JP2017209266A - Biomedical measurement device, biomedical measurement method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a biomedical measurement device which can change an item to be measured in a living body of a user, according to an activity which a user performs.SOLUTION: A biomedical measurement device acquires S1, acceleration data which indicates acceleration which acts according to a body motion of a user, then detects S2 an activity state of a user based on the acquired acceleration data. The biomedical measurement device determines (S3:YES, S4) an index to be measured, out of plural indexes indicating an activity of a living body of a user, according to the detected activity state of the user. The biomedical measurement device determines, as a measurement item, a number of steps, when the user is in a first state in which the user performs an activity in a non-sleep time, and determines a body motion number in a sleep time when the user is in a second state in which the user performs an activity in a sleep time. The biomedical measurement device performs S5, measurement of the determined measurement item, by comparing the acceleration indicated by the acceleration data, with the threshold according to the activity state.SELECTED DRAWING: Figure 9

Description

  The present invention relates to a technique for measuring a user's living body.

  Techniques for measuring information related to a user's living body have been conventionally proposed. Patent Document 1 detects a pressure caused by a living body propagating through a bedding by a sensor, and compares a measurement waveform indicating an output waveform of the sensor with a shape pattern of a reference waveform, thereby A technique for detecting a sleeping position is disclosed. Patent Document 2 discloses a technique for determining the posture state of a subject and performing measurement processing when the posture is appropriate for performing pulse wave information measurement processing.

JP 2006-263454 A JP 2014-171512 A

In the technique disclosed in Patent Document 1, the sleep state is determined as the object of measurement, and in the technique disclosed in Patent Document 2, the pulse wave information is determined as the object of measurement.
By the way, the item which should be measured regarding a biological body may differ with the activity which a user performs. For example, when measuring the number of steps, it is not necessary to perform the measurement until the user is sleeping. Moreover, when measuring the body movement which becomes an index of the depth of sleep, it is not necessary to perform the measurement until the user is awake. Also, it is a burden for the user to manually specify items to be measured.
This invention is made | formed in view of the situation mentioned above, and makes it one of the solution subjects to change the item which should be measured regarding a user's biological body according to the activity which the user performs.

  In order to solve the above-described problems, a living body measurement apparatus according to the present invention includes an activity state detection unit that detects a user's activity state, and a user's living body according to the activity state detected by the activity state detection unit. A determination unit that determines an index to be measured among a plurality of indicators that indicate activity, and a measurement unit that performs measurement on the index determined by the determination unit based on biological data representing the state of the living body of the user .

  In one aspect of the biological measurement apparatus of the present invention, the activity state detection unit may detect the activity state based on the biological data.

  In one aspect of the biological measurement apparatus of the present invention, the measurement unit compares the value of the biological data with a threshold value, and determines the index determined by the determination unit based on the biological data having a value exceeding the threshold value. Measurement may be performed, and the determination unit may determine the threshold according to the activity state detected by the activity state detection unit.

  In one aspect of this biological measurement apparatus, the activity state includes a first state and a second state in which the user's body movement is smaller than the first state, and the determination unit includes the activity state detection unit. When the first state is detected, the first threshold value may be determined, and when the second state is detected, the second threshold value may be determined to be smaller than the first threshold value.

  In one aspect of the biological measurement apparatus, the activity state detection unit compares the value of the biological data with a third threshold value that is smaller than the first threshold value and larger than the second threshold value. An activity state may be detected.

  In one aspect of the biological measurement apparatus of the present invention, a communication unit that communicates with an external electronic device, information received from the electronic device via the communication unit, or information according to a result measured by the measurement unit And a display unit for displaying.

  In one aspect of the biological measurement apparatus of the present invention, a notification control unit that controls whether or not to notify the user of information according to the activity state detected by the activity state detection unit may be provided.

It is a figure showing composition of system 1 concerning one embodiment of the present invention. It is a figure explaining the 1st state of an activity state of a user of living body measuring device. It is a figure explaining the 2nd state of an activity state of a user of living body measuring device. 1 is a block diagram showing a configuration of a biological measurement apparatus 10. FIG. It is a graph for demonstrating the detection method of the 1st state of the active state of the active state detection part 112. FIG. It is a graph for demonstrating the detection method of the 2nd state of the active state of the active state detection part 112. FIG. It is a graph for demonstrating the measuring method of the measurement item of the step count of the measurement part 114. FIG. It is a graph for demonstrating the measuring method of the body motion frequency at the time of sleep of the measurement part. It is a flowchart which shows the process which concerns on the measurement of a user's biological body which the biological measurement apparatus 10 performs. It is a flowchart which shows the display process which the bioinstrumentation apparatus 10 performs. It is a flowchart which shows the timer process which the bioinstrumentation apparatus 10 performs. It is a flowchart which shows the information notification process which the bioinstrumentation apparatus 10 performs. It is a block diagram which shows the structure of 10 A of biological measurement apparatuses which concern on the modification 1 of this invention. It is a block diagram which shows the structure of the biological measurement apparatus 10B which concerns on the modification 2 of this invention.

[Embodiment]
Hereinafter, the case where the biological measurement apparatus of the present invention is applied to a wristwatch-type wearable device will be described. In recent years, it is not uncommon for users to spend their daily lives wearing this type of wearable device. The living body measurement apparatus according to the present embodiment measures an index indicating the activity of the user's living body.

<A: Configuration of system 1>
FIG. 1 is a diagram illustrating a configuration of a system 1 according to the present embodiment.
The system 1 includes a biological measurement device 10 and an electronic device 20. The biological measurement apparatus 10 and the electronic device 20 are used by the same user. The biological measurement apparatus 10 includes a display unit 16 and a mounting unit 30 that is physically connected to the display unit 16. The mounting part 30 is a band-shaped member. The living body measuring apparatus 10 is worn by the user when the wearing unit 30 is wound around the user's arm. The biological measurement apparatus 10 communicates by connecting to the electronic device 20 wirelessly.

  The electronic device 20 is an external device viewed from the biological measurement apparatus 10 and is a smartphone here. The electronic device 20 has, for example, a function for making a call and a function for transmitting and receiving a message by e-mail, SNS (Social Networking Service), or the like. When the electronic device 20 receives an incoming call or receives a message, the electronic device 20 notifies the biometric device 10 to that effect.

2 and 3 are diagrams for explaining the activity state of the user of the biological measurement apparatus 10.
In this embodiment, a user's activity state is divided roughly into the state which performs the activity at the time of non-sleep, and the state which performs the activity at the time of sleep. Drawing 2 is a figure showing signs that a user walks as an illustration of activity at the time of non-sleep. For example, the user wears the biological measurement apparatus 10 and carries the electronic device 20 to walk. FIG. 3 is a diagram illustrating a state in which the user is sleeping. As an activity at the time of sleep, there is an activity accompanied by body movement that the user performs unconsciously, such as turning over. For example, the user wears the biological measurement apparatus 10 and places the electronic device 20 near the user to sleep.
Hereinafter, the activity state in which the non-sleep activity described in FIG. 2 is performed is referred to as a “first state”, and the activity state in which the sleep activity as illustrated in FIG. 3 is performed is referred to as a “second state”. . The user's body movement is smaller and the number of body movements per unit time is smaller in the “second state” than in the “first state”.

FIG. 4 is a block diagram illustrating a configuration of the biological measurement apparatus 10. The biological measurement apparatus 10 includes a CPU (Central Processing Unit) 11, an input unit 12, an acceleration sensor 13, a communication unit 14, a memory 15, a display unit 16, and a notification unit 17 as hardware resources. .
The CPU 11 controls each unit of the biological measurement apparatus 10. The CPU 11 has a function of measuring time. The input unit 12 receives input of information from the user. The input unit 12 includes, for example, a button and a touch sensor, and outputs a signal corresponding to the user's input operation to the CPU 11. The acceleration sensor 13 measures acceleration acting on the living body measurement apparatus 10 and outputs acceleration data representing the measured acceleration. An acceleration according to the user's body movement acts on the biological measurement apparatus 10. That is, the acceleration data is an example of biological data representing the state of the user's biological body. The acceleration sensor 13 is a triaxial acceleration sensor, for example, and measures acceleration at a predetermined time interval. The communication unit 14 communicates by connecting to the electronic device 20 wirelessly. The communication unit 14 includes a module for performing short-range wireless communication such as Bluetooth (registered trademark).

The memory 15 is a non-transitory recording medium, for example, and is preferably a semiconductor recording medium such as a RAM (Random Access Memory) or a ROM (Read Only Memory), but an optical recording medium or a magnetic recording medium. Any known recording medium such as a recording medium may be included. In this specification, “non-transitory” recording media include all computer-readable recording media except for transitory and propagating signals, and are volatile recording media. Is not excluded. The memory 15 of the present embodiment includes a semiconductor memory that stores data. The memory 15 includes, for example, a RAM that the CPU 11 uses as a work area and a ROM that stores the control program 151.
The memory 15 further stores step count data 152, sleep data 153, and timer data 154. The step count data 152 is data representing the number of steps and represents, for example, the number of steps in a predetermined time. The sleep data 153 is data representing the number of body movements during sleep, and represents, for example, the number of body movements during a predetermined time. The timer data 154 is data representing the set time in the timer process. The timer process is a process of notifying the user when the set time has arrived. The display unit 16 displays an image in the display area. The display unit 16 includes, for example, a liquid crystal display. The notification unit 17 notifies the user of information. The notification unit 17 includes, for example, a sound source that emits a notification sound, a vibrator that vibrates the biological measurement apparatus 10, and a light emitting element such as a light emitting diode.

The CPU 11 reads out and executes the control program 151, thereby functioning as the acquisition unit 111, the activity state detection unit 112, the determination unit 113, the measurement unit 114, the display control unit 115, and the notification control unit 116. Realize.
The acquisition unit 111 acquires acceleration data output from the acceleration sensor 13. The acquisition unit 111 supplies the acquired acceleration data to the activity state detection unit 112, the measurement unit 114, and the display control unit 115.

  The activity state detection unit 112 detects the activity state of the user. The activity state detection unit 112 notifies the determination unit 113 and the notification control unit 116 of the detected activity state. The activity state detection unit 112 detects the activity state of the user based on the acceleration data supplied from the acquisition unit 111. Specifically, the activity state detection unit 112 detects the activity state by comparing the acceleration Va represented by the acceleration data with a predetermined threshold value Varef3 (see FIGS. 5 and 6). The threshold value Varef3 is determined so that the “first state” and the “second state” can be distinguished. The acceleration Va represents the magnitude of the acceleration that has acted on the biological measurement apparatus 10. The acceleration Va is, for example, a value obtained by adding absolute values of accelerations in the three-axis directions, but may be a value obtained by another method. The threshold value Varef3 is an example of the third threshold value of the present invention.

5 and 6 are graphs for explaining a method of detecting the activity state of the user of the activity state detection unit 112. FIG. In the graphs of FIGS. 5 and 6, the horizontal axis represents time and the vertical axis represents acceleration Va. The acceleration Va is based on a state where there is no body movement of the user, and the amount of change in the value increases as the body movement increases.
Note that the temporal change in the acceleration Va may be specified by a moving average of the acceleration Va.

  FIG. 5 shows a state in which the activity state of the user changes from the “second state” to the “first state”. When the period during which the acceleration Va exceeds the threshold value Varef3 continues for the time TA, the activity state detection unit 112 detects the “first state” thereafter. In the period from the start time to time T11 shown in FIG. Therefore, the activity state detection unit 112 detects the “second state”. During the period from time T11 to time T12, the acceleration Va exceeds the threshold value Varef3, but the time TA has not elapsed since time T11. Therefore, the activity state detection unit 112 continues to detect the “second state”. The reason is that it is unknown whether the increase in the acceleration Va is caused by body movement after the user awakens or caused by body movement at the time of sleep such as turning over. It is. The condition that the acceleration Va not only exceeds the threshold value Varef3 but also continues for the time TA is the condition for detecting the change from the “second state” to the “first state”. It is possible to suppress the influence of the body movement caused by the movement on the detection of the active state. The activity state detection unit 112 detects the “first state” in a period after the time T12.

FIG. 6 shows how the user's activity state changes from the “first state” to the “second state”. When the period in which the acceleration Va is equal to or less than the threshold value Varef3 continues for the time TB, the activity state detection unit 112 detects the “second state” thereafter. During the period from the start time shown in FIG. 6 to time T21, the acceleration Va exceeds the threshold value Varef3. Therefore, the activity state detection unit 112 detects the “first state”. During the period from time T21 to time T22, the acceleration Va is equal to or less than the threshold value Varef3, but the time TB has not elapsed since time T21. Therefore, the activity state detection unit 112 continues to detect the “first state”. It is unclear whether the decrease in acceleration Va occurred due to the user falling asleep or because it was not asleep but due to a decrease in the user's body movement. That's why. Not only the acceleration Va becomes equal to or less than the threshold value Varef3, but the duration of time TB is used as a condition for detecting the change from the “first state” to the “second state”. The influence on the detection of the activity state by having been made can be suppressed. The activity state detection unit 112 detects the “second state” in a period after the time T22.
Note that the times TA and TB are predetermined lengths of time. Even during non-sleeping, there is a period during which the user does not move, so for example, it is determined to satisfy the relationship TB> TA.

Returning to FIG. The determining unit 113 determines an index to be measured among a plurality of indexes indicating the activity of the user's living body, according to the activity state detected by the activity state detecting unit 112.
The determination unit 113 notifies the measurement unit 114 of the determined index. The determining unit 113 measures the number of steps of the user when the “first state” is detected as the activity state, and measures the number of body movements during the sleep of the user when the “second state” is detected. Determine as. According to the determination unit 113, the index to be measured can be changed according to the activity performed by the user.

The process for determining the index to be measured includes a process for determining a threshold value for the acceleration Va. When the “first state” is detected, the determination unit 113 determines the threshold value as the threshold value Varef1, and when the “second state” is detected as the threshold value Varef2. As shown in FIGS. 5 and 6, the thresholds Varef1, Varef2, and Varef3 satisfy the relationship of Varref1>Vref3> Vref2.
The threshold value Varef3 is a criterion for determining whether the user is in the first state or the second state, while the threshold value Varef1 is that the user is in the first state. This is because it is a criterion for determining an activity with a large body movement (walking in this example). Thus, by adopting the threshold value Varef1 larger than the threshold value Varef3, it becomes possible to analyze the activity in the first state in detail.
Further, the reason that Varef3> Varef2 is set is that the threshold value Varef3 is a reference for determining whether the user is in the first state or the second state, while the threshold value Varef2 is that the user is in the second state. This is because it is a criterion for judging small body movements on the premise of certain things. As described above, by adopting the threshold value Varef2 smaller than the threshold value Varef3, it becomes possible to analyze the activity in the second state in detail.
Note that the threshold value Varef1 is an example of the first threshold value of the present invention, and the threshold value Varef2 is an example of the second threshold value of the present invention, and each is a predetermined value.

The measurement unit 114 measures the index determined by the determination unit 113 based on the acceleration data acquired by the acquisition unit 111. The measurement unit 114 includes a comparison unit 1141 and a count unit 1142.
The comparison unit 1141 compares the acceleration Va represented by the acceleration data supplied from the acquisition unit 111 with the threshold value determined by the determination unit 113. Specifically, the comparison unit 1141 compares the acceleration Va with the threshold value Varef1 when the activity state is “first state”, and compares the acceleration Va with the threshold value Varef2 when the activity state is “second state”. . The comparison unit 1141 generates a high-level pulse when the acceleration Va exceeds the threshold value Varef1 or Varef2. The counting unit 1142 counts high level pulses generated by the comparison unit 1141. In the case of the “first state”, the count unit 1142 uses the counted number of pulses as the number of steps of the user, and updates the step count data 152 stored in the memory 15. In the case of the “second state”, the count unit 1142 updates the sleep data 153 stored in the memory 15 with the counted number of pulses as the number of body movements during the sleep of the user.

7 and 8 are graphs for explaining a method of measuring each index of the measurement unit 114. FIG. In the graphs of FIGS. 7 and 8, the horizontal axis represents time, and the vertical axis represents acceleration Va.
FIG. 7 illustrates a method for measuring the number of steps in the first state. In this example, at time T31, the acceleration Va exceeds the threshold value Varef1 and shows a peak value. In this case, the comparison unit 1141 generates a high-level pulse at time T32 when the acceleration Va decreases to the threshold value Varef1 after the threshold value Varef1 is exceeded. The counting unit 1142 counts this pulse and adds “1” to the number of steps. Further, at time T34, the acceleration Va exceeds the threshold value Varef1 and shows a peak value. In this case, the comparison unit 1141 generates a high-level pulse at time T35 when the acceleration Va decreases to the threshold value Varef1 after the threshold value Varef1 is exceeded. The counting unit 1142 counts this pulse and adds “1” to the number of steps.

At time T33, the acceleration Va increases and shows a peak value. However, the acceleration Va at time T33 exceeds the threshold value Varef2, but is equal to or less than the threshold value Varef1. In this case, the comparison unit 1141 does not generate a high level pulse. When a human walks, it is usually accompanied by a relatively large body movement. For this reason, the increase in the acceleration Va at the time T33 is processed not as a change in acceleration caused by walking. Thus, when the activity state of the user is the “first state”, the measurement unit 114 is caused by a smaller body motion than the body motion associated with walking by being determined to be a relatively large threshold value Varef1. The number of steps of the user can be measured by excluding changes in acceleration.
In this example, a pulse is generated when the acceleration Va drops below the threshold value Varef1 after the acceleration Va exceeds the threshold value Varef1, but the comparison unit 1141 detects that the acceleration Va exceeds the threshold value Varef1 and outputs the pulse It may be generated.

FIG. 8 shows an example of a method for measuring the number of body movements in the second state. In this example, at time T41, the acceleration Va exceeds the threshold value Varef2, indicating a peak value. In this case, the comparison unit 1141 generates a high-level pulse at time T42 when the acceleration Va decreases to the threshold value Varef2 after the threshold value Varef2 is exceeded. The counting unit 1142 counts this pulse and adds “1” to the number of body movements during sleep. In addition, at time T43, the acceleration Va exceeds the threshold value Varef2, indicating a peak value. In this case, the comparison unit 1141 generates a high-level pulse at time T44 when the acceleration Va decreases to the threshold value Varef2 after the threshold value Varef2 is exceeded. The counting unit 1142 counts this pulse and adds “1” to the number of body movements during sleep. Thus, when the activity state of the user is the “second state”, the measurement unit 114 is determined to have a threshold value Varef2 that is smaller than the threshold value Varef1, so that the measurement unit 114 has a smaller body motion than the non-sleeping body motion. The number of body movements during sleep can be measured based on the change in acceleration caused by the.
In this example, a pulse is generated when the acceleration Va drops below the threshold value Varef2 after the threshold value Varef2 is exceeded. It may be generated.

Returning to FIG. 4, the description will be continued.
The display control unit 115 performs control to display an image on the display unit 16. The display control unit 115 performs display processing for displaying information related to the user's living body. The display process includes information for displaying information corresponding to the result measured by the measurement unit 114 based on the step count data 152 or the sleep data 153. Further, the display control unit 115 may display the current time.

  The notification control unit 116 notifies the user of information using one or both of the display unit 16 and the notification unit 17. The notification process related to the notification includes the timer process and the information notification process described above. The information notification process is a process for notifying the user of information when a notification of information is received from the electronic device 20 via the communication unit 14. The notification control unit 116 performs notification based on the timer process without depending on the activity state detected by the activity state detection unit 112. For the notification based on the information notification process, the notification control unit 116 controls whether the notification is possible according to the activity state detected by the activity state detection unit 112. Specifically, the notification control unit 116 permits notification in the “first state”, but prohibits notification in the “second state”.

<B: Operation of the biological measurement apparatus 10>
(B-1: Measurement of user's living body)
FIG. 9 is a flowchart illustrating processing related to measurement of a user's living body performed by the living body measuring apparatus 10. For example, the biological measurement apparatus 10 performs the process of FIG. 9 during a period in which the power supply is turned on or a period in which the control program 151 is executed.
The acquisition unit 111 acquires acceleration data from the acceleration sensor 13 (step S1). The activity state detection unit 112 detects the activity state of the user based on the acceleration Va represented by the acceleration data supplied from the acquisition unit 111 (step S2).

  Next, the determination unit 113 determines whether or not the activity state detected by the activity state detection unit 112 has changed (step S3). For example, when the determination unit 113 determines that the “second state” has changed to the “first state” (step S3; YES), the process proceeds to step S4. Next, the determination unit 113 determines an index to be measured according to the activity state detected by the activity state detection unit 112 (step S4). When the “first state” is detected, the determination unit 113 determines to use as an index for measuring the number of steps. The process of step S4 includes a process of determining a threshold value for the acceleration Va as a threshold value Varef1.

  The measuring unit 114 measures the index determined by the determining unit 113 based on the acceleration data acquired by the acquiring unit 111 (step S5). Here, the measurement unit 114 measures the number of steps of the user by comparing the acceleration Va and the threshold value Varef1. The measuring unit 114 updates the step count data 152 according to the measured number of steps.

  When the number of steps is measured in step S5, the biological measurement apparatus 10 returns the process to step S1. The biological measurement apparatus 10 repeatedly measures the number of steps during a period in which the user's activity state is the “first state”. During this period, the determination unit 113 determines that the activity state has not changed in step S3 (step S3; NO). Then, the measurement unit 114 measures the number of steps in step S5.

  Thereafter, it is assumed that the activity state detection unit 112 detects “second state” as the user activity state in step S2. In this case, the determination unit 113 determines that the activity state of the user has changed from the “first state” to the “second state” (step S3; YES), and proceeds to step S4. Next, the determination unit 113 determines an index to be measured according to the activity state detected by the activity state detection unit 112 (step S4). When the “second state” is detected, the determination unit 113 determines to use as an index for measuring the number of body movements. The process of step S4 includes a process of determining a threshold value for the acceleration Va as a threshold value Varef2.

  The measuring unit 114 measures the index determined by the determining unit 113 based on the acceleration data acquired by the acquiring unit 111 (step S5). Here, the measurement unit 114 measures the number of body movements of the user by comparing the acceleration Va and the threshold value Varef2. The measuring unit 114 updates the sleep data 153 according to the measured number of body movements.

  When the number of body movements during sleep is measured in step S5, the biological measurement apparatus 10 returns the process to step S1. The biological measurement apparatus 10 repeatedly measures the number of body movements during the period in which the activity state of the user is the “second state”. During this period, the determination unit 113 determines that the activity state has not changed in step S3 (step S3; NO). And the measurement part 114 measures the number of body movements at the time of sleep in step S5.

  As described above, the biological measurement apparatus 10 switches between the measurement of the number of steps and the measurement of the number of body movements according to the activity state of the user. Therefore, even if the index to be measured by the user is not specified, the biological measurement apparatus 10 measures the index corresponding to the user's activity state. The biometric device 10 also measures unnecessary information such as measuring the number of steps when the user is sleeping or measuring the number of body movements when the user is awake. You can avoid it. Furthermore, the biological measurement apparatus 10 determines a threshold value according to the activity state of the user, and performs measurement based on the acceleration Va exceeding the determined threshold value. In this way, since the threshold is determined based on the magnitude of the user's body movement associated with the activity, the measurement accuracy for each index is improved.

(B-2: Display processing)
FIG. 10 is a flowchart showing display processing performed by the biological measurement apparatus 10.
The display control unit 115 receives a display instruction (step S11). The display instruction indicates, for example, an instruction to display information according to the result measured by the measurement unit 114. The display control unit 115 receives this display instruction based on information input via the input unit 12 or information received from the electronic device 20 via the communication unit 14.

  Next, the display control unit 115 generates display data in accordance with the received display instruction (step S12). The display data is data for displaying information on the display unit 16. Here, the display control unit 115 generates display data based on the step count data 152 or the sleep data 153 stored in the memory 15. Examples of display data include data for displaying the number of steps per day or time, the number of body movements during sleep, sleep time, and the like.

  As another example of the display data, there is data for displaying the sleep depth obtained based on the number of body movements during sleep. The sleep depth is an index value of the depth of sleep. The sleep depth is roughly classified into REM sleep with shallow sleep and non-REM sleep with deep sleep. Non-REM sleep is further divided into four stages, and sleep becomes deeper in the order of the first stage, the second stage, the third stage, and the fourth stage. The shallower the sleep depth, the greater the number of body movements per unit time. Conversely, the deeper the sleep depth, the less the number of body movements per unit time. Therefore, the display control unit 115 may generate display data representing a temporal change in sleep depth based on, for example, the number of body movements per unit period.

The display control unit 115 displays information on the display unit 16 based on the generated display data (step S13).
Through the display process described above, the user can visually recognize the information displayed on the display unit 16 and grasp information related to his / her own living body.

(B-3: Notification process)
FIG. 11 is a flowchart showing timer processing performed by the biological measurement apparatus 10.
The notification control unit 116 sets the timer time (step S21). The notification control unit 116 sets the timer time based on information input via the input unit 12 or information received from the electronic device 20 via the communication unit 14. The time of the timer is set to, for example, a time when the user is going out or a time when the user is going to get up.

  Next, the notification control unit 116 determines whether or not the timer set time has arrived (step S22). For example, the notification control unit 116 measures the remaining time from the current time to the set time, and waits until the remaining time becomes zero (step S22; NO). When the notification control unit 116 determines that the set time has arrived (step S22; YES), the notification control unit 116 notifies the user to that effect by displaying information on the display unit 16 or operating the notification unit 17 (step S23). ). The notification control unit 116 does not depend on the activity state of the user, that is, regardless of whether the activity state of the user is the “first state” or the “second state”, the notification related to the timer process. I do. Thereby, for example, the user can grasp the time to go out when the activity state is “first state”, and can grasp the wake-up time when the activity state is “second state”.

FIG. 12 is a flowchart showing information notification processing performed by the biological measurement apparatus 10.
The notification control unit 116 determines whether a notification of information from the electronic device 20 has been received via the communication unit 14 (step S31). As an example of this notification, there is a notification that a call to the electronic device 20 or a message has been received. When it is determined that the notification of information from the electronic device 20 has not been accepted (step S31; NO), the notification control unit 116 ends the process of FIG.

  When it determines with having received the notification of the information from the electronic device 20 (step S31; YES), the alerting | reporting control part 116 determines whether the activity state which the activity state detection part 112 detected is a "1st state" ( Step S32). When the notification control unit 116 determines that the state is the “first state” (step S <b> 32; YES), the information related to the notification from the electronic device 20 is used by displaying information on the display unit 16 or operating the notification unit 17. The person is notified (step S33). As described above, when the activity state is the “first state”, the user visually recognizes the display on the display unit 16 and perceives the notification by the notification unit 17, so that the user can hear from the electronic device 20. Information related to notification can be grasped.

On the other hand, when it determines with a "2nd state" by step S32 (step S32; NO), the alerting | reporting control part 116 does not alert | report a user the information which concerns on the notification from the electronic device 20. FIG. The reason for prohibiting this notification is to prevent the user's sleep in the “second state” from being disturbed. That is, according to the information notification process, the display unit 16 is not turned on and the notification unit 17 is not activated, so that the user's sleep is not hindered by the notification in step S33.
Note that the notification control unit 116 may notify the information that has not been notified to the user after the activity state of the user has changed from the “first state” to the “second state”.

  As described above, the biological measurement apparatus 10 changes the condition of the user's activity state for reporting information between the timer process and the information notification process. Therefore, according to the biological measurement apparatus 10, the possibility of notifying the user at a timing when it is not appropriate to notify the user is reduced.

[Modification]
The present invention can be implemented in a form different from the above-described embodiment. The present invention can also be implemented in the following forms, for example. Further, the following modifications may be combined as appropriate.
<Modification 1>
The biological measurement apparatus of the present invention may perform display processing based on biological data other than acceleration data. An example of this biometric data is the user's pulse rate. Moreover, the display process of this modification includes a process of displaying the state of the user's biological body based on the biological data.
FIG. 13 is a block diagram showing a configuration of a biological measurement apparatus 10A according to this modification. The biological measurement apparatus 10 </ b> A includes a pulse sensor 18 in addition to the configuration of the biological measurement apparatus 10. The pulse sensor 18 measures the user's pulse rate and outputs pulse data representing the measured pulse rate. For example, the pulse sensor 18 is provided at a position in contact with the user's wrist when the biological measurement apparatus 10A is worn.

In the CPU 11, the acquisition unit 111 acquires the pulse data output from the pulse sensor 18 in addition to the acceleration data from the acceleration sensor 13. The acquisition unit 111 supplies the acquired pulse data to the display control unit 115. The display control unit 115 causes the display unit 16 to display information corresponding to the pulse rate represented by the pulse data. For example, the display control unit 115 causes the display unit 16 to display a temporal change in the pulse rate per unit of the user using a graph or a table. The display control unit 115 may separately display the pulse rate in the “first state” and the pulse rate in the “second state” on the display unit 16.
In addition to acceleration data and pulse data, data representing the state of the living body of the user, such as the amount of sweat, blood pressure, and body temperature, may be used as the biological data.

<Modification 2>
The biometric device of the present invention may be applied to electronic devices other than wristwatch-type wearable devices. The biological measurement apparatus of the present invention may be applied to, for example, an electronic device that does not include a display unit. Examples of such electronic devices include wristband type and clip type wearable devices.
FIG. 14 is a block diagram showing a configuration of a biological measurement apparatus 10B according to this modification. Unlike the biological measurement apparatus 10, the biological measurement apparatus 10 </ b> B does not include the display unit 16 and the notification unit 17. Further, the CPU 11 does not realize the display control unit 115 and the notification control unit 116. The memory 15 does not store timer data 154. In this case, the result data measured by the measurement unit 114 is transmitted to the electronic device 20 via the communication unit 14 by the function of the CPU 11, for example.

<Modification 3>
The activity state detection unit 112 may detect the activity state of the user without using the biometric data of the user. For example, the user previously sets the bedtime and the wake-up time in the biological measurement apparatus 10 using the input unit 12 and the electronic device 20. The activity state detection unit 112 detects the activity state of the user as the “second state” during the period from the set bedtime to the wake-up time, and the “first state” during the other periods. Is detected.
The user may set one of the bedtime and the wake-up time in the biometric device 10. When the bedtime is set, the activity state detection unit 112 detects the “second state” based on the set bedtime, and detects the “first state” based on the acceleration Va. When the wake-up time is set, the activity state detection unit 112 detects the “first state” based on the set wake-up time, and detects the “second state” based on the acceleration Va.

<Modification 4>
The activity state detection unit 112 may detect the activity state of the user using the threshold value Varef1 or the threshold value Varef2 instead of the threshold value Varef3.

<Modification 5>
The activity state detection unit 112 may not detect the entire period from time T11 to time T12 described in FIG. 5 as the “second state”. If the activity state detection unit 112 determines that the state has changed from the “second state” to the “first state” at the time T12, the activity state detection unit 112 goes back to any point in the period from the time T11 to the time T12, and thereafter , “The first state” may be detected. Similarly, the activity state detection unit 112 may not detect the entire period from time T21 to time T22 described in FIG. 6 as the “first state”. If the activity state detection unit 112 determines that the state has changed from the “first state” to the “second state” at time T22, the activity state detection unit 112 goes back to any time point belonging to the period from time T21 to T22, and thereafter , “Second state” may be detected.

<Modification 6>
The index indicating the biological activity of the user is not limited to the number of steps or the number of body movements during sleep. The index indicating the biological activity may be any as long as it indicates the biological activity. For example, it may be a user's calorie consumption or a travel distance (walking distance, travel distance).
Furthermore, the indicator may indirectly indicate the activity of the living body. Such indices include heart rate and respiratory rate.
Further, the determination unit 113 may determine two or more indices according to one activity state.

<Modification 7>
A user's activity state should just be classified into two or more states according to the magnitude of the user's body movement accompanying an activity. For example, you may subdivide the state which performs the activity at the time of non-sleep. In this case, the activity state detection unit 112 “walking state” indicating that the user is walking, or “stationary state” indicating that the user is not sleeping but is still (eg, resting). May be detected. In this case, the “walking state” can be grasped as an example of the first state of the present invention, and the “still state” can be grasped as an example of the second state of the present invention. In this case, the determination unit 113 may use the number of steps and calorie consumption as measurement items in the “walking state”, and may use calorie consumption as the measurement item without using the number of steps as the measurement item in the “still state”.

<Modification 8>
The hardware configuration of the biological measurement apparatus of the present invention is not limited to the hardware configuration described above. The living body measurement device may have any hardware configuration as long as the required function can be realized. For example, a sensor such as a vibration sensor, a gyro sensor, or a pressure sensor may be used as a sensor for measuring a user's body movement.
In addition, the electronic device with which the biological measurement apparatus of the present invention communicates may be an electronic device other than a smartphone, such as a personal computer.

  The function realized by the CPU 11 of the biological measurement apparatus 10 can be realized by a combination of a plurality of programs or can be realized by linking a plurality of hardware resources. When the function of the CPU 11 is realized using a program, the program is provided in a state of being stored in a computer-readable recording medium such as various magnetic recording media, optical recording media, magneto-optical recording media, and semiconductor memories. Also good. Moreover, this program may be distributed via a network. Moreover, this invention can also be grasped | ascertained as a biological measurement method which performs the measurement regarding a user's biological body.

DESCRIPTION OF SYMBOLS 1 ... System 10, 10A, 10B ... Terminal device, 11 ... CPU, 111 ... Acquisition part, 112 ... Activity state detection part, 113 ... Determination part, 114 ... Measurement part, 1141 ... Comparison part, 1422 ... Counter, 115 ... Display control unit 116 ... Notification control unit 12 ... Input unit 13 ... Acceleration sensor 14 ... Communication unit 15 ... Memory 151 ... Control program 152 ... Step count data 153 ... Sleep data 154 ... Timer data 16 ... display part, 17 ... notification part, 20 ... electronic device, 30 ... mounting part.

Claims (8)

An activity state detection unit for detecting a user's activity state;
A determination unit that determines an index to be measured among a plurality of indexes indicating the activity of a user's biological body according to the activity state detected by the activity state detection unit;
A biological measurement apparatus comprising: a measurement unit that performs measurement on the index determined by the determination unit based on biological data representing the state of the user's biological body. The activity state detector
The living body measurement apparatus according to claim 1, wherein the activity state is detected based on the living body data. The measuring unit is
Compare the value of the biometric data and a threshold, based on the biometric data of a value exceeding the threshold, measure the index determined by the determination unit,
The determination unit
The living body measuring apparatus according to claim 1 or 2, wherein the threshold value is determined according to the activity state detected by the activity state detection unit. The activity state includes a first state and a second state in which the user's body movement is smaller than the first state,
The determination unit
When the activity state detection unit detects the first state, it is determined as a first threshold value, and when the second state is detected, it is determined as a second threshold value that is smaller than the first threshold value. The biological measurement apparatus according to claim 3. The activity state detector
The activity state is detected by comparing a value of the biometric data with a third threshold value that is smaller than the first threshold value and larger than the second threshold value. Biological measuring device. A communication unit that communicates with an external electronic device;
6. The display device according to claim 1, further comprising: a display unit configured to display information received from the electronic device via the communication unit or information according to a result measured by the measurement unit. The biological measuring device according to item. 7. The information processing apparatus according to claim 1, further comprising: a notification control unit that controls whether to notify the user of information according to the activity state detected by the activity state detection unit. The living body measuring device according to 1. Detect user activity,
In accordance with the detected activity state, an index to be measured is determined from among a plurality of indices indicating the biological activity of the user,
Based on the biological data representing the state of the user's biological body, measure the determined index,
Biological measurement method.

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