operation in FIG.
  • FIG. 11 is a diagram illustrating a specific update example of the measurement value database 111 that is updated when the personal authentication information is inherited.
  • the measurement value database 111 is updated in step S409 in FIG. 7 and step S419 in FIG.
  • the personal authentication information is not inherited.
  • “inheritance (measuring instrument 102 ⁇ / b> A)” is shown in the authentication method field 213 of the personal authentication information field 204 to indicate that the personal authentication information has been inherited. Is recorded.
  • the measuring device 102A is “smart phone 0001”.
  • the personal ID field 214 of the personal authentication information field 204 the ID recorded in the personal ID field 214 of the measuring device 102A from which the personal authentication information is inherited is recorded.
  • FIG. 12 is a sequence diagram schematically showing a procedure for notifying that the measuring device 102B is treated as a personally authenticated device.
  • the server 101 transmits to the measuring device 102A and the measuring device 102B that the measuring device 102B is treated as a personally authenticated device by the procedure shown in FIG.
  • step S421 in FIG. 12 personal authentication information is included in both the biological information measurement data of the measurement device 102A of the measurement value database 111 in the server 101 and the biological information measurement data of the measurement device 102B at the current time of the server 101. It is a granted state.
  • the device management unit 105 of the server 101 sends a signal indicating that the measurement device 102B is a personally authenticated device to the measurement device 102A via the communication processing unit 103. Send.
  • step S423 the device management unit 105 of the server 101 confirms that the measurement device 102B is a personally authenticated device with respect to the measurement device 102B via the communication processing unit 103. Send a signal to represent.
  • step S424 the measuring device 102B is added to the personal authenticated device list displayed on the display unit of the measuring device 102A and displayed. In step S425, it is displayed on the display unit of measurement device 102B that measurement device 102B is a personally authenticated device.
  • the form in which the measurement device 102B is a personally authenticated device is displayed on the display unit of the measurement device 102B.
  • the device is a personally authenticated device that displays a character string on the display.
  • a form such as displaying a mark indicating that there is a possibility is conceivable.
  • the measuring device 102B has a light emitting diode (LED)
  • the LED may be turned on with a specified color, or the LED may be blinked at a predetermined interval.
  • a form in which one or a plurality of types of the exemplified forms are combined can be displayed on the display unit indicating that the measuring device 102B is a personally authenticated device, but the measuring device 102B is a personally authenticated device. If the user can confirm this, the display form is not limited. Further, when the measurement device 102B does not include a display unit for displaying that the measurement device 102B is a personally authenticated device, step S425 is not executed.
  • FIG. 13 schematically shows an example of signal transmission / reception between the server 101 and the measuring devices 102A and 102B and the display of the measuring devices 102A and 102B when the processing described in FIGS. 7, 8, and 12 is executed.
  • FIG. 13 schematically shows an example of signal transmission / reception between the server 101 and the measuring devices 102A and 102B and the display of the measuring devices 102A and 102B when the processing described in FIGS. 7, 8, and 12 is executed.
  • the measuring device 102 ⁇ / b> A is authenticated and measuring, and transmits biometric information to the server 101.
  • the measuring device 102B does not perform measurement without being authenticated. From this state 411, the measuring device 102B makes a transition to a state 412 where measurement has started.
  • the measuring device 102B Transmits measurement data to the server 101.
  • step S405 the server 101 calculates the similarity between the measurement data of the measurement device 102A and the measurement data of the measurement device 102B (step S407 in FIG. 7), and compares the similarity with a threshold value. (Step S408 in FIG. 7), it is determined whether or not the measuring device 102B can be a personally authenticated device. If the server 101 determines that the measuring device 102B may be a personally authenticated device, the measuring device 102B is transmitted to the measuring device 102A and the measuring device 102B that the measuring device 102B is a personally authenticated device (step S422 in FIG. 12). , S423).
  • the state 412 transits to the state 413
  • the measuring device 102B is added to the personally authenticated device list of the display unit 102Ad of the measuring device 102A, and the LED 102Bd of the measuring device 102B indicates that it is a personally authenticated device. Therefore, the measuring device 102B is in a state of being authenticated and measuring.
  • a smartphone is taken up as an example of the measuring device 102A, but the measuring device 102A is not limited to a smartphone.
  • the measuring device 102A has a personal authentication function as exemplified in FIGS. 3, 5, and 6, a communication function with the server 101, a display unit that can display information, and blood pressure, step count, pulse rate, What is necessary is just to have the measurement function which measures 1 or more types of biological information among heart rate, electrocardiogram, weight, respiratory rate, and sleep depth.
  • the blood pressure, the number of steps, the pulse rate, the heart rate, the electrocardiogram, the weight, the respiratory rate, and the sleep depth correspond to an example of a measurement type.
  • a wristwatch type activity meter is taken as an example of the measuring device 102B, but the measuring device 102B is not limited to a wristwatch type activity meter.
  • the measurement device 102B has a communication function with the server 101, and measures measurement items that can be measured by the measurement device 102A among blood pressure, number of steps, pulse rate, heart rate, electrocardiogram, weight, respiratory rate, and sleep depth. What is necessary is just to have a function.
  • a sphygmomanometer, a body composition meter, a weight scale, a sleep meter, an activity meter other than a wristwatch type, and the like can be considered.
  • the measuring device 102 ⁇ / b> B may acquire the pulse rate by analyzing the pigment information on the body surface in time series from the moving image including the face.
  • FIG. 14 is a flowchart schematically showing another example of a procedure for assigning personal authentication information to the measurement data of the measuring device 102B.
  • the personal authentication information when the personal authentication information is inherited by comparing the biometric information between the measuring device 102A and the measuring device 102B described in FIGS. Even when the similarity between the measurement data cannot be calculated between the measurement device 102A and the measurement device 102B by using the continuity, the personal authentication information can be given to the measurement data of the measurement device 102B.
  • the operation of FIG. 14 is executed, for example, at regular intervals while reception of measurement data from the measurement device 102B continues.
  • step S601 the determination unit 104 sets the starting time to the current time of the server 101.
  • determination unit 104 extracts measurement data from measurement value database 111 from the starting time of measurement device 102B to a predetermined time before.
  • step S603 the determination unit 104 determines whether there is data to which the personal authentication information is added to the data extracted in step S602. If the data extracted in step S602 does not include data with personal authentication information (NO in step S603), the process proceeds to step S607. On the other hand, if the data extracted in step S602 includes data with personal authentication information (YES in step S603), the process proceeds to step S604. In step S607, the determination unit 104 updates the starting time to a past time that is half the predetermined time, and then the process returns to step S602.
  • step S604 the determination unit 104 determines whether there is data to which the personal authentication information is not added in the data extracted in step S602. If there is no data to which personal authentication information is not assigned in the data extracted in step S602 (NO in step S604), the process proceeds to step S607. On the other hand, if the data extracted in step S602 includes data to which no personal authentication information is assigned (YES in step S604), the process proceeds to step S605. In step S605, the determination unit 104 determines whether the data to which the personal authentication information is added and the data to which the personal authentication information is not added in the extracted measurement data of the measurement device 102B is based on continuous measurement by the measurement device 102B. Determine whether or not.
  • the determination method of whether or not it is continuous measurement is (C1) When data indicating an explicit end of measurement is recorded between data with personal authentication information and data without personal authentication information, (C2) When the maximum value of the measurement data interval between the data with the personal authentication information and the data without the personal authentication information exceeds a predetermined threshold,
  • C1 When data indicating an explicit end of measurement is recorded between data with personal authentication information and data without personal authentication information
  • C2 When the maximum value of the measurement data interval between the data with the personal authentication information and the data without the personal authentication information exceeds a predetermined threshold.
  • a method for determining that the measurement is not continuous measurement is conceivable.
  • the method etc. which combined the illustrated continuous measurement determination method are also considered. Note that the determination method is not limited as long as it is possible to determine whether or not the measurement is continuous measurement.
  • step S605 when the data with the personal authentication information in the measurement data of the measuring device 102B and the data without the personal authentication information are based on continuous measurement by the measuring device 102B (YES in step S605). ), The process proceeds to step S606. On the other hand, when the data to which personal authentication information is added in the measurement data of the measuring device 102B and the data to which no personal authentication information is assigned are not based on continuous measurement by the measuring device 102B (NO in step S605), The process proceeds to step S607.
  • step S606 the determination unit 104 updates the measurement value database 111 of the server 101 by adding the personal authentication information to the measurement data to which the personal authentication information is not added. Thereafter, the process proceeds to step S607.
  • step S607 the start time is traced back to the past for half of the predetermined time, but is not limited to half of the predetermined time, and it is sufficient that the data to be extracted is duplicated.
  • the starting point time is traced back in step S607 and the starting point time reaches the first measurement time, the operation in FIG. 14 may be terminated.
  • FIG. 15 is a sequence diagram schematically showing an operation when the measuring device 102B, which has inherited the personal authentication information from the measuring device 102A having the personal authentication function, finishes the measurement of the biological information.
  • the measurement device 102B is recognized as a personally authenticated device (step S701), the operation of FIG. 15 is executed.
  • step S702 when the measuring device 102B ends the measurement of the biological information, the measuring device 102B transmits the measurement end of the biological information to the server 101 in step S703.
  • step S704 the device management unit 105 of the server 101 registers in the authentication management database 113 (FIG. 16) that the measurement device 102B is no longer handled as a personally authenticated device. Therefore, the measurement data of biometric information transmitted from the measurement device 102B thereafter is stored in the measurement value database 111 without being given personal authentication information.
  • step S705 the device management unit 105 of the server 101 transmits to the measuring device 102A that the measuring device 102B is a device that has not been personally authenticated.
  • step S706 the device management unit 105 transmits to the measuring device 102B that the measuring device 102B is a device that has not been personally authenticated.
  • step S707 the measuring device 102A deletes the measuring device 102B from the personally authenticated device list of the display unit 102Ad (FIG. 13) of the measuring device 102A, and updates and displays the personally authenticated device list.
  • step S708 the measuring device 102B displays that the measuring device 102B is an unindividually authenticated device by turning off the LED 102Bd (FIG. 13). If the measuring device 102B does not include a display unit such as an LED that displays that the device is not personally authenticated, step S708 is not executed.
  • step S709 the server 101 transmits the measurement data of the biological information from the measurement device 102A to the measurement data of the biological information of the measurement device 102B received after step S704, and the similarity to the biological information of the measurement device 102B.
  • the biometric information of the measuring device 102B is stored in the measurement value database 111 without authentication information until the personal authentication is completed.
  • FIG. 16 is a diagram schematically showing an example of authentication management information 1600 stored in the authentication management database 113.
  • the authentication management information 1600 includes a device ID column 1601, a time column 1602, a personal ID column 1603, and an authentication flag column 1604.
  • the device ID column 1601 and the personal ID column 1603 the same information as the device ID column 212 and the personal ID column 214 of the measurement data 200 (FIG. 2) is recorded, respectively.
  • the time column 1602 the time when the device management unit 105 starts or ends personal authentication is recorded.
  • the authentication flag column 1604 a flag indicating “authentication start” is recorded when the personal authentication is started, and a flag indicating “authentication end” is recorded when the personal authentication is ended.
  • the measuring device 102B having no personal authentication function inherits the personal authentication information of the measuring device 102A having the personal authentication function.
  • the personal authentication information inherited by the measurement device 102B (corresponding to an example of the second measurement device) that does not have the personal authentication function is used, and the measurement device 102C (the third measurement device of the third measurement device) that does not have the personal authentication function.
  • inheriting (corresponding to an example) will be described.
  • FIG. 17 is a sequence diagram schematically showing an example of a procedure for inheriting personal authentication information in the second embodiment.
  • the measuring device 102B starts measuring one or more types of biological information of the user.
  • the measurement device 102B transmits measurement data (corresponding to an example of second vital data) of all biological information measured by the measurement device 102B to the server 101.
  • the server 101 stores biometric information measurement data received from the measurement device 102 ⁇ / b> B in the measurement value database 111 in the server 101.
  • the measuring device 102C starts measuring one or more types of biological information of the user.
  • step S801 and step S803 the measurement device 102B and the measurement device 102C require a user operation necessary for starting measurement of biological information.
  • D1 Turn on the measuring device 102B and the measuring device 102C.
  • D2 The user wears the measuring device 102B and the measuring device 102C.
  • D3 A user may enter the measurable range of the measuring device 102B and the measuring device 102C.
  • the type of the operation is not limited as long as the measurement of the user's biological information is started by the measurement device 102B and the measurement device 102C. Further, the measurement device 102B and the measurement device 102C do not need to start measurement by the same operation.
  • step S804 the measurement device 102C transmits measurement data (corresponding to an example of third vital data) of all biological information measured by the measurement device 102C to the server 101.
  • step S805 the server 101 stores the measurement data of the biological information received from the measurement device 102C in the measurement value database 111 in the server 101.
  • the device management unit 105 of the server 101 determines whether or not personal authentication information is added to the measurement data from the measurement device 102B stored in the measurement value database 111.
  • the device management unit 105 has an empty personal activity information column 204 corresponding to “activity meter 0001” in the device ID column 212, and therefore, from the activity meter 0001 (an example of the measuring device 102 ⁇ / b> B). It is determined that the personal authentication information is not given to the measurement data.
  • the device management unit 105 records that the personal authentication information is inherited in the personal authentication information column 204 corresponding to “activity meter 0001” in the device ID column 212. It is determined that the personal authentication information is given to the measurement data from 0001 (an example of the measuring device 102B).
  • step S806 when the personal authentication information is not given to the measurement data from the measurement device 102B stored in the measurement value database 111 of the server 101, the subsequent processing is not performed, and the processing returns to step S805.
  • step S806 when the personal authentication information is added to the measurement data from the measurement device 102B stored in the measurement value database 111 of the server 101, the process proceeds to step S807.
  • step S807 the similarity verification unit 106 of the server 101 resembles the feature amount of the measurement data of the measurement device 102B and the feature amount of the measurement data of the measurement device 102C stored in the measurement value database 111 of the server 101. The degree (corresponding to an example of the second value indicating the degree of coincidence) is calculated.
  • the similarity verification unit 106 uses measurement data having the same measurement type recorded in the measurement type column 211 (FIG. 2) of the measurement value database 111. Moreover, the similarity verification unit 106 uses measurement data acquired in the same time zone. That is, the similarity verification unit 106, for example, the measurement data of the measurement device 102B acquired during 1 minute from 12:00 to 12:01 and the measurement device 102C acquired during 1 minute of 12:00 to 12:01. Measurement data. Note that the similarity verification unit 106 is not limited to 1 minute, and may use measurement data acquired for 5 minutes from 12:00 to 12:05, for example. This time width may be set in advance for each measurement type, or may be stored in advance in association with the time width and the measurement type, for example, in the ROM of the memory 108.
  • the methods (B1) to (B6) exemplified in the first embodiment can be considered, but the similarity calculation method is similar to the first embodiment. It is not limited to what was illustrated.
  • the predetermined second threshold may be determined in advance according to the type of similarity calculated and stored in the memory 108.
  • step S808 the similarity verification unit 106 determines whether the similarity calculated in step S807 is equal to or greater than a predetermined second threshold value. If the similarity calculated in step S807 is determined to be greater than or equal to the predetermined second threshold value in step S808, step S809 is executed. In step S809, the similarity verification unit 106 is shown in FIG. 18 so that it is clearly shown that the measurement device 102C that calculated the similarity in step S807 inherits the personal authentication information of the measurement device 102B. In addition, the measurement data 200 stored in the measurement value database 111 of the server 101 is updated. The specific processing performed in steps S807, S808, and S809 can be realized by the method described in FIG.
  • FIG. 18 is a diagram showing a specific update example of the measurement value database 111 performed in step S809 of FIG.
  • the measuring device 102B is “activity meter 0001” and the measuring device 102C is “blood pressure meter 0002”.
  • the personal authentication information is not inherited for the “blood pressure meter 0002” in the device ID column 212.
  • the measurement device 102B in the authentication method column 213 of the personal authentication information column 204 of “blood pressure meter 0002” of the device ID column 212, the measurement device 102B (that is, the activity meter 0001). “Inheritance (activity total 0001)” is recorded to indicate that the personal authentication information has been inherited.
  • the ID recorded in the personal ID column 214 of the measuring device 102B from which the personal authentication information is inherited that is, the activity meter 0001), that is, “user A” is recorded. Is done.
  • the pulse is measured by both “activity meter 0001” as an example of the measuring device 102B and “blood pressure meter 0002” as an example of the measuring device 102C. ing. Accordingly, in step S807 of FIG. 17, the similarity can be calculated using the pulse measurement data.
  • FIG. 19 is a sequence diagram schematically illustrating an example of a procedure for assigning personal authentication information to measurement data of measured biological information in the third embodiment.
  • a personal authentication mechanism having a personal authentication function has a biometric information measurement function.
  • the measuring device 102A includes a camera.
  • the measuring device 102A is in a state where the personal authentication is not performed and the device is locked in step S1001. From this locked state, in step S1002, the measuring device 102A prompts the user to shoot a moving image including the user's face using the camera. The measuring device 102A acquires a moving image including the photographed user's face.
  • step S1003 the moving image including the photographed user's face is transmitted from the measuring device 102A to the server 101.
  • the determination unit 104 of the server 101 compares the received moving image feature quantity with the personal authentication information registered in the personal authentication database 112 of the server 101, and the face in the moving image is the face of the registered user. It is determined whether or not there is. When it is determined that the face in the moving image is not the registered user's face, the following processing is not performed.
  • step S1005 the determination unit 104 of the server 101 registers the measuring device 102A as the personally authenticated device of the registered user.
  • step S1006 the server 101 transmits to the measuring device 102A that the measuring device 102A has been registered as a personally authenticated device.
  • step S1007 the measurement device 102A is unlocked.
  • step S1008 the server 101 extracts feature amounts for the pigment information from the received moving image including the user's face, and detects the user's biological information.
  • biometric information examples include the user's pulse rate, heart rate, stress state, and respiratory rate.
  • the pulse rate can be detected using the procedure described with reference to FIG.
  • One or more types of exemplified biological information can be detected, but the types of detectable biological information are not limited.
  • step S ⁇ b> 1009 the server 101 gives personal authentication information of the registered user to the detected biometric information and stores it in the measurement value database 111 of the server 101.
  • a camera is exemplified as the personal authentication mechanism, but the personal authentication mechanism is not limited to the camera.
  • a fingerprint authentication mechanism may be provided as the authentication mechanism of the measuring device 102A.
  • the authentication type of the authentication mechanism of the measuring device 102A is not limited.
  • FIG. 20 is a block diagram schematically illustrating a configuration example of the determination apparatus according to the fourth embodiment.
  • FIG. 21 is a block diagram schematically showing a configuration example of a sphygmomanometer.
  • FIG. 22 is a diagram schematically showing a measurement state when the user measures blood pressure using a sphygmomanometer.
  • FIG. 23 is a diagram schematically showing an example of a screen displayed on the display unit of the determination apparatus before the start of blood pressure measurement.
  • the determination device 2100 includes a camera 2120, an angle sensor 2140, a microphone 2130, a display unit 2150, a CPU 2110, a communication unit 2160, and a storage unit 2170. I have.
  • the storage unit 2170 is configured by, for example, a semiconductor memory.
  • the storage unit 2170 includes, for example, a read only memory (ROM), a random access memory (RAM), an electrically erasable / rewritable ROM (EEPROM), and the like.
  • the ROM of the storage unit 2170 stores the control program of the fourth embodiment that operates the CPU 2110.
  • the storage unit 2170 records information such as audio data, image data, and blood pressure measurement values.
  • the storage unit 2170 is built in the determination device 2100 in the fourth embodiment, but is not limited thereto.
  • the storage unit 2170 may be a memory of a server connected to a network, for example.
  • the CPU 2110 operates according to the control program of the fourth embodiment stored in the storage unit 2170, so that the face position determination unit 2111, the posture determination unit 2112, the voice determination unit 2113, and the reliability determination unit 2114 It has a function.
  • the determination device 2100 is held by one user or both hands so that the camera 2120 reflects the face of the user 2000 by the user 2000 wearing the blood pressure monitor 2200 on the wrist.
  • the determination device 2100 is held by the user 2000 with one hand on the side on which the sphygmomanometer 2200 is attached.
  • a smartphone is used in the fourth embodiment.
  • a tablet computer may be used as the determination device 2100.
  • a sphygmomanometer 2200 linked to the determination device 2100 includes a control unit 2210, a cuff 2220, a communication unit 2230, and a display unit 2240.
  • the control unit 2210 includes a CPU, a memory, and the like, and performs arithmetic processing.
  • the cuff 2220 is a bag-like belt.
  • the cuff 2220 is attached to the wrist on the side having the determination device 2100 of the user 2000, for example.
  • the communication unit 2230 performs communication with the determination device 2100.
  • Display unit 2240 displays measurement results.
  • the camera 2120 captures a still image or a moving image.
  • the camera 2120 captures the face of the user 2000 and inputs image data to the CPU 2110.
  • the angle sensor 2140 acquires first information indicating an angle of inclination of the normal line on the surface of the display unit 2150 of the determination device 2100 with respect to the direction of gravity.
  • the angle sensor 2140 is composed of, for example, a gyroscope or an acceleration sensor.
  • the angle sensor 2140 is provided in the determination device 2100 in the fourth embodiment. Instead of the angle sensor 2140, an angle sensor provided in the sphygmomanometer 2200 may be used. In this case, reference data representing the correlation between the wrist angle and the angle of the determination device 2100 may be used.
  • the microphone 2130 acquires sound around the determination device 2100.
  • the microphone 2130 inputs the acquired sound to the CPU 2110.
  • the display unit 2150 is controlled by the CPU 2110 to display a message for instructing the user 2000 to take an appropriate posture, a blood pressure measurement value, reliability of the measurement value, and the like. A specific example of the screen displayed on the display unit 2150 will be described later.
  • Communication unit 2160 is controlled by CPU 2110 to communicate with sphygmomanometer 2200 in a wired or wireless manner.
  • the communication unit 2160 transmits a measurement start instruction to the sphygmomanometer 2200, receives a measurement result from the sphygmomanometer 2200, or communicates with an external server to transmit / receive data.
  • the face position determination unit 2111 acquires second information indicating the position and size of the face in the image data from the image data of the camera 2120 of the determination device 2100.
  • the second information is used for posture determination in the posture determination unit 2112.
  • the sound determination unit 2113 compares the sound data of the microphone 2130 of the determination device 2100 with the exhaust sound data of the cuff 2220 stored in advance in the storage unit 2170, and the sound acquired by the microphone 2130 is compared with the sound of the cuff 2220. It is determined whether or not exhaust noise is included.
  • the posture determination unit 2112 determines the height at which the cuff 2220 is located from the second information obtained from the face position determination unit 2111 and the first information obtained from the angle sensor 2140. Specifically, the posture determination unit 2112 has the angle indicated by the first information within a predetermined first range, and the position of the face of the user 2000 in the image data indicated by the second information is predetermined. If the ratio of the size of the face of the user 2000 in the image data indicated in the second information is within the predetermined third range, the cuff 2220 and the heart of the user 2000 Are determined to be at the same height. The posture determination unit 2112 outputs, for example, to the display unit 2150 that it has been determined that the cuff 2220 and the heart of the user 2000 are at the same height.
  • the posture determination unit 2112 has an inclination of the normal of the surface of the display unit 2150 of the determination device 2100 with respect to the direction of gravity, which is determined in advance so that the position of the cuff 2220 of the sphygmomanometer 2200 is positioned at the heart of the user 2000 If the difference between the angle and the first information acquired by the angle sensor 2140 is equal to or smaller than a predetermined threshold value, the angle indicated in the first information is determined to be within the predetermined first range. Good.
  • the angle of inclination may be stored in advance.
  • posture determination unit 2112 displays a frame 2151 of a predetermined size at a predetermined position on display unit 2150 at the start of blood pressure measurement. Is displayed below the frame 2151.
  • the posture determination unit 2112 determines the position of the face of the user 2000 in the image data indicated by the second information to be a predetermined first. It may be determined that the ratio of the size of the face of the user 2000 in the image data indicated by the second information is within the predetermined third range.
  • the size of the face image 2152 of the user 2000 (FIG. 23) captured by the camera 2120 and displayed on the display unit 2150 depends on the distance between the camera 2120 (that is, the determination device 2100) and the face of the user 2000. Therefore, the horizontal length of the frame 2151 can be determined in advance in consideration of the general arm length and face size of the user 2000.
  • the height position of the face image 2152 of the user 2000 displayed on the display unit 2150 depends on the angle of inclination that the user 2000 has the determination device 2100 and the height of the determination device 2100. Therefore, the length and position of the frame 2151 in the vertical direction and the display unit of the determination device 2100 described above so that the wrist height of the user 2000 having the determination device 2100 matches the height of the heart of the user 2000.
  • the angle of the inclination of the normal of the 2150 surface with respect to the direction of gravity can be determined in advance.
  • FIG. 24 is a flowchart schematically showing the operation of the determination device 2100 during blood pressure measurement in the fourth embodiment.
  • FIG. 25 to FIG. 28 are diagrams schematically showing screen examples displayed on the display unit of the determination apparatus during blood pressure measurement. The operation of the determination apparatus 2100 will be described with reference to FIGS.
  • the user 2000 wears the cuff 2220 of the sphygmomanometer 2200 on the arm.
  • the sphygmomanometer used may be a wrist type or an upper arm type, but in the fourth embodiment, a wrist type sphygmomanometer is taken as an example.
  • the user 2000 holds the determination device 2100 with one hand or both hands (in the fourth embodiment, as described above, one hand on the side on which the sphygmomanometer 2200 is mounted), and points the camera 2120 toward the face of the user 2000. .
  • step S2100 the posture determination unit 2112 prompts the user 2000 to take a correct posture through the display unit 2150.
  • the posture determination unit 2112 displays a frame 2151 and a face image 2152 photographed by the camera 2120 on the display unit 2150, and the face image 2152 is displayed in the frame 2151. It is instructed to move the hand holding the determination device 2100 so as to appear.
  • the method of presenting the correct posture is not limited to this.
  • the posture determination unit 2112 may simply display on the display unit 2150 the direction in which the hand holding the determination device 2100 should be moved.
  • the face position determination unit 2111 acquires an image including the face of the user 2000, which is captured by the camera 2120.
  • the face position determination unit 2111 acquires second information indicating the position and size of the face in the image from the acquired image, and delivers the second information to the posture determination unit 2112.
  • the face position is, for example, the center position of the face area of the user 2000 in the image data captured by the camera 2120.
  • the size of the face is information indicating the ratio of the area of the face of the user 2000 to the image data captured by the camera 2120, for example.
  • step S ⁇ b> 2103 the posture determination unit 2112 acquires from the angle sensor 2140 first information indicating the angle of inclination of the normal of the surface of the display unit 2150 of the determination device 2100 with respect to the direction of gravity. After that, in step S2104, the posture determination unit 2112 occupies the angle indicated by the first information, the position in the image data of the face of the user 2000 indicated by the second information, and the size occupied in the image data of the face of the user 2000. It is determined whether or not the ratio is within a predetermined range.
  • the angle indicated by the first information is within the first range
  • the position of the face of the user 2000 indicated by the second information in the image data is within the second range
  • the user 2000 indicated by the second information is
  • posture determination unit 2112 determines that the height of cuff 2220 matches the height of the heart of user 2000. Then, the reliability determination unit 2114 is notified that the user 2000 is using the sphygmomanometer 2200 in a correct posture.
  • the positional relationship between the camera 2120, the cuff 2220, the face of the user 2000, and the heart is limited. Is done. Therefore, the relative position of the cuff 2220 and the heart of the user 2000 is calculated from the position of the face of the user 2000 and the ratio of the face size in the image data captured by the camera 2120 indicated by the second information. be able to.
  • the vertical relationship between the cuff 2220 and the heart can be determined by using the angle of inclination of the normal of the surface of the display unit 2150 of the determination device 2100 indicated by the first information obtained from the angle sensor 2140 with respect to the direction of gravity. .
  • the cuff 2220 For correct blood pressure measurement, it is desirable for the cuff 2220 to be level with the heart. Therefore, the angle detected by the angle sensor 2140 when the cuff 2220 and the heart are the same height, the position of the face in the image, and the ratio of the size of the face in the image are stored in the storage unit 2170 in advance.
  • the posture can be determined by determining that each has a predetermined value.
  • the display unit 2150 displays the determination results of the face position determination unit 2111 and the posture determination unit 2112 as shown in FIG. It is desirable to urge the user 2000 to take a correct posture by feeding back to 2000.
  • step S2105 the face position determination unit 2111 authenticates the face of the user 2000 using the image acquired in step S2101.
  • the storage unit 2170 stores the feature amount of the face image of the user 2000 in advance.
  • the face position determination unit 2111 extracts the feature amount of the face image of the user 2000 from the image acquired in step S2101.
  • the face position determination unit 2111 compares the extracted feature amount with the feature amount of the face image of the user 2000 stored in the storage unit 2170 in advance, and determines whether or not they match each other.
  • personal authentication in step S2105 it is possible to identify a person who is currently using the sphygmomanometer 2200, and to prevent blood pressure measurement by another person.
  • step S2105 blood pressure measurement may be stopped if personal authentication cannot be performed in step S2105. If step S2105 is omitted and the posture determination unit 2112 determines that the cuff 2220 is at a predetermined height (YES in step S2104), the process may directly proceed to step S2106.
  • posture determination unit 2112 instructs sphygmomanometer 2200 to start blood pressure measurement via communication unit 2160.
  • the communication unit 2160 and the sphygmomanometer 2200 may be connected wirelessly or by wire, and the start of blood pressure measurement may be instructed via the communication unit 2160.
  • the user 2000 may be instructed to start blood pressure measurement through the display unit 2150, and the user 2000 may be operated with the sphygmomanometer 2200.
  • the sound determination unit 2113 detects the exhaust sound of the cuff 2220 from the sound acquired by the microphone 2130.
  • the cuff 2220 of the sphygmomanometer 2200 expands and contracts as the internal pressure is controlled, and emits an exhaust sound during decompression.
  • the exhaust sound of the cuff 2220 is stored in advance in the storage unit 2170.
  • the sound determination unit 2113 compares the sound acquired by the microphone 2130 with the exhaust sound stored in advance in the storage unit 2170.
  • the sound determination unit 2113 determines whether the sound acquired by the microphone 2130 includes the exhaust sound emitted by the cuff 2220 based on the comparison result, and outputs the determination result to the reliability determination unit 2114.
  • the blood pressure monitor 2200 is arranged at a plurality of different distances and the data recording the exhaust sound of the cuff 2220 is stored in the storage unit 2170 or an external server, and the voice determination unit 2113 receives the voice acquired by the microphone 2130. It may be compared with a plurality of types of exhaust sounds. Thereby, it can be confirmed that the cuff 2220 is positioned in the vicinity of the determination device 2100. As a result, fraud such as measurement by another person and measurement in a state where the cuff 2220 is attached to the arm opposite to the arm holding the determination device 2100 can be eliminated.
  • step S 2108 the face position determination unit 2111 acquires an image including the face of the user 2000 captured by the camera 2120, acquires second information, and notifies the reliability determination unit 2114 of the acquired second information.
  • step S ⁇ b> 2109 the posture determination unit 2112 acquires the first information from the angle sensor 2140 and notifies the reliability determination unit 2114 of the acquired first information.
  • the first information and the second information are acquired using the angle sensor 2140 and the camera 2120 even during blood pressure measurement, and are notified to the reliability determination unit 2114.
  • the posture determination unit 2112 displays a message “Please do not move during measurement” on the display unit 2150 as shown in FIG. It is advisable not to instruct.
  • the determination device 2100 determines that the blood pressure measurement is completed when a predetermined time has elapsed from the start of blood pressure measurement (step S2106). Alternatively, the determination device 2100 may determine that the blood pressure measurement has ended when the communication unit 2160 receives a notification that the blood pressure measurement has ended from the sphygmomanometer 2200. Thereafter, in step S2110, the determination apparatus 2100 acquires the measured blood pressure measurement value from the sphygmomanometer 2200 through the communication unit 2160.
  • the sphygmomanometer 2200 may include a speaker that emits a specific sound indicating the end of measurement, for example.
  • the sound determination unit 2113 may determine that the blood pressure measurement has ended when it is determined that a specific sound has been emitted.
  • the sphygmomanometer 2200 may transmit information such as a blood pressure value and a measurement end time to the determination apparatus 2100 after emitting a specific sound from the speaker.
  • the reliability determination unit 2114 uses the audio data, the second information, and the first information acquired in steps S2107, S2108, and S2109, respectively, to determine the reliability of the measurement result. judge.
  • the reliability determination unit 2114 performs the same determination as in step S2104 on the first information and the second information. For example, when the angle indicated by the first information is not within the predetermined first range, or when the position of the user's face indicated by the second information is not within the predetermined second range, or the user's face indicated by the second information If the ratio of the magnitude of the is not in the predetermined third range (NO in step S2111), it is considered that the posture has changed after the start of measurement. For this reason, the reliability determination part 2114 determines with the reliability of a measurement result being low, and returns a process to step S2106.
  • the reliability determination unit 2114 may continuously acquire images and angles after the start of blood pressure measurement in step S2106.
  • the reliability determination unit 2114 may measure the time when the position and size ratio and angle of the face in the image are out of a predetermined range.
  • the reliability determination unit 2114 may determine that the reliability of the measurement result is low when it is longer than the predetermined time.
  • step S2112 the reliability determination unit 2114 determines whether the exhaust sound of the cuff 2220 is detected by the sound determination unit 2113 from the sound acquired in step S2107. If the exhaust sound of the cuff 2220 is not detected or if the detection level of the exhaust sound is equal to or lower than a predetermined threshold (NO in step S2112), it is determined that the reliability of the measurement result is low, and the process proceeds to step S2106. return.
  • the reliability determination unit 2114 determines that the reliability of the measurement result is low (NO in step S2111 or NO in step S2112), in the example of FIG. 24, communication with the sphygmomanometer 2200 is performed through the communication unit 2160 and remeasurement is performed. Yes, but not limited to this. For example, (E1) discard the measurement result as invalid, (E2) Decrease the weighting of measurement results when used for analysis such as health assessment, (E3) A screen as shown in FIG. 27 is displayed on the display unit 2150, notifying the user 2000 that the measurement has failed, and prompting remeasurement. One or more of these may be implemented. The determination result of the reliability determination unit 2114 may be converted into a numerical value, and the handling of the measurement result may be changed depending on the numerical value of reliability.
  • step S2113 the reliability determination unit 2114 displays a screen as shown in FIG. Display that the measurement was successful.
  • the reliability determination unit 2114 also displays the measurement value received from the sphygmomanometer 2200.
  • the sphygmomanometer 2200 may operate as a normal sphygmomanometer when not used together with the determination device 2100, and is linked to the determination device 2100 by switching the operation mode of the sphygmomanometer 2200. It may work.
  • the determination device 2100 of the fourth embodiment is for determining the posture of the user 2000, and the measuring device to be used is not limited to the sphygmomanometer 2200.
  • the determination apparatus 2100 may be used together with a measuring device such as a weight scale in which the posture of the user 2000 affects the measurement result. Thereby, the reliability of the measured value can be increased.
  • the determination device 2100 includes a camera 2120 and a CPU 2110 in addition to the angle sensor 2140. Accordingly, the posture of the user 2000 can be estimated more accurately by using the image of the camera 2120 whose positional relationship with the user 2000 and the cuff 2220 is known as compared with the posture estimation of the user 2000 using only the conventional angle sensor. And the accuracy of the measurement result is improved.
  • the determination device 2100 includes a camera 2120 and a display unit 2150.
  • the display unit 2150 displays a frame 2151 indicating an appropriate face position as shown in FIG. Therefore, by providing feedback to the user 2000 through the display unit 2150, the user 2000 can easily and intuitively take a correct posture.
  • the determination device 2100 uses the face image of the user 2000 photographed by the camera 2120, it is possible to detect a difference in posture that cannot be estimated only by the angle sensor 2140. In addition, it is difficult for the user 2000 to intentionally perform illegal measurement. For example, it is possible to suppress illegal measurement by eliminating fraud that can easily be conceived, such as when lying down.
  • the determination device 2100 includes the camera 2120 and projects the face of the user 2000 at a predetermined position, it can easily perform face authentication using an image. Therefore, there is an effect of linking measurement results to individuals to facilitate the organization and analysis of the measurement results, and an effect of preventing impersonation fraud that causes another person to perform measurement instead.
  • FIG. 29 is a block diagram schematically illustrating a configuration example of the determination apparatus according to the fifth embodiment.
  • FIG. 30 is a diagram schematically showing a measurement state when a user measures blood pressure using a sphygmomanometer.
  • FIG. 31 is a diagram schematically illustrating an example of a screen displayed on the display unit of the determination apparatus before the start of blood pressure measurement. Note that the sphygmomanometer used in the fifth embodiment has the same configuration as the sphygmomanometer 2200 of the fourth embodiment shown in FIG.
  • the determination apparatus 2300 of the fifth embodiment includes a camera 2320, an angle sensor 2340, a display unit 2350, a CPU 2310, a communication unit 2360, and a storage unit 2370.
  • the storage unit 2370 is configured by, for example, a semiconductor memory.
  • the storage unit 2370 includes, for example, a ROM, a RAM, an EEPROM, and the like.
  • the ROM of the storage unit 2370 stores the control program of the fifth embodiment that causes the CPU 2310 to operate.
  • the storage unit 2370 records information such as audio data, image data, and blood pressure measurement values.
  • the storage unit 2370 is built in the determination device 2300, but is not limited thereto.
  • the storage unit 2370 may be a memory of a server connected to a network, for example.
  • the CPU 2310 has functions of a face position determination unit 2311, a posture determination unit 2312, and a reliability determination unit 2314 by operating according to the control program of the fifth embodiment stored in the storage unit 2370.
  • the determination device 2300 is held with both hands so that the camera 2320 reflects the face of the user 2000 by the user 2000 wearing the sphygmomanometer 2200 on the upper arm.
  • a smartphone is used in the fifth embodiment.
  • a tablet computer may be used as the determination device 2300.
  • the camera 2320, the angle sensor 2340, and the communication unit 2360 have the same functions as the camera 2120, the angle sensor 2140, and the communication unit 2160 of the fourth embodiment shown in FIG.
  • the display unit 2350 is controlled by the CPU 2310 to display a message for instructing the user 2000 to take an appropriate posture, reliability of measured values, and the like. A specific example of the screen displayed on the display unit 2350 will be described later.
  • the display unit 2350 of the fifth embodiment is a touch panel display that detects a contacted location and notifies the CPU 2310 when the user 2000 touches the display unit 2350.
  • the face position determination unit 2311 performs the same function as the face position determination unit 2111 of the fourth embodiment shown in FIG.
  • the posture determination unit 2312 determines the height at which the cuff 2220 is located from the second information obtained from the face position determination unit 2311 and the first information obtained from the angle sensor 2340. Specifically, the posture determination unit 2312 determines that the angle indicated by the first information is within a predetermined first range and the position of the face of the user 2000 in the image data indicated by the second information is predetermined. If the ratio of the size of the face of the user 2000 in the image data indicated by the second information is within the predetermined third range, the cuff 2220 and the heart of the user 2000 are included. Are determined to be at the same height.
  • the posture determination unit 2312 outputs, for example, to the display unit 2350 that it is determined that the cuff 2220 and the heart of the user 2000 are at the same height.
  • the posture determination unit 2312 determines the inclination of the normal of the surface of the display unit 2350 of the determination device 2300 with respect to the direction of gravity, which is determined in advance so that the position of the cuff 2220 of the sphygmomanometer 2200 is positioned at the heart height of the user 2000. If the difference between the angle and the first information acquired by the angle sensor 2340 is equal to or smaller than a predetermined threshold value, it is determined that the angle indicated in the first information is within the predetermined first range. Good.
  • the storage unit 2370 is configured so that the position of the cuff 2220 of the sphygmomanometer 2200 is determined in advance so that the position of the cuff 2220 is positioned at the height of the heart of the user 2000. The angle of inclination may be stored in advance.
  • posture determination unit 2312 displays a frame 2351 of a predetermined size at a predetermined position on display unit 2350 at the start of blood pressure measurement, and displays icons 2353A and 2353B on display unit.
  • a message is displayed at a predetermined position at the left end and the right end of 2350, and a message for the user 2000 that “a measurement is started by touching both ends with the face in the frame” is displayed below the frame 2351.
  • the posture determination unit 2312 displays the image indicated in the second information.
  • the position of the face of the user 2000 in the data is within the predetermined second range, and the proportion of the size of the user 2000 in the image data indicated by the second information is within the predetermined third range. You may determine that there is.
  • the size of the user 2000 face image 2352 (FIG. 31) captured by the camera 2320 and displayed on the display unit 2350 depends on the distance between the camera 2320 (that is, the determination device 2300) and the user 2000 face. Therefore, the horizontal length of the frame 2351 can be determined in advance in consideration of the general arm length and face size of the user 2000.
  • the height position of the face image 2352 of the user 2000 displayed on the display unit 2350 depends on the angle of inclination that the user 2000 has the determination device 2300 and the height of the determination device 2300. Therefore, the length and position of the frame 2351 in the vertical direction and the display unit of the determination device 2300 described above so that the height of the upper arm of the user 2000 having the determination device 2300 matches the height of the heart of the user 2000.
  • the angle of inclination of the normal line of the 2350 surface with respect to the direction of gravity can be determined in advance.
  • FIG. 32 is a flowchart schematically showing the operation of the determination device 2300 during blood pressure measurement according to the fifth embodiment.
  • FIG. 33 to FIG. 35 are diagrams schematically showing screen examples displayed on the display unit of the determination apparatus during blood pressure measurement. The operation of the determination apparatus 2300 will be described with reference to FIGS.
  • the user 2000 wears the cuff 2220 of the sphygmomanometer 2200 on the upper arm.
  • the user 2000 holds the determination device 2300 with both hands, and points the camera 2320 toward the user 2000's face.
  • the posture determination unit 2312 prompts the user 2000 to take a correct posture through the display unit 2350.
  • the posture determination unit 2312 displays a frame 2351 and a face image 2352 captured by the camera 2320 on the display unit 2350, as shown in FIG.
  • the posture determination unit 2312 displays the first icon 2353A in the vicinity of the left end of the display unit 2350, displays the second icon 2353B in the vicinity of the right end of the display unit 2350, and further touches both ends with the face in the frame. Is displayed below the frame 2351 and instructs the user 2000 to touch both the first icon 2353A and the second icon 2353B.
  • the face position determination unit 2311 acquires an image including the face of the user 2000 captured by the camera 2320.
  • the face position determination unit 2311 acquires second information indicating the position of the face in the image and the ratio of the size of the face in the image from the acquired image, and sends the second information to the posture determination unit 2312. Hand over.
  • the face position is, for example, the center position of the face area of the user 2000 in the image data photographed by the camera 2320.
  • the ratio of the size of the face is information indicating the ratio of the area of the face of the user 2000 in the image data photographed by the camera 2320, for example.
  • step S2203 the posture determination unit 2312 acquires, from the angle sensor 2340, first information indicating the angle of inclination of the normal of the surface of the display unit 2350 of the determination device 2300 with respect to the gravity direction.
  • step S2204 posture determination unit 2312 acquires contact information on first icon 2353A and second icon 2353B displayed on display unit 2350 from display unit 2350.
  • step S2205 the posture determination unit 2312 determines whether the user 2000 is touching both the first icon 2353A and the second icon 2353B based on the acquired contact information. If user 2000 is touching both icons (YES in step S2205), posture determination unit 2312 determines that the position of user 2000's hand is fixed, and the process proceeds to step S2206. On the other hand, if user 2000 has not touched both icons (NO in step S2205), the process returns to step S2200, and posture determination unit 2312 provides first icon to user 2000 as shown in FIG. 31, for example. Instruct to touch both 2353A and second icon 2353B.
  • posture determination unit 2312 determines the angle indicated by the first information, the position in the image data of the face of user 2000 indicated by the second information, and the size occupied by the image data of the face of user 2000. Are determined to be within a predetermined range.
  • the angle indicated by the first information is within the first range
  • the position of the face of the user 2000 indicated by the second information in the image data is within the second range
  • the user 2000 indicated by the second information is When the proportion of the size of the facial image data is within the third range (YES in step S2206), posture determination unit 2312 determines that the height of cuff 2220 matches the height of the heart of user 2000.
  • the reliability determination unit 2314 is notified that the user 2000 is using the sphygmomanometer 2200 in a correct posture.
  • step S2207 the face position determination unit 2311 authenticates the face of the user 2000 using the image acquired in step S2201.
  • the storage unit 2370 stores the feature amount of the face image of the user 2000 in advance.
  • the face position determination unit 2311 extracts the feature amount of the face image of the user 2000 from the image acquired in step S2201.
  • the face position determination unit 2311 compares the extracted feature amount with the feature amount of the face image of the user 2000 stored in advance in the storage unit 2370 and determines whether or not they match each other.
  • step S2105 is omitted and posture determination unit 2312 determines that user 2000 is in the correct posture (YES in step S2206), the process may proceed directly to step S2208.
  • step S2208 posture determination unit 2312 transmits a command to start measurement to sphygmomanometer 2200 via communication unit 2360.
  • the face position determination unit 2311 acquires an image including the face of the user 2000 captured by the camera 2320, acquires second information, and notifies the reliability determination unit 2314 of the acquired second information. To do.
  • the posture determination unit 2312 acquires the first information from the angle sensor 2340 and notifies the reliability determination unit 2314 of the acquired first information.
  • the posture determination unit 2312 acquires contact information on the first icon 2353A and the second icon 2353B displayed on the display unit 2350 from the display unit 2350.
  • the first information and the second information are acquired using the angle sensor 2340 and the camera 2320 even during blood pressure measurement, and the contact information on the first icon 2353A and the second icon 2353B is displayed on the display unit. 2350, and the reliability determination unit 2314 is notified of the acquired information.
  • the posture determination unit 2312 displays a message “Do not move during measurement” on the display unit 2350 as shown in FIG. 33 and moves the user 2000 in the correct posture. You may instruct them not to.
  • the determination device 2300 determines that the blood pressure measurement has ended when a predetermined time has elapsed since the start of blood pressure measurement (step S2208). Alternatively, the determination device 2300 may determine that the blood pressure measurement has been completed when the communication unit 2360 receives a notification that the blood pressure measurement has been completed from the sphygmomanometer 2200. Thereafter, in step S2212, the determination apparatus 2300 acquires the measured blood pressure measurement value from the sphygmomanometer 2200 through the communication unit 2360.
  • the reliability determination unit 2314 uses the image data, angle data, and contact information acquired in steps S2209, S2210, and S2211, respectively, and the same procedure as steps S2205 and S2206. Then, the reliability of the measurement result is determined.
  • a microphone and a sound determination unit may be provided to perform determination by sound. Thereby, the reliability can be further improved.
  • the reliability determination unit 2314 determines that the reliability of the measurement result is low (NO in step S2213 or NO in step S2214), in the example of FIG. 32, communication with the sphygmomanometer 2200 is performed through the communication unit 2360 and remeasurement is performed. Yes, but not limited to this. For example, (F1) discard the measurement result as invalid, (F2) Decrease the weighting of measurement results when used for analysis such as health assessment, (F3) A screen as shown in FIG. 34 is displayed on the display unit 2350 to notify the user 2000 that the measurement has failed and to prompt remeasurement. One or more of these may be implemented. Note that the determination result of the reliability determination unit 2314 may be digitized, and the handling of the measurement result may be changed depending on the reliability value.
  • step S2215 the reliability determination unit 2314 displays a screen as shown in FIG. 35 on the display unit 2350. Display that the measurement was successful. The reliability determination unit 2314 also displays the measurement value received from the sphygmomanometer 2200.
  • both hands of the user 2000 can be obtained.
  • the position can be fixed and accurate posture determination can be performed.
  • a method for identifying a person to be measured is described in a determination apparatus that determines a measurement state when measuring blood pressure using a sphygmomanometer.
  • the method for identifying the person to be measured according to the sixth embodiment is different from step S2105 in FIG. 24 and step S2207 in FIG.
  • FIG. 36 is a block diagram schematically illustrating a configuration example of the determination apparatus according to the sixth embodiment.
  • the measurement state when the user measures blood pressure using a sphygmomanometer is the same as that of the fourth embodiment shown in FIG.
  • the screen displayed on the display unit of the determination device before the start of blood pressure measurement is the same as that of the fourth embodiment shown in FIG.
  • the blood pressure monitor used in the sixth embodiment has the same configuration as that of the fourth embodiment shown in FIG.
  • the sphygmomanometer 2200 (FIG. 21) used in the sixth embodiment measures the pulse in addition to the blood pressure, like a general sphygmomanometer.
  • the control unit 2210 of the sphygmomanometer 2200 transmits the pulse measurement result to the determination apparatus 2500 in addition to the blood pressure measurement result via the communication unit 2230.
  • the determination apparatus 2500 includes a CPU 2510, a camera 2520, a microphone 2530, an angle sensor 2540, a display unit 2550, a communication unit 2560, and a storage unit 2570. I have.
  • the storage unit 2570 is constituted by, for example, a semiconductor memory.
  • the storage unit 2570 includes, for example, a ROM, a RAM, an EEPROM, and the like.
  • the ROM of the storage unit 2570 stores the control program according to the sixth embodiment that causes the CPU 2510 to operate.
  • the storage unit 2570 records information such as audio data, image data, and blood pressure measurement values.
  • the storage unit 2570 is built in the determination device 2500, but is not limited thereto.
  • the storage unit 2570 may be a memory of a server connected to a network, for example.
  • the CPU 2510 operates according to the control program of the sixth embodiment stored in the storage unit 2570, thereby performing a face position determination unit 2511, a posture determination unit 2512, a voice determination unit 2513, a reliability determination unit 2514, and a pulse It has a function with the measurement unit 2515.
  • a camera 2520, a microphone 2530, an angle sensor 2540, a display unit 2550, and a communication unit 2560 are respectively a camera 2120, a microphone 2130, an angle sensor 2140, a display unit 2150, and a communication in the fourth embodiment shown in FIG. It performs the same function as the unit 2160.
  • the face position determination unit 2311, the posture determination unit 2512, and the voice determination unit 2513 have the same functions as the face position determination unit 2111, the posture determination unit 2112, and the voice determination unit 2113 of the fourth embodiment illustrated in FIG.
  • the pulse measurement unit 2515 measures the pulse of the user 2000 by analyzing pigment information on the body surface in time series from a moving image including the face of the user 2000 taken by the camera 2520.
  • the pulse measuring unit 2515 measures the pulse of the user 2000, for example, according to the procedure shown in FIG.
  • the reliability determination unit 2514 performs the same function as the reliability determination unit 2114 (FIG. 20) of the fourth embodiment.
  • the reliability determination unit 2514 further receives the pulse measurement result transmitted from the sphygmomanometer 2200 (FIG. 3) via the communication unit 2560.
  • the reliability determination unit 2514 compares the pulse of the user 2000 measured by the pulse measurement unit 2515 with the pulse transmitted from the sphygmomanometer 2200, and determines whether or not the pulse wave intervals of the two match. To do.
  • the blood pressure measurement operation described in the fourth embodiment for example, is continued as normal processing. If the reliability determination unit 2514 determines that they do not match, the blood pressure measurement operation described in the fourth embodiment, for example, is stopped as an abnormal process.
  • FIG. 37 is a flowchart schematically showing the operation of the determination apparatus 2500 for identifying the person to be measured in the sixth embodiment.
  • the camera 2520 images the user 2000.
  • the face position determination unit 2511 acquires an image of the user 2000 captured by the camera 2520.
  • the face position determination unit 2511 extracts the face image of the user 2000 from the acquired image.
  • the face position determination unit 2511 notifies the posture determination unit 2512 of the position of the extracted face image.
  • the posture determination unit 2512 determines whether or not to detect the face image (for example, the face image 2152 of FIG. 23) at the notified position in the frame (for example, the frame 2151 of FIG. 23) displayed on the display unit 2550. If the position of the face image is within the frame (YES in step S2505), the process proceeds to step S2510. On the other hand, if the position of the face image is not within the frame (NO in step S2505), the process returns to step S2500 and the above steps are repeated.
  • the face image for example, the face image 2152 of FIG. 23
  • step S2510 posture determination unit 2512 instructs blood pressure monitor 2200 to start blood pressure measurement.
  • step S2515 the sound determination unit 2513 determines whether or not the exhaust sound of the cuff 2220 of the sphygmomanometer 2200 is detected from the sound acquired by the microphone 2530. If the exhaust sound of cuff 2220 is detected (YES in step S2515), the process proceeds to step S2520. On the other hand, if the exhaust sound of cuff 2220 is not detected (NO in step S2515), the process proceeds to step S2535.
  • the pulse measurement unit 2515 uses the time-series analysis of the pigment information on the body surface from the moving image including the face of the user 2000 extracted by the face position determination unit 2511 photographed by the camera 2520. The pulse of the person 2000 is measured. In step S2520, for example, the procedure shown in FIG. 10 is executed, and the pulse of the user 2000 is measured. The pulse measurement unit 2515 notifies the reliability determination unit 2514 of the measured pulse.
  • step S2525 the reliability determination unit 2514 receives the pulse from the sphygmomanometer 2200 via the communication unit 2560.
  • step S2530 the reliability determination unit 2514 compares the pulse wave of the pulse notified from the pulse measurement unit 2515 with the pulse wave of the pulse received from the sphygmomanometer 2200, and determines whether or not the intervals match. Determine. If the pulse wave interval notified from pulse measurement unit 2515 matches the pulse wave interval received from sphygmomanometer 2200 (YES in step S2530), the process proceeds to step S2540. On the other hand, if the pulse wave interval notified from pulse measurement unit 2515 does not match the pulse wave interval received from sphygmomanometer 2200 (NO in step S2530), the process proceeds to step S2535.
  • step S2535 the reliability determination unit 2514 stops blood pressure measurement as an abnormal process.
  • step S2540 the reliability determination unit 2514 continues to measure blood pressure as normal processing.
  • step S2540 for example, the processes after step S2106 in FIG. 24 may be executed.
  • the pulse measuring unit 2515 is used by analyzing the pigment information on the body surface in time series from the moving image including the face of the user 2000 photographed by the camera 2520.
  • the pulse of the person 2000 is measured, and the measurement result is notified to the reliability determination unit 2514.
  • the reliability determination unit 2514 receives the pulse measured by the sphygmomanometer 2200 via the communication unit 2560.
  • the reliability determination unit 2514 determines whether or not the pulse wave intervals between the pulse of the user 2000 and the pulse measured by the sphygmomanometer 2200 match. Therefore, according to the sixth embodiment, it can be reliably determined that the user 2000 photographed by the camera 2520 is the same as the measured person whose blood pressure is measured by the blood pressure monitor 2200.
  • the determination device 2100 (FIG. 20) of the fourth embodiment is used, but the determination device 2300 (FIG. 29) of the fifth embodiment may be used.
  • FIG. 38 is a block diagram schematically illustrating a configuration example of a system including a determination device and a server.
  • the determination apparatus 2100 and the server 2600 are connected to a network 2700 and configured to be able to communicate with each other.
  • the server 2600 is installed outside, for example, a medical institution or an insurance company.
  • the determination device 2100 (FIG. 20) of the fourth embodiment is connected to the server 2600, but the determination device 2300 (FIG. 29) of the fifth embodiment or the determination device of the sixth embodiment. 2500 (FIG. 36) may be connected to the server 2600.
  • the reliability determination unit 2114 further transmits the blood pressure measurement result and the determination result of the reliability determination unit 2114 via the communication unit 2160 to an external device such as the server 2600, a medical institution, or an insurance business. May be sent to the person. At this time, the presence / absence of transmission and information to be transmitted may be changed according to the determination result of the reliability determination unit 2114.
  • the reliability determination unit 2114 transmits personal identification information and measurement results in association with each other.
  • the reliability determination unit 2314 further sends the blood pressure measurement result and the determination result of the reliability determination unit 2314 through the communication unit 2360 to an external device such as the server 2600, a medical institution, It may be sent to the insurance company. At this time, the presence / absence of transmission and information to be transmitted may be changed according to the determination result of the reliability determination unit 2314. In addition, when personal authentication is performed, it is desirable that the reliability determination unit 2314 associates personal identification information with measurement results and transmits them.
  • the technology for inheriting personal authentication information by comparing biometric information among a plurality of measurement devices realized by the present disclosure is to link measurement data of a measurement device collected by a server without a personal authentication mechanism to an individual. Therefore, it is useful for accurately grasping and estimating the health state of the user. Moreover, the determination device of the present disclosure is useful for improving the reliability of a home blood pressure monitor, for example.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Cardiology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Computational Linguistics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Human Computer Interaction (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Vascular Medicine (AREA)
  • Ophthalmology & Optometry (AREA)
  • Signal Processing (AREA)
  • Physiology (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

Selon l'invention, à partir d'un premier dispositif de mesure apte à effectuer une authentification personnelle pour un utilisateur, des premières données vitales mesurées dans le premier dispositif de mesure et des informations d'identification personnelle concernant l'utilisateur pour lequel une authentification personnelle a été effectuée par le premier dispositif de mesure sont reçues. À partir d'un second dispositif de mesure différent du premier dispositif de mesure, des secondes données vitales mesurées dans le second dispositif de mesure sont reçues. Une première valeur indiquant un degré de correspondance entre des données de mesure de chaque type de mesure couramment compris dans les premières données vitales et les secondes données vitales est calculée. On détermine si la première valeur est supérieure à une première valeur seuil prédéterminée. Si la première valeur est supérieure à la première valeur seuil, les secondes données vitales sont identifiées comme étant les données de mesure pour l'utilisateur du premier dispositif de mesure pour lequel une authentification personnelle a été effectuée par le premier dispositif de mesure, et les secondes données vitales et les informations d'identification personnelle sont associées les unes aux autres et stockées dans une mémoire.
PCT/JP2017/026628 2016-07-28 2017-07-24 Procédé d'identification de sujet de mesure, système d'identification de sujet de mesure, procédé de détermination d'état de mesure de pression artérielle, dispositif de détermination d'état de mesure de pression artérielle et programme de détermination d'état de mesure de pression artérielle WO2018021215A1 (fr)

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CN201780012645.9A CN108712881A (zh) 2016-07-28 2017-07-24 被测定者确定方法、被测定者确定系统、血压的测定状态判定方法、血压的测定状态判定装置以及血压的测定状态判定程序
US16/185,214 US20190076064A1 (en) 2016-07-28 2018-11-09 Blood pressure measurement state determination method, blood pressure measurement state determining device, and recording medium

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JP2016148265 2016-07-28
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JP2016-151310 2016-08-01
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JP2017137633A JP2018023768A (ja) 2016-07-28 2017-07-14 被測定者特定方法、被測定者特定システム、血圧の測定状態判定方法、血圧の測定状態判定装置及び血圧の測定状態判定プログラム

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WO2022180890A1 (fr) * 2021-02-24 2022-09-01 株式会社日立製作所 Système d'authentification biométrique, terminal d'authentification et procédé d'authentification

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