WO2020095446A1 - Système serveur, et procédé et programme destinés à être mis en oeuvre par un système serveur - Google Patents

Système serveur, et procédé et programme destinés à être mis en oeuvre par un système serveur Download PDF

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Publication number
WO2020095446A1
WO2020095446A1 PCT/JP2018/041701 JP2018041701W WO2020095446A1 WO 2020095446 A1 WO2020095446 A1 WO 2020095446A1 JP 2018041701 W JP2018041701 W JP 2018041701W WO 2020095446 A1 WO2020095446 A1 WO 2020095446A1
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Prior art keywords
information
user
communication terminal
server system
dementia
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PCT/JP2018/041701
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English (en)
Japanese (ja)
Inventor
裕紀 青山
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株式会社Ｓｐｌｉｎｋ
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Priority to PCT/JP2018/041701 priority Critical patent/WO2020095446A1/fr
Publication of WO2020095446A1 publication Critical patent/WO2020095446A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow

Definitions

  • the present invention relates to a server system useful for prevention of dementia, a method executed by the server system, and a program.
  • 2013-66632 discloses a system equipped with VSRAD (registered trademark), which is image processing / statistical analysis software for reading the degree of atrophy near the parahippocampal gyrus from MRI brain images. All of these conventional systems have a common point of analyzing a captured MRI brain image to detect a region of brain abnormality or atrophy.
  • VSRAD registered trademark
  • Dementia is one of the brain diseases. There are several kinds of diseases that cause dementia, and a typical example thereof is an Alzheimer-type degenerative disease. When dementia is diagnosed, it is often at a stage where it is difficult to control the progress even if the treatment is performed from that time. Therefore, early detection and early treatment of dementia are especially important. However, dementia may be difficult to distinguish from simple forgetfulness, and it is difficult to notice that dementia symptoms are present.
  • Dementia can be prevented by taking appropriate measures such as improving lifestyle habits. Fortunately, recent studies have shown that the hippocampus begins to shrink about 5 years ago when the symptoms of dementia become apparent, and about 15 years ago, already about 15 years ago, substances that were already harmful to the brain It is becoming clear that they start to accumulate (for example, see page 45 of "How to Create a" Lifelong Healthy Brain “You Can Do by Yourself” (Takarajimasha, First Edition, 2016)). It is effective to prevent dementia if the lifestyle is improved or treated at a stage when it is known that there is a risk of dementia.
  • a doctor may be able to predict the future dementia risk of a patient by reading the degree of atrophy near the parahippocampal gyrus of the brain by using the system disclosed in Japanese Patent Laid-Open No. 2013-66632.
  • patients do not have such a system.
  • even if a doctor can use such a system to convey the risk of dementia to a patient it is necessary for the patient to first go to a hospital and have an MRI brain image taken. Costly and time consuming.
  • an object of the present invention is to provide a technology that allows a user to easily know the dementia risk and contribute to the prevention of dementia.
  • a method executed by a server system is to obtain exercise information of a user by communicating with an information communication terminal of the user via a network, and to obtain exercise information about the obtained exercise information.
  • the method includes performing a statistical test with a data group associated with dementia risk, evaluating the dementia risk of the user, and providing an evaluation result of the dementia risk to the information communication terminal.
  • a server system communicates with a user's information communication terminal via a network to obtain an exercise information of the user, and with respect to the obtained exercise information, exercise information and dementia risk.
  • An evaluation unit that evaluates the dementia risk of the user by performing a statistical test with the data group associated with each other, and a providing unit that provides the information communication terminal with the evaluation result of the dementia risk.
  • a program is to: (1) obtain user's exercise information by communicating with an information communication terminal to a server system communicatively connected to the user's information communication terminal via a network. And (2) for the acquired exercise information, performing a statistical test with a data group in which the exercise information and the dementia risk are associated with each other to evaluate the dementia risk of the user, and (3) evaluating the dementia risk. The result is provided to the information communication terminal, and the result is executed.
  • the program which concerns on the other aspect of this invention is a user's information-communication terminal connected to the server system via a network so that it can be exercised by a user using the equipment mounted in the information-communication terminal.
  • FIG. 2 is a diagram showing an example of a subject DB in which exercise information is associated with dementia risk and the like in the server system of FIG. 1. It is a figure which shows an example of several brain images of a test subject.
  • FIG. 1 It is a figure which shows an example of the brain atrophy site
  • the information processing system 100 includes information communication terminals 110-1, 110-2, 110-3, ... Of a plurality of users 1, 2, 3 ,.
  • the server system 120 is configured to be connectable to the network 130.
  • the server system 120 is an information processing device that provides the information communication terminal 110 with the evaluation result of dementia risk, and is configured by one or a plurality of computers.
  • the server system 120 communicates with the information communication terminal 110 via the network 130 to receive or acquire predetermined information such as user's exercise information from the information communication terminal 110. Further, the server system 120 evaluates the dementia risk of the user and determines lifestyle advice to the user. Further, the server system 120 communicates with the information communication terminal 110 via the network 130 to transmit or provide the evaluation result such as dementia risk and lifestyle advice to the information communication terminal 110.
  • the network 130 includes a LAN, WAN, a wired or wireless network, the Internet, or the like.
  • the information communication terminal 110 of each user includes the mobile terminal 200, the wearable device 210, or both of them.
  • the information communication terminal 110-1 of the user 1 includes the mobile terminal 200 and the wearable device 210, and the wearable device 210 is associated with the mobile terminal 200.
  • the information communication terminal 110-2 of the user 2 includes the mobile terminal 200, but does not include the wearable device associated with the mobile terminal 200.
  • the information communication terminal 110-3 of the user 3 includes the wearable device 210 but does not include the mobile terminal 200 associated therewith.
  • the mobile terminal 200 can be composed of a computer having a communication function and a display function.
  • the mobile terminal 200 includes a mobile phone, a smartphone, a PDA, or a tablet computer.
  • the mobile terminal 200 is an iPhone (registered trademark) brand smartphone.
  • the wearable device 210 is an information communication terminal with a communication function that a user can wear and use.
  • the wearable device 210 can take a form according to the mounting form. For example, in addition to glasses, goggles, wrist watches, wristbands, headsets, earphones, necklaces, accessories such as rings and bracelets, and clothing such as underwear, gloves and socks can be adopted.
  • An example of the wearable device 210 is an Apple Watch (registered trademark) brand wristwatch device.
  • the wearable device 210 When the wearable device 210 is roughly classified into two types, there are a type associated with the mobile terminal 200 and a type not associated with the mobile terminal 200. In the case of the former type, the wearable device 210 cooperates with the mobile terminal 200 to perform various functions. For example, the wearable device 210 can display information received by the mobile terminal 200 (for example, incoming mail) on the screen of the wearable device 210, and can transmit information from the mobile terminal 200 by operating the wearable device 210. it can. Furthermore, the wearable device 210 can acquire the exercise information of the user by using the wearable device 210 or a device mounted on the mobile terminal 200.
  • the wearable device 210 can display information received by the mobile terminal 200 (for example, incoming mail) on the screen of the wearable device 210, and can transmit information from the mobile terminal 200 by operating the wearable device 210. it can.
  • the wearable device 210 can acquire the exercise information of the user by using the wearable device 210 or a device mounted on the mobile terminal 200.
  • the exercise information of the user is obtained by linking the information obtained by the exercise sensor incorporated in the wearable device 210 with the position information obtained by the GPS device (Global Positioning System) incorporated in the mobile terminal 200. be able to.
  • the wearable device 210 communicates with the mobile terminal 200 and also communicates with the server system 120 via the network 130.
  • the wearable device 210 has a predetermined function without cooperating with the mobile terminal 200.
  • the wearable device 210 has a built-in device such as a motion sensor and a GPS device to acquire the motion information of the user.
  • the wearable device 210 also communicates with the server system 120 via the network 130. Then, the wearable device 210 displays the exercise information of the user acquired by itself and the information received from the server system 120 on its own screen.
  • FIG. 2 is a block diagram showing the hardware configuration of the mobile terminal 200.
  • the mobile terminal 200 includes a communication interface 300, a user interface 310, an arithmetic processing unit 320, a storage unit 330, a motion sensor 340, and a GPS device 350.
  • the communication interface 300 has a mobile communication antenna 301 and a wireless antenna 302.
  • the mobile terminal 200 is connected to the network 130 through the mobile communication antenna 301 and performs data communication with the server system 120. Further, the mobile terminal 200 is connected to the wearable device 210 via the wireless antenna 302 and performs data communication with the wearable device 210.
  • the wireless antenna 302 for example, one compatible with a predetermined standard such as Bluetooth (registered trademark) or NFC can be used.
  • the user interface 310 has a touch panel 311 and a microphone 312.
  • the touch panel 311 has the functions of both a display device and an input device.
  • the display function of the touch panel 311 is composed of a display such as a liquid crystal display, and the evaluation result of dementia risk, brain image, etc. are displayed on the screen of the display.
  • the input function of the touch panel 311 includes a touch sensor, and detects a user's finger touch operation (operation such as tapping or swiping) on the screen of the display.
  • the microphone 312 functions as a voice input device.
  • the hard key, the button, the speaker, and the like can be included in the user interface 310.
  • the arithmetic processing unit 320 includes one or more processors, and is configured by a CPU, MPU, and the like.
  • the arithmetic processing unit 320 operates various functional units by executing programs, modules and / or instructions stored in the storage unit 330 based on various inputs. This program or the like is installed in the mobile terminal 200 by being stored in a storage medium such as a CD-ROM or a USB memory, or by being downloaded via the network 130.
  • the arithmetic processing unit 320 has a receiving unit 321 and a transmitting unit 322 as various functional units.
  • the receiving unit 321 receives various information from the server system 120 and the wearable device 210 via the communication interface 300.
  • the transmission unit 322 transmits various information to the server system 120 and the wearable device 210 via the communication interface 300.
  • the storage unit 330 is configured by a storage device such as a hard disk drive, an SSD, and a RAM, and stores various programs necessary for execution of processing in the arithmetic processing unit 320, data necessary for execution of various programs, and the like.
  • the storage unit 330 may include a non-volatile memory, and the non-volatile memory includes a non-transitory computer-readable storage medium.
  • the storage unit 330 stores software (for example, a web browser or application) for using the dementia risk evaluation provided by the server system 120.
  • the storage unit 330 also stores information input by the user via the user interface 310. For example, the storage unit 330 stores various information such as the date of birth, age, sex, height, weight, address, occupation, occupation, and regular holiday of the user.
  • the storage unit 330 also temporarily stores various information transmitted from the server system 120. Furthermore, the storage unit 330 stores information regarding the user's exercise amount calculated by the arithmetic processing unit 320.
  • the motion sensor 340 detects the movement of the mobile terminal 200, and is composed of, for example, an acceleration sensor.
  • the motion sensor 340 is, for example, a triaxial acceleration sensor, and detects motions of the mobile terminal 200 in vertical, horizontal, and rotational directions. Further, the motion sensor 340 may be a triaxial acceleration sensor and a triaxial angular velocity sensor, or a 6-axis sensor.
  • the motion sensor 340 converts the detected movement of the mobile terminal 200 into digital measurement data, and outputs the measurement data to the arithmetic processing unit 320.
  • the movement of the mobile terminal 200 reflects the movement of the user (steps, speed, acceleration, etc.).
  • a device such as another sensor such as a heart rate monitoring device may be built in the mobile terminal 200 in order to provide different types of activity data.
  • the GPS device 350 is a position measurement system that measures the position of the mobile terminal 200, and acquires GPS data indicating the position of the mobile terminal 200.
  • the position of the mobile terminal 200 reflects the position of the user.
  • the GPS device 350 outputs the acquired GPS data to the arithmetic processing unit 320. Note that if GPS is not available, the position can be determined using cellular triangulation.
  • the mobile terminal 200 can record a plurality of motions of the user. For example, when the user performs an exercise without moving from the same place, such as when the user runs on a running machine, the arithmetic processing unit 320 of the mobile terminal 200, based on the measurement data from the exercise sensor 340, the number of steps of the user, The amount of exercise of the user is calculated by determining the speed and acceleration (pace). On the other hand, when the user runs outdoors and moves from one place to another, the arithmetic processing unit 320 of the mobile terminal 200 determines the moving speed and the moving time of the user based on the position data from the GPS device 350. Then, the amount of exercise of the user is calculated.
  • the speed and acceleration pace
  • the calculated exercise amount of the user is, for example, the calorie consumption amount due to exercise.
  • This information is stored in the storage unit 330.
  • a known method can be used to convert the exercise amount into the calorie consumption amount.
  • FIG. 3 is a block diagram showing the hardware configuration of wearable device 210.
  • the wearable device 210 includes a communication interface 400, a user interface 410, a calculation processing section 420, a storage section 430, a motion sensor 440, and a GPS device 450. These respective constituent elements 400 to 450 are similar to the corresponding constituent elements 300 to 350 of the mobile terminal 200, and here, the same reference numerals are allotted and detailed description thereof is omitted.
  • the wearable device 210 can change the contents of the constituent elements of the wearable device 210 depending on its type. For example, when the wearable device 210 is of a type associated with the mobile terminal 200, some of the components of the wearable device 210 can be omitted. For example, the display of the touch panel 411 and the GPS device 450 can be omitted.
  • FIG. 4 is a block diagram showing the hardware configuration of the server system 120.
  • the server system 120 includes a communication interface 510, an arithmetic processing unit 520, and a storage unit 530.
  • the communication interface 510 connects the server system 120 to the network 130.
  • the arithmetic processing unit 520 is composed of one or more processors, and is configured by a CPU, MPU, or the like.
  • the arithmetic processing unit 520 operates various functional units by executing the programs, modules and / or instructions stored in the storage unit 530 based on various inputs.
  • This program or the like is installed in a computer by being stored in a storage medium such as a CD-ROM or a USB memory, or by being downloaded via the network 130.
  • the storage unit 530 is configured by a storage device such as a hard disk drive, an SSD, and a RAM, and stores various programs necessary for execution of processing in the arithmetic processing unit 520, data necessary for execution of various programs, and the like.
  • the storage unit 530 may include a non-volatile memory, and the non-volatile memory includes a non-transitory computer-readable storage medium.
  • the storage unit 530 stores software (for example, a web browser or an application) for using the method related to the dementia risk evaluation executed by the server system 120.
  • the storage unit 530 also stores a subject DB 531, a brain atrophy site DB 532, and an advice DB 533.
  • the subject DB 531 stores the subject's age, sex, average daily exercise amount, dementia risk, estimated hippocampal volume, and brain image information in association with the subject ID.
  • the information stored in the subject DB 531 is data collected in advance from a huge number of subjects.
  • a subject with subject ID “1” is calculated to have an estimated hippocampus volume of 24 ml. This is calculated by taking a brain image of the subject by an apparatus such as MRI at a medical institution and performing image analysis.
  • the estimated hippocampal volume is recorded together with a plurality of brain images taken by the subject (see FIG. 6) used to calculate the estimated hippocampal volume.
  • the subject with subject ID “1” is recorded as having a “small” dementia risk.
  • the presence or absence of the onset of dementia and the degree of risk of the onset that are recorded are determined by a computer or a doctor from the captured brain image.
  • the information on the age, sex, and average daily exercise amount of the subject recorded is obtained from the subject's answer to the questionnaire, etc., and the information obtained by the mobile terminal or wearable device of the subject.
  • the subject DB 531 configured as described above is a data group in which exercise information and dementia risk are associated with each other, and is a data group in which exercise information, dementia risk, age and sex are associated with each other. It can be said that there is. Further, the subject DB 531 can be said to be a data group in which the movement information and the brain image are associated with each other.
  • the exercise information in the subject DB 531 may be an average exercise amount for a predetermined period (one week, two weeks, one month, etc.).
  • the brain atrophy site DB 532 stores information about the atrophy site in association with the atrophy site of the brain.
  • the information on the atrophy site of the brain is, for example, the function of the brain region in which the atrophy site is located, the brain symptoms caused by the atrophy site, and the future disease risk.
  • the advice DB 533 stores information related to lifestyle advice in association with a brain atrophy site.
  • Lifestyle advice can provide a wide range of advice such as exercise, interpersonal communication, intellectual curiosity, sleep, and eating habits.
  • the exercise advice is “Let's take a walk for about 30 minutes a day”.
  • an interpersonal communication advice is “Let's increase interacting, talking, eating or spending with people.”
  • the advice for intellectual curiosity is, "Enjoy your hobbies, read a book, write a diary / letter, touch the arts, learn new things at a cultural school, watch sports, Let's go on a trip and do cognitive training such as calculation.
  • the sleep advice is "Let's sleep for about 7 hours,” which is said to be ideal from the viewpoint of brain science.
  • Tips for eating habits include “Let's not overeat, breakfast should be rice rather than bread.” Note that which advice effectively works for which cerebral atrophy site is disclosed in "How to Make a” Lifelong Healthy Brain “You Can Do by Yourself” (Takarajimasha, First Edition, 2016).
  • the arithmetic processing unit 520 has, as various functional units, an acquisition unit 521, an evaluation unit 522, a brain image estimation unit 523, a brain atrophy site identification unit 524, an advice determination unit 525, and a provision unit. 526 is provided.
  • the acquisition unit 521 receives or acquires various information from the information communication terminal 110 via the communication interface 510.
  • the acquisition unit 521 acquires the user's exercise information, age information, and sex information from at least one of the mobile terminal 200 and the wearable device 210 by communication.
  • Various information acquired by the acquisition unit 521 is temporarily stored in the storage unit 530.
  • the evaluation unit 522 performs a statistical test mainly on multivariate analysis such as multiple regression analysis and a data group in which the movement information and the dementia risk are associated with the movement information acquired by the acquisition unit 521, and the dementia of the user. Assess the risk.
  • This data group is a subset of the data stored in the subject DB 531.
  • the reason why the dementia risk of the user can be evaluated by such a statistical test is that it has been found from recent research that there is a correlation between the amount of exercise and dementia.
  • the statistical test is performed by comparing the acquired exercise information of the user with a huge group of exercise information in the subject DB 531.
  • a test such as t-test, covariance analysis, multivariate analysis, or the like can be used. For example, by comparing the exercise information by t-test, the degree of exercise amount of each individual in the group is evaluated.
  • the exercise amount average calorie consumption amount average
  • the predetermined period is preferably one week or more. This is because using short-term data such as less than one week increases the possibility of a large error in the result when the user happens to have a small amount of exercise due to an event or illness.
  • the evaluation unit 522 evaluates the dementia risk of the user from the result of the statistical test. This evaluation may indicate the presence or absence of dementia risk, or may indicate the dementia risk score, for example.
  • the dementia risk score can be scaled, for example, in the range of 0 to 100% (1% or more is evaluated as having dementia risk).
  • the evaluation unit 522 considers at least one of the age information and the sex information acquired by the acquisition unit 521, and also considers a data group (exercise information, dementia risk, a subset of data including age and sex). ) And a statistical test, the user's dementia risk can also be evaluated. This is because, as described above, the subject DB 531 also correlates age and sex with exercise information and dementia risk.
  • the accuracy of the evaluation can be further increased.
  • covariance analysis with age and gender correction is used to assess the degree of individual exercise in a group.
  • the dementia risk evaluation result made by the evaluation unit 522 is temporarily stored in the storage unit 530.
  • the brain image estimation unit 523 estimates the brain image of the user based on the motion information acquired by the acquisition unit 521. This estimation can be performed using the subject DB 531 having a subset of data in which the movement information and the brain image are associated with each other. For example, since it is possible to formulate from the subject DB 531 what kind of brain image the person has when he / she has a certain amount of exercise, by applying the exercise information of the user acquired by the acquisition unit 521 to this, the user Brain images can be estimated.
  • the brain image estimation unit 523 generates data for visualizing the estimated brain image on the screen of at least one of the mobile terminal 200 and the wearable device 210 of the user.
  • the generated brain image data for visualization is temporarily stored in the storage unit 530.
  • the brain atrophy site identification unit 524 identifies a brain atrophy site associated with the dementia risk. For example, the brain atrophy site identification unit 524 identifies the brain atrophy site of the user by image analysis of the brain image estimated by the brain image estimation unit 523. The identification result by the brain atrophy site identifying unit 524 is temporarily stored in the storage unit 530.
  • the advice determination unit 525 determines lifestyle advice to the user based on the evaluation result of dementia risk. For example, when the evaluation unit 522 evaluates that there is no risk of dementia, general advice such as “Let's keep living as it is” can be determined. On the other hand, when the evaluation unit 522 evaluates that there is a dementia risk, the advice can be determined by referring to the advice DB 533 for the identification result by the brain atrophy site identification unit 524. As an example, if the brain atrophy site is identified as the prefrontal cortex, the advice is "Let's go out with more interest in various things. I think traveling is also good.” (See: Figure 8). This makes it possible to determine effective advice corresponding to the brain atrophy site.
  • the content of the advice by the advice determination unit 525 is changed based on the exercise information acquired by the acquisition unit 521, whether the risk of dementia is evaluated or the risk of dementia is evaluated. You can For example, when the acquired amount of exercise of the user is small, it can be urged to perform more exercise. Further, the content of the advice by the advice determination unit 525 can be changed according to the dementia risk score. For example, when the score is high (the risk of dementia is high), the amount of exercise to be advised (walking time, etc.) may be increased compared to when the score is low (the risk of dementia is low). Information on the advice determined by the advice determination unit 525 is temporarily stored in the storage unit 530.
  • the providing unit 526 provides at least one of the mobile terminal 200 and the wearable device 210 of the user with the result obtained by the evaluation unit 522, the brain image estimation unit 523, the brain atrophy region identification unit 524, and the advice determination unit 525.
  • the providing unit 526 transmits the evaluation result of dementia risk by the evaluation unit 522 to both or one of the mobile terminal 200 and the wearable device 210 of the user via the network 130.
  • Other data is similarly transmitted by the providing unit 526.
  • the estimated brain image of the user is visually displayed on the screens of the mobile terminal 200 and the wearable device 210 of the user (see, for example, FIGS. 9B, 9C, 10A, and 10B).
  • lifestyle advice is displayed on the screen (see, for example, FIGS.
  • the identified brain atrophy site may be expressed in a mode different from other regions of the brain (see, for example, FIGS. 9D, 9E, 10A, and 10B).
  • the identified cerebral atrophy site by setting an index that points to the location, or by coloring it differently from other parts of the brain, it is possible to represent it in a manner different from other parts of the brain. You can
  • the server system 120 is not particularly limited as long as it has the above functions, and may be cloud computing or the like.
  • the server system 120 may be divided into, for example, a computer for each functional unit of the arithmetic processing unit 520 and a computer for each database (531 to 533) of the storage unit 530. it can.
  • the computer can be divided for each functional unit of the arithmetic processing unit 520.
  • a computer for the acquisition unit 521 and the provision unit 526 which directly interfaces with the user
  • a computer for the evaluation unit 522, the brain image estimation unit 523, the brain atrophy region identification unit 524, and the advice determination unit 525 (Which acts as an intermediary between the former computer and the computer for the storage unit 530).
  • 9A to 9G show examples of screens displayed when the user uses the above dementia risk evaluation software.
  • the server system 120 acquires exercise information and the like from the user, evaluates the dementia risk described above, and is provided to the information communication terminal 110 of the user.
  • an example of a screen displayed on the mobile terminal 200 of the information communication terminal 110 of the user will be described here, the same applies to the case of being displayed on the wearable device 210.
  • FIG. 9A shows a screen (initial screen) after the evaluation result of dementia risk is provided from the server system 120.
  • a screen initial screen
  • four fields 810, 811, 812 and 813 that accept input from the user are displayed.
  • the user inputs (tap) any of the fields 810 to 813, the screen changes to the corresponding screen.
  • the fields 810 to 813 can be in the form of icons, boxes, links, or the like, for example.
  • FIG. 9B shows a screen displayed when the user taps the field 810 “your brain image”.
  • a plurality of sagittal sections of the brain image of the user estimated by the brain image estimation unit 523 are visually displayed.
  • a field 840 “View 3D stereoscopic image” is also displayed on this screen, and when the user taps this, the screen changes to the screen shown in FIG. 9C.
  • a body axis cross-sectional image 850 and a volume-rendered stereoscopic image 851 appear as the estimated brain image of the user.
  • a slide bar 852 is displayed near the body axis cross-section image 850.
  • the body axis cross-section image 850 corresponding to the vertical position of the slide bar 852 is displayed.
  • a slide bar 853 is displayed near the stereoscopic image 851. The user can change the angle of the stereoscopic image 851 by moving the slide bar 853 up and down.
  • FIG. 9D shows a screen displayed when the user taps the field 811 “your healthy brain level”.
  • This screen includes a field 861 showing the brain atrophy site 860 of the user identified by the brain atrophy site identifying unit 524 together with a brain image, and a field 863 showing information 862 about the brain atrophy site 860.
  • the display of the brain atrophy site 860 in the field 861 is in a different mode (coloring) from the other parts of the brain in order to differentiate it from other parts of the brain.
  • the screen changes to the screen shown in FIG. 9E.
  • a graph 871 is a normal distribution created based on the data of the subject (data in the subject DB531) shown in FIG. 5 for the volume of the brain region where the brain atrophy region 860 exists, and of the user having the brain atrophy region 860 therein. The position 873 is shown. This allows the user to visually understand the degree of atrophy of his / her brain in the group.
  • the data of the subject used to create the graph 871 may be data of the same age as the user, the same sex, or both.
  • FIG. 9F shows the screen that is displayed when the user taps the field 812 “View overall rating”.
  • This screen includes a field 880 showing the evaluation result of dementia risk by the evaluation unit 522 and a field 881 showing a brain image.
  • the field 880 is a region of the brain in which there is a site of brain atrophy related to dementia risk (here, “frontal lobe”) or comparison with the population. Explanations such as the result (here, "lower 20%”) are displayed.
  • the brain image shown in the field 881 can take various forms, for example, a stereoscopic image (stereoscopic image 851 shown in FIG.
  • the brain image in the field 881 may display the brain region or the brain atrophy region referred to in the field 880 in a mode (coloring) different from other regions.
  • FIG. 9G shows a screen displayed when the user taps the field 813 “view advice”.
  • This screen includes a field 890 indicating the advice determined by the advice determining unit 525 and a field 891 indicating a brain image.
  • the field 891 can be configured similarly to the field 881 described above.
  • 10A and 10B show another screen example displayed when the user uses the above dementia risk evaluation software.
  • an example of a screen displayed on the mobile terminal 200 of the information communication terminal 110 of the user will be described, but the same applies to the case of being displayed on the wearable device 210.
  • FIG. 10A shows another screen example displayed when the user taps the field 811 “your healthy brain level” in FIG. 9A.
  • This screen includes a field 901 showing the brain image 900, a field 902 showing the evaluation result of dementia risk, and a “Next” field 903.
  • the brain image 900 can take various forms like the brain image of FIG. 9F, but is a stereoscopic image here.
  • the brain image 900 displays the brain atrophy site of the user identified by the brain atrophy site identifying unit 524 in a mode (coloring) different from other regions.
  • a slide bar 905 and an index 906 indicating the degree of atrophy are displayed near the brain image 900. Similar to the slide bar 854 of FIG.
  • the slide bar 905 has a function of changing the angle of the brain image 900 by a vertical movement operation by the user.
  • the index 906 is composed of a bar and is used to indicate the degree of brain atrophy of the user by using, for example, a color difference or gray scale shading.
  • the brain atrophy site of the user specified by the brain atrophy site specifying unit 524 is the frontal lobe, and the frontal lobe or the brain atrophy site in the brain image 900 is represented by a color close to “large atrophy” in the index 906.
  • Other parts are shown in colorless.
  • the field 902 displays the same evaluation result as the evaluation result shown in the field 880 of FIG. 9F and the same brain atrophy site related information as the information shown in the field 863 of FIG. 9D (information about the frontal lobe which is the brain atrophy site).
  • FIG. 10B shows a screen displayed when the user taps the field 903 “Next” on the screen shown in FIG. 10A.
  • a field 910 showing advice on lifestyle is displayed instead of the field 902 shown in FIG. 10A.
  • Field 910 can be configured similar to field 890 shown in FIG. 9G.
  • the above screen is provided to the user.
  • the user records the daily amount of exercise in at least one of the mobile terminal 200 and the wearable device 210, so that the user can obtain the evaluation result of his / her dementia risk through at least one of the mobile terminal 200 and the wearable device 210. I can know. Therefore, the user does not have to go to the hospital to take a brain image.
  • the user also receives advice on lifestyle habits, estimated brain images of himself / herself, the brain atrophy site related to the risk of dementia, and the like on the mobile terminal 200 and the mobile terminal 200. It can be known through at least one of the wearable devices 210.
  • FIG. 11 is a flowchart showing an example of processing in the information communication terminal 110 of the user.
  • Software for using the dementia risk evaluation provided by the server system 120 is installed in the information communication terminal 110.
  • the information communication terminal 110 is communicatively connected to the server system 120 via the network 130.
  • the information communication terminal 110 acquires the exercise information of the user by using the device mounted on the information communication terminal 110 (step S1000).
  • This device is, for example, the motion sensor 340 and the GPS device 350 of the mobile terminal 200, or the motion sensor 440 and the GPS device 450 of the wearable device 210.
  • the user's exercise information is a quantified amount of the user's exercise during a predetermined period of the user (one day, one week, two weeks, one month, etc.), and is, for example, calorie consumption by the user's exercise.
  • the information communication terminal 110 acquires age information and sex information of the user (step S1001).
  • the information communication terminal 110 transmits the acquired exercise information from the information communication terminal 110 to the server system 120 (step S1010).
  • the server system 120 performs a statistical test on the transmitted exercise information and a data group (see FIG. 5) in which the exercise information is associated with the dementia risk, and evaluates the dementia risk of the user.
  • the server system 120 evaluates the dementia risk of the user also based on these information. To be done.
  • the information communication terminal 110 receives the dementia risk evaluation result from the server system 120 (step S1020). As a result, the dementia risk evaluation result is displayed on the screen of the information communication terminal 110.
  • the information communication terminal 110 receives the lifestyle advice, the estimated brain image of itself, and the information about the brain atrophy site related to the dementia risk from the server system 120, and these are displayed on the screen ( Step S1021).
  • FIG. 12 is a flowchart showing an example of processing in the server system 120.
  • Software for using the dementia risk assessment provided by the server system 120 is installed in the server system 120.
  • the server system 120 acquires the exercise information of the user by communicating with the information communication terminal 110 of the user via the network 130 (step S1100). This step is performed after step S1010 in FIG.
  • the server system 120 performs a statistical test on the acquired exercise information with a data group (see FIG. 5) in which the exercise information and the dementia risk are associated with each other, and evaluates the dementia risk of the user (step. S1110).
  • the server system 120 has also acquired at least one of the user's age information and sex information together with the user's exercise information (step S1101)
  • the data group is also based on at least one of the user's age information and sex information. (Reference: FIG. 5) and a statistical test are performed and a dementia risk of a user is evaluated (step S1111).
  • the server system 120 estimates the brain image of the user based on the acquired exercise information, and generates data for visualizing the estimated brain image on the screen of the information communication terminal 110 (step S1120). ).
  • the exercise amount average calorie consumption average
  • the server system 120 also determines lifestyle advice to the user based on the dementia risk evaluation result (step S1130). At this time, the server system 120 may determine lifestyle advice based on the acquired exercise information (step S1131).
  • the server system 120 identifies a brain atrophy site related to the dementia risk (step S1140).
  • the server system 120 provides the information communication terminal 110 of the user with the evaluation result of the dementia risk (step S1150). Further, the server system 120 provides the information communication terminal 110 with the estimated brain image of the user, advice on the determined lifestyle, and information on the specified brain atrophy site (steps S1151, S1152, S1153). The identified brain atrophy region is displayed on the screen of the information communication terminal 110 in a manner different from other regions of the brain.
  • the user can easily know the dementia risk and can contribute to the prevention of dementia.
  • step S1001 and the like are for facilitating the understanding of the present invention, and are not for limiting the interpretation of the present invention.
  • Each element included in the embodiment and the arrangement, conditions, shape, size, and the like thereof are not limited to those illustrated, but can be appropriately changed.
  • one or more of the processes (step S1001 and the like) indicated by the dotted frame in FIGS. 11 and 12 may be omitted as appropriate.

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  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

L'invention concerne un procédé destiné à être mis en oeuvre par un système serveur 120, comprenant : (1) d'acquérir des informations d'exercice d'un utilisateur en communiquant avec un terminal de communication d'informations 110 de l'utilisateur par l'intermédiaire d'un réseau 130 ; (2) d'évaluer le risque de démence de l'utilisateur en effectuant un test statistique sur les informations d'exercice acquises par rapport à un groupe de données dans lequel des informations d'exercice et un risque de démence sont associés ; et (3) de fournir un résultat d'évaluation de risque de démence au terminal de communication d'informations 110.
PCT/JP2018/041701 2018-11-09 2018-11-09 Système serveur, et procédé et programme destinés à être mis en oeuvre par un système serveur WO2020095446A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7391782B2 (ja) 2020-06-25 2023-12-05 Ｆｃｎｔ株式会社 携帯端末、情報処理方法及び情報処理プログラム

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JP2015527909A (ja) * 2012-07-10 2015-09-24 アイマゴ ソシエテ アノニムＡｉｍａｇｏ Ｓ．Ａ． 灌流評価マルチモダリティ光学医用デバイス
WO2016047683A1 (fr) * 2014-09-25 2016-03-31 大日本印刷株式会社 Procédé et dispositif de traitement d'affichage d'images médicales et programme
JP2016161215A (ja) * 2015-03-02 2016-09-05 ダイキン工業株式会社 空調システム
JP2017211867A (ja) * 2016-05-26 2017-11-30 エネルギー需要開発協同組合 情報処理装置及び情報処理方法
JP2018029706A (ja) * 2016-08-23 2018-03-01 株式会社デジタル・スタンダード 端末装置、評価システム、およびプログラム

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Publication number Priority date Publication date Assignee Title
JP2015527909A (ja) * 2012-07-10 2015-09-24 アイマゴ ソシエテ アノニムＡｉｍａｇｏ Ｓ．Ａ． 灌流評価マルチモダリティ光学医用デバイス
WO2016047683A1 (fr) * 2014-09-25 2016-03-31 大日本印刷株式会社 Procédé et dispositif de traitement d'affichage d'images médicales et programme
JP2016161215A (ja) * 2015-03-02 2016-09-05 ダイキン工業株式会社 空調システム
JP2017211867A (ja) * 2016-05-26 2017-11-30 エネルギー需要開発協同組合 情報処理装置及び情報処理方法
JP2018029706A (ja) * 2016-08-23 2018-03-01 株式会社デジタル・スタンダード 端末装置、評価システム、およびプログラム

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7391782B2 (ja) 2020-06-25 2023-12-05 Ｆｃｎｔ株式会社 携帯端末、情報処理方法及び情報処理プログラム

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