JP2019115505A - Information processor, information processing method and information processing program - Google Patents

Abstract

To provide a technology for acquiring biological data classified by the state, by measurement support of the biological data corresponding to the state (event).SOLUTION: An information processor includes a support signal output part 1032 for outputting a support signal relative to measurement of biological data on the basis of schedule data M, an organism-related data management part 1034 for managing organism-related data obtained by correlating biological data acquired based on output of the support signal with an event included in the schedule data, and an organism-related data output part 1035 for outputting the organism-related data.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

  BACKGROUND In recent years, wearable biological information measuring devices capable of easily measuring biological information such as blood pressure data anywhere have been developed. Patent Document 1 discloses a wearable sphygmomanometer that starts measurement of blood pressure data in response to an operation input.

  With such a wearable sphygmomanometer, blood pressure data can be easily measured in various situations. For example, blood pressure data can be measured and recorded at various locations, such as at home or at work, and blood pressure data can be measured and recorded at various times, including on the go. Blood pressure data measured in these various situations are used for health care and the like.

JP, 2017-023546, A

  Many people feel stressed or relax depending on the situation. For example, you may feel stressed at meetings or relax at home. Also, one meeting may feel stressed and another may not feel stressed. These situations are known to contribute to blood pressure fluctuations. If blood pressure data can be measured in a situation where blood pressure fluctuation is likely to occur, the tendency of blood pressure fluctuation etc. can be known. In health management, there is a demand to capture such blood pressure fluctuation.

  Generally, since the timing of measurement of blood pressure data is left to the judgment of the user, the user can measure blood pressure data according to the situation by selecting the timing of measurement of blood pressure data. However, such selection of timing is not only a burden on the user, but it is also concerned that the selection of timing may be forgotten. For this reason, there is a demand for a technique for acquiring biological data according to conditions by supporting measurement of biological data such as blood pressure data according to the condition (event).

  The present invention, in one aspect, has been made in view of such circumstances, and an object thereof is to provide a technique for acquiring biometric data according to situations by supporting the measurement of biometric data according to situations (events) It is to be.

An information processing apparatus according to a first aspect of the present invention includes a support signal output unit that outputs a support signal related to measurement of biological data based on schedule data; biological data acquired based on the output of the support signal; and the schedule data And a biorelevant data output unit for managing biorelevant data managing the biorelevant data associated with an event included in the data; and outputting the biorelevant data.
According to the information processing apparatus of the first aspect, it is possible to support the measurement of the biological data according to the event included in the schedule data by outputting the support signal related to the measurement of the biological data based on the schedule data. This makes it possible to reduce leakage of measurement of biological data according to the event. Further, it is possible to provide event-based biometric data by outputting biometric related data in which the biometric data acquired based on the output of the support signal and the event are associated with each other. Thereby, biometric data corresponding to the event can be notified. That is, the person to be measured can easily know what kind of biological data was measured at what kind of event.

In the information processing apparatus according to the second aspect of the present invention, in addition to the first aspect, the living body related data managing unit manages the living body related data including living body data classified by classification of the event.
According to the information processing apparatus of the second aspect, in addition to the first aspect, providing biometric data classified by event by outputting biometric related data including biometric data classified by event. Can. Thereby, biometric data according to the classification of the event can be notified. That is, the subject etc. can easily know what kind of event data was measured by what kind of event classification.

In the information processing apparatus according to the third aspect of the present invention, in addition to the second aspect, the living body related data management unit further includes the living body related data including information indicating a tendency of living body data classified by classification of the event. Manage
According to the information processing apparatus of the third aspect, in addition to the second aspect, the living body-related data classified as including the information representing the tendency of the biological data classified according to the classification of the event Information can be provided that represents the trend of the data. Thereby, it is possible to notify information representing the tendency of the biometric data according to the classification of the event. In other words, the subject or the like can easily know what kind of event classification and what kind of biological data tend to be.

In the information processing apparatus according to the fourth aspect of the present invention, in addition to any one of the first to third aspects, the support signal further includes a measurement trigger signal instructing measurement of biological data.
According to the information processing apparatus of the fourth aspect, in addition to any one of the first to third aspects, the support signal based on the schedule data further includes a measurement trigger signal instructing measurement of biological data. Thus, biological data can be measured according to the event.

The information processing apparatus according to the fifth aspect of the present invention further includes, in addition to the fourth aspect, a measurement unit that measures biological data based on the measurement trigger signal.
According to the information processing apparatus of the fifth aspect, in addition to the fourth aspect, biological data can be measured according to an event by the measurement trigger signal. As a result, biological data corresponding to an event can be acquired more reliably, which can contribute to improvement in accuracy of analysis of biological data for each event.

In the information processing apparatus according to the sixth aspect of the present invention, in addition to any one of the first to fifth aspects, the support signal further includes a measurement guide signal for guiding measurement of biological data based on the event. .
According to the information processing apparatus of the sixth aspect, in addition to any one of the first to fifth aspects, the support signal based on the schedule data further includes a measurement guide signal for guiding the measurement of the biological data. By this, it is possible to guide in advance the measurement of biological data according to the event included in the schedule data.

In the information processing apparatus according to the seventh aspect of the present invention, in addition to the first aspect, the support signal output unit further includes, as the support signal, a measurement guide signal for guiding measurement of biological data based on the event. The measurement trigger signal is output to the guidance output unit and a measurement trigger signal instructing measurement of biological data after a predetermined time has elapsed is output to the measurement unit.
According to the information processing apparatus of the seventh aspect, in addition to the first aspect, information for guiding measurement of biological data according to an event can be output by the measurement guide signal, and a predetermined time has elapsed The measurement trigger signal later makes it possible to start measurement of biological data according to the event. By guiding the measurement of biological data in advance, it is possible to reduce the fluctuation of the subject (user) due to the measurement of biological data. There is a possibility that the measurement of the biological data suddenly gives up the person to be measured, and in such a case, there is a possibility that the measurement accuracy of the biological data may be reduced. Can be prevented.

The information processing apparatus according to the eighth aspect of the present invention further includes, in addition to the seventh aspect, a guidance output unit for outputting information for guiding measurement of biological data based on the measurement guidance signal.
According to the information processing apparatus of the eighth aspect, in addition to the seventh aspect, information for guiding measurement of biological data according to an event can be output by a measurement guidance signal, and according to the event It is possible to reduce the fluctuation of the subject (user) by measuring the biological data. There is a possibility that the measurement of the biological data suddenly gives up the person to be measured, and in such a case, there is a possibility that the measurement accuracy of the biological data may be reduced. Can be prevented.

In the information processing method according to a ninth aspect of the present invention, a support signal output process for outputting a support signal related to measurement of biological data based on schedule data, biological data acquired based on an output of the support signal, and the schedule data And a biorelevant data management process for managing biorelevant data associated with an event included in the data, and a biorelevant data output process for outputting the biorelevant data.
According to the information processing method of the ninth aspect, the same effect as that of the first aspect can be obtained.

A tenth information processing program according to the present invention causes a computer to function as each unit included in the information processing apparatus according to any one of the first to eighth aspects.
According to the information processing program of the tenth aspect, it is possible to obtain the same effect as any one of the first to eighth aspects.

  According to the present invention, it is possible to provide a technique for acquiring biometric data according to circumstances by supporting measurement of biometric data according to the circumstances (events).

The figure which shows typically the application example of the information processing system which concerns on this embodiment. BRIEF DESCRIPTION OF THE DRAWINGS The conceptual diagram which illustrates the information processing system containing the information processing apparatus and information communication apparatus which concern on this embodiment. BRIEF DESCRIPTION OF THE DRAWINGS The figure which shows an example of the external view which shows schematic structure of the information processing apparatus which concerns on this embodiment. FIG. 2 is a view schematically showing an example of the hardware configuration of the information processing apparatus according to the embodiment. FIG. 6 is a view showing a cross section perpendicular to the left wrist which is a measurement target part in the mounting state of the information processing apparatus according to the embodiment. FIG. 2 is a view schematically showing an example of the software configuration of the information processing apparatus according to the embodiment. The figure which shows the 1st example of the biological body related data which concern on this embodiment. The figure which shows the 2nd example of the biological body related data which concern on this embodiment. FIG. 2 is a view schematically showing an example of the hardware configuration of the information communication apparatus according to the embodiment. FIG. 2 is a view schematically showing an example of the software configuration of the information communication apparatus according to the embodiment. 6 is a flowchart illustrating an example of an output processing operation of biometric data by event performed by the information processing apparatus according to the embodiment. 6 is a flowchart showing an example of analysis operation of trend of biological data classified by event by the information processing apparatus according to the embodiment.

  Hereinafter, an embodiment according to one aspect of the present invention (hereinafter, also referred to as “the present embodiment”) will be described based on the drawings. However, the embodiment described below is merely an illustration of the present invention in all respects. It goes without saying that various improvements and modifications can be made without departing from the scope of the present invention. That is, in the implementation of the present invention, a specific configuration according to the embodiment may be appropriately adopted. In the present embodiment, signals appearing in the present embodiment are described in natural language, but more specifically, they are specified in pseudo language, command, parameter, machine language or the like that can be recognized by a computer.

Hereinafter, elements which are the same as or similar to the already described elements are denoted by the same or similar reference numerals, and redundant descriptions will be basically omitted.
1 1 Application Example First, one application example of the present invention will be described with reference to FIG. FIG. 1 is a view schematically showing an application example of the information processing system according to the present embodiment. As shown in FIG. 1, the information processing system includes an information processing device 1 and an information communication device M.

  The information processing apparatus 1 is biological data including at least one of blood pressure data, body temperature data, blood sugar data, heart rate, respiration rate, and percutaneous arterial blood oxygen saturation (hereinafter referred to as “biological data” or “blood pressure data, etc. (Also referred to as “biological data including“ a) ”, and stores or displays the biological data measured by the measurement unit, and transmits the data to the outside. Further, the information communication apparatus M is a mobile information terminal such as a smartphone or a tablet. For example, the information communication apparatus M stores a schedule management application program, generates schedule data in response to a schedule input operation from the user by executing the schedule management application program, and stores the generated schedule data. , Display, send to the outside.

  For example, schedule data includes a plurality of events. For example, the event includes event information such as a start date and time, an end date and time, an attribute, and a name. The event included in the schedule data may include event identification information.

  The information processing apparatus 1 includes at least a schedule data acquisition unit 1031, a schedule data management unit 1032, a measurement unit 1033, a living body related data managing unit 1034, and a living body related data input / output unit 1035.

  The schedule data acquisition unit 1031 acquires schedule data transmitted from the information communication apparatus M.

  The schedule data management unit 1032 detects an event included in the schedule data, and classifies the event into a plurality of groups based on at least one of event information such as start date and time, end date and time, attribute, and name included in the event. , Generate classification information in association with each event. Further, the schedule data management unit 1032 outputs a support signal related to measurement of biological data including blood pressure data and the like based on the start date and time (occurrence of an event) included in the event information, and detects the detected event (that is, measurement of biological data). Output events related to Alternatively, the schedule data includes data measurement timing corresponding to the start date and time included in the event information, and the schedule data management unit 1032 detects the data measurement timing and outputs the support signal based on the data measurement timing. Good. For example, the support signal includes a measurement trigger signal that indicates measurement (start) of biological data including blood pressure data and the like. In addition, the support signal may include a measurement guide signal that guides measurement of biological data including blood pressure data and the like based on an event. For example, the measurement guide signal is information for guiding the measurement of biological data. The measurement guidance signal will be described in detail later. Thus, the schedule data management unit 1032 functions as a support signal output unit.

  The measurement unit 1033 receives the support signal output from the schedule data management unit 1032, starts measurement of biological data based on the measurement trigger signal included in the support signal, acquires biological data, and outputs the acquired biological data. Do.

  The living body related data managing unit 1034 receives the living body data output from the measuring unit 1033 and the event output from the schedule data managing unit 1032, and manages living body related data in which the living body data and the event are associated with each other. Further, the living body related data management unit 1034 may classify living body data according to event classification, and manage living body related data including living body data according to the event classification. Further, the living body related data management unit 1034 may analyze living body data classified by event classification, and manage living body related data including information indicating a tendency of living body data classified by event classification.

  The living body related data input / output unit 1035 receives the living body related data output from the living body related data management unit 1034 and outputs the living body related data to the storage unit or the display unit. Thus, the living body related data input / output unit 1035 functions as a living body related data output unit.

  As described above, the information processing apparatus 1 can support the measurement of the biological data according to the situation such as the start date and time of the event by the output of the support signal related to the measurement of the biological data based on the event included in the schedule data. This makes it possible to reduce leakage of measurement of biological data according to the event. Further, biological data for each event can be provided by outputting biological related data in which biological data obtained based on the output of the support signal and the event are associated with each other. Thereby, biometric data corresponding to the event can be notified. That is, the person to be measured can easily know what kind of biological data was measured at what kind of event.

22 Configuration example
<Information processing system>
An example of the information processing system according to the present embodiment will be described with reference to FIG. FIG. 2 is a conceptual diagram illustrating an information processing system including the information processing device 1 and the information communication device M according to the present embodiment.

The information processing apparatus 1 is a wristwatch type wearable device, and is an apparatus capable of wireless communication such as Bluetooth (registered trademark), mobile communication (3G, 4G, etc.), and WLAN. The information processing apparatus 1 also has a measurement function as a measurement unit that measures biological data.
The information communication apparatus M is a mobile information terminal such as a smartphone or a tablet, and is an apparatus capable of wireless communication such as Bluetooth, mobile communication (3G, 4G, etc.) and WLAN.
The server S is a server that manages biometric data and the like of a large number of users. For example, the server S is an apparatus capable of wireless communication such as WLAN.

  For example, the information communication apparatus M generates schedule data in response to an input operation of schedule data from a user, transmits the schedule data to the information processing apparatus 1, or processes schedule data via the network NW and the server S. Send to device 1 The information processing apparatus 1 receives schedule data transmitted from the information communication apparatus M or the server S, measures biological data including blood pressure data and the like based on the occurrence of an event included in the schedule data, and associates the event and the biological data. Manage bio-related data. Further, the information processing apparatus 1 may classify biometric data according to event classification, and output biometric related data including biological data according to event classification. Furthermore, the information processing apparatus 1 may analyze biological data classified by event and output biological related data including information indicating a tendency of biological data classified by event. The information processing apparatus 1 transmits, to the server S, biometric related data together with identification information of the user. The server S manages biometric related data (from a large number of users) from a large number of information processing apparatuses 1.

<Information processing device>
[Hardware configuration]
Next, an example of the appearance of the information processing apparatus 1 according to the present embodiment will be described with reference to FIG. FIG. 3 is a view showing an example of an external view showing a schematic configuration of the information processing apparatus 1 according to the present embodiment.
As shown in FIG. 3, the information processing apparatus 1 is a wristwatch type wearable device. The information processing apparatus 1 includes a measurement function as a measurement unit that measures various types of biological data, and further includes various information processing functions. The information processing function includes, for example, an activity measurement function, a step count measurement function, a sleep state measurement function, and an environment (temperature and humidity) measurement function. The information processing apparatus 1 performs blood pressure data etc. based on, for example, an input operation of an instruction to start measurement of biological data including blood pressure data etc. by the subject, or a measurement trigger signal generated autonomously by the information processing apparatus 1. It is biometric data measuring devices, such as a sphygmomanometer of the type which starts measurement of the biometric data containing. In the following description, measurement of blood pressure data included in biological data by the information processing apparatus 1 will be mainly described.
The information processing apparatus 1 includes a main body 10, a belt 20, and a cuff structure 30.

The configuration of the main body 10 will be described.
The main body 10 is configured to be able to mount a plurality of elements such as elements of a control system of the information processing apparatus 1.
The main body 10 includes a case 10A, a glass 10B, and a back cover 10C.
The case 10A has, for example, a substantially short cylindrical shape. The case 10A is provided with a pair of projecting lugs for attaching the belt 20 at two places on its side.
The glass 10B is attached to the top of the case 10A. The glass 10B is, for example, circular.
The back lid 10C is detachably attached to the lower portion of the case 10A so as to face the glass 10B.

The main body 10 includes a display unit 101 and an operation unit 102.
The display unit 101 displays various information. The display unit 101 is provided in the main body 10 and at a position where the subject can visually recognize via the glass 10B. The display unit 101 is, for example, an LCD (Liquid Crystal Display). The display unit 101 may be an organic EL (Electro Luminescence) display. The display part 101 should just be equipped with the function which displays various information, and is not limited to these. The display unit 101 may include an LED (Light Emitting Diode).

  The operation unit 102 is an element for inputting various instructions to the information processing apparatus 1. The operation unit 102 is provided on the side surface of the main body 10. The operation unit 102 includes, for example, one or more push switches. The operation unit 102 may be a pressure-sensitive (resistive) or proximity (capacitive) touch panel switch. The operation unit 102 only needs to have a function of inputting various instructions to the information processing apparatus 1, and is not limited thereto.

An example of a switch provided in the operation unit 102 will be described.
The operation unit 102 includes a measurement switch for instructing start or stop of measurement of biological data. In addition, the operation unit 102 is a home switch for returning the display screen of the display unit 101 to a predetermined home screen, and a recording call switch for causing the display unit 101 to display measurement records such as past biometric data and activity amounts. May be provided.

  The main body 10 is mounted with a plurality of elements other than the display unit 101 and the operation unit 102. The several element which the main body 10 mounts is mentioned later.

The configuration of the belt 20 will be described.
The belt 20 is configured to be able to wrap around the measurement target portion (for example, the left wrist) of the person to be measured. The width direction of the belt 20 is taken as the X direction. The direction in which the belt 20 surrounds the measurement site is taken as the Y direction.
The belt 20 includes a first belt portion 201, a second belt portion 202, a tail lock 203, and a belt holding portion 204.

  The first belt portion 201 is in the shape of a strip extending from the main body 10 in one direction (right side in FIG. 3). A root portion 201 a of the first belt portion 201 close to the main body 10 is rotatably attached to a pair of lugs of the main body 10 via a connecting rod 401.

  The second belt portion 202 is in the form of a belt extending from the main body 10 to the other side (left side in FIG. 3). A root portion 202 a of the second belt portion 202 near the main body 10 is rotatably attached to a pair of lugs of the main body 10 via a connecting rod 402. A plurality of small holes 202 c are formed in the thickness direction of the second belt portion 202 between the root portion 202 a of the second belt portion 202 and the tip portion 202 b far from the main body 10.

The tail lock 203 is configured to be able to fasten the first belt portion 201 and the second belt portion 202. The tail lock 203 is attached to the distal end portion 201 b of the first belt portion 201 which is far from the main body 10. The tail lock 203 includes a frame body 203A, a stick 203B, and a connecting rod 203C.
The frame-like body 203A and the stick 203B are rotatably attached to the leading end portion 201b of the first belt portion 201 via a connecting rod 203C. The frame body 203A and the stick 203B are made of, for example, a metal material. The frame 203A and the stick 203B may be made of a plastic material. At the time of fastening of the first belt portion 201 and the second belt portion 202, the leading end portion 202b of the second belt portion 202 is passed through the frame-like body 203A. The sticking rod 203B is inserted into any one of the plurality of small holes 202c of the second belt portion 202.

  The belt holding portion 204 is attached between the root portion 201 a and the tip end portion 201 b of the first belt portion 201. When the first belt portion 201 and the second belt portion 202 are fastened, the leading end portion 202 b of the second belt portion 202 is passed through the belt holding portion 204.

The configuration of the cuff structure 30 will be described.
The cuff structure 30 is configured to be able to compress a measurement site when measuring blood pressure data.
The cuff structure 30 is a strip extending along the Y direction. The cuff structure 30 is opposed to the inner peripheral surface of the belt 20. One end 30 a of the cuff structure 30 is attached to the main body 10. The other end 30 b of the cuff structure 30 is a free end. For this reason, the cuff structure 30 can be separated from the inner circumferential surface of the belt 20.
The cuff structure 30 includes a curler 301, a pressure cuff 302, a back plate 303, and a sensing cuff 304.

  The curler 301 is disposed at the outermost periphery of the cuff structure 30. In the natural state, the curler 301 is curved along the Y direction. The curler 301 is a resin plate having predetermined flexibility and hardness. The resin plate is made of, for example, polypropylene.

  The pressing cuff 302 is disposed along the inner circumferential surface of the curler 301. The pressure cuff 302 is in the form of a bag. Attached to the pressure cuff 302 is a flexible tube 501 (shown in FIG. 2). The flexible tube 501 is an element for supplying a fluid for pressure transmission (hereinafter, also simply referred to as “fluid”) from the main body 10 side or discharging the fluid from the pressure cuff 302. The fluid is, for example, air. When fluid is supplied to the pressure cuff 302, the pressure cuff 302 expands and compresses the measurement site.

  The pressing cuff 302 may include, for example, two fluid bags stacked in the thickness direction. Each fluid bag is made of, for example, a stretchable polyurethane sheet. As fluid is supplied to the pressure cuff 302, fluid flows into each fluid bladder. As each fluid bag is inflated, the pressure cuff 302 is inflated.

The back plate 303 is disposed along the inner circumferential surface of the pressing cuff 302. The back plate 303 is band-shaped. The back plate 303 is made of, for example, a resin. The resin is, for example, polypropylene. The back plate 303 functions as a reinforcing plate. For this reason, the back plate 303 can transmit the pressing force from the pressing cuff 302 to the entire area of the sensing cuff 304.
On the inner and outer peripheral surfaces of the back plate 303, a plurality of V-shaped or U-shaped grooves extending in the direction X are provided parallel to and spaced from each other in the direction Y. Since the back plate 303 is easily bent, the back plate 303 does not prevent the cuff structure 30 from bending.

  The sensing cuff 304 is disposed along the inner circumferential surface of the back plate 303. The sensing cuff 304 is in the form of a bag. The sensing cuff 304 includes a first sheet 304A (shown in FIG. 3) and a second sheet 304B (shown in FIG. 3) facing the first sheet 304A. The first sheet 304A corresponds to the inner circumferential surface 30c of the cuff structure 30. Therefore, the first sheet 304A is in contact with the measurement site. The second sheet 304 B faces the inner circumferential surface of the back plate 303. The first sheet 304A and the second sheet 304B are, for example, stretchable polyurethane sheets. Attached to the sensing cuff 304 is a flexible tube 502 (shown in FIG. 2). The flexible tube 502 is an element for supplying fluid to the sensing cuff 304 or discharging fluid from the sensing cuff 304.

Next, the several element which the main body 10 mounts is demonstrated.
FIG. 4 is a view schematically showing an example of the hardware configuration of the information processing apparatus 1 according to the present embodiment.
In addition to the display unit 101 and the operation unit 102 described above, the main body 10 includes a control unit 103, a storage unit 104, an acceleration sensor 105, a temperature and humidity sensor 106, an air pressure sensor 107, a communication unit 108, and a GPS ( (Global Positioning System) receiver 109, battery 110, first pressure sensor 111, second pressure sensor 112, pump drive circuit 113, pump 114, and on-off valve 115 are mounted.

  The control unit 103 includes a central processing unit (CPU), a random access memory (RAM), a read only memory (ROM), and the like. The CPU is an example of a processor. The CPU develops a part or all of the program stored in at least one of the ROM and the storage unit 104 in the RAM, and interprets and executes these programs. Thus, the control unit 103 can execute various information processing, for example, the processing of the functional block described in the item of the software configuration.

  Further, the control unit 103 sends the data acquired from the acceleration sensor 105, the temperature and humidity sensor 106, the pressure sensor 107, the communication unit 108, the GPS receiver 109, the first pressure sensor 111, and the second pressure sensor 112 to the storage unit 104. Remember. The configuration of each unit mounted on the control unit 103 will be described later.

  The storage unit 104 is, for example, an auxiliary storage device such as a hard disk drive or a solid state drive. For example, the storage unit 104 stores a program executed by the control unit 103. The storage unit 104 also stores control data used to control the information processing device 1 and setting data for setting various functions of the information processing device 1. Further, the storage unit 104 is used as a work memory or the like when the program is executed.

  Further, the storage unit 104 stores living body related data. For example, biometric related data includes biometric data and an event that has generated a measurement trigger signal for obtaining the biometric data. For example, blood pressure data included in biological data includes measurement date and time and blood pressure values (such as systolic blood pressure (SBP) and diastolic blood pressure (DBP)).

  The acceleration sensor 105 is a three-axis acceleration sensor. The acceleration sensor 105 outputs, to the control unit 103, acceleration information representing acceleration in three directions orthogonal to each other. The acceleration information is an example of information representing the movement of the subject. The control unit 103 can calculate the amount of activity in various activities such as housework and desk work as well as walking of the person to be measured, using the acceleration information. The activity amount is, for example, an index related to the activity of the person to be measured, such as a movement (walking) distance, a calorie consumption, or a fat burning amount. The control unit 103 can also estimate the to-be-measured person's bedtime, bedtime, and wake-up using the acceleration information. The control unit 103 can also estimate whether the subject is in motion or not using acceleration information.

  The temperature and humidity sensor 106 measures the ambient temperature and humidity around the information processing device 1. The temperature and humidity sensor 106 outputs environmental data representing the environmental temperature and humidity to the control unit 103. For example, air temperature (temperature change) is considered as one of the factors that can cause human blood pressure fluctuation. For this reason, environmental data is information that can be a factor of blood pressure fluctuation of a subject.

  The atmospheric pressure sensor 107 detects an atmospheric pressure. The pressure sensor 107 outputs pressure information to the control unit 103. The control unit 103 can measure the number of steps of the person to be measured, the number of fast walks, the number of steps of stairs, and the like by using the pressure information and the acceleration information.

  The communication unit 108 is an interface for connecting the information processing device 1 to at least one of the server S and the information communication device M. The information communication device M is, for example, a smartphone or a tablet terminal. For example, the information communication apparatus M is assumed to be owned by a subject. The communication unit 108 is controlled by the control unit 103. The communication unit 108 transmits information to the server S via the network NW, and transmits information to the information communication apparatus M via or without the network NW. Also, the communication unit 108 receives information from at least one of the server S and the information communication apparatus M, and outputs the information to the control unit 103. Communication by the communication unit 108 may be either wireless or wired. The network NW is, for example, the Internet, but is not limited thereto. The network NW may be another type of network such as a hospital local area network (LAN), or may be one-to-one communication using a USB cable or the like. The communication unit 108 may include a micro USB connector. The communication unit 108 may transmit information to the information communication apparatus M by near field communication such as Bluetooth.

  For example, the communication unit 108 receives schedule data transmitted from the information communication device M. The information communication apparatus M may periodically transmit schedule data to the information processing apparatus 1, or the communication unit 108 may periodically request the information processing apparatus 1 for schedule data.

  The GPS receiver 109 receives GPS signals transmitted from a plurality of GPS satellites, and outputs the received GPS signals to the control unit 103. The control unit 103 calculates the current position of the information processing device 1, that is, the current position of the person to be measured wearing the information processing device 1, by performing distance measurement calculation based on the above-described GPS signals. Note that the information processing apparatus 1 may not necessarily include the distance measuring function by the GPS receiver 109 and the control unit 103. In this case, the information processing device 1 acquires position information indicating the current position calculated by the information communication device M from the information communication device M via the communication unit 108. The position information calculated by the information communication device M corresponds to the current position of the information processing device 1. For example, the information communication apparatus M may have a GPS reception function, and position information may be calculated from a GPS signal received by the GPS reception function, or the information communication apparatus M acquires position information by communicating with a base station. You may do it.

  The battery 110 is, for example, a rechargeable secondary battery. The battery 110 supplies power to each element mounted on the main body 10. The battery 110 includes, for example, a display unit 101, an operation unit 102, a control unit 103, a storage unit 104, an acceleration sensor 105, a temperature and humidity sensor 106, an air pressure sensor 107, a communication unit 108, a first pressure sensor 111, and a second pressure sensor 112. The pump drive circuit 113, the pump 114, and the on-off valve 115 are supplied with power.

  The first pressure sensor 111 is, for example, a piezoresistive pressure sensor. The first pressure sensor 111 detects the pressure in the pressure cuff 302 via the flexible tube 501 and the first flow path forming member 503 that constitute the first flow path. The first pressure sensor 111 outputs pressure data to the control unit 103.

  The second pressure sensor 112 is, for example, a piezoresistive pressure sensor. The second pressure sensor 112 detects the pressure in the sensing cuff 304 via the flexible tube 502 and the second flow path forming member 504 that constitute the second flow path. The second pressure sensor 112 outputs pressure data to the control unit 103.

  The pump drive circuit 113 drives the pump 114 based on the control signal from the control unit 103.

  The pump 114 is, for example, a piezoelectric pump. The pump 114 is fluidly connected to the pressure cuff 302 via a first flow path. The pump 114 can supply fluid to the pressure cuff 302 through the first flow path. The pump 114 is equipped with an exhaust valve (not shown) whose opening and closing are controlled according to the on / off of the pump 114. That is, the exhaust valve closes when the pump 114 is turned on to help entrap air within the pressure cuff 302. On the other hand, the exhaust valve is opened when the pump 114 is turned off, and the air in the pressure cuff 302 is exhausted to the atmosphere through the first flow path. In addition, this exhaust valve has a function of a check valve, and the air to be discharged never flows back.

  The pump 114 is further fluidly connected to the sensing cuff 304 via a second flow path. The pump 114 can supply fluid to the sensing cuff 304 through the second flow path.

  The on-off valve 115 is interposed in the second flow path forming member 504. The on-off valve 115 is, for example, a normally open solenoid valve. Opening and closing (opening degree) of the on-off valve 115 is controlled based on a control signal from the control unit 103. When the open / close valve 115 is in the open state, the pump 114 can supply fluid to the sensing cuff 304 through the second flow path.

Next, a state in which the information processing apparatus 1 is mounted on the measurement site (hereinafter, also referred to as “mounted state”) will be described.
FIG. 5 is a view showing a cross section perpendicular to the left wrist 90 which is a measurement site in the mounted state. The main body 10 and the belt 20 are not shown. In FIG. 5, a radial artery 91, an ulnar artery 92, a rib 93, an ulna 94, and a tendon 95 of the left wrist 90 are shown.

  In this mounted state, the curler 301 extends along the outer circumference (Z direction) of the left wrist 90. The pressing cuff 302 extends along the Z direction on the inner peripheral side of the curler 301. The back plate 303 is interposed between the pressing cuff 302 and the sensing cuff 304 and extends along the Z direction. The sensing cuff 304 is in contact with the left wrist 90 and extends in the Z direction so as to cross the arterial passage portion 90 a of the left wrist 90. The belt 20, the curler 301, the pressing cuff 302, and the back plate 303 work as a pressing member capable of generating pressing force toward the left wrist 90, and press the left wrist 90 via the sensing cuff 304.

Software Configuration
Next, an example of the software configuration of the information processing apparatus 1 according to the present embodiment will be described with reference to FIG. FIG. 6 is a view schematically showing an example of the software configuration of the information processing apparatus 1.
The control unit 103 in FIG. 6 develops a part or all of the program stored in at least one of the ROM and the storage unit 104 in the RAM. Then, the control unit 103 interprets and executes this program by the CPU to control various hardware elements shown in FIG. Thereby, as shown in FIG. 6, the information processing apparatus 1 includes a schedule data acquisition unit 1031, a schedule data management unit (support signal output unit) 1032, a measurement unit 1033, a living body related data managing unit 1034, and living body related data. The computer functions as a computer including an output unit (biorelated data output unit) 1035.

  The schedule data acquisition unit 1031 acquires schedule data transmitted from the information communication apparatus M and received by the communication unit 108, and outputs the schedule data to the schedule data management unit 1032. The information communication apparatus M may periodically transmit schedule data to the information processing apparatus 1, or the schedule data acquisition unit 1031 may periodically request schedule data from the information processing apparatus 1.

  The schedule data management unit 1032 receives the schedule data from the schedule data acquisition unit 1031, detects an event included in the schedule data, and selects event information such as start date and time, end date, attribute, and name included in the event. The event is classified into a plurality of groups based on at least one of the above, and the classification information is generated in association with each event. For example, the event information can include various information such as the name of the meeting or meeting, the type of the meeting or meeting, the person being the meeting or meeting, the person on the move, and the business trip destination. The schedule data management unit 1032 can analyze the text data included in the event information by text mining processing, and classify the event into a plurality of classes.

  Further, the schedule data management unit 1032 outputs a support signal regarding measurement of biological data based on the start date and time (event occurrence) included in the event information. For example, the schedule data management unit 1032 may output a support signal almost simultaneously with the occurrence of an event, or may support a predetermined time (for example, one minute before) or a predetermined time (for example, after one minute) from the occurrence of an event. A signal may be output. For example, the support signal includes a measurement trigger signal that indicates measurement (start) of biological data. The assistance signal may also include a measurement guidance signal to guide the measurement of the biometric data based on the event. For example, the measurement guide signal is information (display data) for guiding measurement of biological data.

  For example, all events are identified by event identification information unique to each event. For example, if the event information includes event identification information, the schedule data management unit 1032 detects the event identification information from the event information, outputs a support signal including the event identification information to the measuring unit 1033, and the biological association An event including event identification information and classification information is output to the data management unit 1034. If the event information does not include the event identification information, the schedule data management unit 1032 generates event identification information for the event, and outputs a support signal including the generated event identification information to the measuring unit 1033, An event including the generated event identification information and classification information is output to the biometric related data management unit 1034.

  The measurement unit 1033 starts measurement of biological data based on the measurement trigger signal included in the support signal, acquires biological data, associates the event identification information included in the support signal with the acquired biological data, and outputs it.

  The biometric related data management unit 1034 receives an event including event identification information and biometric data output from the measurement unit 1033, and event identification information and classification information output from the schedule data management unit 1032, and is based on the event identification information. Manage biorelated data in which biodata and events (including classification information) are associated. That is, the living body related data managing unit 1034 manages living body related data in which living body data corresponding to the same event identification information is associated with an event, and outputs the living body related data to the living body related data input / output unit 1035.

  In addition, the living body related data management unit 1034 classifies living body data based on classification information, manages living body related data including living body data classified by event classification, and outputs the living body related data to the living body related data input / output unit 1035 You may do it.

  Further, the living body related data managing unit 1034 classifies living body data based on classification information, analyzes the tendency of living body data classified by event classification, and includes living body related data including information indicating the tendency of living body data classified by event classification. May be output to the living body related data input / output unit 1035.

  FIG. 7 is a diagram showing an example of biometric related data in which events, classification information, and blood pressure data are associated. FIG. 8 is a diagram showing an example of biological related data including blood pressure data in which events, classification information, and blood pressure data are associated and organized according to the classification of events. Furthermore, FIG. 8 is also a diagram showing an example of biorelated data including information indicating the tendency of blood pressure data classified by event.

  The body related data shown in FIGS. 7 and 8 includes events E1 to E6, event E1 is classified into classification C1, event E2 is classified into classification C3, event E3 is classified into classification C3, and event E4 is The case where it is classified into the classification C2, the event E5 is classified into the classification C1, and the event E6 is classified into the classification C2 is shown.

  For example, the living body related data managing unit 1034 calculates an average value from all blood pressure data, and the blood pressure data of class C1 is included in a predetermined range including the average value, or a predetermined one of the blood pressure data of class C1. If the blood pressure data of a percentage of is included in the predetermined range, the tendency of the blood pressure data is analyzed from the blood pressure data of class C1 as “blood pressure is stable, calm and relaxed”. In addition, when the blood pressure data of classification C2 exceeds a predetermined range, or when blood pressure data of a predetermined ratio of blood pressure data of classification C2 exceeds a predetermined range, the living body-related data management unit 1034. From the blood pressure data, analyze the tendency of the blood pressure data as "the blood pressure is rising and feeling stress". In addition, when the blood pressure data of class C3 falls below a predetermined range, or the blood pressure data of a predetermined percentage of the blood pressure data of class C2 falls below a predetermined range, living body related data management unit 1034 determines the blood pressure of class C3. Analyze the trend of blood pressure data as "Low blood pressure and not best" from the data. For example, the predetermined range may be ± 10% of the average value, and the predetermined ratio may be 80%.

  Further, the living body related data management unit 1034 may determine the degree of stress of each classification of the event from the tendency of the biological data of the classification of the event. For example, it is determined that the degree of stress is relatively low for the class C1, and it is determined that the degree of stress is relatively high for the class C2. The living body related data management unit 1034 may determine the stress for each event from the living body data for each event.

  The living body related data input / output unit 1035 receives the living body related data from the living body related data management unit 1034, and outputs the living body related data to the storage unit 104 or the display unit 101. The living body related data input / output unit 1035 may output the living body related data to the communication unit 108.

  For example, when the operation unit 102 receives a first operation input instructing display of biometric data, the biometric related data management unit 1034 receives the first manipulation input via the biometric related data input / output unit 1035. 7 is read out from the storage unit 104 to generate display data based on the biological relationship data, and the display data is output to the display unit 101. The display unit 101 displays an image of living body related data shown in FIG. 7 based on display data.

  In addition, when the operation unit 102 receives a second operation input instructing the display of biometric data classified by event, the living body related data management unit 1034 generates the second operation input from the storage unit 104 based on the second operation input. The biological data classified by event shown in FIG. 8 is read out, display data is generated based on the biological data classified by event, and the display data is output to the display unit 101. The display unit 101 displays an image of biological data classified by event shown in FIG. 8 based on display data.

  When the operation unit 102 receives a third operation input instructing display of trend analysis of biological data classified by event, the living body related data management unit 1034 stores the data based on the third operation input. A trend analysis of biological data classified by event shown in FIG. 8 from the unit 104 is read out to generate display data based on the trend analysis of biological data classified by event, and the display data is output to the display unit 101. The display unit 101 displays an image of trend analysis of biological data classified by event shown in FIG. 8 based on display data.

  Here, a notice of measurement of biological data based on the measurement guidance signal included in the support signal will be described. As described above, in response to the occurrence of an event, the support signal including the measurement trigger signal is output, and measurement of the biological data by the measurement unit 1033 is started. I have something I want to do. Therefore, the schedule data management unit 1032 outputs the support signal including the measurement trigger signal and the measurement guide signal in response to the occurrence of the event. Based on the measurement trigger signal included in the support signal, the measurement unit 1033 starts measurement of biological data after a predetermined time (for example, after one minute). In addition, the display unit 101 immediately displays a guidance image of measurement of biological data based on the measurement guidance signal included in the support signal. By this display, it is possible to guide in advance the measurement of biological data according to the event (after one minute, for example) started from now on (to the subject (user), for example). Alternatively, the management unit 1032 may output a measurement guide signal as a support signal in response to the occurrence of an event, and may output a measurement trigger signal as a support signal after a predetermined time has elapsed (for example, after one minute). Good. Thereby, the display unit 101 immediately displays a guidance image of measurement of biological data based on the measurement guidance signal. By this display, it is possible to guide in advance the measurement of biological data according to the event (after one minute, for example) started from now on (to the subject (user), for example). In addition, the measurement unit 1033 immediately starts measurement of biological data based on the measurement trigger signal. The subject can know the measurement of the biological data according to the event to be started from now, and can reduce the fluctuation due to the measurement of the biological data according to the event.

  For example, when the subject who has seen the guidance wants to cancel the measurement of the biological data, an operation input instructing cancellation of the measurement of the biological data is performed from the operation unit 102. When the operation unit 102 receives an operation input instructing cancellation of measurement of biological data, the operation unit 102 instructs cancellation of measurement of biological data for a predetermined period (for example, 10 minutes). The measuring unit 1033 does not start measurement of biological data even if it receives a measurement trigger signal in this fixed period based on an instruction to cancel measurement of biological data for a fixed period. In this way, it is possible to cancel the measurement of the biological data at the will of the subject in a situation not suitable for the measurement of the biological data.

  As described above, the information processing apparatus 1 can support the measurement of the biological data according to the situation (the start date and time of the event) by the output of the support signal related to the measurement of the biological data based on the event included in the schedule data. This makes it possible to reduce leakage of measurement of biological data according to the event. Further, it is possible to provide event-based biometric data by outputting biometric-related data in which biometric data acquired by measuring biometric data based on the output of a support signal is associated with an event. Thereby, biometric data corresponding to the event can be notified. That is, the subject can easily know what kind of biological data was measured at what kind of event, and by comparing the biological data according to the event, the biological data of each event can be obtained. It is also possible to know fluctuations and the like.

  Further, the information processing apparatus 1 can provide biometric data classified by event by outputting biometric related data including biometric data classified by event classification. Thereby, biometric data according to the classification of the event can be notified. That is, the subject can easily know what kind of event data was measured and what kind of biological data was measured, and by comparing the biological data according to the classification of the event, It is also possible to know changes in biological data classified by classification.

  Furthermore, the information processing apparatus 1 can provide information representing the tendency of biological data classified by event by outputting biological related data including information representing the tendency of biological data classified by event. Thereby, it is possible to notify information representing the tendency of the biometric data according to the classification of the event. In other words, the subject can easily know what kind of event classification and what kind of biological data tend to be, and by comparing the tendency of biological data according to the classification of events. It is also possible to know changes in the trend of biological data according to event classifications.

<Information communication device>
[Hardware configuration]
Next, an example of the hardware configuration of the information communication apparatus M according to the present embodiment will be described with reference to FIG. FIG. 9 is a view schematically showing an example of the hardware configuration of the information communication apparatus M. As shown in FIG.

  As shown in FIG. 9, the information communication apparatus M is a computer in which a control unit M11, a storage unit M12, a communication interface M13, an input device M14, an output device M15, and an external interface M16 are electrically connected. It is. In FIG. 9, the communication interface and the external interface are described as “communication I / F” and “external I / F”, respectively.

  The control unit M11 includes a CPU, a RAM, a ROM, and the like. The CPU is an example of a processor. The CPU develops a part or all of the program stored in at least one of the ROM and the storage unit M12 in the RAM, and interprets and executes these programs. Thereby, the control unit M11 can execute various information processing, for example, the processing of the functional block described in the item of the software configuration.

  The storage unit M12 is a so-called auxiliary storage device, and may be, for example, a semiconductor memory such as a built-in or external flash memory. The storage unit M12 stores a program executed by the control unit M11, data used by the control unit M11, and the like. The program can also be referred to as an instruction to operate the control unit M11. For example, the storage unit M12 stores a schedule management application program.

  The communication interface M13 mainly includes various wireless communication modules for Bluetooth, mobile communication (3G, 4G, etc.) and WLAN. The communication interface M13 may further include a wired communication module such as a wired LAN (Local Area Network) module.

The input device M14 is a device for receiving user input such as a touch screen, for example.
The output device M15 is, for example, a device for performing an output such as a display or a speaker.
The external interface M16 is a USB port, a memory card slot or the like, and is an interface for connecting to an external device.

  In addition, regarding the concrete hardware constitutions of the information communication apparatus M, according to embodiment, omission, substitution, and addition of a component are possible suitably. For example, the control unit M11 may include a plurality of processors. As the information communication apparatus M, a general-purpose tablet PC (Personal Computer) or the like may be used besides the information processing apparatus designed specifically for the service to be provided.

Software Configuration
Next, an example of the software configuration of the information communication apparatus M according to the present embodiment will be described using FIG. FIG. 10 is a diagram schematically showing an example of the software configuration of the information communication apparatus M. As shown in FIG.

  The control unit M11 in FIG. 10 develops the program stored in the storage unit M12 in the RAM. The control unit M11 interprets and executes this program by the CPU to control various hardware elements shown in FIG. Thereby, as shown in FIG. 10, the information communication apparatus M functions as a computer including the schedule data management unit M111 and the living body related data management unit M112.

  The schedule data management unit M111 generates schedule data in response to the user's input operation (pull-down selection etc.) of the schedule from the input device M14 by executing the schedule management application program stored in the storage unit M12. Further, the schedule data management unit M111 manages the generated schedule data, and registers the generated schedule data in the storage unit 12, for example. A general purpose program can be applied as a schedule management application program.

  For example, schedule data includes a plurality of events. For example, the event includes event information such as a start date and time, an end date and time, an attribute, and a name. The attribute may include a first attribute and a second attribute. For example, the first attribute includes information such as work or private, and the second attribute includes information such as a meeting, training, a watching event, or sports. For example, the event E1 has a start date and time (2017/8/1/09: 00), an end date and time (2017/8/1/1/10: 00), a first attribute (work place), a second attribute (meeting), and a name ( A) including departments and meetings. The name may include the department name or personal name to be a target of the meeting, or may include feature information such as an early morning meeting. The names may be used to classify events. For example, the living body related data management unit 1034 classifies an event whose name includes “A department and meeting” or “A” into class C1 and includes “person with Mr. B meeting” or “B”. The classified event is classified into category C2, and the event whose name includes "early meeting" or "morning" is classified into category C3.

<Others>
In the present embodiment, an example is described in which each function of the information processing device 1 and the information communication device M is realized by a general-purpose CPU. However, some or all of the above functions may be realized by one or more dedicated processors. In addition, regarding the software configurations of the information processing device 1 and the information communication device M, omission, replacement, and addition of functions may be appropriately performed according to the embodiment.

3 3 Operation example
<Information processing device>
Next, an example of an output processing operation of biometric data by event by the information processing apparatus 1 will be described with reference to FIG. FIG. 11 is a flowchart showing an example of an output processing operation of biometric data by event by the information processing apparatus 1. In addition, the process sequence demonstrated below is only an example, and each process may be changed as much as possible. In addition, according to the embodiment, steps may be omitted, replaced, or added as appropriate, according to the embodiment.

  As illustrated in FIG. 11, the schedule data acquisition unit 1031 of the information processing device 1 acquires schedule data transmitted from the information communication device M via the communication unit 108 (step S101). Also, the schedule data acquisition unit 1031 outputs the schedule data to the schedule data management unit 1032.

  The schedule data management unit 1032 receives the schedule data from the schedule data acquisition unit 1031, detects an event included in the schedule data, and does not detect that the start date and time included in the event is reached (step S102, NO) 2.) If a support signal is not output and it is detected that the start date and time included in the event is reached (YES in step S102), the support signal is output (step S103). The schedule data management unit 1032 detects that it has reached a predetermined time (for example, one minute before) or a predetermined time (for example, one minute) before the start date and time included in the event, and outputs a support signal. You may Further, the schedule data management unit 1032 outputs the detected event to the living body related data management unit 1034.

  For example, the display unit 101 receives the support signal from the schedule data management unit 1032, and outputs information representing a guide (image) of measurement of biological data based on the measurement guide signal included in the support signal (step S104). . In addition, the measurement unit 1033 receives the support signal from the schedule data management unit 1032, measures biological data after a predetermined time has elapsed based on the measurement trigger signal included in the support signal (step S105), and obtains the biological data. The acquired biometric data is output to the biometric related data management unit 1034. By measuring the biological data after the predetermined time has elapsed, it is possible to provide the subject with a period in which the guidance of the measurement of the biological data can be known.

  The living body related data managing unit 1034 receives the living body data output from the measuring unit 1033 and the event output from the schedule data managing unit 1032, and manages living body related data in which the living body data and the event are associated (step S106). ). The living body related data input / output unit 1035 receives the living body related data from the living body related data managing unit 1034 and outputs the living body related data (step S107).

  For example, the living body related data input / output unit 1035 outputs living body related data to the storage unit 104, and the storage unit 104 stores the living body related data output from the living body related data input / output unit 1035. The living body related data input / output unit 1035 outputs the living body related data to the display unit 101, and the display unit 101 displays an image based on the living body related data. Further, the living body related data input / output unit 1035 outputs the living body related data to the communication unit 108, and the communication unit 108 transmits the living body related data to the designated transmission destination. For example, the communication unit 108 transmits living body related data to the information communication device M. The communication interface M13 of the information communication device M receives biometric related data, and the output device M15 displays an image based on the biometric related data.

  Next, an example of the analysis operation of the tendency of biological data classified by event by the information processing apparatus 1 will be described using FIG. 12. FIG. 12 is a flowchart illustrating an example of the analysis operation of the tendency of biological data classified by event by the information processing device 1. In addition, the process sequence demonstrated below is only an example, and each process may be changed as much as possible. In addition, according to the embodiment, steps may be omitted, replaced, or added as appropriate, according to the embodiment.

  As shown in FIG. 12, the schedule data management unit 1032 detects an event included in the schedule data, and based on at least one of information such as start date and time, end date and time, attribute, and name included in the event, The events are classified into a plurality of items, and are associated with the respective events to generate classification information (step S201). The schedule data management unit 1032 outputs an event including event identification information and classification information to the living body related data management unit 1034. Further, the measurement unit 1033 associates the event identification information and the biometric data with each other and outputs the data to the biometric data management unit 1034.

  The biometric related data management unit 1034 associates biometric data corresponding to the same event identification information with an event (including classification information), and manages biometric related data including biometric data classified by event (step S202). In addition, the living body related data management unit 1034 analyzes the tendency of the living body data classified by event (step S203). The biometric related data input / output unit 1035 outputs the tendency of biometric data classified by event (step S204).

  For example, the living body related data input / output unit 1035 outputs information indicating the tendency of living body data classified by event to the storage unit 104, and the storage unit 104 stores the information for the event output from the living body related data input / output unit 1035. The tendency of classification biological data is stored. In addition, the living body related data input / output unit 1035 outputs the information indicating the tendency of the biological data classified by event to the display unit 101, and the display unit 101 is based on the information expressing the tendency of biological data classified by event. Display an image. Further, the living body related data input / output unit 1035 outputs the information indicating the tendency of the living body data classified by event to the communication unit 108, and the communication unit 108 designates the information representing the trend of the living body data classified by event. Send to the specified destination. For example, the communication unit 108 transmits, to the information communication apparatus M, information indicating the tendency of biological data classified by event. The communication interface M13 of the information communication device M receives information indicating the tendency of biological data classified by event, and the output device M15 displays an image based on the information indicating the tendency of biological data classified by event.

[Operation / effect]
As described above, in the present embodiment, the information processing apparatus 1 measures biological data according to conditions such as the start date and time of an event by outputting a support signal related to measurement of biological data based on an event included in schedule data. Can help. This makes it possible to reduce leakage of measurement of biological data according to the event. Further, biological data for each event can be provided by outputting biological related data in which biological data obtained based on the output of the support signal and the event are associated with each other. Thereby, biometric data corresponding to the event can be notified. That is, the person to be measured can easily know what kind of biological data was measured at what kind of event.

4 4 Modifications Although the embodiments of the present invention have been described in detail, the above description is merely illustrative of the present invention in all respects. It goes without saying that various improvements and modifications can be made without departing from the scope of the present invention.

  For example, in the present embodiment, the measurement unit 1033 receives the support signal from the schedule data management unit 1032 and measures the living body based on the measurement trigger signal included in the support signal, but the present invention is limited thereto. It is not a thing. For example, the support signal may not include the measurement trigger signal, but may include a measurement timing guidance signal that indicates that it is the recommended timing of measurement of the biological data. The display unit 101 displays a guidance image indicating that it is the recommended timing of measurement of biological data, based on the guidance signal of measurement timing included in the support signal. For example, the display unit 101 displays a guidance image such as "It is the start time of the event E1. Blood pressure measurement is recommended." When the subject who looks at this guidance wants to execute measurement of biological data, an operation input is performed to instruct execution of measurement of biological data from the operation unit 102. The operation unit 102 instructs the measurement unit 1033 to execute measurement of biological data when receiving an operation input instructing to execute measurement of biological data. Measurement unit 1033 starts measurement of biological data based on an instruction to execute measurement of biological data, acquires biological data, and outputs biological data to living body related data management unit 1034. The living body related data managing unit 1034 receives the living body data output from the measuring unit 1033 and the event output from the schedule data managing unit 1032, associates the living body data with the event, and manages them. As a result, measurement of biological data can be performed by the user's will in response to the occurrence of an event, and moreover, forgetting to operate the measurement of biological data in response to the occurrence of an event can be reduced.

  In the present embodiment, the schedule data management unit 1032 of the information processing apparatus 1 detects an event included in the schedule data, outputs a support signal based on the start date and time included in the event, and outputs the event. Although explained, it is not limited to this. For example, the schedule data management unit M111 of the information communication terminal M may have the same function as the schedule data management unit 1032 of the information processing device 1. That is, the schedule data management unit M111 may detect an event included in the schedule data, output a support signal based on the start date and time included in the event, and output the detected event. Thereby, the communication interface M13 of the information communication terminal M transmits the support signal and the event to the information processing device 1, and the communication unit 108 of the information processing device 1 receives the support signal and the event. The display unit 101 displays the guidance based on the measurement guidance signal included in the support signal from the information communication terminal M, and the measurement unit 1033 selects the biological data based on the measurement trigger signal included in the support signal from the information communication terminal M. The living body related data management unit 1034 manages the living body related data in which the living body data and the event are associated in response to the living body data output from the measuring unit 1033 and the event from the information communication terminal M. Alternatively, the server M may manage schedule data transmitted from the information communication terminal M, and transmit a support signal and an event to the information processing device 1.

  Further, the target and non-target of measurement of biological data may be distinguished according to the classification of events. For example, the measurement subject designates classification C1 as a measurement target and designation of classification C2 as a measurement non-target via the operation unit 102. The schedule data management unit 1032 outputs a support signal based on the event of class C1 based on the designation, and does not output a support signal based on the event of class C2. This makes it possible to measure biometric data classified by event that reflects the will of the subject.

5 5
A part or all of each embodiment described above can be described as shown in the following appendices in addition to the claims, but is not limited thereto.
(Supplementary Note 1)
With memory
A processor connected to the memory;
Equipped with
The processor is
A support signal output unit that outputs a support signal related to measurement of biological data based on an event included in the schedule data;
A living body related data management unit that manages living body related data in which the biological data acquired based on the output of the support signal and the event are associated;
A living body related data output unit that outputs the living body related data;
An information processing apparatus configured to function as:

(Supplementary Note 2)
An assistance signal output process of outputting an assistance signal regarding measurement of biological data based on an event included in schedule data using at least one processor;
A biometric related data management process of managing biometric related data in which biometric data acquired based on the output of the support signal is associated with the event using at least one processor;
A biorelevant data output process for outputting the biorelevant data using at least one processor;
An information processing method comprising:

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 10 Body 10A Case 10B Glass 10C Back cover 12 Storage part 20 Belt 30 Cuff structure 30a One end 30b Another end 30c Inner peripheral surface 90 Left wrist 90a Artery passage Part 91: radial artery 92: ulnar artery 93: rib 94: ulna 95: tendon 101: display unit 102: operation unit 103: control unit 104: storage unit 105: acceleration sensor 106: temperature and humidity sensor 107: pressure sensor 108: communication Section 109: Receiver 109: (Global Positioning System) Receiver 110: Battery 111: First pressure sensor 112: Second pressure sensor 113: Pump drive circuit 114: Pump 115: On-off valve 201: First belt portion 201a: Root Portion 201b ... Tip portion 202 ... Second belt portion 202a ... Root portion 202b ... Tip portion 202c ... Small hole 2 3 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ frame 203 B ... rod 203 C ... connecting rod 204 ... belt holding portion 301 ... cala 302 pressing cuff 303 ... back plate 304 ... sensing cuff 304 A ... first sheet 304 B ... second sheet 401 ... connected Bar 402 ... connecting bar 501 ... flexible tube 502 ... flexible tube 503 ... first flow path forming member 504 ... second flow path forming member 1031 ... schedule data acquisition part 1032 ... schedule data management part 1033 ... measurement Unit 1034: living body related data management unit 1035 ... living body related data input / output unit M: information communication device M11 ... control unit M12 ... storage unit M13 ... communication interface M14 ... input device M15 ... output device M16 ... external interface M111 ... schedule data management Part M112 ... living body related data management part

Claims (10)

A support signal output unit that outputs a support signal related to measurement of biological data based on schedule data;
A living body related data management unit that manages living body related data in which living body data acquired based on the output of the support signal and an event included in the schedule data are associated;
A living body related data output unit that outputs the living body related data;
An information processing apparatus comprising:   The information processing apparatus according to claim 1, wherein the living body related data management unit manages the living body related data including living body data classified by classification of the event.   The information processing apparatus according to claim 2, wherein the living body related data management unit manages the living body related data including information indicating a tendency of living body data classified by classification of the event.   The information processing apparatus according to any one of claims 1 to 3, wherein the support signal includes a measurement trigger signal for instructing measurement of biological data.   The information processing apparatus according to claim 4, further comprising a measurement unit that measures biological data based on the measurement trigger signal.   The information processing apparatus according to any one of claims 1 to 5, wherein the support signal includes a measurement guide signal for guiding measurement of biological data based on the event.   The support signal output unit outputs, as the support signal, a measurement guide signal for guiding measurement of biological data based on the event to the guide output unit, and measures a measurement trigger signal for instructing measurement of biological data after a predetermined time has elapsed. The information processing apparatus according to claim 1, wherein the information is output to a unit.   The information processing apparatus according to claim 6, further comprising a guidance output unit that outputs information for guiding measurement of biological data based on the measurement guidance signal. A support signal output process for outputting a support signal related to measurement of biological data based on schedule data;
A biometric related data management process for managing biometric related data in which biometric data acquired based on the output of the support signal and an event included in the schedule data are associated;
A living body related data output process for outputting the living body related data;
An information processing method comprising:   An information processing program that causes a computer to function as each unit included in the information processing apparatus according to any one of claims 1 to 8.