CN112927773A - Biological data management method, system and computer-readable recording medium - Google Patents

Biological data management method, system and computer-readable recording medium Download PDF

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Publication number
CN112927773A
CN112927773A CN202011228227.3A CN202011228227A CN112927773A CN 112927773 A CN112927773 A CN 112927773A CN 202011228227 A CN202011228227 A CN 202011228227A CN 112927773 A CN112927773 A CN 112927773A
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comment
biological information
cognitive function
image
biological
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CN112927773B (en
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上野刚弘
前田知毅
梅村佳克
中村俊晶
汤川大辉
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Shimadzu Corp
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Shimadzu Corp
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing

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  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Engineering & Computer Science (AREA)
  • Nutrition Science (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention provides a biological data management method, a biological data management system and a computer-readable recording medium. The biological data management method includes the steps of: a biological information image obtained by imaging biological information reflecting the brain activity state of a subject and a first comment explaining the brain activity state based on the biological information image are transmitted to a display terminal, and the biological information image and the first comment are displayed on the same screen in the display terminal.

Description

Biological data management method, system and computer-readable recording medium
Technical Field
The present invention relates to a biometric data management method, a biometric data management system, and a biometric data management program, and more particularly, to a biometric data management method, a biometric data management system, and a biometric data management program for transmitting biometric information of a subject measured by a measurement unit to a management server and displaying information based on the biometric information generated by the management server on a display terminal.
Background
Conventionally, there is known a biological data management system including: the biological information of the subject measured by the measuring unit is transmitted to the management server, and information based on the biological information generated by the management server is displayed on the display terminal. Such a biological data management system is disclosed in, for example, japanese patent application laid-open No. 2013-109661.
Japanese patent application laid-open No. 2013-109661 discloses a dementia care support system (biological data management system) including a plurality of PCs and a server connected to each other via a network. The plurality of PCs are respectively arranged at the home of the patient. In the dementia care support system disclosed in japanese patent application laid-open No. 2013-109661, contents of responses to questions related to dementia patients by care workers (nursing staff, medical staff, and the like) are stored as patient state information in a server. The patient state information stored in the server is transmitted to a PC installed at the patient's own home or the like. The patient state information transmitted to the PC installed at the patient's own home or the like is used for the family member or the like of the patient to grasp the state of the patient at the patient's own home or the like. Further, japanese patent application laid-open No. 2013-109661 discloses the following: the measurement result of the biological information may also be used as the patient status information. Further, the following is described: in the case of using the measurement result of the biological information, it is difficult to manually input the measurement result of the biological information, and therefore it is preferable to directly transmit the measurement result of the biological information to a PC or a server.
However, in the conventional biological data management system as described in japanese patent application laid-open No. 2013-109661, the patient's state can be grasped by the family of the patient or the like at the location of the patient's own home or the like based on the measurement result of the biological information, but on the other hand, the state of the patient may not be grasped only by the measurement result of the biological information. For example, consider the following: when a biological information image obtained by imaging based on biological information is used as a measurement result of biological information, it is difficult for a person without expert knowledge to understand the biological information image. Therefore, the conventional biological data management system described in japanese patent application laid-open No. 2013-109661 has the following problems: in the case where it is difficult for a person without expert knowledge to understand the measurement result of the biological information, the state of the patient cannot be grasped based on the measurement result of the biological information by the family of the patient or the like at the location of the patient's own home or the like.
Disclosure of Invention
The present invention has been made to solve the above-described problems, and an object of the present invention is to provide a biological data management method, a biological data management system, and a biological data management program as follows: even when it is difficult for a person without expert knowledge to understand the measurement result of the biological information, the family of the patient and the like can grasp the state of the patient based on the measurement result of the biological information at the location of the patient's own home and the like.
In order to achieve the above object, a biometric data management method according to a first aspect of the present invention includes the steps of: measuring biological information reflecting a brain activity state of the subject in a measuring section; generating a biological information image obtained by imaging based on biological information; transmitting the biological information and the biological information image to a management server; inputting a first comment annotation regarding a brain activity state based on the biological information image transmitted to the management server; and transmitting the biological information image and a first comment corresponding to the biological information image to a display terminal, and displaying the biological information image and the first comment on the same screen in the display terminal.
In order to achieve the above object, a biological data management system according to a second aspect of the present invention includes: a measurement unit that measures biological information reflecting a brain activity state of a subject; a generation unit that generates a biological information image that is imaged based on biological information; a management server that receives the biological information and the biological information image from the measurement unit and the generation unit, respectively, and that inputs a first comment regarding a brain activity state based on the biological information image; and a display terminal that receives the biological information image and the first comment corresponding to the biological information image from the management server, and displays the received biological information image and the first comment on the same screen.
In order to achieve the above object, a biological data management program according to a third aspect of the present invention is a biological data management program for causing a computer to execute: receiving, from a management server, a biological information image that is an image obtained by imaging based on biological information reflecting a brain activity state of a subject measured in a measurement unit, and a first comment annotation that is an annotation that is input based on the biological information image, that is related to the brain activity state and that corresponds to the biological information image; and displaying the received biological information image and the first comment annotation on the same screen.
In order to achieve the above object, a computer-readable recording medium according to a fourth aspect of the present invention records a biological data management program for causing a computer to execute: receiving, from a management server, a biological information image that is an image obtained by imaging based on biological information reflecting a brain activity state of a subject measured in a measurement unit, and a first comment annotation that is an annotation that is input based on the biological information image, that is related to the brain activity state and that corresponds to the biological information image; and displaying the received biological information image and the first comment on the same screen in a display terminal.
According to the biological data management method of the first aspect, the biological data management system of the second aspect, the biological data management program of the third aspect, and the computer-readable recording medium of the fourth aspect, as described above, the biological information image and the first comment regarding the brain activity state input based on the biological information image are displayed on the same screen in the display terminal. In this way, the user of the display terminal can view the biological information image and the first comment that correspond to each other at the same time on the display terminal, and therefore, even when it is difficult for a person who does not have expert knowledge about cognitive functions to understand the biological information image displayed on the display terminal, the user of the display terminal can understand the meaning of the biological information image displayed on the same screen as the first comment on the display terminal. As a result, even when it is difficult for a person without expert knowledge to understand the measurement result of the biological information, the family of the patient and the like can grasp the state of the patient based on the measurement result of the biological information at the location of the patient's own home and the like.
Drawings
Fig. 1 is a diagram showing a configuration of a biological data management system according to the present embodiment.
Fig. 2 is a diagram showing an information input screen of the input terminal according to the present embodiment.
Fig. 3 is a diagram showing a screen of an input terminal in a state after the image capturing function according to the present embodiment is activated.
Fig. 4 is a diagram showing a screen of an input terminal displaying a state of an album screen according to the present embodiment.
Fig. 5 is a diagram showing a screen of an input terminal in a state where a list screen is displayed according to the present embodiment.
Fig. 6 is a diagram showing a screen of a display terminal in which a state of an information display screen is displayed according to the present embodiment.
Fig. 7 is a diagram showing a screen of a display terminal displaying a state of image data of a meal according to the present embodiment.
Fig. 8 is a diagram showing a graph showing changes in the daily meal size according to the present embodiment.
Fig. 9 is a diagram showing a screen of a display terminal in which a state of a cognitive function information screen is displayed according to the present embodiment.
Fig. 10 is a diagram showing a screen of a display terminal that displays a state of a reproduction screen of a cerebral blood flow distribution image according to the present embodiment.
Fig. 11 is a diagram showing a screen of a display terminal displaying a state indicating that a message indicating that display of a cognitive function information screen has been updated according to the present embodiment.
Fig. 12 is a sequence diagram illustrating a biological data management method a2 according to the present embodiment.
Fig. 13 is a sequence diagram illustrating a biological data management method B2 according to the present embodiment.
Detailed Description
Hereinafter, embodiments embodying the present invention will be described based on the drawings.
[ embodiment ]
(Structure of biological data management System)
The configuration of a biological data management system 100 according to the present embodiment will be described with reference to fig. 1 to 10.
As shown in fig. 1, the biological data management system 100 includes an input terminal 10, a server 20, a display terminal 30, and a brain function measurement device 40. The server 20 is an example of a "management server". The brain function measuring device 40 is an example of the "measuring unit" and the "generating unit".
The input terminal 10 is installed in a living facility 110 in which the elderly live. The input terminal 10 is, for example, a tablet terminal, a smartphone, or other communication device. The worker at the check-in facility 110 inputs the status data 50 indicating the status of the check-in person to the input terminal 10. Status data 50 includes data relating to the occupant's meal. The data relating to the meal of the occupant is, for example, data indicating the meal size. The state data 50 includes the state of medicine taking, blood pressure value, pulse rate, body weight, and the like.
Further, image data 51 (see fig. 7) of the meal of the occupant corresponding to the data on the meal of the occupant is input (acquired) to the input terminal 10. In the biological data management system 100, the image data 51 of a meal is an image of a meal before the meal. Further, the status data 50 includes image data 50a of the occupant. The image data 50a is, for example, an image obtained by capturing the daily life situation of the living person. Additionally, the status data 50 includes annotation data 50b for personnel at the check-in facility 110 regarding the status of the check-in person.
The input terminal 10 is a terminal including a display unit for displaying a screen, an operation unit including a touch panel, buttons, or the like for accepting input operations, a storage unit for storing a program, a CPU for executing the program stored in the storage unit, and a communication unit for communicating with the server 20.
The server 20 is a network service unit existing on the cloud. The server 20 is connected to the input terminal 10, the display terminal 30, and the brain function measuring device 40 via a network.
The server 20 receives and stores the status data 50 and the image data 51 of the meal input in the input terminal 10 from the input terminal 10. The server 20 receives, from the brain function measuring device 40, measurement data 60 and the like measured by the brain function measuring device 40, and stores (stores) the measurement data.
Further, the server 20 is a network service unit including a storage section for storing (storing) data and programs, a CPU for executing the programs stored in the storage section, and a communication section for communicating with the input terminal 10 and the display terminal 30.
The display terminal 30 is a terminal held by a person (e.g., a family of the accommodator) associated with the accommodator who has lived in the accommodation facility 110. The display terminal 30 is, for example, a communication device (smart phone or the like) held by a family member of the person who lives in, a PC, or the like. The display terminal 30 is a terminal including not only a display unit 30a, a CPU 30b, and a storage unit 30c, which will be described later, but also an operation unit including a touch panel, buttons, or the like for accepting input operations, and a communication unit for communicating with the server 20.
In the present embodiment, the brain function measuring device 40 is a measuring device that measures changes in cerebral blood flow (biological information) using near infrared spectroscopy, which is a method of measuring the oxygen state of a cerebral blood vessel (biological tissue) using light in the near infrared region. That is, the brain function measuring device 40 is a device that measures biological information reflecting the brain activity state. Specifically, when a probe having a light-emitting portion and a light-receiving portion of the brain function measuring device 40 is attached to the head of a subject and a task is given to the subject (a person who enters the brain) for inducing a biological activity related to a cognitive function, the change in the amount of hemoglobin in the cerebral blood vessels of the subject is measured using light in the near-infrared region, thereby measuring the change in the cerebral blood flow. That is, the brain function measuring device 40 is a measuring device that measures changes in cerebral blood flow using functional Near-Infrared Spectroscopy (fNIRS). Further, the task is, for example, a calculation problem, a character guess, or the like. The calculation problem is, for example, a problem of continuously subtracting 7 from 100, i.e., continuously subtracting 7(100-7), or the like. Guessing characters is a problem in which an experimenter writes characters of similar shapes on the hands of a subject and the subject guesses the characters.
The brain function measuring device 40 is installed in a hospital, for example. Then, the brain function measuring device 40 periodically (for example, every half year) measures changes in the cerebral blood flow rate of the examinee (subject) who stays in the stay facility 110. That is, the measurement data 60 is data of a change in cerebral blood flow.
In the present embodiment, the brain function measuring device 40 generates a brain blood flow distribution image 71 that is imaged based on the measurement data 60. The cerebral blood flow distribution image 71 is a moving image showing changes in cerebral blood flow volume obtained by temporally connecting a plurality of still images showing cerebral blood flow distributions measured at the same time on the same subject (resident). The brain blood flow distribution image 71 is an example of a "biological information image".
In the present embodiment, the brain function measuring device 40 transmits the measurement data 60 (data of the change in the cerebral blood flow) and the cerebral blood flow distribution image 71 to the server 20. Then, the server 20 stores the measurement data 60 and the brain blood flow distribution image 71 received from the brain function measurement device 40.
In the present embodiment, after acquiring the measurement data 60, the server 20 calculates the cognitive function level 72 related to the cognitive function based on the measurement data 60. The cognitive function level 72 is an index relating to cognitive function calculated from a model constructed in advance based on changes in cerebral blood flow measured when the above-described task is given to a plurality of subjects (survivors). The model is constructed in advance by a regression model (for example, a regression model based on logistic regression) based on the measurement data 60 of the healthy population acquired in advance and the measurement data 60 of the mild cognitive impairment population acquired in advance. The cognitive function level 72 is an example of a "cognitive function index".
In the present embodiment, a first explanation comment 73 regarding the brain activity state and a second explanation comment 74 explaining the state of the cognitive function based on the cognitive function level 72 are input based on the brain blood flow distribution image 71 transmitted to the server 20. Specifically, the first comment annotation 73 and the second comment annotation 74 are made by a person having professional knowledge of cognitive functions (hereinafter referred to as a comment annotation maker). The comment annotation maker makes a first comment annotation 73 and a second comment annotation 74 in accordance with the making request from the server 20. Then, the first comment annotation 73 and the second comment annotation 74 made by the comment annotation maker are input to the server 20. Then, the server 20 stores not only the measurement data 60 and the brain blood flow distribution image 71 but also the first comment 73, the cognitive function level 72, and the second comment 74 in association with the time information 75 of the measurement data 60. The time information 75 is, for example, the year, month, day, hour, minute, and second of the measurement data 60.
Here, in the biological data management system 100, the display terminal 30 is configured to control: receiving state data 50 and image data 51 of a meal saved in server 20 from server 20; and displaying status data 50 and image data 51 of the meal received from server 20. That is, the biological data management program a1 for causing the CPU 30b of the display terminal 30 to execute the following control is stored (stored) in the display terminal 30: receiving status data 50 and image data 51 of a meal from server 20; displaying the received status data 50 on the display unit 30a of the display terminal 30; and displaying the received image data 51 of the meal on the display unit 30 a. The details of the biometric data management program a1 will be described later. The biological data management program a1 is stored in a non-transitory storage medium that can be read by the CPU 30 b. The biological data management program a1 is stored in the storage unit 30c of the display terminal 30. The CPU 30b is an example of a "computer".
In addition, in the present embodiment, the following control is performed: the brain blood flow distribution image 71 and the first comment 73 corresponding to the brain blood flow distribution image 71 are received from the server 20, and the received brain blood flow distribution image 71 and the first comment 73 are displayed on the same screen in the display terminal 30. That is, the biological data management program B1 for causing the CPU 30B of the display terminal 30 to execute the following control is stored (stored): receiving the cerebral blood flow distribution image 71 and the first comment annotation 73 corresponding to the cerebral blood flow distribution image 71 from the server 20; and displaying the received cerebral blood flow distribution image 71 and the first comment annotation 73 on the same screen. The details of the biometric data management program B1 will be described later. The biological data management program B1 is stored in the storage unit 30c of the display terminal 30.
Hereinafter, the configuration of the input terminal 10 and the configuration of the display terminal 30 will be described in detail with reference to fig. 2 to 10.
(Structure of input terminal)
As shown in fig. 2, an information input screen 12 is displayed on the input terminal 10, and the information input screen 12 includes a data input area 11 for inputting the status data 50 (see fig. 1) of the occupant.
On the information input screen 12, a selection section 12a is displayed in the data input area 11 in the vicinity of a meal amount field 11a for filling out a meal amount. Based on the selection of the selection section 12a, the image photographing function of the input terminal 10 is started. For example, in a case where an image of a meal is captured by the image capturing function activated based on selection of the selection part 12a, the image is saved as image data 51 of the meal of the corresponding taker into the input terminal 10. Accordingly, when inputting the meal contents to the input terminal 10, since it is not necessary to perform the work of inputting the meal contents with characters, the work time of the worker who enters the facility 110 can be shortened, and since character input is not necessary, it is possible to prevent the occurrence of a filling error. In the following description, the phrase "a selection portion is selected" means that an input operation by a user is accepted in the selection portion. In addition, the "input operation at the selection portion" means, for example, that the user presses the selection portion or the like.
The selection part 12a is disposed in the right vicinity of the meal size field 11a for each of the plurality of meals (breakfast, lunch, and dinner). For example, an image of a meal captured by the image capturing function activated based on the selection part 12a at the right adjacent position of the meal amount bar 11a for which breakfast is selected is saved as image data 51 of a meal in the morning in the input terminal 10 and the server 20.
In addition, the information input screen 12 displays the name of the person who enters the house and the date of birth. Further, on the information input screen 12, a face photograph 12b of the fellow person is displayed in the vicinity of the name of the fellow person. Further, a selection section 12c described as "profile details" is displayed next to the face photograph 12b of the fellow person, and based on the selection of the selection section 12c, the detailed profile of the corresponding fellow person (in this case, suzuki) and the enlarged face photograph are displayed in the input terminal 10.
On the information input screen 12, a selection portion 12d described as a "week chart" and a selection portion 12e described as a "cognitive status" are displayed. Based on the selection portion 12d in which the "weekly chart" is selected, a chart showing changes in daily meal size, blood pressure, pulse rate, body weight, and the like of the corresponding occupant is displayed (see fig. 8). Further, based on the selection section 12e in which the "cognitive status" is selected, information on the cognitive status of the corresponding occupant based on the measurement data 60 obtained by the brain function measuring device 40 is displayed (see fig. 9). Fig. 8 is a graph showing changes in meal size (from 8 months 5 to 8 months 8) as a representative example.
In addition, a selection portion 12f described as "re-shooting" is displayed on the information input screen 12. Based on the selection of the selection section 12f described as "re-shooting", the image capturing function of the input terminal 10 is started, and the image capturing screen 13 (see fig. 3) is displayed. Based on the selection of the selection part 13a on the image photographing screen 13, an image is photographed by the input terminal 10. For example, in a case where the face image of the person who enters the house is captured by the image capturing function activated based on the selection of the selection section 12f, the image is saved as the image data 50a of the corresponding person who enters the house in the input terminal 10. The acquired image data 50a is displayed in the image display area 12g of the information input screen 12. Further, the image display area 12g is included in the data input area 11.
As shown in fig. 3, a selection portion 13b is displayed on the image capturing screen 13 at a position adjacent to the portion described as "selected from the album". Based on the selection of the selection part 13b, an album screen 14 (see fig. 4) is displayed, and a past image recorded in the input terminal 10 can be selected from the album screen 14. In a state where an image is selected on the album screen 14, the selected image is displayed in the image display area 12g of the information input screen 12 based on the selection of the selection portion 14a described as "decision". Further, the image capturing screen 13 is displayed again based on the selection portion 14b in the left adjacent position to the portion described as "camera capturing" selected on the album screen 14. Fig. 4 illustrates a case where a plurality of images 14c (images omitted) stored in the input terminal 10 are displayed on the album screen 14.
In addition, as shown in fig. 2, the capturing (acquiring) time of the image data 50a displayed in the image display area 12g is displayed in the vicinity of the lower side of the image display area 12 g.
Further, on the information input screen 12, a selection portion 12h is displayed in the left and right adjacent positions of the portion in which the date and time is described. Based on the selection part 12h on the left side selected, the information input screen 12 of the previous day (of the day corresponding to the information input screen 12 currently displayed) of the corresponding catcher is displayed. Based on the selection part 12h on which the right side is selected, the information input screen 12 of the corresponding fellow (of the day corresponding to the currently displayed information input screen 12) is displayed.
Further, on the information input screen 12, a selection section 12i described as "return to list" is displayed. Upon selection of the selection section 12i, a list screen 15 (see fig. 5) of the check-in persons who check in at the check-in facility 110 is displayed. In the column corresponding to each of the attendees on the list screen 15, information indicating whether or not the input of the name, date of birth, and status data 50 (status of eating, taking medicine, and the like) of the corresponding attendee is completed is displayed.
As shown in fig. 5, an image display area 15a for displaying a photograph of the face of the corresponding occupant is provided in a column corresponding to each occupant on the list screen 15. The image being displayed in the image display area 12g of the information input screen 12 is displayed in the image display area 15 a. In a state where no image is displayed in the image display area 12g of the information input screen 12, no image is displayed in the image display area 15a (see the columns other than the suzuki flowers in fig. 5). The fact that the image display area 15a does not display an image indicates that the input of the image data 50a for the occupant is incomplete.
In addition, a display field 15b is displayed in a field corresponding to each of the entrants in the list screen 15, and the display field 15b is used to display whether or not the input of each of the status data 50 of the corresponding entrants is completed. For example, in a state where the input of the meal size is not yet performed, a character "not" indicating that the input is not completed is displayed at a portion corresponding to "meal". In a state where the input of the meal size has been already performed, a character "already" indicating that the input has been completed is displayed at a position corresponding to "meal".
In addition, a selection field 15c is provided on the list screen 15, and the selection field 15c is used for the worker who presses the check-in facility 110 to select the responsible check-in person. An example showing a list of the attendees for which the staff is responsible is illustrated in fig. 5.
In addition, an image display area 15d for displaying a face photograph 15e of the corresponding occupant is provided in a column corresponding to each occupant of the list screen 15. The face photograph 15e of the person who enters the house is always displayed in the image display area 15d regardless of whether or not the image data 50a is being displayed in the image display area 12g of the information input screen 12.
When the selection portion 12k described later has been selected, a display portion 15f described as "authenticated" is displayed in a column corresponding to each of the entrants on the list screen 15. Specifically, for example, based on the selection section 12k of the information input screen 12 in which the suzuki flowers are selected, the display section 15f is displayed in the column corresponding to the suzuki flowers in the list screen 15.
As shown in fig. 2, a selection portion 12j described as "save" and a selection portion 12k described as "request authentication" are displayed on the information input screen 12. Based on the selection of the selection portion 12j, the state of the information input screen 12 is saved (stored) in the input terminal 10, and is saved (stored) in the server 20 (refer to fig. 1). In addition, the state of the information input screen 12 is also saved (stored) in the server 20 based on the selection of the selection section 12 k. That is, based on the selection of the selection section 12j or the selection section 12k, the state data 50 and the image data 51 of the meal input in the input terminal 10 are forwarded (uploaded) to the server 20 and saved.
In addition, based on the selection of the selection section 12k, an authentication request signal is transmitted from the input terminal 10 to the server 20. The authentication request signal is a signal for inquiring the server 20 as to whether or not the state data 50 (saved to the server 20) and the image data 51 of the meal transferred from the input terminal 10 to the server 20 can be transmitted to the display terminal 30. When the server 20 that has received the authentication request signal determines that the status data 50 and the image data 51 of the meal can be transmitted, the display terminal 30 can receive the status data 50 and the image data 51 of the meal in the server 20.
As described above, the worker who enters the facility 110 inputs information into the data input area 11 as daily reports. Then, the data input to the data input area 11 is transmitted from the input terminal 10 to the server 20.
(Structure of display terminal)
Fig. 6 illustrates a state in which an information display screen 32 including a state data display area 31 for displaying state data 50 received from the server 20 is displayed on the display unit 30a of the display terminal 30. Further, information display screen 32 includes selection portion 32a for accepting an input operation for displaying image data 51 of a meal received from server 20. The selection section 32a is a button arranged on the information display screen 32. In the example shown in fig. 6, a Graphic (GUI) of the camera is displayed in the selection section 32 a. The information display screen 32 is an example of a "state display screen (indicating the state of the subject)".
Further, the status data display area 31 includes a meal amount column 31a for displaying the meal amount of the accommodator as the status data 50. In addition, the status data display area 31 is provided with a column 31b for displaying comment data 50b input by the staff entering the facility 110 on the input terminal 10, and a column (not denoted with a reference numeral) for displaying information such as the status of taking medicine, the blood pressure value, the pulse rate, and the weight.
Here, in the display terminal 30, the selection section 32a is arranged in the vicinity of the meal size field 31a in the information display screen 32. Specifically, the status data display area 31 includes a plurality of meal size fields 31 a. The selection section 32a is disposed beside each of the plurality of meal size columns 31 a.
Specifically, the status data display area 31 includes an intake amount column 31a corresponding to breakfast, an intake amount column 31a corresponding to lunch, and an intake amount column 31a corresponding to dinner. Further, a selection portion 32a for displaying the image data 51 of the corresponding meal is arranged at the right adjacent position of each meal amount column 31 a. For example, a selection section 32a for displaying the image data 51 of a meal in the morning is arranged in the right adjacent position of the meal amount column 31a corresponding to breakfast.
The status data display area 31 includes an image display area 32b that displays the image data 50a received from the server 20. In addition, the time until the image data 50a displayed in the image display area 32b is photographed (acquired) is displayed in the vicinity of the lower side of the image display area 32b (in the input terminal 10).
Further, on the information display screen 32 on which the status data 50 and the selection portion 32a are displayed, a selection portion 32c described as a "weekly graph" is displayed, and the selection portion 32c receives an input operation for displaying a graph (see fig. 8) showing a change in daily meal size.
In a state where a graph showing changes in daily meal size (see fig. 8) or information based on measurement data 60 of cognitive functions (see fig. 9) is displayed on the display unit 30a of the display terminal 30, the information display screen 32 (state data display area 31) is displayed based on selection of the selection part 32e described as "log".
Further, on the information display screen 32 on which the status data 50 and the selection part 32a are displayed, a selection part 32d described as "cognitive status" is displayed, and the selection part 32d receives an input operation for displaying information (see fig. 9) based on the measurement data 60 of the cognitive function of the occupant. In a state where the information display screen 32 is displayed, the cognitive function information screen 33 showing the state of the cognitive function of the person who enters is displayed based on the selection of the selection part 32 d.
As shown in fig. 9, in the present embodiment, the display terminal 30 displays the cerebral blood flow distribution image 71, the first comment 73, the cognitive function level 72, and the second comment 74 on the same screen. Specifically, a display field 33a of the brain blood flow distribution image 71, a display field 33b of the first comment 73, a display field 33c of the cognitive function level 72, and a display field 33d of the second comment 74 are displayed on the cognitive function information screen 33.
A playback button is displayed in the display field 33a of the cerebral blood flow distribution image 71. When the reproduction button is selected, the cerebral blood flow distribution image 71 as a moving image is reproduced. When a predetermined operation is performed in the display field 33a (for example, a click is made on a portion of the display field 33a other than the playback button), the cerebral blood flow distribution image 71 is displayed in an enlarged manner (see fig. 10). Further, a display field 33a of a plurality of (two) cerebral blood flow distribution images 71 is provided on the cognitive function information screen 33. The display fields 33a of the plurality (two) of cerebral blood flow distribution images 71 show the respective cerebral blood flow distribution images 71 in the case where the subjects are assigned tasks of different types and the cases where the subjects are assigned tasks of different difficulty levels. In the example shown in fig. 9, the display fields 33a of the two cerebral blood flow distribution images 71 respectively display the cerebral blood flow distribution image 71 in the case where a relatively simple calculation problem is given to the subject and the cerebral blood flow distribution image 71 in the case where a relatively complex calculation problem is given to the subject.
The display field 33b of the first comment annotation 73 is disposed in the upper vicinity of the display field 33a of the brain blood flow distribution image 71. The first comment annotation 73 created by the comment annotation creator and corresponding to the cerebral blood flow distribution image 71 displayed in the display field 33a of the cerebral blood flow distribution image 71 is displayed in the display field 33b of the first comment annotation 73. In the example shown in fig. 9, it is shown in the display field 33b of the first comment note 73 that a specific part (lateral prefrontal cortex) is actively moving.
In the biological data management system 100, the display column 33c of the cognitive function level 72 displays the change information 72a regarding the temporal change of the cognitive function level 72 at different times, as a graph showing the relationship between the cognitive function level 72 and the time information 75. In the example shown in fig. 9, in the display field 33c of the cognitive function level 72, the cognitive function level 72 is displayed a plurality of times (four times) in a line graph with the horizontal axis representing the age and the vertical axis representing the cognitive function level 72. The line graph is a graph constituted by lines connecting the plotted points and the plotted points to each other. In the display field 33c of the cognitive function level 72, the absolute value of the cognitive function level 72 is not displayed. That is, in the biological data management system 100, the graph is displayed in a state in which the absolute value of the cognitive function level 72 is not displayed and the relative change of the cognitive function level 72 is displayed.
The display field 33d of the second comment 74 is disposed in the position immediately above the display field 33c of the cognitive function level 72. The second comment annotation 74 created by the comment annotation creator and corresponding to the cognitive function level 72 displayed in the display field 33c of the cognitive function level 72 is displayed in the display field 33d of the second comment annotation 74. In the example shown in fig. 9, the cognitive function level 72 displayed in the display field 33d of the second comment annotation 74 in the latest (fourth) state is higher than the cognitive function level 72 displayed in the previous (third) state.
Further, on the cognitive function information screen 33, a selection portion 33e described as a "brain activity measurement result", a selection portion 33f described as a "cognitive function test result", and a selection portion 33g described as a "previous result" are displayed. The cognitive function information screen 33 is a screen on which "brain activity measurement results" are displayed. In a state where the cognitive function information screen 33 is displayed, a test result display screen (not shown) showing the result of the cognitive function test performed on the person (subject) is displayed on the basis of the selection section 33f which selects the cognitive function test result described as "cognitive function test result". In a state where the cognitive function information screen 33 is displayed, the cognitive function information screen 33 showing the brain blood flow distribution image 71, the first comment or comment 73, the cognitive function level 72, and the second comment or comment 74 at the previous (third) time is displayed based on the selection of the selection portion 33g described as the "result of the previous time".
Although not shown, the brain blood flow distribution image 71 serving as a basis for the content of the second comment 74 may be displayed on the cognitive function information screen 33. Specifically, the brain blood flow distribution image 71 that is the most suitable brain blood flow distribution image 71 as the basis of the contents of the second comment 74 is displayed on the basis of the brain blood flow distribution images 71 acquired in the respective measurements performed a plurality of times. That is, the cerebral blood flow distribution image 71 that is the basis of the contents of the second comment 74 is not limited to the latest cerebral blood flow distribution image 71. In addition, the server 20 stores the second comment 74 in association with the most appropriate cerebral blood flow distribution image 71.
In the biological data management system 100, when all the information (the cerebral blood flow distribution image 71, the cognitive function level 72, the first comment 73, the second comment 74, and the time information 75) displayed on the cognitive function information screen 33 is acquired (recorded), the server 20 notifies the display terminal 30 that the display of the cognitive function information screen 33 can be updated (notification that the cognitive function information screen 33 can be updated). Then, upon receiving the notification from the server 20 that the cognitive function information screen 33 is updatable, the display terminal 30 displays a message 32g indicating that the display of the cognitive function information screen 33 is updated on the information display screen 32. In the example shown in fig. 11, an example is shown in which a message 32g is displayed in an upper adjacent position of a column 31b for displaying comment data 50 b. For example, in a state where the message 32g is displayed, the message 32g disappears from the information display screen 32 by displaying the cognitive function information screen 33 based on a predetermined operation (click or the like) performed in the display field of the message 32g or by selecting the selection portion 32d described as "cognitive status".
(biological data management method A2)
Next, a biometric data management method a2 corresponding to the biometric data management program a1 will be described with reference to fig. 12.
As shown in fig. 12, the biometric data management method a2 includes the following steps (step S1): the name of the person who enters the house and the face photograph 12b (see fig. 2) of the person who enters the house are displayed on the information input screen 12 (see fig. 2) of the input terminal 10.
Next, the biometric data management method a2 includes the following steps (step S2): the input terminal 10 accepts an input operation for the status data 50 (see fig. 1) and the image data 51 (see fig. 1) of a meal. Specifically, the input operation for the state data 50 refers to the following operations: the worker or the like at the check-in facility 110 inputs the state of the check-in person in the data input area 11 (see fig. 2) by characters or the like. The input operation for the state data 50 also refers to the following operations: the image data 50a of the person who enters the house is acquired (stored in the input terminal 10) based on the image capturing function of the input terminal 10 activated by selecting the selection section 12f (see fig. 2) on the information input screen 12. In addition, the input operation for the image data 51 of a meal refers to the following operations: the image data 51 of the meal is acquired (stored in the input terminal 10) by the image capturing function of the input terminal 10 activated based on the selection of the selection part 12a (see fig. 2) on the information input screen 12.
The biometric data management method a2 includes the following steps (step S3): measurement data 60 of cognitive function (see fig. 1) is transferred from the brain function measurement device 40 to the server 20. The biometric data management method a2 includes the following steps (step S4): the measurement data 60 of the cognitive function of the occupant transferred from the brain function measuring device 40 is stored in the server 20.
The biometric data management method a2 includes the following steps (step S5): the status data 50 and the image data 51 of the meal saved in the input terminal 10 are forwarded to the server 20. Specifically, based on selection of the selection part 12j or the selection part 12k of the information input screen 12, the state data 50 and the image data 51 of the meal are forwarded from the input terminal 10 to the server 20.
Next, the biometric data management method a2 includes the following steps (step S6): the status data 50 and the image data 51 of the meal inputted in the input terminal 10 (forwarded from the input terminal 10) are saved in the server 20. Further, the order of performing step S4 and step S6 is not limited thereto. Step S6 may also be performed before step S4.
Further, the step of saving the state data 50 and the image data 51 of the meal in the server 20 (step S6) includes a step of saving the state data 50 and the image data 51 of the meal for each day from the past to the present. That is, the status data 50 and the image data 51 of meals stored in the server 20 every day are not deleted but accumulated in the server 20.
Further, in the case where the selection part 12k is selected in step S5, an authentication request signal is transmitted from the input terminal 10 to the server 20. In this case, the input terminal 10 is set in a state of not accepting an information input operation on the data input area 11.
The biometric data management method a2 includes the following steps (step S7): server 20 receives a determination as to whether or not to transmit state data 50 and meal image data 51, which are transmitted from input terminal 10 and stored in server 20, to display terminal 30. Specifically, the server 20 receives the determination based on the reception of the authentication request signal from the input terminal 10. If it is determined in step S7 that transmission is not possible, the input terminal 10 returns to a state in which it can accept input operations to the input terminal 10 (step S8). If it is determined in step S7 that transmission is possible, the display terminal 30 is in a state in which it can receive each data stored in the server 20. If it is determined in step S7 that transmission is possible, the input terminal 10 is in a state of not accepting an input operation until the next day. The above determination is performed by the administrator of the server 20. The manager is, for example, a boss of a person in charge of each of the entrants or a worker in the entrance facility 110 mainly responsible for the determination.
The biometric data management method a2 includes the following steps (step S9): the state data 50 and the image data 51 of the meal stored in the server 20 are received by the display terminal 30. Specifically, the server 20 is configured to: the requested data (e.g., status data 50 or image data 51 of a meal) is transmitted to the display terminal 30 based on the transmission of the data request signal from the display terminal 30.
The biometric data management method a2 includes the following steps (step S10): in the display terminal 30, the status data 50 received from the server 20 is displayed on the display unit 30a (see fig. 6) of the display terminal 30. Specifically, in the step of displaying the status data 50 on the display unit 30a (step S10), the information display screen 32 including the status data display area 31 and the selection part 32a is displayed.
In the biometric data management method a2, in the step of displaying the status data 50 on the display unit 30a (step S10), the status data 50 including the image data 50a of the person who enters the living being is displayed on the information display screen 32 on which the selection portion 32a is displayed. In the step of displaying the status data 50 on the display unit 30a (step S10), the status data 50 including the comment data 50b of the worker is displayed on the information display screen 32 on which the selection portion 32a is displayed. That is, in the step of displaying the status data 50 on the display unit 30a (step S10), both the image data 50a of the person who enters and the comment data 50b of the staff are displayed on the information display screen 32 on which the selection portion 32a is displayed. Specifically, on the information display screen 32 on which the selection section 32a is displayed, a column 31b that displays the comment data 50b of the worker is arranged in the vicinity of (below) the image display area 32b for displaying the image data 50a of the fellow passenger.
The biometric data management method a2 includes the following steps (step S11): on the information display screen 32 on which the status data 50 and the selection part 32a are displayed, a selection part 32c (see fig. 6) for accepting an input operation for displaying a graph (see fig. 8) showing a change in the daily meal size is displayed.
The biometric data management method a2 includes the following steps (step S12): on the information display screen 32 on which the status data 50 and the selection part 32a are displayed, a selection part 32d is displayed, and the selection part 32d receives information on a cognitive function of the person who enters the house based on the measurement data 60 stored in the server 20 (see fig. 9). In fig. 12, steps S10 to S12 are illustrated as different steps, but the steps S10 to S12 are actually performed simultaneously.
Here, the biometric data management method a2 includes the following steps (step S13): in the display terminal 30, a graph showing a change in daily meal size (see fig. 8) is displayed on the display unit 30a based on the selection operation of the selection section 32c (see fig. 6). Specifically, a graph showing the change in the meal size is displayed (created) on display terminal 30 based on the data of the daily meal size stored in server 20. The graph may be created in advance in the server 20, and the graph may be transferred from the server 20 to the display terminal 30.
The biometric data management method a2 includes the following steps (step S14): in the display terminal 30, information related to the cognitive function (see fig. 9) is displayed on the display unit 30a based on a selection operation of the selection section 32d (see fig. 6).
That is, on the information display screen 32 displaying the state data 50, it is possible to switch between a screen displaying a graph showing a change in meal size (see fig. 8) and a screen displaying information on cognitive functions (see fig. 9) based on the selection of the selection part 32c and the selection part 32 d.
Further, the biological data management method a2 includes the following steps (step S15): in the display terminal 30, the display unit 30a of the display terminal 30 displays the image data 51 of the meal received from the server 20. Specifically, in the step of displaying the image data 51 for a meal (step S15), the image data 51 for a meal is displayed on the display unit 30a based on the selection operation of the selection section 32a on the information display screen 32. In detail, based on selection of the selection section 32a, the image data 51 of the meal stored in the server 20 is transmitted to the display terminal 30 and temporarily stored in the display terminal 30. Then, the image data 51 of the meal temporarily stored in the display terminal 30 is displayed on the display unit 30a of the display terminal 30.
Further, based on the selection of the selection portion 32a on the information display screen 32, the screen (see fig. 7) displaying the image data 51 of the meal is switched from the information display screen 32 (see fig. 6). When "x" displayed in the upper right corner of the image data 51 of the meal is selected, the display of the display unit 30a is switched from the image data 51 of the meal to the information display screen 32. Further, the following may be configured: based on the selection of the selection portion 32a, a new screen (window) for displaying the image data 51 of the meal is displayed on the information display screen 32.
In the step of displaying the image data 51 for a meal (step S15), after the step of accepting the determination of the possibility of transmission (step S7) determines that transmission is possible, the image data 51 for a meal is displayed on the display unit 30a based on the selection operation of the selection portion 32a on the information display screen 32. Specifically, the selection portion 32a on the information display screen 32 is set to a selectable state based on the determination of the possibility of transmission in the step of accepting the determination of the possibility of transmission. Further, based on the determination that transmission is possible in the step of accepting the determination of transmission possibility, the state data 50 (including the image data 50a and the comment data 50 b) is displayed on the information display screen 32. Before the transmission is determined to be possible, the display terminal 30 displays the status data 50 in the non-display state.
In the step of displaying the image data 51 of meals (step S15), in accordance with the selection of the selected part 32a, the image data 51 of meals corresponding to the meal size field 31a arranged beside the selected part 32a is displayed. For example, in a case where the selection part 32a arranged in the right vicinity of the meal amount column 31a for breakfast is selected, the image data 51 of the meal earlier is displayed in the display terminal 30. The order of performing steps S13 to S15 is not limited to this.
The biometric data management method a2 includes the following steps (step S16): the display terminal 30 receives a selection of a certain day from the past to the present.
Here, in the step of displaying the status data 50 (step S10), the status data 50 of the day selected (in step S16) is displayed on the display section 30 a. In addition, in the step of displaying the image data 51 of meals (step S15), the image data 51 of meals of the day selected (in step S16) is displayed.
Specifically, the information display screen 32 for a certain day during the period from the past to the present is displayed on the display unit 30a based on the selection portion 32f (see fig. 6) that selects the display at the position adjacent to the left and the position adjacent to the right of the portion of the information display screen 32 where the date and time is described. Specifically, the information display screen 32 of the previous day (of the day corresponding to the currently displayed information display screen 32) is displayed based on the selection section 32f that selects the position on the left vicinity of the part of the information display screen 32 where the date and time is described. Further, the information display screen 32 of the next day (of the day corresponding to the currently displayed information display screen 32) is displayed based on the selection portion 32f that selects the right adjacent position of the portion of the information display screen 32 where the date and time is described. Then, the status data 50 of the selected day is displayed on the information display screen 32 of the selected day. In addition, based on the selection portion 32a of the information display screen 32 on the selected day being selected, the image data 51 of meals on the selected day is displayed in the display section 30 a.
The biometric data management method a2 includes a step of displaying the list screen 15 on the input terminal 10 (step S17). The name of the person who enters the house and the face photograph 15e of the person who enters the house are displayed in the fields corresponding to the respective plural persons who enter the house provided on the list screen 15 (see fig. 5).
The biometric data management method a2 includes the following steps (step S18): based on selection of the selection field 15c on the list screen 15, a list of the attendees in charge of the selected staff is displayed on the input terminal 10.
(biological data management method B2)
Next, a biometric data management method B2 corresponding to the biometric data management program B1 will be described with reference to fig. 13.
As shown in fig. 12, first, in step S21, the brain function measurement device 40 measures a change in cerebral blood flow of the person (subject). That is, the biometric data management method B2 includes the following steps (step S21): the brain function measuring device 40 measures biological information (change in cerebral blood flow) reflecting the brain activity state of the subject.
Next, in step S22, the brain function measurement apparatus 40 images the measurement data 60 by an image processing unit (not shown) or the like to generate the brain blood flow distribution image 71. That is, the biological data management method B2 includes a step of generating the cerebral blood flow distribution image 71 that is imaged based on a change in the cerebral blood flow (step S22).
Next, in step S23, measurement data 60 of the change in cerebral blood flow measured by the cerebral function measurement device 40 and the cerebral blood flow distribution image 71 generated by the cerebral function measurement device 40 based on the measurement data 60 are transmitted to the server 20.
Next, in step S24, the server 20 calculates the cognitive function level 72 related to the cognitive function based on the measurement data 60 transmitted from the brain function measuring device 40. That is, the biological data management method B2 includes a step of calculating the cognitive function level 72 related to the cognitive function based on the change in the cerebral blood flow (step S24).
Next, in step S25, the server 20 requests the comment making person to create a first comment annotation 73 that explains the state of the cognitive function based on the cerebral blood flow distribution image 71. Then, the first comment annotation 73 made by the comment annotation maker is input to the server 20. That is, the biological data management method B2 includes a step of inputting the first comment 73 regarding the brain activity state based on the brain blood flow distribution image 71 (step S25).
Next, in step S26, the server 20 requests the comment annotation creator to create a second comment annotation 74 which explains the state of the cognitive function based on the cognitive function level 72. Then, the second comment annotation 74 made by the comment annotation maker is input to the server 20. That is, the biometric data management method B2 includes a step of inputting the second comment 74 which explains the state of the cognitive function based on the cognitive function level 72 (step S26).
Next, in step S27, the server 20 stores the cerebral blood flow distribution image 71, the first comment for explanation 73, the cognitive function level 72, and the second comment for explanation 74 as information relating to the cognitive function of the occupant in association with the timing information 75 at which the change in the cerebral blood flow is measured. That is, the biological data management method B2 includes a step of storing the cerebral blood flow distribution image 71, the first comment 73, the cognitive function level 72, and the second comment 74 in the server 20 in association with the timing information 75 for measuring the change in the cerebral blood flow (step S27).
Next, in step S28, the server 20 notifies the display terminal 30 of the display in which the cognitive function information screen 33 can be updated (notification that the cognitive function information screen 33 can be updated).
Next, in step S29, when receiving the notice that the cognitive function information screen 33 is updatable from the server 20, the display terminal 30 displays a message 32g indicating that the display of the cognitive function information screen 33 is updated on the information display screen 32. That is, the biometric data management method B2 further includes the following steps (step S29): when the server 20 notifies that the display of the cognitive function information screen 33 can be updated, a message 32g indicating that the display of the cognitive function information screen 33 has been updated is displayed on the information display screen 32.
Next, in step S30, the user of the display terminal 30 (family member of the resident, etc.) operates the selection portion 32d for accepting an input operation for displaying the cognitive function information screen 33 on the information display screen 32, thereby displaying the cognitive function information screen 33. Then, the display terminal 30 receives (downloads) all the information (the cerebral blood flow distribution image 71, the cognitive function level 72, the first explanation comment 73, the second explanation comment 74, and the time period information 75) displayed on the cognitive function information screen 33 from the server 20, and displays the received cerebral blood flow distribution image 71, the first explanation comment 73, the cognitive function level 72, and the second explanation comment 74 on the cognitive function information screen 33 including the display field 33a of the cerebral blood flow distribution image 71, the display field 33b of the first explanation comment 73, the display field 33c of the cognitive function level 72, and the display field 33d of the second explanation comment 74. That is, the biometric data management method B2 includes the following steps (step S30): the brain blood flow distribution image 71, the first comment annotation 73, the cognitive function level 72, and the second comment annotation 74 are transmitted to the display terminal 30, and the brain blood flow distribution image 71, the first comment annotation 73, the cognitive function level 72, and the second comment annotation 74 are displayed on the same screen in the display terminal 30.
The order of step S23 and step S24 may be reversed, or they may be performed simultaneously. The order of step S25 and step S26 may be reversed, or they may be performed simultaneously. Note that the comment-maker of the first comment 73 in step S25 and the comment-maker of the second comment 74 in step S26 may be the same person or different persons. In addition, in step S29, in the case where the cognitive function information screen 33 is being displayed when the cognitive function information screen 33 updatable notification is received from the server 20, the "display of the message 32 g" in step S29 and the "display of the cognitive function information screen 33 based on the operation of the selection part 32 d" in step S30 are omitted. In step S30, the display terminal 30 may receive the brain blood flow distribution image 71 in a streaming (streaming) manner from the server 20.
[ Effect of the embodiment ]
In the present embodiment, the following effects can be obtained.
(Effect of biological data management method)
In the present embodiment, as described above, the biometric data management method B2 includes the steps of: step S21 of measuring biological information reflecting the brain activity state of the subject in the brain function measuring device 40; a step S23 of generating a brain blood flow distribution image 71 imaged based on biological information; step S22, transmitting the biological information and the brain blood flow distribution image 71 to the server 20; and a step S25 of inputting a first comment annotation 73 relating to the brain activity state based on the brain blood flow distribution image 71 transmitted to the server 20. The biological data management method B2 further includes a step S30, in which the brain blood flow distribution image 71 and the first comment 73 corresponding to the brain blood flow distribution image 71 are transmitted to the display terminal 30, and the brain blood flow distribution image 71 and the first comment 73 are displayed on the same screen on the display terminal 30, in step S30. Thus, the user of the display terminal 30 can view the brain blood flow distribution image 71 and the first comment 73 explaining the state of the cognitive function based on the brain blood flow distribution image 71, which correspond to each other, at the same time on the display terminal 30, and therefore, even when it is difficult for a person who does not have expert knowledge about the cognitive function to understand the brain blood flow distribution image 71 displayed on the display terminal 30, the user can easily understand the meaning of the brain blood flow distribution image 71 displayed on the same screen as the first comment 73 on the display terminal 30. As a result, even when it is difficult for a person without expert knowledge to understand the measurement result of the biological information, the family of the patient and the like can grasp the state of the patient based on the measurement result of the biological information at the location of the patient's own home and the like.
In the present embodiment, as described above, the step S30 of displaying the cerebral blood flow distribution image 71 and the first comment 73 includes the steps of: the brain blood flow distribution image 71 and the first comment 73 are displayed on the cognitive function information screen 33 including the display field 33a of the brain blood flow distribution image 71 and the display field 33b of the first comment 73. This makes it possible to easily display the biological information image 71 and the first comment annotation 73 on the same screen on the display terminal 30.
In addition, in the present embodiment, as described above, the method further includes step S27 of storing the cerebral blood flow distribution image 71 and the first comment 73 in the server 20 in association with each other. Thereby, the server 20 can easily transmit the brain blood flow distribution image 71 and the first comment 73 corresponding to each other to the display terminal 30. Further, since the server 20 stores the brain blood flow distribution image 71 and the first comment 73 in association with each other, the brain blood flow distribution image 71 and the first comment 73 stored in the server 20 can be used as analysis data relating to cognitive functions.
In the present embodiment, as described above, the biometric data management method B2 further includes the steps of: step S24 of calculating a cognitive function level 72 related to a cognitive function based on the biometric information transmitted to the server 20; and a step S26 of inputting a second comment annotation 74 which explains the state of the cognitive function based on the cognitive function level 72. Also, the step S30 of displaying the brain blood flow distribution image 71 and the first comment 73 includes the steps of: the brain blood flow distribution image 71, the cognitive function level 72, the first comment annotation 73, and the second comment annotation 74 are transmitted to the display terminal 30, and the display terminal 30 displays not only the brain blood flow distribution image 71 and the first comment annotation 73 but also the cognitive function level 72 and the second comment annotation 74 on the same screen. Thus, the user of the display terminal 30 can view the cognitive function level 72 and the second comment 74, which explains the state of the cognitive function based on the cognitive function level 72, which correspond to each other, at the same time on the display terminal 30, and therefore the user of the display terminal 30 can easily understand the meaning of the cognitive function level 72 by viewing the second comment 74 displayed on the display terminal 30. In addition, the user of the display terminal 30 can view the brain blood flow distribution image 71 and the first comment or comment 73, the cognitive function level 72, and the second comment or comment 74 at the same time in the display terminal 30, and therefore, the user of the display terminal 30 can know the state of the cognitive function of the subject in more detail than the case where only the brain blood flow distribution image 71 and the first comment or comment 73 are displayed in the display terminal 30.
In the present embodiment, as described above, the step S30 of displaying not only the cerebral blood flow distribution image 71 and the first comment 73 but also the cognitive function level 72 and the second comment 74 includes the steps of: the cerebral blood flow distribution image 71, the first explanation comment 73, the cognitive function level 72, and the second explanation comment 74 are displayed on the cognitive function information screen 33 including the display field 33a of the cerebral blood flow distribution image 71, the display field 33b of the first explanation comment 73, the display field 33c of the cognitive function level 72, and the display field 33d of the second explanation comment 74. This makes it possible to easily display the cerebral blood flow distribution image 71, the first comment 73, the cognitive function level 72, and the second comment 74 on the same screen on the display terminal 30.
In the present embodiment, as described above, the cognitive function level 72 is an index relating to a cognitive function calculated from a model constructed in advance based on biological information measured when a plurality of subjects are given a biological activity for inducing a cognitive function. This makes it possible to easily calculate the cognitive function index 72 based on the biological information from a model constructed in advance.
In the present embodiment, as described above, the step S27 of storing the cerebral blood flow distribution image 71 and the first comment 73 includes the steps of: not only the brain blood flow distribution image 71 and the first comment annotation 73 but also the cognitive function level 72 and the second comment annotation 74 are stored in association in the server 20. Thus, the server 20 can easily transmit the brain blood flow distribution image 71, the first comment 73, the cognitive function level 72, and the second comment 74, which correspond to each other, to the display terminal 30. Further, since the server 20 stores the cerebral blood flow distribution image 71, the first explanation comment 73, the cognitive function level 72, and the second explanation comment 74 in association with each other, the cerebral blood flow distribution image 71, the first explanation comment 73, the cognitive function level 72, and the second explanation comment 74 stored in the server 20 can be used as analysis data relating to cognitive functions.
In the present embodiment, as described above, the step S27 of storing not only the cerebral blood flow distribution image 71 and the first comment 73 but also the cognitive function level 72 and the second comment 74 includes the steps of: the brain blood flow distribution image 71, the first comment 73, the cognitive function level 72, and the second comment 74 are stored in association with time information 75 at which the biological information is measured. Thus, the server 20 can easily store the brain blood flow distribution image 71, the first comment 73, the cognitive function level 72, and the second comment 74 in association with each other.
In the present embodiment, as described above, the step S30 of displaying the cerebral blood flow distribution image 71 and the first comment 73 includes the steps of: the cognitive function information screen 33 is displayed by operating a selection section 32d that receives an input operation for displaying the cognitive function information screen 33 in the state display screen 32 that indicates the state of the subject displayed on the display terminal 30. Thereby, the user of the display terminal 30 can easily display the cognitive function information screen 33 by operating the selection portion 32d in a case where the user wants to know the state of the cognitive function of the subject or in a case where the cerebral blood flow distribution image 71 and the first comment annotation 73 are updated.
In the present embodiment, as described above, the biometric data management method B2 further includes the step S29 of displaying the message 32g indicating that the display of the cognitive function information screen 33 has been updated on the status display screen 32 when the server 20 notifies that the display of the cognitive function information screen 33 can be updated in the step S29. Thus, the user of the display terminal 30 can easily know that the biological information image 71 and the first comment annotation 73 have been updated by viewing the message 32g on the information display screen 32.
In the present embodiment, as described above, the brain function measuring device 40 is a measuring device that measures biological information using near infrared spectroscopy, which is a method of measuring the oxygen state of a biological tissue using light in the near infrared region. The biological information is a change in cerebral blood flow. The cerebral blood flow distribution image 71 is a moving image showing a change in cerebral blood flow volume obtained by temporally connecting still images showing a plurality of cerebral blood flow distributions measured at the same time for the same subject. Thus, since the brain blood flow distribution image 71 shows the state of the cognitive function of the subject with relatively high accuracy, the reliability of the first comment annotation 73 can be improved as compared with a case where the first comment annotation 73 is acquired based on an image other than the brain blood flow distribution image 71.
(Effect of biological data management System)
In the present embodiment, as described above, the biological data management system 100 includes: a brain function measuring device 40 that measures biological information reflecting the brain activity state of the subject; a brain function measuring device 40 that generates a brain blood flow distribution image 71 that is imaged based on biological information; and a server 20 that receives the biological information and the brain blood flow distribution image 71 from the brain function measurement device 40, and is input with a first comment 73 relating to the brain activity state based on the brain blood flow distribution image 71. The biological data management system 100 further includes a display terminal 30, and the display terminal 30 receives the cerebral blood flow distribution image 71 and the first comment 73 corresponding to the cerebral blood flow distribution image 71 from the server 20, and displays the received cerebral blood flow distribution image 71 and the first comment 73 on the same screen. Thus, the user of the display terminal 30 can view the brain blood flow distribution image 71 and the first comment 73 explaining the state of the cognitive function based on the brain blood flow distribution image 71, which correspond to each other, at the same time on the display terminal 30, and therefore, even when it is difficult for a person who does not have expert knowledge about the cognitive function to understand the brain blood flow distribution image 71 displayed on the display terminal 30, the user can easily understand the meaning of the brain blood flow distribution image 71 displayed on the same screen as the first comment 73 on the display terminal 30. As a result, the following biological data management system 100 can be provided: even when it is difficult for a person without expert knowledge to understand the measurement result of the biological information, the family of the patient and the like can grasp the state of the patient based on the measurement result of the biological information at the location of the patient's own home and the like.
(Effect of biological data management program)
In the present embodiment, as described above, the biological data management program B1 is configured to cause the CPU 30B to execute the following control: a brain blood flow distribution image 71 and a first comment 73 are received from the server 20, the brain blood flow distribution image 71 being an image obtained by imaging based on biological information reflecting the brain activity state of the subject measured by the brain function measurement device 40, and the first comment 73 being a comment that is input based on the brain blood flow distribution image 71, is related to the brain activity state, and corresponds to the brain blood flow distribution image 71. The biological data management program B1 is configured to cause the CPU 30B to execute the following control: the received cerebral blood flow distribution image 71 and the first comment 73 are displayed on the same screen in the display terminal 30. Thus, the user of the display terminal 30 can view the brain blood flow distribution image 71 and the first comment 73 explaining the state of the cognitive function based on the brain blood flow distribution image 71, which correspond to each other, at the same time on the display terminal 30, and therefore, even when it is difficult for a person who does not have expert knowledge about the cognitive function to understand the brain blood flow distribution image 71 displayed on the display terminal 30, the user can easily understand the meaning of the brain blood flow distribution image 71 displayed on the same screen as the first comment 73 on the display terminal 30. As a result, the following biological data management program B1 can be provided: even when it is difficult for a person without expert knowledge to understand the measurement result of the biological information, the family of the patient and the like can grasp the state of the patient based on the measurement result of the biological information at the location of the patient's own home and the like.
[ modified examples ]
The embodiments disclosed herein are to be considered in all respects as illustrative and not restrictive. The scope of the present invention is defined by the claims rather than the description of the above embodiments, and includes all modifications (variations) within the meaning and scope equivalent to the claims.
For example, although the above-described embodiment shows an example in which the cerebral blood flow distribution image 71 is a moving image showing changes in cerebral blood flow obtained by temporally connecting still images showing a plurality of cerebral blood flow distributions measured at the same time for the same subject, the present invention is not limited to this. In the present invention, the cerebral blood flow map may be a still image showing one cerebral blood flow distribution.
In addition, in the above embodiment, the following example is shown: when notified by the server 20 that the display of the cognitive function information screen 33 can be updated, the display terminal 30 displays a message 32g indicating that the display of the cognitive function information screen 33 has been updated on the information display screen 32, but the present invention is not limited thereto. In the present invention, the display terminal may change a display mode of the selected portion for displaying the cognitive function information screen on the information display screen when the server notifies that the cognitive function information screen can be updated. For example, it is conceivable to change the display mode of the selected portion by changing the color of the selected portion, blinking the selected portion, changing the size of the selected portion, or the like. In addition, the display terminal may be configured to display a message indicating that the display of the cognitive function information screen has been updated on the information display screen when all or a part of the information displayed on the cognitive function information screen is acquired from the server.
In the above embodiment, the example in which the display terminal 30 displays the cerebral blood flow distribution image 71, the first comment for explanation 73, the cognitive function level 72, and the second comment for explanation 74 on the same screen has been described, but the present invention is not limited to this. In the present invention, the display terminal may display the cerebral blood flow distribution image and the first comment, the cognitive function level and the second comment on different screens.
In the above embodiment, the display terminal 30 displays the brain blood flow distribution image 71, the first comment for explanation 73, the cognitive function level 72, and the second comment for explanation 74, but the present invention is not limited to this. In the present invention, the display terminal 30 may display only the cerebral blood flow distribution image and the first comment. In this case, the display terminal may not acquire the cognitive function level and the second comment note, or the server may not transmit the cognitive function level and the second comment note to the display terminal. Also, the server may not receive the cognitive function level and the second comment note.
In the above embodiment, the example in which the two display fields 33a of the cerebral blood flow distribution image 71 are provided on the cognitive function information screen 33 is shown, but the present invention is not limited to this. In the present invention, only one display field of the cerebral blood flow distribution image may be provided on the cognitive function information screen, or three or more display fields may be provided.
In the above embodiment, the example in which the display field 33b of the first comment 73 is disposed at the position immediately above the display field 33a of the brain blood flow distribution image 71 has been described, but the present invention is not limited to this. In the present invention, the display field of the first comment note may be disposed at a position other than the upper position (for example, the lower position) of the display field of the cerebral blood flow distribution image.
In the above embodiment, the display field 33d of the second comment 74 is disposed at the position immediately above the display field 33c of the cognitive function level 72, but the present invention is not limited to this. In the present invention, the display field of the second comment note may be disposed in a position other than the position adjacent to the upper position of the display field of the cognitive function level (for example, the position adjacent to the lower position).
In addition, in the above embodiment, the following example is shown: in the display field 33c of the cognitive function level 72, the relationship between the cognitive function level 72 and the time information 75 is displayed in a line graph with the horizontal axis representing the age and the vertical axis representing the cognitive function level 72, but the present invention is not limited thereto. In the present invention, the relationship between the cognitive function level and the time information may be displayed only by plotted points in the display field of the cognitive function level. The horizontal axis may be the cognitive function level, and the vertical axis may be the age, and the cognitive function level and the age may be displayed in a line graph.
In addition, in the above embodiment, the following example is shown: the graph showing the relationship between the cognitive function level 72 and the time period information 75 is displayed in a state where the absolute value of the cognitive function level 72 is not displayed and the relative change of the cognitive function level 72 is displayed, but the present invention is not limited thereto. In the present invention, a graph showing the relationship between the cognitive function level and the time information may be displayed in a state where the absolute value of the cognitive function level is displayed and the relative change of the cognitive function level is displayed.
In addition, in the above embodiment, the following example is shown: the change information 72a relating to the temporal change of the cognitive function level 72 in different periods is displayed as a graph showing the relationship between the cognitive function level 72 and the period information 75, but the present invention is not limited to this. In the present invention, change information regarding temporal changes in cognitive function levels at different times may be displayed as numerical values indicating relative values or change rates between a plurality of cognitive function levels.
In the above embodiment, the example in which the change information 72a relating to the temporal change of the cognitive function level 72 at different times is displayed in the display column 33c of the cognitive function level 72 is shown, but the present invention is not limited to this. In the present invention, the cognitive function level at the time of one measurement may be displayed in the cognitive function level display field.
In addition, in the above embodiment, the following example is shown: the brain function measuring device 40 is configured to generate the brain blood flow distribution image 71 by imaging the measurement data 60, and to transmit the measurement data 60 and the brain blood flow distribution image 71 to the server 20, but the present invention is not limited thereto. In the present invention, the brain function measuring device may transmit the measurement data to the server without generating the brain blood flow distribution image, and the server may generate the brain blood flow distribution image by imaging the measurement data received from the brain function measuring device. The brain function measuring device may transmit the measurement data to the server without generating the brain blood flow distribution image, the server may transmit the measurement data to the imaging processing device or the like when receiving the measurement data, the imaging processing device or the like may image the measurement data to generate the brain blood flow distribution image, and the server may acquire the brain blood flow distribution image from the imaging processing device or the like. The brain function measuring device may transmit the measurement data to the imaging processing device or the like without generating the brain blood flow distribution image, the imaging processing device or the like may image the measurement data to generate the brain blood flow distribution image, and the server may acquire the brain blood flow distribution image from the imaging processing device or the like.
In addition, in the above embodiment, the following example is shown: the server 20 calculates the cognitive function level 72 related to the cognitive function based on the measurement data 60 when acquiring the measurement data 60 transmitted from the brain function measuring device 40, but the present invention is not limited thereto. In the present invention, the server may transmit the measurement data to the analysis device or the like when acquiring the measurement data, calculate the cognitive function level related to the cognitive function by the analysis device or the like, and acquire the cognitive function level from the analysis device or the like. The brain function measuring device may transmit the measurement data to an analysis device or the like, calculate a cognitive function level related to the cognitive function by the analysis device or the like, and acquire the cognitive function level from the analysis device or the like.
In the above-described embodiment, the first comment annotation 73 and the second comment annotation 74 are created by a person having professional knowledge of cognitive function (comment annotation creator), but the present invention is not limited to this. In the present invention, the first comment note and the second comment note may be made by computer processing. In this case, the first comment and the second comment may be created by a computer that machine-learns the brain blood flow distribution image and the cognitive function level. The first comment and the second comment may be created by a processing unit provided in the server, or may be created by an analysis device or the like different from the server.
In addition, in the above-described embodiment, the example in which the selection part 32a (first selection part) for displaying the image data 51 of a meal is displayed on the information display screen 32 is shown, but the present invention is not limited thereto. For example, the selected portion 32a of the image data 51 for displaying a meal may be displayed in another place without being displayed on the information display screen 32.
In addition, in the above-described embodiment, the example in which the selection portion 32a (first selection portion) is a button is shown, but the present invention is not limited thereto. For example, the selection portion 32a (first selection portion) may also be a thumbnail image (reduced image).
In the above-described embodiment, the example in which the selection portion 32a (first selection portion) for displaying the image data 51 of the meal is displayed on the information display screen 32 has been described, but the present invention is not limited to this. Instead of displaying the selection portion 32a, the image data 51 of the meal may be displayed in advance on the information display screen 32.
In the above-described embodiment, the example in which the selection portion 32a (first selection portion) is arranged in the vicinity of the meal size field 31a on the information display screen 32 has been described, but the present invention is not limited to this. The selection portion 32a (first selection portion) may be disposed in a place other than the vicinity of the meal size field 31a on the information display screen 32 (for example, in the vicinity of a portion where a meal dish is displayed).
In addition, in the above-described embodiment, the example in which only the image data 51 of the meal is displayed based on the selection of the selection part 32a (first selection part) is shown, but the present invention is not limited thereto. For example, a meal item may be displayed together with the image data 51 of the meal based on the selection of the selection part 32a (first selection part).
In the above-described embodiment, the example in which the status data 50 and the image data 51 of the meal are displayed only on the display terminal 30 held by the person associated with the accommodator has been described, but the present invention is not limited to this. For example, the status data 50 and the image data 51 of meals may be displayed on a display terminal owned by the accommodator itself.
In the above-described embodiment, the example in which the image data 50a (image data) of the person who enters the house is displayed on the information display screen 32 is shown, but the present invention is not limited to this. For example, moving image data of the person who enters the house may be displayed on the information display screen 32. In addition, the voice data of the person who enters the house may be displayed on the information display screen 32. In these cases, the image data 50a of the occupant may not be displayed.
In the above-described embodiment, the example in which the manager of server 20 determines whether or not status data 50 and image data 51 of meals can be transmitted to display terminal 30 has been described, but the present invention is not limited to this. For example, the determination may be automatically performed based on a function in the server 20.
In the present invention, the server may be constituted by not only a single server apparatus but also a plurality of server apparatuses. That is, some of the functions provided by the servers may be provided by one server apparatus, and some of the functions provided by the servers may be provided by another server apparatus. For example, it is conceivable that a browsing server device for storing information and the like to be displayed on a display terminal and an analysis server device for analyzing data are provided as separate devices.
In this case, for example, a second comment explaining the state of the cognitive function may be stored in the browsing server device, and the measurement data and the cerebral blood flow distribution image may be stored in the analysis server device. The browsing server device may store not only the second comment but also a cerebral blood flow distribution image that is most suitable as a basis for the second comment among the cerebral blood flow distribution images stored in the analysis server device. In this case, the server device for browsing may perform data processing such as reduction of the data size and store the cerebral blood flow distribution image.
In the above-described embodiment, the measurement data 60 obtained by measuring a change in cerebral blood flow using functional near infrared spectroscopy is shown as an example of biological information reflecting the brain activity state, but the present invention is not limited to this. In the present invention, measurement data measured by a measurement method other than functional near infrared spectroscopy (for example, nuclear magnetic resonance imaging) may be used as the biological information reflecting the brain activity state.
In the above-described embodiment, the image data 51 of a meal is an example of image data before a meal, but the present invention is not limited to this. For example, the image data 51 of a meal may include not only image data before the meal but also image data after the meal. In this case, the meal size field 31a may be deleted.
In addition, in the above-described embodiment, the example in which the image data 51 of the meal and the image data 50a of the person in attendance captured by the input terminal 10 based on the image capturing function activated upon selection of the selection part 12a (first selection part) and the selection part 12f is displayed on the information input screen 12 has been described, but the present invention is not limited to this. For example, the image data 51 of a meal and the image data 50a of a person in attendance acquired (photographed) by another terminal may be transmitted to the input terminal 10 and displayed on the information input screen 12.
The screen shown in the above embodiment is merely an example, and the type of information to be displayed, the type of each display field, the arrangement of each display field, and the form and arrangement of the selection portion (GUI) are not limited to these, and can be arbitrarily changed.
In the above-described embodiment, the example in which the biological data management program a1 and the biological data management program B1 are stored in the storage unit 30c of the display terminal 30 has been described, but the present invention is not limited to this. In the present invention, the biometric data management program a1 may not be stored in the storage unit of the display terminal, but the biometric data management program B1 may be stored.
[ means ]
It will be understood by those skilled in the art that the above-described exemplary embodiments are specific examples of the following modes.
(item 1)
A biological data management method comprising the steps of:
measuring, in a measuring section, biological information reflecting an activity state of a subject;
generating a biological information image obtained by imaging based on the biological information;
transmitting the biological information and the biological information image to a management server;
inputting a first comment annotation regarding the brain activity state based on the biological information image transmitted to the management server; and
and sending the biological information image and the first comment corresponding to the biological information image to a display terminal, wherein the biological information image and the first comment are displayed on the same screen in the display terminal.
(item 2)
The biological data management method according to item 1, wherein,
the step of displaying the biological information image and the first comment includes the steps of: displaying the biological information image and the first comment annotation on a cognitive function information screen including a display field of the biological information image and a display field of the first comment annotation.
(item 3)
The biological data management method according to item 2, wherein,
further comprising the steps of: storing the biological information image and the first comment annotation in association in the management server.
(item 4)
The biological data management method according to item 2 or 3, further comprising:
calculating a cognitive function index related to the cognitive function based on the biological information transmitted to the management server; and
inputting a second comment annotation that explains a state of the cognitive function based on the cognitive function index,
the step of displaying the biological information image and the first comment includes the steps of: and sending the biological information image, the cognitive function index, the first comment annotation and the second comment annotation to the display terminal, wherein the display terminal displays the biological information image and the first comment annotation on the same screen, and also displays the cognitive function index and the second comment annotation on the same screen.
(item 5)
The biological data management method according to item 4, wherein,
the step of displaying not only the biological information image and the first comment but also the cognitive function index and the second comment includes the steps of: displaying the biological information image, the first comment, the cognitive function index, and the second comment on the cognitive function information screen including a display field of the biological information image, a display field of the first comment, a display field of the cognitive function index, and a display field of the second comment.
(item 6)
The biological data management method according to item 4 or 5, wherein,
the cognitive function index is an index relating to the cognitive function calculated from a pre-constructed model based on the biological information measured when a task for inducing a biological activity relating to the cognitive function is given to the plurality of subjects.
(item 7)
The biological data management method according to any one of items 4 to 6, wherein,
the step of storing the biological information image and the first comment annotation includes the steps of: storing not only the biological information image and the first comment but also the cognitive function index and the second comment in association with each other in the management server.
(item 8)
The biological data management method according to claim 7, wherein,
the step of storing not only the biological information image and the first comment but also the cognitive function index and the second comment includes the steps of: and storing the biological information image, the first comment, the cognitive function index, and the second comment in association with time information at which the biological information is measured.
(item 9)
The biological data management method according to any one of items 2 to 8, wherein,
the step of displaying the biological information image and the first comment includes the steps of: the cognitive function information screen is displayed by operating a selection section that accepts an input operation for displaying the cognitive function information screen, in a state display screen of the display terminal that represents a state of the subject.
(item 10)
The biological data management method according to item 9, wherein,
further comprising the steps of: when the management server notifies that the display of the cognitive function information screen can be updated, a message indicating that the display of the cognitive function information screen has been updated is displayed on the status display screen.
(item 11)
The biological data management method according to any one of items 1 to 10, wherein,
the measurement unit is a measurement device that measures the biological information using near infrared spectroscopy, which is a method of measuring an oxygen state of a biological tissue using light in a near infrared region,
the biological information is a change in cerebral blood flow,
the biological information image is a moving image showing a change in the cerebral blood flow volume, the moving image being obtained by temporally connecting still images showing a plurality of cerebral blood flow distributions measured at the same time for the same subject.
(item 12)
A biological data management system is provided with:
a measurement unit that measures biological information reflecting a brain activity state of a subject;
a generation unit that generates a biological information image obtained by imaging based on the biological information;
a server that receives the biological information and the biological information image from the measurement unit and the generation unit, respectively, and that inputs a first comment regarding the brain activity state based on the biological information image; and
a display terminal that receives the biological information image and the first comment corresponding to the biological information image from the server, and displays the received biological information image and the first comment on the same screen.
(item 13)
A biological data management program for causing a computer to execute:
receiving, from a management server, a biological information image that is an image obtained by imaging based on biological information reflecting a brain activity state of a subject measured in a measurement unit, and a first comment annotation that is an annotation that is input based on the biological information image, that is related to the brain activity state and that corresponds to the biological information image; and
and displaying the received biological information image and the first comment on the same screen in a display terminal.

Claims (13)

1. A biological data management method comprising the steps of:
measuring biological information reflecting a brain activity state of the subject in a measuring section;
generating a biological information image obtained by imaging based on the biological information;
transmitting the biological information and the biological information image to a management server;
inputting a first comment annotation regarding the brain activity state based on the biological information image transmitted to the management server; and
and sending the biological information image and the first comment corresponding to the biological information image to a display terminal, wherein the biological information image and the first comment are displayed on the same screen in the display terminal.
2. The biological data management method according to claim 1,
the step of displaying the biological information image and the first comment includes the steps of: displaying the biological information image and the first comment annotation on a cognitive function information screen including a display field of the biological information image and a display field of the first comment annotation.
3. The biological data management method according to claim 2,
further comprising the steps of: storing the biological information image and the first comment annotation in association in the management server.
4. The biological data management method according to claim 2 or 3, further comprising:
calculating a cognitive function index related to a cognitive function based on the biological information transmitted to the management server; and
inputting a second comment annotation that explains a state of the cognitive function based on the cognitive function index,
the step of displaying the biological information image and the first comment includes the steps of: and sending the biological information image, the cognitive function index, the first comment annotation and the second comment annotation to the display terminal, wherein the display terminal displays the biological information image and the first comment annotation on the same screen, and also displays the cognitive function index and the second comment annotation on the same screen.
5. The biological data management method according to claim 4,
the step of displaying not only the biological information image and the first comment but also the cognitive function index and the second comment includes the steps of: displaying the biological information image, the first comment, the cognitive function index, and the second comment on the cognitive function information screen including a display field of the biological information image, a display field of the first comment, a display field of the cognitive function index, and a display field of the second comment.
6. The biological data management method according to claim 4,
the cognitive function index is an index relating to the cognitive function calculated from a pre-constructed model based on the biological information measured when a task for inducing a biological activity relating to the cognitive function is given to the plurality of subjects.
7. The biological data management method according to claim 4,
the step of storing the biological information image and the first comment annotation includes the steps of: storing not only the biological information image and the first comment but also the cognitive function index and the second comment in association with each other in the management server.
8. The biological data management method according to claim 7,
the step of storing not only the biological information image and the first comment but also the cognitive function index and the second comment includes the steps of: and storing the biological information image, the first comment, the cognitive function index, and the second comment in association with time information at which the biological information is measured.
9. The biological data management method according to claim 2,
the step of displaying the biological information image and the first comment includes the steps of: the cognitive function information screen is displayed by operating a selection section that accepts an input operation for displaying the cognitive function information screen, in a state display screen of the display terminal that represents a state of the subject.
10. The biological data management method according to claim 9,
further comprising the steps of: when the management server notifies that the display of the cognitive function information screen can be updated, a message indicating that the display of the cognitive function information screen has been updated is displayed on the status display screen.
11. The biological data management method according to claim 1,
the measurement unit is a measurement device that measures the biological information using near infrared spectroscopy, which is a method of measuring an oxygen state of a biological tissue using light in a near infrared region,
the biological information is a change in cerebral blood flow,
the biological information image is a moving image showing a change in the cerebral blood flow volume, which is obtained by temporally connecting still images showing a plurality of cerebral blood flow distributions measured at the same time for the same subject.
12. A biological data management system is provided with:
a measurement unit that measures biological information reflecting a brain activity state of a subject;
a generation unit that generates a biological information image obtained by imaging based on the biological information;
a management server that receives the biological information and the biological information image from the measurement unit and the generation unit, respectively, and that inputs a first comment regarding the brain activity state based on the biological information image; and
a display terminal that receives the biological information image and the first comment corresponding to the biological information image from the management server, and displays the received biological information image and the first comment on the same screen.
13. A computer-readable recording medium having recorded thereon a biological data management program for causing a computer to execute:
receiving, from a management server, a biological information image that is an image obtained by imaging based on biological information reflecting a brain activity state of a subject measured in a measurement unit, and a first comment annotation that is an annotation that is input based on the biological information image, that is related to the brain activity state and that corresponds to the biological information image; and
and displaying the received biological information image and the first comment on the same screen in a display terminal.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110218820A1 (en) * 2010-03-02 2011-09-08 Himes David M Displaying and Manipulating Brain Function Data Including Filtering of Annotations
US20110219325A1 (en) * 2010-03-02 2011-09-08 Himes David M Displaying and Manipulating Brain Function Data Including Enhanced Data Scrolling Functionality
JP2014151112A (en) * 2013-02-13 2014-08-25 Toshiba Corp Image analysis device, and magnetic resonance imaging apparatus
WO2015125262A1 (en) * 2014-02-21 2015-08-27 株式会社日立製作所 Biological optical measurement device and biological optical measurement method
JP2018134230A (en) * 2017-02-22 2018-08-30 マツダ株式会社 Brain blood flow state determination method and device thereof

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6475132B2 (en) * 2015-09-24 2019-02-27 株式会社日立製作所 Diagnostic assistance system and diagnostic assistance information display method
JP6899111B2 (en) * 2017-05-12 2021-07-07 株式会社Ｓｐｌｉｎｋ Server system, methods and programs executed by the server system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110218820A1 (en) * 2010-03-02 2011-09-08 Himes David M Displaying and Manipulating Brain Function Data Including Filtering of Annotations
US20110219325A1 (en) * 2010-03-02 2011-09-08 Himes David M Displaying and Manipulating Brain Function Data Including Enhanced Data Scrolling Functionality
JP2014151112A (en) * 2013-02-13 2014-08-25 Toshiba Corp Image analysis device, and magnetic resonance imaging apparatus
WO2015125262A1 (en) * 2014-02-21 2015-08-27 株式会社日立製作所 Biological optical measurement device and biological optical measurement method
JP2018134230A (en) * 2017-02-22 2018-08-30 マツダ株式会社 Brain blood flow state determination method and device thereof

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