Brain function index generating system, brain function index display system, and brain function index generating method

Abstract

This brain function indicator generation system (100) comprises: a measurement results acquisition unit (10a) that acquires measurement results (40) regarding the brain of a subject (90); an indicator data acquisition unit (20c) that, on the basis of the measurement results, acquires indicator data (43) including at least one of a comment (47) in which the condition of a brain function can be visually identified and a histogram (48) in which a brain function can be visually identified, and including a moving image (45a) that shows chronological variation in the brain activity of the subject; and a screen generation unit (20e) that generates an indicator data display screen (32a) displaying the indicator data.

Description

[Technical field]

[0001] The present invention relates to a brain function index generating system, a brain function index display system, and a brain function index generating method. [Background technology]

[0002] A brain function index generating system, a brain function index display system, and a brain function index generating method are known in the art. Such a brain function index generating system, a brain function display system, and a brain function index generating method are disclosed in Japanese Patent No. 6475132, for example.

[0003] Japanese Patent No. 6475132 discloses a brain function index output device including a measuring unit for measuring signals associated with the brain activity of the subject, a computing unit for analyzing the signals, a task unit for presenting tasks for measuring the brain function of the subject, and a display unit for displaying index data. This brain function index output device is configured so that the subject performs the tasks selected by a doctor or the like and presented by the task unit. In addition, the brain function index output device disclosed in Japanese Patent No. 6475132 is configured to display the brain function index of the subject and the treatment information of the subject on the display unit. This allows the doctor to diagnose the subject and confirm the treatment effect. In addition, in Japanese Patent No. 6475132, a graph of the waveform of the average value of the biosignal and the average value of the biosignal are displayed as the index of the brain function of the subject. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 6475132 Summary of the Invention [Problem to be solved by the invention]

[0005] Here, a system has been developed recently that allows the subject's brain function treatment and training to improve the brain function to be easily performed not only at medical institutions but also at training gyms, etc. In this case, the subject himself checks whether the brain function has been improved by the brain function treatment and training to improve the brain function. However, the brain function index output device disclosed in Japanese Patent No. 6475132 is configured to display a graph of the waveform of the average value of the biosignal and the average value of the biosignal for a doctor to check the change in the brain function index caused by the treatment, etc. That is, the brain function index generating system disclosed in Japanese Patent No. 6475132 is a system used by a doctor to check the index data when the doctor makes a diagnosis, etc., and it is not expected that the subject himself will check the index data. Therefore, there is a problem that a subject without specialized knowledge cannot easily understand the contents of the brain function index.

[0006] The present invention has been made to solve the above-mentioned problems, and one object of the present invention is to provide a brain function index generating system, a brain function index display system, and a brain function index generating method that enable even a subject without specialized knowledge to easily understand the contents of the brain function index. [Means for solving the problem]

[0007] In order to achieve the above object, a brain function index generating system according to a first aspect of the present invention includes a measurement result acquiring unit that acquires measurement results of signals based on blood flow in the brain of a subject, and a comment that allows visual identification of the state of the brain function of the subject during measurement based on the measurement results, and a pictogram that allows visual identification of the state of the brain function of the subject. Our at least commentand a dynamic image showing a time-dependent change in brain activity in the measurement channel when measuring the brain of the subject, which allows visual identification of the time-dependent change in the brain activity of the subject during measurement. An index data acquisition unit acquires index data including the dynamic image showing the time-dependent change in brain activity in the measurement channel when measuring the brain of the subject, and a screen generation unit generates an index data display screen that displays the acquired index data. Note that "visually identifiable" means that the subject can grasp the content at a glance. Also, a pictogram is an image that shows the state of the subject's brain function.

[0008] A brain function index display system according to a second aspect of the present invention includes a signal measurement unit that measures a signal based on blood flow in the brain of a subject, a measurement result acquisition unit that acquires the measurement results of the signal, and a comment that allows visual identification of the state of the brain function of the subject during measurement based on the measurement results and a pictogram that allows visual identification of the state of the brain function of the subject. Our at least comment and an index data acquisition unit that acquires index data including a dynamic image showing a time-dependent change in brain activity in the measurement channel when the subject's brain is measured, which enables visual identification of the time-dependent change in the subject's brain activity during measurement; a server that includes a memory unit that stores specific information for identifying the subject, the measurement results, and the index data in association with each other; and a terminal that includes a display unit that displays the index data.

[0009] A brain function index generating method according to a third aspect of the present invention includes a step of acquiring measurement results of signals based on a blood flow of a subject, and generating a comment that allows visual identification of a state of brain function of the subject during measurement and a pictogram that allows visual identification of the state of brain function of the subject based on the measurement results. Our at least comment and a dynamic image showing changes over time in brain activity in the measurement channels when measuring the subject's brain, which enables visual identification of changes over time in the subject's brain activity during measurement. The method includes the steps of: acquiring index data including the dynamic image showing changes over time in brain activity in the measurement channels when measuring the subject's brain, generating an index data display screen that displays the acquired index data, and displaying the index data display screen. Effect of the Invention

[0010] In the brain function index generating system in the first aspect, the brain function index display system in the second aspect, and the brain function index generating method in the third aspect, as described above, index data including at least one of a comment and a pictogram that can visually identify the state of the subject's brain function during measurement, and a moving image that can visually identify the change over time of the brain activity of the subject during measurement in the measurement channel when the subject's brain is measured is acquired. The acquired index data is also displayed. As a result, index data including a brain function state index that can visually identify the state of the subject's brain function during measurement and a brain activity change index that includes a schematic diagram that can visually identify the change over time of the subject's brain activity during measurement is displayed on the index data display screen. Therefore, the subject can visually grasp the state of the brain function by checking the brain function state index on the index data display screen. In addition, the subject can visually, easily and intuitively grasp the change in brain activity over time by checking the brain activity change index including the schematic diagram on the index data display screen. Therefore, the subject can visually, easily and intuitively grasp both the state of brain function and the change in brain activity over time by checking both the brain function state index and the brain activity change index including the schematic diagram on the index data display screen. As a result, unlike a configuration that displays numerical data and graphs of the index, even a subject without specialized knowledge can easily understand the content of the index of brain function. [Brief description of the drawings]

[0011] [Figure 1] 1 is a diagram for explaining the overall configuration of a brain function index display system including a brain function index generating system according to an embodiment. FIG. [Diagram 2] FIG. 1 is a block diagram for explaining a configuration of a measurement device according to an embodiment. [Diagram 3] 1 is a schematic diagram for explaining a configuration in which a brain function of a subject is measured by a measurement device according to one embodiment. FIG. [Figure 4] FIG. 2 is a block diagram illustrating a configuration of a server according to an embodiment. [Diagram 5] FIG. 2 is a block diagram for explaining a configuration of a subject's terminal used when using the brain function index generating system according to one embodiment. [Figure 6] 13 is a schematic diagram for explaining an index data table that associates index values ​​with brain functional state indexes. FIG. [Figure 7] 1 is a schematic diagram for explaining the upper half of an index data display screen that displays index data in the brain function index generating system according to an embodiment. FIG. [Figure 8] 13 is a schematic diagram for explaining the lower half of an index data display screen that displays index data in the brain function index generating system according to one embodiment. FIG. [Figure 9] 1 is a flowchart for explaining a process in which a brain function index generating system according to an embodiment measures brain function. [Figure 10] 1 is a block diagram for explaining a configuration in which a measurement device according to an embodiment transmits measurement results to a server. [Figure 11] FIG. 11 is a block diagram illustrating a configuration in which a server according to an embodiment generates index data. [Figure 12] 11 is a block diagram for explaining a configuration in which a server according to an embodiment transmits an index data display screen to a terminal based on a request from the terminal. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.

[0013] First, the configurations of a brain function index generating system 100 and a brain function index display system 200 according to one embodiment of the present invention will be described with reference to Figs. 1 to 5.

[0014] 1, the brain function index display system 200 includes a brain function index generating system 100 and a terminal 3. The brain function index generating system 100 includes a measuring device 1 and a server 2. That is, the brain function index display system 200 includes the measuring device 1, the server 2, and the terminal 3. The measuring device 1 and the server 2 are connected via a network 80. The network 80 is, for example, the Internet.

[0015] The measurement device 1 is configured to measure a signal 4 (see FIG. 10) based on the blood flow in the brain of a subject 90 (see FIG. 3). The detailed configuration of the measurement device 1 will be described later.

[0016] The server 2 is configured to generate index data 43 (see FIG. 4) that is an index of the brain function of the subject 90 (see FIG. 3) based on the measurement result 40 (see FIG. 2) measured by the measurement device 1. The detailed configuration of the server 2 will be described later.

[0017] Moreover, the server 2 according to this embodiment is connected to a terminal 3 operated by a subject 90 via a network 80. Note that the server 2 and the terminal 3 are not always connected to each other, but are connected when the terminal 3 accesses the server 2. The terminal 3 includes, for example, a smartphone, a tablet terminal, a personal computer, and the like.

[0018] A subject 90 (see FIG. 3) can operate the terminal 3 to obtain and confirm the index data display screen 32a (see FIG. 7) from the server 2.

[0019] <Measuring Equipment> Next, the measurement device 1 will be described with reference to FIGS.

[0020] As shown in FIG. 2, the measurement device 1 includes a first processor 10, a signal measurement unit 11, a task presentation unit 12, a first data transmission unit 13, a first input reception unit 14, and a first storage unit 15.

[0021] The first processor 10 is configured to perform various controls of the measuring device 1 by executing a program (not shown) stored in the first storage unit 15. The first processor 10 is a computer configured to include a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory).

[0022] The signal measuring unit 11 is configured to measure a signal 4 (see FIG. 10) based on the blood flow in the brain of a subject 90 (see FIG. 3). The signal measuring unit 11 includes a plurality of light irradiating units 11a that irradiate measuring light, a plurality of light receiving units 11b that receive the measuring light, and a holder 11c that holds the plurality of light irradiating units 11a and the plurality of light receiving units 11b and is attached to the head 90a of the subject 90.

[0023] The light irradiating unit 11a includes a light source, a light transmitting probe, and an optical fiber 11d (see FIG. 3) that connects the light source and the light transmitting probe. The light transmitting probe is arranged on a head 90a (see FIG. 3) of a subject 90 (see FIG. 3), and is configured to irradiate the head 90a of the subject 90 with measurement light irradiated from the light source via the optical fiber 11d.

[0024] The light receiving unit 11b includes an optical sensor that detects the measurement light, a light receiving probe, and an optical fiber 11d (see FIG. 3) that connects the optical sensor and the light receiving probe. The light receiving probe is arranged on the head 90a (see FIG. 3) of the subject 90 (see FIG. 3) and is configured to receive the measurement light that is irradiated from the light transmitting probe and passes through the inside of the head 90a of the subject 90. The measurement light received by the light receiving probe is detected by the optical sensor via the optical fiber 11d.

[0025] The holder 11c is configured to hold the light-transmitting probe and the light-receiving probe. Specifically, the holder 11c holds the light-transmitting probe and the light-receiving probe so that the light-transmitting probe and the light-receiving probe are placed on a head 90a (see FIG. 3) of a subject 90 (see FIG. 3).

[0026] In this embodiment, the light irradiator 11a is configured to irradiate measurement light in the near-infrared region. That is, the measurement device 1 is a device that measures the brain function of the subject 90 by so-called near-infrared spectroscopy (NIRS). The wavelength region of the near-infrared light is, for example, 700 nm or more and 900 nm or less. Since the absorption rate of near-infrared light in a living body is low, the measurement light can reach the brain region inside the head 90a (see FIG. 3).

[0027] Here, when the amount of hemoglobin in the blood in the brain increases at the activated site, reflecting the brain activity of the subject 90, the amount of absorption of the measurement light by the hemoglobin increases. Therefore, it is possible to obtain the change in the amount of hemoglobin associated with the brain activity based on the intensity of the obtained measurement light. Note that hemoglobin is divided into oxyhemoglobin bound to oxygen and deoxyhemoglobin not bound to oxygen, and the light absorption characteristics are different between them. Therefore, the measurement device 1 performs measurement using measurement light of multiple wavelengths (for example, three wavelengths of 780 nm, 805 nm, and 830 nm) taking into consideration the difference in light absorption characteristics. Based on the intensity (amount of received light) of the measurement light of each wavelength obtained, the time change of each hemoglobin amount and the total amount is calculated. As a result, it is possible to non-invasively obtain the change in the amount of hemoglobin associated with the brain activity, that is, the change in blood flow and the activation state of oxygen metabolism, based on the intensity (amount of received light) of the measurement light incident on the light receiving unit 11b.

[0028] The task presenting unit 12 is configured to present a task 5 for measuring the brain function of a subject 90 (see FIG. 3). The task 5 is acquired from the server 2 (see FIG. 1) by the first processor 10 based on specific information 41 (see FIG. 4) input by the subject 90. The task presenting unit 12 includes a display device that presents the task 5 to the subject 90 by displaying the task 5, and a stimulus presenting device that presents the task 5 by providing a sensory stimulus to the subject 90.

[0029] In this embodiment, the brain function index generating system 100 is configured to measure the cognitive function of the subject 90. Therefore, the task 5 includes a task that can measure the cognitive function of the subject 90. Specifically, the task 5 includes a first task 5a related to memory and a second task 5b related to sensory stimulation and memory. The task presenter 12 includes a first task presenter 12a that presents the first task 5a and a second task presenter 12b that presents the second task 5b. The first task presenter 12a is a display device. In addition, the second task presenter 12b is a stimulation presenter. Details of the first task 5a and the second task 5b will be described later.

[0030] The first data transmission unit 13 is configured to transmit a measurement result 40 of the signal 4 (see FIG. 10) measured by the signal measurement unit 11 to the server 2 (see FIG. 1). The first data transmission unit 13 includes, for example, a communication device that communicates data via the network 80.

[0031] The first input receiving unit 14 is configured to be able to receive operational input from the subject 90 (see FIG. 3). The first input receiving unit 14 includes, for example, any one of a mouse, a keyboard, and a touch panel type liquid crystal display.

[0032] The first storage unit 15 is configured to store various programs executed by the first processor 10. The first storage unit 15 is also configured to store the measurement results 40, information 46 of the subject's answer to the task 5 acquired by the task presentation unit 12, and the like. The first storage unit 15 includes a non-volatile storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The answer information 46 includes information for uniquely identifying the task 5 presented to the subject 90, information on the correctness of the subject's answer, the subject's answer to the task 5, and the correct answer to the presented task 5.

[0033] In this embodiment, the task presenter 12 and the measurement result acquirer 10a are provided in a single measurement device 1 configured to be able to communicate with the server 2. Specifically, the task presenter 12 and the measurement result acquirer 10a are provided in the same housing 1a of the measurement device 1 (see FIG. 3).

[0034] As shown in FIG. 3, the holder 11c is attached to the head 90a of the subject 90 while holding a plurality of light emitting units 11a (see FIG. 2) and a plurality of light receiving units 11b (see FIG. 2). In this embodiment, the holder 11c is configured so that the subject 90 can attach it to the head 90a of the subject 90 by himself / herself. In the example shown in FIG. 3, the light transmitting probe included in the light emitting unit 11a and the light receiving probe included in the light receiving unit 11b are held in the holder 11c as a measurement unit 11e. In the example shown in FIG. 3, four measurement units 11e are held in the holder 11c. Each measurement unit 11e is provided with at least one light transmitting probe and at least one light receiving probe. Each measurement unit 11e is provided with, for example, one light transmitting probe and one light receiving probe. In addition, each measurement unit 11e is connected to the measurement device 1 by an optical fiber 11d. In the example shown in FIG. 3, the optical fiber 11d is illustrated as a bundle of an optical fiber connecting the light transmitting probe and the light source and an optical fiber connecting the light receiving probe and the optical sensor.

[0035] In the example shown in FIG. 3, the first task presenting unit 12a is a display device provided in the measurement device 1. As a specific example, the first task presenting unit 12a is configured to present the first task 5a by displaying a first task 5a related to memory. The first task 5a includes, for example, a calculation task. The first task 5a also includes calculation tasks of different difficulty levels. The calculation tasks of different difficulty levels are presented with a low difficulty task presented first and a high difficulty task presented later. The low difficulty calculation task is, for example, a problem of continuously subtracting 2 from 100. The high difficulty calculation task is, for example, a problem of continuously subtracting 7 from 102. In this embodiment, the first task presenting unit 12a presents the subject 90 with the first task 5a, which is to perform subtraction by mental arithmetic continuously for a predetermined time and to have the subject 90 input a final answer. The first task presenting unit 12a presents the next problem by operation input of the subject 90. Therefore, the first processor 10 (see FIG. 2) can store in the first storage unit 15 the number of times the subject 90 answers the first task 5a.

[0036] In the example shown in FIG. 3, the second task presenting unit 12b is configured to present the second task 5b by writing characters on the palm of the subject 90 with the subject's hand placed on the second task presenting unit 12b. The second task presenting unit 12b is configured to write characters on the palm of the subject 90 by, for example, pressure stimulation. The second task 5b also includes tasks of different difficulty levels. In this embodiment, the second task presenting unit 12b presents the task 5 related to sensory stimulation and memory by, for example, tracing and writing two characters of any combination from the three characters "su", "ma", and "nu" in succession on the palm of the subject 90. The second task 5b with a low level of difficulty is a task of tracing and writing two characters of any combination from the three characters "su", "ma", and "nu" in succession on the palm of the subject 90. The second task 5b, which is more difficult, is a task in which the subject 90 traces and writes any combination of three characters consecutively from the three characters "su", "ma", and "nu" on the palm of the hand of the subject 90. Hereinafter, the second task 5b may be referred to as the "sumanu method".

[0037] <server> Next, the configuration of the server 2 will be described with reference to Fig. 4. The server 2 includes a second processor 20, a second storage unit 21, and a second data transmission unit 22. The server 2 is configured to generate index data 43 that is an index of brain function. The server 2 is also configured to transmit, to the terminal 3, an index data display screen 32a (see Fig. 7) to be displayed on a display unit 32 (see Fig. 5) included in the terminal 3 (see Fig. 5).

[0038] The second processor 20 is configured to perform various controls of the server 2 by executing a program (not shown) stored in the second storage unit 21. The second processor 20 is a computer configured to include a CPU, a GPU (Graphics Processing Unit), a ROM, a RAM, and the like.

[0039] The second storage unit 21 is configured to store various programs executed by the second processor 20. The second storage unit 21 is also configured to store the measurement result 40 transmitted from the measurement device 1 (see FIG. 2), specific information 41 for identifying the subject 90, a measurement date and time 42 which is the date and time when the measurement result 40 was measured, index data 43 which is an index of brain function, answer information 46, an index data table 43a used when selecting the index data 43, and a task 5 (a first task 5a and a second task 5b) executed by the subject 90 (see FIG. 3). In this embodiment, the second storage unit 21 is configured to store the specific information 41, the measurement result 40, the measurement date and time 42, and the index data 43 in association with each other.

[0040] The specific information 41 includes at least one of an identification number unique to the subject 90 and biometric authentication information of the subject 90. The biometric authentication information of the subject 90 includes, for example, at least one of fingerprint information of the subject 90, iris information of the subject 90, and vein arrangement pattern information of the subject 90. The second memory unit 21 includes, for example, a non-volatile storage device such as an HDD or SSD. The second memory unit 21 is an example of a "memory unit" in the claims.

[0041] The second data transmission unit 22 is configured to transmit an index data display screen 32a (see FIG. 7) acquired based on the specific information 41 to a terminal 3 (see FIG. 5) operated by the subject 90. The second data transmission unit 22 includes, for example, a communication device that communicates data via a network 80.

[0042] The index data 43 also includes a brain function state index 44 and a brain activity change index 45 .

[0043] The brain function state index 44 is an index that allows visual identification of the state of the brain function of the subject 90 during measurement. The brain function state index 44 will be described in detail later.

[0044] The brain activity change index 45 is an index including a schematic diagram 90b (see FIG. 7) that allows visual identification of changes over time in the brain activity of the subject 90 during measurement. The brain activity change index 45 will be described in detail later.

[0045] The configuration in which the server 2 generates the index data display screen 32a and the configuration in which the server 2 transmits the index data display screen 32a to the terminal 3 will be described in detail later.

[0046] <Terminal> Next, the configuration of the terminal 3 operated by the subject 90 will be described with reference to Fig. 5. The terminal 3 includes a third processor 30, a third storage unit 31, a display unit 32, a second input receiving unit 33, and a third data transmitting unit 34.

[0047] The third processor 30 is configured to perform various controls of the terminal 3 by executing a program stored in the third storage unit 31. The third processor 30 is a computer configured to include a CPU, a ROM, a RAM, and the like.

[0048] The third storage unit 31 is configured to store various programs executed by the third processor 30. The third storage unit 31 includes a non-volatile storage device, such as an HDD or an SSD.

[0049] The display unit 32 is configured to display an index data display screen 32a (see FIG. 7) acquired from the server 2 (see FIG. 4). The display unit 32 includes, for example, a liquid crystal monitor.

[0050] The second input receiving unit 33 is configured to be able to receive an operation input from the subject 90. The second input receiving unit 33 includes, for example, a touch pad. The terminal 3 includes a touch panel type display in which the display unit 32 and the second input receiving unit 33 are integrated together.

[0051] The third data transmission unit 34 is configured to transmit the specific information 41 (see FIG. 4) input by the subject 90 to the server 2 (see FIG. 4). The third data transmission unit 34 includes, for example, a communication device that communicates data via the network 80.

[0052] <Indicator Data Table> Next, with reference to Fig. 6, the index data table 43a stored in the second storage unit 21 (see Fig. 4) of the server 2 (see Fig. 4) will be described. The index data table 43a is a table in which the index value 40a, the comment 47, and the pictogram 48 are associated with each other. The index value 40a is a value acquired by the second processor 20 based on the measurement result 40 (see Fig. 4), and is a value that serves as an index when measuring the brain function of the subject 90. The comment 47 includes a plurality of comments corresponding to the index value 40a. Furthermore, the pictogram 48 includes a plurality of pictograms corresponding to the index value 40a.

[0053] In this embodiment, the index data table 43a divides the first evaluation value 40b acquired based on the index value 40a into four parts between 0 and 1, and stores the comment 47 and the pictogram 48 corresponding to each first evaluation value 40b in a linked state. That is, the comment 47 includes a first comment 47a to a fourth comment 47d corresponding to the four-part first evaluation value 40b. Also, the pictogram 48 includes a first pictogram 48a to a fourth pictogram 48d corresponding to the four-part first evaluation value 40b. The pictogram 48 is an image that represents the state of brain function of the subject 90. In this embodiment, the pictogram 48 is an image of a face that changes depending on the state of brain function of the subject 90. The first evaluation value 40b is a value calculated by substituting the index value 40a into a predetermined formula.

[0054] 6, in the index data table 43a, a first comment 47a and a first pictogram 48a are associated with a first evaluation value 40b in the range of 0.75 to 1.00. The first comment 47a is, for example, "Very sharp." The first pictogram 48a is, for example, an image of a face with the best expression among the four pictograms 48.

[0055] 6, in the index data table 43a, a second comment 47b and a second pictogram 48b are associated with a first evaluation value 40b in the range of 0.50 to 0.74. The second comment 47b is, for example, "I'm doing pretty well." The second pictogram 48b is, for example, an image of a face with the second best expression among the four pictograms 48.

[0056] 6, in the index data table 43a, a third comment 47c and a third pictogram 48c are associated with the first evaluation value 40b in the range of 0.25 to 0.49. The third comment 47c is, for example, "You're doing a great job." The third pictogram 48c is, for example, an image of a face with the third best expression among the four pictograms 48.

[0057] 6, in the index data table 43a, a fourth comment 47d and a fourth pictogram 48d are associated with the first evaluation value 40b in the range of 0.00 to 0.24. The fourth comment 47d is, for example, "I'm spacing out." The fourth pictogram 48d is, for example, an image of a face with the worst expression among the four pictograms 48.

[0058] <Index data display screen> Next, an example of the index data display screen 32a will be described with reference to Fig. 7 and Fig. 8. In this embodiment, the index data display screen 32a is generated by the server 2 (see Fig. 4) and transmitted from the server 2 to the terminal 3 (see Fig. 5). The index data display screen 32a is displayed on the display unit 32 (see Fig. 5) provided on the terminal 3. The index data display screen 32a shown in Figs. 7 and 8 is a screen intended to be displayed on a smartphone. The index data display screen 32a shown in Figs. 7 and 8 is not a separate screen, but the same (single) screen that can be displayed by a scroll operation.

[0059] First, the items displayed in the upper half of the index data display screen 32a will be described with reference to Fig. 7. The index data display screen 32a that displays the index data 43 displays a date 55 on which the index data 43 displayed on the index data display screen 32a was acquired.

[0060] In addition, a first date change button 60 and a second date change button 61 are displayed on the index data display screen 32a. The first date change button 60 is a button for changing the date 55 of the index data 43 displayed on the index data display screen 32a from the current date 55 to a date one day in the past. In addition, the second date change button 61 is a button for changing the date 55 of the index data 43 displayed on the index data display screen 32a from the current date 55 to a date one day in the future. The first date change button 60 and the second date change button 61 are push buttons displayed as a GUI (Graphical User Interface).

[0061] Further, on the index data display screen 32a, a brain function state index 44 and a brain activity change index 45 are displayed as the index data 43. In this embodiment, as shown in Fig. 7, the display unit 32 is configured to display the brain function state index 44 and the brain activity change index 45 side by side.

[0062] The brain function state index 44 includes a plurality of indexes according to the index value 40a of the brain function acquired based on the measurement result 40. Specifically, the brain function state index 44 includes at least one of a comment 47 (see FIG. 6) that can visually identify the state of the brain function of the subject 90, and a pictogram 48 (see FIG. 6) that can visually identify the state of the brain function of the subject 90. That is, the display unit 32 is configured to display at least one of the comment 47 and the pictogram 48 selected based on the index value 40a. In this embodiment, the display unit 32 displays both the comment 47 and the pictogram 48 selected based on the index value 40a. In the example shown in FIG. 7, a first comment 47a and a first pictogram 48a are displayed on the index data display screen 32a.

[0063] The brain activity change index 45 includes a moving image 45a showing a change in brain activity over time in a measurement channel when the brain of the subject 90 is measured, which allows visual identification of a change in the brain activity of the subject 90 over time during measurement. The moving image 45a is an index image showing a change in brain activity over time in four or less regions of the brain of the subject 90. That is, the display unit 32 is configured to display the moving image 45a in which the display mode of the measurement channel is changed according to the measurement result 40. In this embodiment, the moving image 45a is a moving image showing a change in brain activity over time in two regions of the brain of the subject 90. The two regions of the brain of the subject 90 include, for example, a measurement channel when measuring the occipital region of the subject 90. Specifically, the two regions of the subject 90 include the parietal lobule sandwiching the intraparietal sulcus. That is, holder 11c (see FIG. 3) holds the light transmitting probe and the light receiving probe so that they can be positioned at positions where the parietal lobule between which the intraparietal sulcus is sandwiched can be measured. Note that the change in brain activity over time refers to the change in cerebral blood flow while performing task 5 (see FIG. 4). Also, the measurement channel is a measurement point between the light transmitting probe and the light receiving probe. Also, in this embodiment, measurement unit 11e includes one light transmitting probe and one light receiving probe, and therefore includes one measurement channel for each region.

[0064] In the moving image 45a, the display mode of the circle 62 displayed on the schematic diagram 90b of the brain is changed to visually distinguish the change in cerebral blood flow. In this embodiment, for example, the moving image 45a is displayed in which the color of the circle 62 is changed according to the measurement result 40 (change in cerebral blood flow). In the moving image 45a, the display mode of the circle 62 is changed by changing the hue of the circle 62, the brightness of the circle 62, or the saturation of the circle 62. In the example shown in FIG. 7, the moving image 45a visually distinguishes the change in cerebral blood flow in the parietal lobule between which the intraparietal sulcus is sandwiched.

[0065] Also, a seek bar 63 that displays the playback position of the video 45a is displayed on the video 45a. Also, a task name 63a that enables identification of the playback position of the video 45a where the first task 5a (see FIG. 4) is being executed and the playback position of the second task 5b (see FIG. 4) is being executed is displayed on the seek bar 63.

[0066] Furthermore, the index data display screen 32a displays history information 49 of the index data 43. Specifically, the index data display screen 32a displays a first pictogram 48a and past index data 43b (past pictograms 48) as the history information 49 of the index data 43. In the example shown in FIG. 7, the index data display screen 32a displays, as the past index data 43b, history information 49 including a plurality of pictograms 48 according to dates 55 in an arranged manner. Specifically, data for the past five times is displayed when the date 55 on which the index data 43 was acquired is set as the starting date. That is, a total of six pictograms 48 are displayed as the history information 49.

[0067] Next, with reference to FIG. 8, the items displayed in the lower half of the index data display screen 32a will be described.

[0068] As shown in FIG. 8, answer information 46 and a graph image 52 are displayed in the lower half of the index data display screen 32a.

[0069] The answer information 46 is information on the answers of the subject 90 to the first task 5a and the second task 5b. Specifically, the answer information 46 includes first answer information 50 which is the answer of the subject 90 to the first task 5a, and second answer information 51 which is the answer of the subject 90 to the second task 5b.

[0070] The first answer information 50 includes information 50a on whether the answer of the subject 90 to the first task 5a was correct, the number of answers 50b of the subject 90, the answer finally input by the subject 90 (final answer 50c), and a correct answer 50d. In the example shown in FIG. 8, as the information 50a on whether the answer was correct, if the answer was correct, "◯" is displayed, and if the answer was incorrect, "×" is displayed. Furthermore, as the number of answers 50b of the subject 90, the number of times the subject 90 has answered the first task 5a (see FIG. 4) is displayed. Furthermore, as the final answer 50c, the answer input by the subject 90 is displayed. Furthermore, as the correct answer 50d, the value of the correct answer of the number of times the subject 90 has answered is displayed. The first answer information 50 is displayed for each level of difficulty.

[0071] The second answer information 51 includes information 51a on whether the answer of the subject 90 to the second task 5b was correct, an answer 51b of the subject 90, and a correct answer 51c. In the example shown in FIG. 8, as the information 51a on whether the answer was correct, if the answer was correct, "◯" is displayed, and if the answer was incorrect, "×" is displayed. In addition, the example shown in FIG. 8 shows a case where the "Sumanu method" is presented as the second task 5b. Therefore, as the answer 51b of the subject 90, two or three letters of "Su", "Ma", and "Nu" that the subject 90 answered are displayed in the order in which the subject 90 answered. In addition, as the correct answer 51c, two or three letters of "Su", "Ma", and "Nu" that were presented to the subject 90 are displayed in the order in which they were presented. In addition, the second answer information 51 is also displayed according to the degree of difficulty.

[0072] As shown in FIG. 8, a graph image 52 is displayed on the index data display screen 32a. The graph image 52 is an image of a graph 52a generated based on a second evaluation value 56 based on the answer information 46. The horizontal axis of the graph 52a is the measurement date and time 42 (see FIG. 4), and the vertical axis is the second evaluation value 56. In addition, a corresponding number is displayed as the second evaluation value 56 on the graph 52a. In the example shown in FIG. 8, a bar graph is shown as the graph 52a, but the graph 52a may be a line graph. The second evaluation value 56 is obtained based on the number of correct answers or the accuracy rate obtained from the answer information 46. The second evaluation value 56 is an example of an "evaluation value based on answer information" in the claims.

[0073] In this embodiment, for convenience, the index data display screen 32a is illustrated in both Fig. 7 and Fig. 8, but in reality, the index data display screen 32a is displayed as one screen on the display unit 32 (see Fig. 5). That is, the index data display screen 32a displays answer information 46 together with the index data 43. In other words, the display unit 32 is configured to display the answer information 46 together with the index data 43. In addition, the index data display screen 32a displays a graph image 52 together with the index data 43. That is, the display unit 32 is configured to display the graph image 52 together with the index data 43.

[0074] Brain function measurement processing Next, the brain function measuring process in the brain function index generating method according to this embodiment will be described with reference to FIG.

[0075] The brain function measurement process is roughly divided into step 101 of measurement process executed by the measurement device 1 (see FIG. 1), step 300 of transmission of task 5 (see FIG. 4), generation of index data 43 (see FIG. 4), and transmission process of the index data 43 executed by the server 2 (see FIG. 4), and step 400 of acquisition and display process of the index data 43 executed by the terminal 3 (see FIG. 1). Note that the brain function measurement process shown in FIG. 9 is executed on the premise that the subject 90 has registered the specific information 41 in the server 2 in advance.

[0076] In step 101a, the first processor 10 (see FIG. 2) of the measurement device 1 (see FIG. 2) acquires the specific information 41 input by the subject 90.

[0077] In step 101b, the first processor 10 transmits the specific information 41 to the server 2 (see FIG. 4) via the first data transmission unit 13 (see FIG. 2). That is, through the processes of steps 101a and 101b, the subject 90 logs into the brain function index generating system 100 using the measurement device 1.

[0078] Next, the process proceeds to the process in the server 2. That is, in step 300a, the second processor 20 (see FIG. 4) receives the identification information 41 transmitted from the measuring device 1 (first data transmission unit 13).

[0079] In step 300b, the second processor 20 acquires the task 5 (see FIG. 4) based on the identification information 41. Specifically, the second processor 20 acquires the first task 5a (see FIG. 4) and the second task 5b (see FIG. 4) based on the identification information 41.

[0080] In step 300c, the second processor 20 transmits the task 5 to the measuring device 1. Specifically, the second processor 20 transmits the first task 5a and the second task 5b to the measuring device 1.

[0081] The process again shifts to the measuring device 1. That is, in step 101c, the first processor 10 receives the task 5. Specifically, the first processor 10 receives the first task 5a and the second task 5b.

[0082] In step 101d, the first processor 10 starts acquiring the signal 4 (see FIG. 10) by the signal measuring unit 11 (see FIG. 10).

[0083] In step 101e, the first processor 10 presents a task 5 for measuring the brain function of the subject 90 via the task presenter 12. The first processor 10 does not present the first task 5a and the second task 5b simultaneously in parallel, but presents the first task 5a and the second task 5b in a preset order. Specifically, the second task presenter 12b presents the second task 5b. Thereafter, the first task presenter 12a presents the first task 5a. The second task presenter 12b may present the second task 5b after the first task presenter 12a presents the first task 5a.

[0084] In step 101f, the first processor 10 acquires the measurement result 40 (see FIG. 10) of the signal 4 (see FIG. 10) based on the blood flow in the brain of the subject 90 (see FIG. 3). Specifically, the first processor 10 acquires the measurement result 40 before and after the task is presented, and the measurement result 40 while the task 5 is presented. Note that the first processor 10 acquires the measurement result 40 while the second task 5b is presented, and the measurement result 40 while the first task 5a is presented, as the measurement result 40 while the task 5 is presented. That is, in step 101f, the first processor 10 ends the acquisition of the signal 4 by the signal measuring unit 11, and acquires the signal 4 from the start of the acquisition of the signal 4 to the end of the acquisition as the measurement result 40. In other words, the measurement result 40 is a data group of a plurality of measured signals 4.

[0085] In step 101g, the first processor 10 transmits the measurement result 40 to the server 2 via the first data transmission unit 13. The first processor 10 transmits the measurement result 40 to the server 2 together with identification information 41 for identifying the subject 90. Thereafter, the processing by the measuring device 1 ends. The first processor 10 may be configured to display a message indicating that the measurement has ended before ending the processing by the measuring device 1.

[0086] Next, the process moves to the server 2. That is, in step 300d, the second processor 20 receives the measurement result 40. The second processor 20 also receives the identification information 41 together with the measurement result 40.

[0087] In step 300e, the second processor 20 acquires index data 43 (see FIG. 4) that is an index of brain function based on the measurement result 40. In this embodiment, the second processor 20 acquires a brain function state index 44 (see FIG. 4) and a brain activity change index 45 (see FIG. 4) as the index data 43. Specifically, the second processor 20 acquires at least one of a comment 47 that can visually identify the state of the brain function of the subject 90 during measurement and a pictogram 48 that can visually identify the brain function of the subject 90, and a video image 45a that shows a time-dependent change in brain activity in the measurement channel when the brain of the subject 90 is measured, which can visually identify the time-dependent change in the brain activity of the subject 90 during measurement, as the index data 43. Details of the configuration in which the second processor 20 generates the index data 43 will be described later.

[0088] In step 300f, the second processor 20 stores the specific information 41, the measurement results 40, and the index data 43 in association with each other.

[0089] Next, the process proceeds to the terminal 3. That is, in step 400a, the third processor 30 (see FIG. 5) acquires the specific information 41 input based on the operation input of the subject 90.

[0090] In step 400b, the third processor 30 transmits the specific information 41 to the server 2 via the third data transmission unit 34. That is, through the processes of steps 400a and 400b, the subject 90 logs in to the brain function index generating system 100 using the terminal 3.

[0091] At this point, the process moves to the server 2. That is, in step 300g, the second processor 20 receives the specific information 41 transmitted from the terminal 3.

[0092] In step 300h, the second processor 20 acquires the index data 43 based on the received specific information 41. The second processor 20 also generates an index data display screen 32a that displays the acquired index data 43 (see FIG. 7).

[0093] In step 300i, the second processor 20 transmits the generated index data display screen 32a to the terminal 3 operated by the subject 90. The processing in the server 2 ends.

[0094] Here, the process again shifts to the terminal 3. That is, in step 400c, the third processor 30 receives the index data display screen 32a.

[0095] In step 400d, the third processor 30 displays the index data display screen 32a on the terminal 3 (display unit 32 (see FIG. 9)). Then, the process ends.

[0096] <Transmission of information from the measuring device to the server> Next, a configuration in which the first processor 10 transmits the measurement result 40 to the server 2 will be described with reference to FIG.

[0097] 10, the first processor 10 includes a measurement result acquisition unit 10a, a first identification information acquisition unit 10b, and a first data association unit 10c. The measurement result acquisition unit 10a, the first identification information acquisition unit 10b, and the first data association unit 10c are configured in software as functional blocks realized by the first processor 10 executing various programs. The measurement result acquisition unit 10a, the first identification information acquisition unit 10b, and the first data association unit 10c may be configured in hardware by providing a dedicated processor (processing circuit) for the measurement device 1 (see FIG. 2).

[0098] The measurement result acquiring unit 10a is configured to acquire a measurement result 40 of a signal 4 based on the blood flow in the brain of the subject 90. The measurement result acquiring unit 10a also acquires a measurement date and time 42, which is information on the date and time when the signal 4 was acquired, from a time server (not shown). The measurement result acquiring unit 10a also outputs the measurement result 40 and the measurement date and time 42 to the first data associating unit 10c.

[0099] The first identification information acquiring unit 10b acquires the identification information 41 input by the subject 90 via the first input accepting unit 14. In addition, the first identification information acquiring unit 10b outputs the acquired identification information 41 to the first data associating unit 10c.

[0100] The first data association unit 10c acquires the measurement result 40 and the measurement date and time 42 from the measurement result acquisition unit 10a. The first data association unit 10c also acquires the identification information 41 from the first identification information acquisition unit 10b. The first data association unit 10c also acquires the answer information 46 input by the subject 90 via the first input reception unit 14. The first data association unit 10c acquires the first association data 53 by associating the acquired identification information 41, the measurement result 40, the answer information 46, and the measurement date and time 42. The first association data 53 is data in which the identification information 41, the measurement result 40, the measurement date and time 42, and the answer information 46 are linked so that the subject 90 can be identified by the identification information 41. The first data association unit 10c outputs the first association data 53 to the first data transmission unit 13.

[0101] The first data transmission unit 13 transmits the first association data 53 input from the first data association unit 10c to the server 2. That is, the first data transmission unit 13 transmits the identification information 41, the measurement result 40, the measurement date and time 42, and the response information 46 to the server 2 in a state in which they are associated with each other.

[0102] <Indicator data generation> Next, a configuration in which the second processor 20 generates the index data 43 and stores it in the second storage unit 21 will be described with reference to FIG.

[0103] The second processor 20 includes an index value acquisition unit 20a, a second identification information acquisition unit 20b, an index data acquisition unit 20c, and a second data association unit 20d. The index value acquisition unit 20a, the second identification information acquisition unit 20b, the index data acquisition unit 20c, and the second data association unit 20d are configured in software as functional blocks realized by the second processor 20 executing various programs. The index value acquisition unit 20a, the second identification information acquisition unit 20b, the index data acquisition unit 20c, and the second data association unit 20d may be configured in hardware by providing a dedicated processor (processing circuit) for the server 2 (see FIG. 4).

[0104] The index value acquiring unit 20a is configured to acquire an index value 40a of brain function acquired based on the measurement result 40. In this embodiment, the index value acquiring unit 20a acquires the measurement result 40 from among the data included in the first association data 53 transmitted from the first data transmitting unit 13. The index value acquiring unit 20a acquires, for example, an average value of the waveform of the measurement result 40, a value indicating the area center of gravity of the waveform of the measurement result 40, or a value indicating the slope (maximum value of the slope) of the waveform of the measurement result 40 as the index value 40a. The waveform of the measurement result 40 is a curve indicating a change in the blood flow rate of the brain. The index value acquiring unit 20a is configured to acquire the index value 40a in each measurement channel.

[0105] Moreover, the index value acquiring section 20a outputs the acquired index value 40a and the measurement result 40 to the index data acquiring section 20c. Moreover, the index value acquiring section 20a outputs the acquired measurement result 40 to the second data associating section 20d.

[0106] The index data acquiring unit 20c is configured to select the brain functional state index 44 based on the index value 40a. Specifically, the index data acquiring unit 20c is configured to select at least one of the comment 47 and the pictogram 48 based on the index value 40a. More specifically, the index data acquiring unit 20c is configured to select at least one of the comment 47 and the pictogram 48 based on the first evaluation value 40b. In this embodiment, the index data acquiring unit 20c selects both the comment 47 and the pictogram 48 from the index data table 43a (see FIG. 6) based on the first evaluation value 40b.

[0107] As shown in Fig. 6, when the first evaluation value 40b is between 0.00 and 0.24, the index data acquiring unit 20c selects the fourth comment 47d and the fourth pictogram 48d. When the first evaluation value 40b is between 0.25 and 0.49, the index data acquiring unit 20c selects the third comment 47c and the third pictogram 48c. When the first evaluation value 40b is between 0.50 and 0.74, the index data acquiring unit 20c selects the second comment 47b and the second pictogram 48b. When the first evaluation value 40b is between 0.75 and 1.00, the index data acquiring unit 20c selects the first comment 47a and the first pictogram 48a.

[0108] 11 again, the index data acquiring unit 20c is configured to acquire a brain activity change index 45 based on the measurement result 40. Specifically, the index data acquiring unit 20c is configured to acquire an index image based on the measurement result 40. More specifically, the index data acquiring unit 20c is configured to acquire a moving image 45a in which the display mode of the measurement channel is changed according to the measurement result 40. In this embodiment, the index data acquiring unit 20c is configured to generate the moving image 45a based on the measurement result 40.

[0109] The index data acquiring unit 20c outputs the acquired brain functional state index 44 and brain activity change index 45 to the second data associating unit 20d.

[0110] The second identification information acquisition unit 20b is configured to acquire the identification information 41 from the first association data 53 transmitted from the first data transmission unit 13. Moreover, the second identification information acquisition unit 20b outputs the acquired identification information 41 to the second data association unit 20d.

[0111] The second data association unit 20d acquires the measurement result 40 from the index value acquisition unit 20a. The second data association unit 20d also acquires the identification information 41 from the second identification information acquisition unit 20b. The second data association unit 20d also acquires the index data 43 (brain function state index 44 and brain activity change index 45) from the index data acquisition unit 20c. The second data association unit 20d also acquires the measurement date and time 42 and answer information 46 included in the first association data 53. The second data association unit 20d acquires second association data 54 in which the measurement result 40, the index data 43, and the identification information 41 are associated with each other. The second association data 54 is data in which the measurement result 40, the identification information 41, and the index data 43 are linked together so that the subject 90 can be identified by the identification information 41. In the present embodiment, the second data associating unit 20d associates the measurement result 40, the index data 43, the specific information 41, the measurement date and time 42, and the response information 46 as second association data 54. The second data associating unit 20d outputs the second association data 54 to the second storage unit 21.

[0112] The second storage unit 21 stores the second association data 54. That is, the second storage unit 21 stores the specific information 41, the measurement result 40, and the index data 43 in an associated state. Moreover, the second storage unit 21 stores the measurement result 40 and the index data 43 for each subject 90 every time the measurement result 40 is measured. Therefore, the second storage unit 21 stores the measurement result 40 and the index data 43 for each subject 90 in the order of the measurement date and time 42.

[0113] <Transmission of index data from server to terminal> Next, a configuration in which the server 2 (see FIG. 4) transmits the index data 43 to the terminal 3 will be described with reference to FIG.

[0114] 12, the second processor 20 further includes a screen generating unit 20e, an answer correct / incorrect information acquiring unit 20f, an evaluation value acquiring unit 20g, a graph image generating unit 20h, and a history information acquiring unit 20i. The screen generating unit 20e, the answer correct / incorrect information acquiring unit 20f, the evaluation value acquiring unit 20g, the graph image generating unit 20h, and the history information acquiring unit 20i are configured in software as functional blocks realized by the second processor 20 executing various programs. The screen generating unit 20e, the answer correct / incorrect information acquiring unit 20f, the evaluation value acquiring unit 20g, the graph image generating unit 20h, and the history information acquiring unit 20i may be configured in hardware by providing a dedicated processor (processing circuit) for the server 2 (see FIG. 4).

[0115] The answer correctness information acquiring unit 20f is configured to acquire answer information 46 of the subject 90 (see FIG. 3) for the first task 5a (see FIG. 4) and the second task 5b (see FIG. 4). Specifically, the answer correctness information acquiring unit 20f acquires the identification information 41 and the date 55 from the third data transmitting unit 34. The answer correctness information acquiring unit 20f acquires the answer information 46 from the second storage unit 21 based on the identification information 41 and the date 55. The answer correctness information acquiring unit 20f outputs the acquired answer information 46 to the screen generating unit 20e and the evaluation value acquiring unit 20g.

[0116] The evaluation value acquisition unit 20g is configured to acquire a second evaluation value 56 based on the answer information 46. The evaluation value acquisition unit 20g acquires the answer information 46 from the answer correctness information acquisition unit 20f. The evaluation value acquisition unit 20g also generates a second evaluation value 56 based on the number of correct answers or the accuracy rate acquired from the answer information 46. The evaluation value acquisition unit 20g outputs the acquired second evaluation value 56 to the graph image generation unit 20h.

[0117] The graph image generating unit 20h is configured to generate a graph image 52 based on the second evaluation value 56. The graph image generating unit 20h acquires the second evaluation value 56 from the evaluation value acquiring unit 20g. The graph image generating unit 20h also generates an image showing a bar graph 52a (see FIG. 8) as the graph image 52. The graph image generating unit 20h outputs the generated graph image 52 to the screen generating unit 20e.

[0118] Here, there is a case where the subject 90 wants to check the history information 49 including the index data 43 of the desired date 55 and the past index data 43b which is the index data 43 prior to that date, among the index data 43 stored in the server 2. Therefore, in this embodiment, the history information acquiring unit 20i is configured to acquire the history information 49.

[0119] Specifically, the history information acquisition unit 20i is configured to acquire the identification information 41 and the date 55 from the terminal 3. The history information acquisition unit 20i identifies the pictogram 48 of the starting date and the past index data 43b (past pictograms 48) that is the index data 43 older than the starting date, with the date 55 transmitted from the terminal 3 being the starting date. The number of pieces of index data 43 acquired by the history information acquisition unit 20i is preset and stored in the second storage unit 21. In this embodiment, for example, six pieces of index data 43 (for six days) are acquired as the multiple pictograms 48. That is, the history information acquisition unit 20i identifies the pictograms 48 for a total of six days, including the pictogram 48 of the starting date and the past pictograms 48 for the past five days from the starting date.

[0120] The history information acquisition unit 20i outputs the identified pictogram 48 and the past pictograms 48 as history information 49 to the screen generation unit 20e.

[0121] The screen generating unit 20e is configured to generate an index data display screen 32a that displays index data 43. Specifically, the screen generating unit 20e acquires the index data 43 from the second storage unit 21. The screen generating unit 20e also acquires answer information 46 from the answer correctness information acquiring unit 20f. The screen generating unit 20e also acquires a graph image 52 from the graph image generating unit 20h. The screen generating unit 20e also acquires history information 49 from the history information acquiring unit 20i.

[0122] The screen generating unit 20e generates an index data display screen 32a based on the acquired index data 43, answer information 46, graph image 52, and history information 49. In this embodiment, the screen generating unit 20e is configured to generate an index data display screen 32a that displays the answer information 46 together with the index data 43. The screen generating unit 20e is also configured to generate an index data display screen 32a that displays the graph image 52 together with the index data 43. The screen generating unit 20e is also configured to generate an index data display screen 32a that displays, based on an input date 55, an array of history information 49 including a plurality of pictograms 48 corresponding to the date 55.

[0123] The screen generating unit 20e outputs the generated index data display screen 32a to the second data transmitting unit 22.

[0124] The second data transmission unit 22 is configured to transmit to the terminal 3 the index data display screen 32a input from the screen generation unit 20e.

[0125] (Effects of this embodiment) In this embodiment, the following effects can be obtained.

[0126] In this embodiment, as described above, the brain function index generating system 100 includes a measurement result acquiring unit 10a that acquires the measurement result 40 of the signal 4 based on the blood flow in the brain of the subject 90, an index data acquiring unit 20c that acquires, based on the measurement result 40, index data 43 including at least one of a comment 47 that can visually identify the state of the brain function of the subject 90 during measurement and a pictogram 48 that can visually identify the state of the brain function of the subject 90, and a moving image 45a showing the change over time in the brain activity in the measurement channel when the brain of the subject 90 is measured, the moving image 45a including a schematic diagram 90b that can visually identify the change over time in the brain activity of the subject 90 during measurement, and a screen generating unit 20e that generates an index data display screen 32a that displays the acquired index data 43.

[0127] As a result, on the index data display screen 32a, at least one of the comment 47 that can visually identify the state of the brain function of the subject 90 during measurement and the pictogram 48 that can visually identify the state of the brain function of the subject 90, and the moving image 45a that shows the change over time of the brain activity in the measurement channel when the brain of the subject 90 is measured, which can visually identify the change over time of the brain activity of the subject 90 during measurement, is displayed as index data 43. Therefore, the subject 90 can visually grasp the state of the brain function by checking at least one of the comment 47 and the pictogram 48 on the index data display screen 32a. Also, the subject 90 can visually grasp the change over time of the brain activity by checking the moving image 45a on the index data display screen 32a. Therefore, the subject 90 can visually and intuitively grasp both the state of brain function and the change in brain activity over time by checking at least one of the comments 47 and the pictograms 48 and both the moving images 45a on the index data display screen 32a. As a result, unlike a configuration in which, for example, numerical data and graphs of the index are displayed, even the subject 90 who does not have specialized knowledge can easily understand the contents of the index of brain function (index data 43).

[0128] In the present embodiment, as described above, the brain function index display system 200 includes a signal measurement unit 11 that measures a signal 4 based on the blood flow in the brain of the subject 90, a measurement result acquisition unit 10a that acquires a measurement result 40 of the signal 4, an index data acquisition unit 20c that acquires, based on the measurement result 40, index data 43 including at least one of a comment 47 that can visually identify the state of the brain function of the subject 90 during measurement and a pictogram 48 that can visually identify the state of the brain function of the subject 90, and a video 45a showing a change over time in brain activity in the measurement channel when the brain of the subject 90 is measured, the video 45a including a schematic diagram 90b that can visually identify the change over time in the brain activity of the subject 90 during measurement, a server 2 including a memory unit (second memory unit 21) that stores the specific information 41 that identifies the subject 90, the measurement result 40, and the index data 43 in association with each other, and a terminal 3 including a display unit 32 that displays the index data 43.

[0129] This makes it possible to provide a brain function index display system 200 that enables even a subject 90 without specialized knowledge to easily understand the contents of the brain function index data 43 (index data 43), similar to the above-mentioned brain function index generating system 100.

[0130] Furthermore, in this embodiment, as described above, the brain function index generating method includes the steps of: acquiring measurement results 40 of a signal 4 based on the blood flow in the brain of the subject 90; acquiring index data 43 based on the measurement results 40, the index data 43 including at least one of a comment 47 that visually identifies the state of the brain function of the subject 90 during measurement and a pictogram 48 that corresponds to the state of the brain function of the subject 90, and a dynamic image 45a that shows a change over time in brain activity in the measurement channel when the brain of the subject 90 is measured, the change over time in the brain activity of the subject 90 during measurement being visually identifiable; generating an index data display screen 32a that displays the acquired index data 43; and displaying the index data display screen 32a.

[0131] This makes it possible to provide a brain function index generating method that enables even a subject 90 without specialized knowledge to easily understand the contents of the brain function index (index data 43), similar to the above-mentioned brain function index generating system 100.

[0132] In addition, in the above embodiment, the following additional effects can be obtained by configuring as follows.

[0133] That is, in this embodiment, as described above, the comment 47 and the pictogram 48 include a plurality of comments (first comment 47a to fourth comment 47d) and a plurality of pictograms (first pictogram 48a to fourth pictogram 48d) according to the index value 40a of the brain function acquired based on the measurement result 40, and the index data acquisition unit 20c is configured to select at least one of the comment 47 and the pictogram 48 based on the index value 40a. This makes it possible to generate an index data display screen 32a that displays at least one of the stepwise comment 47 and the pictogram 48 according to the index value 40a. As a result, the subject 90 can easily grasp the state of the brain function step by step by checking at least one of the comment 47 and the pictogram 48 displayed on the index data display screen 32a.

[0134] In the present embodiment, as described above, the moving image 45a is a moving image showing changes over time in brain activity in four or less regions of the brain of the subject 90, and the index data acquiring unit 20c is configured to acquire the moving image 45a based on the measurement result 40. This allows the number of regions displayed in the moving image 45a to be reduced, for example, compared to a configuration in which changes over time in four or more measurement regions are displayed in the moving image 45a. As a result, it becomes possible to display, on the moving image 45a, changes over time in brain activity only in the region corresponding to the brain function to be measured among the brain functions of the subject 90, so that it is possible to easily visually recognize changes over time in brain activity in the region corresponding to the brain function to be measured.

[0135] In this embodiment, as described above, the index data acquisition unit 20c is configured to acquire the moving image 45a in which the display mode of the measurement channel is changed according to the measurement result 40. As a result, the moving image 45a in which the display mode of the measurement channel is changed according to the measurement result 40 is displayed, so that, for example, unlike a configuration in which the measurement result 40 is displayed as it is, it is possible to visually easily grasp the change in brain activity over time in the measurement channel.

[0136] In this embodiment, as described above, the measurement result acquisition unit 10a is configured to measure the measurement result 40 while the task 5 for measuring brain function is presented, and the task 5 includes a first task 5a related to memory and a second task 5b related to sensory stimulation and memory. The measurement result acquisition unit 10a further includes an answer correct / incorrect information acquisition unit 20f that acquires answer information 46 of the subject 90 to the first task 5a and the second task 5b, and the screen generation unit 20e is configured to generate an index data display screen 32a that displays the answer information 46 together with the index data 43. In this way, by displaying the index data display screen 32a that displays the answer information 46, the subject 90 can confirm not only the index of brain function but also the answer information 46 in addition to the answer to the task 5. As a result, the answer information 46 makes it possible to confirm the performance for the task 5, and therefore the motivation of the subject 90 when performing training to recover brain function can be improved.

[0137] In addition, in this embodiment, as described above, the evaluation value acquisition unit 20g that acquires the second evaluation value 56 based on the answer information 46 and the graph image generation unit 20h that generates the graph image 52 based on the second evaluation value 56 are further provided, and the screen generation unit 20e is configured to generate an index data display screen 32a that displays the graph image 52 together with the index data 43. This allows the second evaluation value 56 to be visually grasped by the graph image 52 by checking the index data display screen 32a that displays the graph image 52. As a result, for example, it is possible to visually grasp the change in the second evaluation value 56 on multiple measurement dates more easily than in a configuration in which the second evaluation values ​​56 based on the answer information 46 on multiple measurement dates are displayed side by side.

[0138] In addition, as described above, this embodiment further includes a storage unit (second storage unit 21) that chronologically stores the measurement results 40 and the index data 43 for each subject 90, and the screen generator 20e is configured to generate an index data display screen 32a that displays, based on an input date 55, history information 49 including a plurality of pictograms 48 corresponding to the date 55 in an arranged manner. This allows the subject 90 to input the date 55 that he or she wishes to check, and check the history information 49 corresponding to the input date 55. As a result, the convenience (usability) for the subject 90 can be improved.

[0139] In the present embodiment, as described above, the display unit 32 is configured to display at least one of the comment 47 and the pictogram 48 and the video 45a side by side. This allows the user to easily grasp at a glance both the comment 47 and the pictogram 48 and the video 45a on the index data display screen 32a.

[0140] In this embodiment, as described above, the comments 47 and the pictograms 48 include at least one of a plurality of comments 47 and a plurality of pictograms 48 corresponding to the index value 40a of the brain function acquired based on the measurement result 40, and the display unit 32 is configured to display at least one of the comments 47 and the pictograms 48 selected based on the index value 40a. This allows the subject 90 to easily visually grasp the state of the brain function by checking at least one of the comments 47 and the pictograms 48 displayed on the index data display screen 32a.

[0141] In this embodiment, as described above, the display unit 32 is configured to display the moving image 45a in which the display mode of the measurement channel is changed according to the measurement result 40. This allows the subject 90 to easily visually grasp the change over time of the brain activity in the measurement channel by checking the moving image 45a.

[0142] In this embodiment, as described above, the measurement result acquisition unit 10a is configured to measure the measurement result 40 while the task 5 for measuring brain function is presented, and the task 5 includes a first task 5a related to memory and a second task 5b related to sensory stimulation and memory, and further includes an answer correct / incorrect information acquisition unit 20f that acquires information 46 of the subject's answers to the first task 5a and the second task 5b, and the display unit 32 is configured to display the answer information 46 together with the index data 43. This allows the subject 90 to check not only the index of brain function but also the answer information 46 for the task 5 by checking the index data display screen 32a of the display unit 32. As a result, the answer information 46 makes it possible to check the performance for the task 5, which can improve the motivation of the subject 90 when performing training to recover brain function.

[0143] [Variations] The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The scope of the present invention is indicated by the claims, not by the description of the embodiments above, and further includes all modifications (variations) within the meaning and scope of the claims.

[0144] For example, in the above embodiment, an example of a configuration in which the index data acquisition unit 20c selects at least one of the comment 47 and the pictogram 48 based on the index value 40a has been described, but the present invention is not limited to this. For example, the index data acquisition unit 20c may be configured to acquire at least one of the comment 47 and the pictogram 48 from the measurement result 40 without using the index value 40a. As long as it is possible to acquire at least one of the comment 47 and the pictogram 48, the method by which the index data acquisition unit 20c acquires at least one of the comment 47 and the pictogram 48 is not important.

[0145] In the above embodiment, the index data acquiring unit 20c selects both the comment 47 and the pictogram 48, but the present invention is not limited to this. For example, the index data acquiring unit 20c may be configured to select at least one of the comment 47 and the pictogram 48.

[0146] In the above embodiment, the index data acquiring unit 20c generates the moving image 45a, but the present invention is not limited to this. For example, the index data acquiring unit 20c may be configured to generate a still image as an index showing a change over time in brain activity in a measurement channel when measuring the brain of the subject 90, which allows visual identification of a change over time in the brain activity of the subject 90 during measurement.

[0147] In the above embodiment, the index data acquiring unit 20c acquires index images showing changes over time in two regions including the parietal lobule sandwiching the intraparietal sulcus as four or less regions of the brain of the subject 90, but the present invention is not limited to this. For example, the index data acquiring unit 20c may be configured to acquire index images showing changes over time in a total of four regions, including two regions including the parietal lobule sandwiching the intraparietal sulcus and two regions including the bilateral dorsolateral prefrontal cortex, as regions of the brain of the subject 90.

[0148] In the above embodiment, the index data acquiring unit 20c acquires index images showing changes over time in brain activity in four or less regions of the brain of the subject 90, but the present invention is not limited to this. For example, the index data acquiring unit 20c may be configured to acquire index images showing changes over time in brain activity in more than four regions.

[0149] In the above embodiment, the second processor 20 includes the answer correctness information acquisition unit 20f. However, the present invention is not limited to this. The second processor 20 does not necessarily have to include the answer correctness information acquisition unit 20f.

[0150] In the above embodiment, the second processor 20 includes the evaluation value acquisition unit 20g and the graph image generation unit 20h, but the present invention is not limited to this. The second processor 20 does not have to include the evaluation value acquisition unit 20g and the graph image generation unit 20h.

[0151] In the above embodiment, the second processor 20 includes the history information acquisition unit 20i, but the present invention is not limited to this. The second processor 20 does not necessarily have to include the history information acquisition unit 20i.

[0152] In the above embodiment, the index data display screen 32a is a portrait screen displayed on a smartphone or the like, but the present invention is not limited to this. For example, the index data display screen 32a may be a landscape screen when displayed on a tablet terminal or a personal computer.

[0153] In the above embodiment, the brain function index generating system 100 is configured by the measuring device 1 and the server 2, but the present invention is not limited to this. For example, the brain function index generating system 100 may be configured in any one of the measuring device 1, the server 2, and the terminal 3. When the brain function index generating system 100 is configured by the measuring device 1, each functional block of the second processor 20 may be configured to be executed by the first processor 10. When the brain function index generating system 100 is configured by the server 2, the measurement result acquisition unit 10a may be configured to be executed by the second processor 20. When the brain function index generating system 100 is configured by the terminal 3, each functional block of the measurement result acquisition unit 10a and the second processor 20 may be configured to be executed by the third processor 30.

[0154] In the above embodiment, the task presenter 12 and the measurement result acquirer 10a are provided in a single measurement device 1, but the present invention is not limited to this. The task presenter 12 and the measurement result acquirer 10a may be provided in different devices.

[0155] In the present embodiment, the holder 11c holds the measurement unit 11e including the light transmitting probe and the light receiving probe, and the measurement unit 11e and the measurement device 1 are connected by the optical fiber 11d, but the present invention is not limited to this. For example, the measurement unit 11e may be configured to include a light source, a light transmitting probe, an optical sensor, and a light receiving probe, and to be connected to the measurement device 1 by a signal line. Also, for example, the measurement unit 11e including the light source, the light transmitting probe, the optical sensor, and the light receiving probe may be configured to be connected to the measurement device 1 by wireless connection.

[0156] In the above embodiment, an example of a configuration in which the index value acquiring unit 20a is provided in the server 2 has been described, but the present invention is not limited to this. For example, the index data generating unit may be provided in the measurement device 1. When the index data generating unit is provided in the measurement device 1, the measurement device 1 may be configured to transmit index data 43 together with the measurement result 40 to the server 2.

[0157] In the above embodiment, the task 5 includes both the first task 5a and the second task 5b. However, the present invention is not limited to this. For example, the task 5 may include only one of the first task 5a and the second task 5b. In this case, the task presenter 12 may include either the first task presenter 12a or the second task presenter 12b according to the task 5 to be presented. However, if the task 5 includes only one of the first task 5a and the second task 5b, the measurement accuracy of the brain function of the subject 90 decreases. Therefore, it is preferable that the task 5 includes both the first task 5a and the second task 5b.

[0158] In the above embodiment, the second task presenting unit 12b writes characters by pressure stimulation, but the present invention is not limited to this. In the present invention, the second task presenting unit 12b may be configured to present the second task 5b by a sensory stimulation other than pressure stimulation, such as a cold sensory stimulation, as long as it is possible to give the subject 90 the sensation of writing characters on the palm of his / her hand.

[0159] In the above embodiment, an example of a configuration in which the first task presenting unit 12a presents a subtraction calculation problem to the subject 90 as the first task 5a has been shown, but the present invention is not limited to this. In the present invention, the first task presenting unit 12a may present any calculation problem involving the four arithmetic operations to the subject 90. In addition, the task presented by the first task presenting unit 12a may be any task as long as it is possible to measure cognitive functions such as age, date of measurement, measurement location, immediate memory of words and objects, reciting numbers backwards, and recalling names of vegetables.

[0160] In the above embodiment, an example of a configuration in which the task presenter 12 presents the task 5 for measuring the cognitive function of the subject 90 has been described, but the present invention is not limited to this. For example, the task presenter 12 may be configured to present a task that can measure a brain function other than the cognitive function of the subject 90. For example, the task presenter 12 may be configured to present a task that can measure the motor function of the brain of the subject 90.

[0161] In the above embodiment, an example of a configuration in which the measurement device 1 (first processor 10) acquires the task 5 from the server 2 has been described, but the present invention is not limited to this. For example, the task 5 may be stored in the first storage unit 15 included in the measurement device 1. In this case, the measurement device 1 acquires information for identifying the task 5 to be presented to the subject 90 from the server 2, and presents the task 5 stored in the first storage unit 15 by the task presentation unit 12 based on the acquired information for identifying the task 5.

[0162] In the above embodiment, the holder 11c holds four measurement units 11e, but the present invention is not limited to this. For example, the holder 11c may hold two measurement units 11e. The number of measurement units 11e held by the holder 11c may be set arbitrarily.

[0163] In the above embodiment, the measurement unit 11e is configured to include one light transmitting probe and one light receiving probe, but the present invention is not limited to this. For example, the measurement unit 11e may be configured to include two light transmitting probes and two light receiving probes. The number of light transmitting probes and the number of light receiving probes included in the measurement unit 11e can be set arbitrarily.

[0164] [Aspects] It will be readily apparent to those skilled in the art that the above exemplary embodiment is a specific example of the following aspects.

[0165] (Item 1) a measurement result acquisition unit for acquiring measurement results of signals based on blood flow in the brain of a subject; an index data acquisition unit that acquires index data based on the measurement results, the index data including at least one of a comment that visually identifies the state of the subject's brain function during measurement and a pictogram that visually identifies the subject's brain function, and a video image showing a time-dependent change in brain activity in a measurement channel when the subject's brain is measured, the video image showing a time-dependent change in the subject's brain activity during measurement; a screen generating unit that generates an index data display screen that displays the acquired index data.

[0166] (Item 2) the comments and the pictograms include a plurality of the comments and a plurality of the pictograms corresponding to the index values ​​of the brain functions obtained based on the measurement results, 2. The brain function index generating system according to item 1, wherein the index data acquisition unit is configured to select at least one of the comment and the pictogram based on the index value.

[0167] (Item 3) the video image is a video image showing changes in brain activity over time in four or less brain regions of the subject, 3. The brain function index generating system according to item 1 or 2, wherein the index data acquisition unit is configured to acquire the moving image based on the measurement result.

[0168] (Item 4) 4. The brain function index generating system according to item 3, wherein the index data acquisition unit is configured to acquire the moving image in which the display mode of the measurement channel is changed according to the measurement result.

[0169] (Item 5) the measurement result acquisition unit is configured to measure the measurement result while a task for measuring the brain function is being presented, the tasks include a first task related to memory and a second task related to sensory stimulation and memory; An answer correct / incorrect information acquisition unit that acquires information on answers of a subject to the first task and the second task, 5. The brain function index generating system according to any one of items 1 to 4, wherein the screen generating unit is configured to generate an index data display screen that displays information on the answer together with the index data.

[0170] (Item 6) an evaluation value acquisition unit that acquires an evaluation value based on the answer information; a graph image generating unit that generates a graph image based on the evaluation value, 6. The brain function index generating system according to item 5, wherein the screen generating unit is configured to generate an index data display screen that displays the graph image together with the index data.

[0171] (Item 7) A storage unit that stores the measurement results and the index data for each subject over time, The brain function index generating system according to any one of items 1 to 6, wherein the screen generating unit is configured to generate the index data display screen that displays, based on an input date, history information including a plurality of the pictograms corresponding to the date in a line.

[0172] (Item 8) a signal measurement unit that measures a signal based on blood flow in the brain of a subject; a measurement result acquisition unit that acquires the measurement results of the signal; an index data acquisition unit that acquires index data based on the measurement results, the index data including at least one of a comment that visually identifies the state of the subject's brain function during measurement and a pictogram that visually identifies the subject's brain function, and a video image showing a time-dependent change in brain activity in a measurement channel when the subject's brain is measured, the video image showing a time-dependent change in the subject's brain activity during measurement; and a storage unit that stores specific information that identifies the subject, the measurement results, and the index data in association with each other; A brain function index display system comprising: a terminal including a display unit that displays the index data.

[0173] (Item 9) 9. The brain function index display system according to item 8, wherein the display unit is configured to display at least one of the comment and the pictogram side by side with the video image.

[0174] (Item 10) the comment and the pictogram include at least one of a plurality of the comments and a plurality of the pictograms corresponding to the index value of the brain function acquired based on the measurement result, 10. The brain function index display system according to item 9, wherein the display unit is configured to display at least one of the comment and the pictogram selected based on the index value.

[0175] (Item 11) Item 11. The brain function index display system according to item 9 or 10, wherein the display unit is configured to display the moving image in which the display mode of the measurement channel is changed according to the measurement result.

[0176] (Item 12) the measurement result acquisition unit is configured to measure the measurement result while a task for measuring the brain function is being presented, the tasks include a first task related to memory and a second task related to sensory stimulation and memory; An answer correct / incorrect information acquisition unit that acquires information on answers of a subject to the first task and the second task, 12. The brain function index display system according to any one of items 8 to 11, wherein the display unit is configured to display information on the answer together with the index data.

[0177] (Item 13) obtaining a measurement of a signal based on blood flow in the subject's brain; A step of acquiring index data based on the measurement results, the index data including at least one of a comment that visually identifies the state of the subject's brain function during the measurement and a pictogram that visually identifies the subject's brain function, and a video image showing a time-dependent change in brain activity in the measurement channel when the subject's brain is measured, the video image showing a time-dependent change in the subject's brain activity during the measurement; generating an index data display screen for displaying the acquired index data; and displaying the index data display screen. [Explanation of symbols]

[0178] 1. Measurement equipment 2 Server 3. Terminal 4 Signals (based on blood flow in the subject's brain) 5 Task 5a First Task 5b Second Task 10a Measurement result acquisition section 11 Signal Measurement Section 12 Task presentation section 12a First task presentation section 12b Second task presentation section 20a Index value acquisition section 20c Index data acquisition section 20e Screen generator 20f Answer Correctness Information Acquisition Section 20g Evaluation value acquisition section 20h Graph image generator 21 2nd memory section (memory section) 32 Display section 40 Measurement results 40a Index value 41 Specific information 43 Index Data 45a Video 46 Answer Information 47 Comments 48 Pictograms 49 Historical Information 52 Graph images 56 Secondary evaluation value (Evaluation value based on response information) 55 Date 90 Subjects 90b Schematic diagram 100 Brain function index generation system 200 Brain Function Index Display System

Claims

1. a measurement result acquisition unit for acquiring measurement results of signals based on blood flow in the brain of a subject; an index data acquisition unit that acquires index data based on the measurement results, the index data including at least a comment that visually identifies the state of the subject's brain function during the measurement and a pictogram that visually identifies the subject's brain function, and a video image showing a time-dependent change in brain activity in a measurement channel when the subject's brain is measured, the video image showing a time-dependent change in the subject's brain activity during the measurement; a screen generating unit that generates an index data display screen that displays the acquired index data.

2. the comments and the pictograms include a plurality of the comments and a plurality of the pictograms corresponding to the index values ​​of the brain functions obtained based on the measurement results, The brain function index generating system according to claim 1 , wherein the index data acquiring unit is configured to select at least one of the comment and the pictogram based on the index value.

3. the video image is a video image showing changes in brain activity over time in four or less brain regions of the subject, The brain function index generating system according to claim 1 , wherein the index data acquiring unit is configured to acquire the moving image based on the measurement result.

4. 4. The brain function index generating system according to claim 3, wherein the index data acquiring unit is configured to acquire the moving image in which a display mode of the measurement channel is changed according to the measurement result.

5. the measurement result acquisition unit is configured to acquire the measurement result while a task for measuring the brain function is being presented, the tasks include a first task related to memory and a second task related to sensory stimulation and memory; An answer correct / incorrect information acquisition unit that acquires information on answers of a subject to the first task and the second task, 2. The brain function index generating system according to claim 1, wherein the screen generating unit is configured to generate the index data display screen on which information on the answer is displayed together with the index data.

6. an evaluation value acquisition unit that acquires an evaluation value based on the answer information; a graph image generating unit that generates a graph image based on the evaluation value, 6. The brain function index generating system according to claim 5, wherein the screen generating unit is configured to generate the index data display screen on which the graph image is displayed together with the index data.

7. A storage unit that stores the measurement results and the index data for each subject over time, 2. The brain function index generating system according to claim 1, wherein the screen generating unit is configured to generate the index data display screen that displays, based on an input date, history information including a plurality of the pictograms corresponding to the date in an arranged manner.

8. a signal measurement unit that measures a signal based on blood flow in the brain of a subject; a measurement result acquisition unit that acquires the measurement results of the signal; an index data acquisition unit that acquires index data based on the measurement results, the index data including a comment that visually identifies the state of the subject's brain function during measurement, and at least a comment among pictograms that visually identify the state of the subject's brain function, and a video image showing a time-dependent change in brain activity in a measurement channel when the subject's brain is measured, the video image showing a time-dependent change in the subject's brain activity during measurement; and a storage unit that stores specific information that identifies the subject, the measurement results, and the index data in association with each other; A brain function index display system comprising: a terminal including a display unit that displays the index data.

9. 9. The brain function index display system according to claim 8, wherein the display unit is configured to display at least one of the comment and the pictogram and the moving image side by side.

10. the comment and the pictogram include at least one of a plurality of the comments and a plurality of the pictograms corresponding to the index value of the brain function acquired based on the measurement result, 10. The brain function index display system according to claim 9, wherein the display unit is configured to display at least one of the comment and the pictogram selected based on the index value.

11. 10. The brain function index display system according to claim 9, wherein the display unit is configured to display the moving image in which a display mode of the measurement channel is changed according to the measurement result.

12. the measurement result acquisition unit is configured to acquire the measurement result while a task for measuring the brain function is being presented, the tasks include a first task related to memory and a second task related to sensory stimulation and memory; An answer correct / incorrect information acquisition unit that acquires information on answers of a subject to the first task and the second task, The brain function index display system according to claim 8 , wherein the display unit is configured to display information on the answer together with the index data.

13. obtaining a measurement of a signal based on blood flow in the subject's brain; acquiring index data based on the measurement results, the index data including at least a comment that visually identifies the state of the subject's brain function during the measurement, and a pictogram that visually identifies the state of the subject's brain function, and a video image showing a time-dependent change in brain activity in a measurement channel when the subject's brain is measured, the video image showing a time-dependent change in the subject's brain activity during the measurement; generating an index data display screen for displaying the acquired index data; and displaying the index data display screen.

Images