WO2023026785A1 - Programme, dispositif de traitement d'informations, et procédé de traitement d'informations - Google Patents

Programme, dispositif de traitement d'informations, et procédé de traitement d'informations Download PDF

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Publication number
WO2023026785A1
WO2023026785A1 PCT/JP2022/029579 JP2022029579W WO2023026785A1 WO 2023026785 A1 WO2023026785 A1 WO 2023026785A1 JP 2022029579 W JP2022029579 W JP 2022029579W WO 2023026785 A1 WO2023026785 A1 WO 2023026785A1
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WO
WIPO (PCT)
Prior art keywords
user
data
ventilation
subject
input data
Prior art date
Application number
PCT/JP2022/029579
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English (en)
Japanese (ja)
Inventor
一裕 寺嶋
Original Assignee
株式会社CaTe
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 株式会社CaTe filed Critical 株式会社CaTe
Priority to JP2023509559A priority Critical patent/JP7356666B2/ja
Publication of WO2023026785A1 publication Critical patent/WO2023026785A1/fr
Priority to JP2023147874A priority patent/JP2023160961A/ja

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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
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • 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
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Definitions

  • the CPX test has problems such as placing a large physical burden on the person being tested, and the fact that the testing equipment is expensive and the facilities where it can be performed are limited. In addition, it is not comfortable for the test subject to wear an exhalation mask, which is required for exhaled gas analysis, which is essential for the CPX examination.
  • FIG. 1 is a block diagram showing the configuration of an information processing system according to an embodiment
  • FIG. It is a block diagram showing the configuration of the client device of the present embodiment. It is a block diagram which shows the structure of the server of this embodiment.
  • FIG. 1 is an explanatory diagram of the outline of this embodiment; It is a figure which shows the data structure of the teacher data set of this embodiment. 4 is a flowchart of information processing according to the embodiment; It is a figure which shows the example of a screen displayed in the information processing of this embodiment.
  • FIG. 10 is a diagram showing the data structure of a teacher data set of modification 1;
  • the camera 16 of the client device 10 captures the appearance (for example, the whole body) of the user US1.
  • the example of FIG. 4 shows an example in which the user US1 exercises by bicycle, the user US1 can perform any exercise (aerobic exercise or anaerobic exercise). Alternatively, the camera 16 may photograph the user US1 before or after exercise (including at rest).
  • Input data is the data that is input to the target model during training or evaluation.
  • the input data correspond to the examples used when training or evaluating the target model.
  • the input data includes skeletal data of the subject.
  • the skeletal data of the subject is data (for example, feature amount) relating to the skeletal structure of the subject at the time of shooting the moving image of the subject.
  • the subject may be the same person as the user whose ventilation index associated with respiratory motion is estimated during operation of the information processing system 1, or may be a different person.
  • the target model may learn the user's individuality and the estimation accuracy may be improved.
  • allowing the subject to be a different person from the user has the advantage of facilitating enrichment of the teacher data set.
  • the subjects may be composed of multiple people including the user or multiple people not including the user.
  • the input data to which the estimation model is applied may include data (that is, user depth data) regarding the depth from the reference point (that is, depth sensor 17) to each part of the user when shooting the user's video. Thereby, the estimation accuracy of the ventilation index can be improved.
  • Modification 1 will be described. Modification 1 is an example of modifying the input data for the estimation model.
  • the client device 10 acquires data regarding the user's health condition (hereinafter referred to as "user health condition data").
  • user health condition data data regarding the user's health condition
  • the client device 10 may acquire user health condition data based on an operation (report) by the user or the doctor in charge, or extract information linked to the user in the medical information system.
  • User health data may be acquired, or user health data may be acquired via a user's app (for example, a healthcare app).
  • the client device 10 may acquire user health condition data at a timing different from step S111 (for example, before step S110, at the same timing as step S110, or after step S111).
  • the client device 10 executes the request (S112). Specifically, the client device 10 refers to the data acquired in step S111 and generates a request. The client device 10 transmits the generated request to the server 30 .
  • the request can include, for example, at least one of the following. - Data acquired in step S111 (for example, user video data, user depth data, or user health data) ⁇ Data obtained by processing the data obtained in step S111 ⁇ User skeleton data obtained by analyzing the user moving image data (or user moving image data and user depth data) obtained in step S111
  • an example of shooting a user video using the camera 16 of the client device 10 has been shown.
  • the user moving image may be shot using a camera other than camera 16 .
  • An example of measuring the user depth using the depth sensor 17 of the client device 10 has been shown.
  • the user depth may be measured using a depth sensor other than depth sensor 17 .
  • acceleration data can be used as part of the input data for the estimation model.
  • the user's skeleton may be analyzed with reference to acceleration data.
  • Acceleration data can be obtained, for example, by having the user carry or wear the client device 10 or wearable device equipped with an acceleration sensor when shooting a user moving image.
  • Oxygen saturation data can be obtained, for example, by having the user wear a wearable device equipped with a sensor (for example, an optical sensor) capable of measuring the blood oxygen concentration or a pulse oximeter when shooting a user video.
  • Oxygen saturation data may be estimated, for example, by performing rPPG (Remote Photo-plethysmography) analysis on user video data.
  • rPPG Remote Photo-plethysmography

Abstract

Un programme selon un mode de réalisation de la présente divulgation amène un ordinateur à fonctionner comme : un moyen pour acquérir une vidéo d'utilisateur capturant l'apparence de l'utilisateur; et un moyen pour exécuter une estimation associée à un indice de ventilation associé à des exercices respiratoires effectués par l'utilisateur, une telle estimation étant exécutée par l'application d'un modèle d'estimation à des données d'entrée sur la base de la vidéo d'utilisateur.
PCT/JP2022/029579 2021-08-26 2022-08-02 Programme, dispositif de traitement d'informations, et procédé de traitement d'informations WO2023026785A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2023509559A JP7356666B2 (ja) 2021-08-26 2022-08-02 プログラム、情報処理装置、および情報処理方法
JP2023147874A JP2023160961A (ja) 2021-08-26 2023-09-12 プログラム、情報処理装置、および情報処理方法

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2021-137935 2021-08-26
JP2021137935 2021-08-26

Publications (1)

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WO2023026785A1 true WO2023026785A1 (fr) 2023-03-02

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PCT/JP2022/029579 WO2023026785A1 (fr) 2021-08-26 2022-08-02 Programme, dispositif de traitement d'informations, et procédé de traitement d'informations

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JP (2) JP7356666B2 (fr)
WO (1) WO2023026785A1 (fr)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017217298A (ja) * 2016-06-09 2017-12-14 青木　広宙 非接触呼吸測定装置及び非接触呼吸測定方法

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6014846B2 (ja) 2012-07-24 2016-10-26 公立大学法人広島市立大学 呼吸計測方法および装置

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017217298A (ja) * 2016-06-09 2017-12-14 青木　広宙 非接触呼吸測定装置及び非接触呼吸測定方法

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JP7356666B2 (ja) 2023-10-05
JP2023160961A (ja) 2023-11-02
JPWO2023026785A1 (fr) 2023-03-02

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