WO2022139031A1 - Système d'apprentissage de diagnostic de rééducation et procédé d'apprentissage de diagnostic de rééducation - Google Patents

Système d'apprentissage de diagnostic de rééducation et procédé d'apprentissage de diagnostic de rééducation Download PDF

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WO2022139031A1
WO2022139031A1 PCT/KR2020/019001 KR2020019001W WO2022139031A1 WO 2022139031 A1 WO2022139031 A1 WO 2022139031A1 KR 2020019001 W KR2020019001 W KR 2020019001W WO 2022139031 A1 WO2022139031 A1 WO 2022139031A1
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user
training
diagnosis
unit
self
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PCT/KR2020/019001
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English (en)
Korean (ko)
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정호춘
이현희
이상세
김명춘
이은지
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주식회사 싸이버메딕
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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
    • A61B5/103—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
    • A61B5/1124—Determining motor skills
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • 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
    • A61B5/1036—Measuring load distribution, e.g. podologic studies
    • A61B5/1038—Measuring plantar pressure during gait
    • 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
    • A61B5/112—Gait analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/486—Bio-feedback
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • 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
    • 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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/09—Rehabilitation or training

Definitions

  • the present invention relates to a rehabilitation diagnosis training system and a rehabilitation diagnosis training method, and in particular, self-measurement, diagnosis, and suspicion of symptoms of a user requiring rehabilitation training, and self-rehabilitation training according to the determined symptom level. It relates to a rehabilitation diagnosis training system and a rehabilitation diagnosis training method that can induce or provide precise diagnosis and more effective rehabilitation treatment services through experts.
  • Rehabilitation treatment refers to a series of treatment processes that are performed for functional recovery of the damaged area after receiving clinical treatment for damage to a body part due to disease, accident, disaster, etc. And, in particular, the use of exercise therapy among rehabilitation treatments is called rehabilitation training.
  • Republic of Korea Patent Publication No. 1567859 discloses a 'rehabilitation exercise system using user's motion' that performs rehabilitation exercise while displaying the motion of the human body using a body-attached sensor.
  • An object of the present invention is to solve the problems of the prior art, to determine self-measurement, diagnosis, and suspected symptoms for the symptoms of users who require rehabilitation training, and induce self-rehabilitation training according to the determined symptom level or through experts
  • An object of the present invention is to provide a rehabilitation diagnosis training system and a rehabilitation diagnosis training method capable of providing precise diagnosis and more effective rehabilitation treatment services.
  • a rehabilitation diagnosis training system includes a diagnosis unit for measuring a user's condition; A self-training module for inducing self-training while providing self-training contents to a user, a specialized training module for guiding professional training while providing professional training contents to a user, and the user's status information measured from the diagnosis unit a user terminal having a control unit for controlling the self-training module or the specialized training module; a management server for storing and managing the user's status information diagnosed by the diagnosis unit, the user's self-training information performed through the self-training module, and the user's specialized training information performed through the specialized training module; and an expert terminal for setting a diagnosis list of the diagnosis unit or setting the specialized training contents based on the user's state information stored in the management server.
  • control unit compares the user's state information measured by the diagnosis unit with preset reference information, and selects any one of a self-training mode and a specialized training mode according to the symptom level.
  • a mode determination unit for setting one mode may be provided, and a signal for precise diagnosis of the user may be transmitted to the management server or the expert terminal in the specialized training mode.
  • the expert terminal resets the diagnosis list of the diagnosis unit based on the user's state information stored in the management server, or resets the specialized training contents provided to the user.
  • the diagnosis unit may include a gait diagnosis unit for measuring the user's gait.
  • the gait posture diagnosis unit may include a vision sensor unit for photographing a gait image of a user walking in a set walking section, and a pressure sensor unit for measuring pressure transmitted from the sole of the user while walking.
  • control unit may display preset reference information, image information photographed from the vision sensor unit, and pressure information measured from the pressure sensor unit on the display unit. In this case, when the image information and the pressure information deviate from the tolerance set from the reference information, the user may be notified through the display unit.
  • the pressure sensor unit may be provided on left and right insoles of shoes worn by pedestrians, respectively.
  • the pressure sensor unit is a plurality of pressure sensors for measuring the unit pressure applied to a plurality of regions partitioned in the front and rear and left and right directions of each of the insoles, and amplifying the pressure signal measured from each of the pressure sensors It may include a unit, a noise filter unit for filtering the remaining signals except for valid signals of the amplified pressure signal, and a communication unit for transmitting the filtered pressure signal to the user terminal or the management server.
  • a rehabilitation diagnosis training method includes: a state information measuring step of measuring a user's state using a diagnosis unit; A training mode setting step of setting a self-training mode or a specialized training mode based on the measured state information of the user; Self-training performing step of inducing self-training while providing self-training contents to the user in the self-training mode; a precise diagnosis requesting step of requesting an expert's precise diagnosis for the user's state information in the specialized training mode; a precise diagnosis performing step of precisely diagnosing the user's condition using the diagnosis unit; And, it is characterized in that it includes; a professional training execution step of inducing specialized training while providing professional training contents to the user based on the precisely diagnosed user's precise diagnosis information.
  • the diagnosis unit includes a vision sensor unit for photographing a user's gait image, and a pressure sensor unit for measuring pressure transmitted from the sole of the user while walking It may include a gait posture diagnosis unit, and in this case, the self-training performing step or the specialized training performing step extracts joint positions by time from the gait image taken from the vision sensor unit, and displays the extracted joint positions by time on the display unit can be displayed, and by extracting the pressure distribution by time from the pressure value measured from the pressure sensor unit, the extracted pressure distribution by time can be displayed on the display unit, and in this case, the joint position by time and the pressure distribution by time are When a tolerance set from preset reference information is exceeded, a user or an expert may be notified through the display unit.
  • the user can not only perform self-measurement and self-diagnosis without a specialized hospital, but also perform self-rehabilitation training for suspected symptoms. can be done effectively.
  • FIG. 1 is a block diagram illustrating a rehabilitation diagnosis training system according to an embodiment of the present invention.
  • FIG. 2 is an exemplary view showing a gait diagnosis unit according to an embodiment of the present invention.
  • FIG. 3 is an exemplary view showing a pressure sensor unit of the gait posture diagnosis unit of FIG. 2 .
  • FIG 4 is an exemplary view showing image information of a pedestrian displayed through the display unit according to the present invention.
  • FIG 5 is an exemplary view showing pedestrian pressure information displayed through the display unit according to the present invention.
  • FIG. 6 is a flowchart illustrating a rehabilitation diagnosis training method according to an embodiment of the present invention.
  • FIG. 1 is a block diagram illustrating a rehabilitation diagnosis training system according to an embodiment of the present invention.
  • a rehabilitation diagnosis training system may include a diagnosis unit 100 , a user terminal 200 , a management server 300 , and an expert terminal 400 .
  • the diagnosis unit 100 may measure and diagnose the user's condition.
  • the diagnosis unit 100 may measure the user's daily life motions and use the measured motion information to diagnose whether there is an abnormality in the human body.
  • the diagnosis unit 100 may include a plurality of diagnosis units to be diagnosed.
  • the diagnosis unit 100 may measure and diagnose an incorrect gait posture of the user by using the gait posture diagnosis unit 110 .
  • diagnosis unit 100 may measure and diagnose the posture of a sitting or standing user using the static posture diagnosis unit 120 .
  • diagnosis unit 100 may measure and diagnose whether the user's neurocognitive function is abnormal by using the neurocognitive function diagnosis unit 130 .
  • the gait posture diagnosis unit 110 and the neurocognitive function diagnosis unit 130 are performed together for the same user, the user's state information can be measured and diagnosed more accurately.
  • the user's state information measured and diagnosed by the diagnosis unit 100 may be uploaded and stored in the user terminal 200 or the management server 300 .
  • the user terminal 200 may include a display unit for displaying user status information measured through the diagnosis unit 100 and various training contents, and may include an input unit for adjusting and setting contents displayed through the display unit. .
  • the user terminal 200 may include a communication unit for wired/wireless communication with the diagnosis unit 100 , the management server 300 , and the expert terminal 400 .
  • a user or a treatment assistant possessing the user terminal 200 may access the diagnosis unit 100 , the management server 300 , and the expert terminal 400 by inputting login information corresponding to personal identification information.
  • necessary information may be downloaded or uploaded from the diagnosis unit 100 , the management server 300 , and the expert terminals 400 .
  • the user terminal 200 may be a display unit provided in the diagnosis unit 100 .
  • a mobile phone or tablet owned by the user may be used separately from the display unit provided in the diagnosis unit 100 , and a wearable device such as a smart watch may be used.
  • the user terminal 200 may further include a self-training module 210 , a specialized training module 220 , and a control unit 230 .
  • the self-training module 210 may include a self-training content storage unit.
  • the self-training module 210 provides the self-training content stored in the self-training content storage unit to the user through the display unit provided in the diagnosis unit 100 or the user terminal 200 according to the signal of the control unit 230 . It can induce the user's self-training.
  • the self-training content may be an image corresponding to reference information, that is, state information of a normal person.
  • various contents images in the form of 2D or 3D simulating daily life may be stored in order to stimulate the interest of the user, and these contents images are transmitted through the display unit of the diagnosis unit 100 or the user terminal 200 . may be provided to the user.
  • the user can self-diagnose an inaccurate operation state based on the self-training content displayed on the display unit, and self-correct the operation to match the displayed self-training content.
  • the user's self-training information through the self-training module 210 may be uploaded and stored in the management server 300 .
  • the specialized training module 220 may include a specialized training content storage unit.
  • the specialized training module 220 provides the user with the specialized training contents stored in the specialized training contents storage unit through the display unit provided in the diagnosis unit 100 or the user terminal 200 according to the signal of the control unit 230 . It can induce professional training of users.
  • the professional training content may be an image different from the self-training content corresponding to the reference information.
  • the user can precisely diagnose an inaccurate operation state by himself/herself based on the specialized training contents displayed on the display unit, and may correct the operation more precisely in accordance with the displayed specialized training contents.
  • the user's specialized training information through the specialized training module 220 may be uploaded and stored in the management server 300 .
  • the controller 230 may control the self-training module 210 or the specialized training module 220 based on the user's state information measured from the diagnosis unit 100 .
  • the control unit 230 may include a training mode determining unit.
  • the training mode determining unit may set any one of the self-training mode and the specialized training mode by comparing the user's state information measured by the diagnosis unit 100 with preset reference information.
  • the reference information corresponds to state information of a normal person, and may be, for example, information corresponding to a neurocognitive function, a static posture, and a gait posture of a normal person.
  • the training mode determining unit may determine whether to perform self-training or specialized training according to the user's symptom level measured by the diagnosis unit 100 .
  • the self-training module 210 is controlled to perform self-training of the user using the diagnosis unit 100
  • the self-training module 220 is controlled to control the diagnosis unit ( 100) can be used for professional training of users.
  • control unit 230 may further include a notification unit.
  • the notification unit may notify the user through the display unit provided in the diagnosis unit 100 or the user terminal 200 when the state information of the user measured by the diagnosis unit 100 and the preset reference information are out of the set tolerance range. have.
  • the management server 300 stores and manages the state information of the user diagnosed by the diagnosis unit 100, the user's self-training information performed through the self-training module, and the user's professional training information performed through the specialized training module.
  • Users and experts who have the user terminal 200 and the expert terminal 400 may access the management server 300 by inputting individual login information. And the user's state information and precise diagnosis information obtained through the diagnosis unit 100, the self-training history information obtained through the self-training module 210, and the professional training history information obtained through the specialized training module 220 are It may be stored in a batch in the management server 300. In addition, the information stored in the management server 300 is viewed, shared and managed by a user or an expert in a login state through the user terminal 200 or the expert terminal 400. can
  • the expert terminal 400 may include a display unit for checking user status information and training history stored in the management server 300 , and may include an input unit for operation.
  • the expert terminal 400 may include a communication unit for wired/wireless communication with the diagnosis unit 100 , the management server 300 , and the user terminal 200 .
  • the expert who has the expert terminal 400 can access the management server 300 by inputting log-in information, can download or upload related information stored in the management server 300, and edit the related information, such as history information can manage
  • the expert terminal 400 a computer, mobile phone, tablet, etc. owned by the expert may be used.
  • the expert terminal 400 may include a diagnosis list setting unit and a specialized training content setting unit.
  • the diagnosis list setting unit may set a diagnosis list of a user using the diagnosis unit 100 .
  • the expert having the expert terminal 400 analyzes the previously measured state information of the user, and the diagnosis unit ( 100) can be reset, and a detailed diagnosis of the user's state information can be requested according to the reset diagnosis list.
  • the user's state information can be measured and diagnosed more precisely by using the diagnosis unit 100 in which the diagnosis list is reset, and the precisely diagnosed user's detailed diagnosis information is re-uploaded to the management server 300 . can be saved.
  • the specialized training contents setting unit may set the specialized training contents stored in the specialized training contents storage unit.
  • the expert who has the expert terminal 400 precisely analyzes the user's status information based on the user's precise diagnosis information that is re-uploaded to the management server 300 and stored, and based on this, the expert training stored in the specialized training content storage unit You can set the content.
  • the user can perform specialized training by using the specialized training contents output to the display unit of the diagnosis unit 100 or the user terminal 200 .
  • the gait diagnosis unit 110 may measure the gait posture of the user and diagnose the user's inaccurate gait posture using the measured gait state information.
  • FIG. 2 is an exemplary view showing a gait diagnosis unit according to an embodiment of the present invention.
  • the gait posture diagnosis unit 110 may include a vision sensor unit 111 and a pressure sensor unit 112 .
  • the vision sensor unit 111 may photograph the walking posture of the pedestrian, and may acquire the pedestrian's joint position and walking speed by time from the captured image.
  • the user may set to photograph the actual gait after performing gait practice for a predetermined time before photographing through the vision sensor unit 111 .
  • the vision sensor unit 111 may be installed to photograph a user walking in a reciprocal manner in a set walking section.
  • a stereo camera a ToF sensor, a laser sensor, an ultrasonic sensor, or the like may be used.
  • various vision sensors may be used.
  • the pressure sensor unit 112 may measure the pressure transmitted from the sole of the walking user.
  • FIG. 3 is an exemplary view showing a pressure sensor unit of the gait posture diagnosis unit of FIG. 2 .
  • the pressure sensor unit 112 may be mounted on a pedestrian, and may be provided on the left and right insoles 113 of the shoe.
  • the pressure sensor unit 112 provided in the insole 113 includes a pressure sensor 114 , a multiplexer 115 , an amplifier 116 , a noise filter 117 , a signal conversion unit 118 , and a communication unit 119 . ) may be included.
  • a plurality of pressure sensors 114 may be provided in the insole 113 , and may independently measure unit pressure applied to a plurality of regions partitioned in the front-rear direction and left-right direction of the insole 113 .
  • the multiplexer 115 may transmit a plurality of pressure signals received from the pressure sensor 114 as one pressure signal.
  • the amplifying unit 116 may collect and amplify the pressure signals measured from the plurality of pressure sensors 114 .
  • the noise filter 117 may filter and remove the remaining signals except for valid signals among the pressure signals amplified by the amplifier 116 .
  • the signal conversion unit 118 may convert the analog pressure signal filtered by the noise filter 117 into a digital pressure signal.
  • the communication unit 119 may transmit the pressure signal converted into a digital signal to the user terminal 200 or the management server 300 .
  • the gait diagnosis unit 110 may include a display unit, and the display unit may display the user's gait information measured through the vision sensor unit 111 and the pressure sensor unit 112 in real time.
  • control unit 230 may further include an image processing unit.
  • the image processing unit may process the image captured by the vision sensor unit 111, remove unnecessary images, and clearly extract only joint positions directly related to the user's walking posture.
  • the image processing unit may extract a skeleton image from the image captured by the vision sensor unit 111 , and the skeleton image thus extracted is the display unit of the user terminal 200 or the gait diagnosis unit 110 . can be output in real time. Then, the user or the therapist can more intuitively and accurately diagnose the user's walking posture from the output skeleton image.
  • control unit 230 may further include a pressure signal processing unit.
  • the pressure signal processing unit may process the pressure signal measured from the pressure sensor unit 112 and output it as various output values through the display unit of the user terminal 200 or the gait posture diagnosis unit 110 .
  • FIG 5 is an exemplary view showing various output information of a pedestrian plantar pressure displayed through the display unit according to the present invention.
  • FIG. 5 (a) is a diagram showing the pressure intensity P according to the flow of time (T) measured in the left insole 113a and the right insole 113b.
  • 5 (b) is an image showing the pressure distribution (P) of the plantar pressure according to the flow of time (T) measured in the left insole 113a and the right insole 113b.
  • 5 (c) is an image showing the center of pressure (COP) of the plantar pressure according to the flow of time (T) measured in the left insole 113a and the right insole 113b.
  • 5 (d) is an image showing the pressure distribution of plantar pressure according to the flow of time (T) measured in the left insole 113a and the right insole 113b by numerical values for each zone.
  • the user's gait information measured through the gait diagnosis unit 110 is displayed in real time through the display unit of the gait diagnosis unit 110 or the user terminal 200, and at the same time the management server 300 can be uploaded and stored in
  • preset reference information may be displayed together with image information and pressure information through the display unit of the gait diagnosis unit 110 or the user terminal 200 .
  • the controller 230 may display the image information or pressure information exceeding the allowable error by turning on or changing the display color. Accordingly, the user can more quickly and easily check and diagnose the error value of the gait motion.
  • the training mode determining unit of the controller 230 compares the user's gait information measured by the gait diagnosis unit 110 with preset reference information, and when the user's gait information and the reference information exist within the set tolerance range, It is possible to set the self-training mode and operate the self-training module 210 .
  • the user's gait information may be displayed in real time through the display unit of the gait posture diagnosis unit 110 or the user terminal 200, and self-training contents may be displayed together therewith.
  • the displayed self-training content may correspond to reference information for guiding the user's gait, that is, an image corresponding to a normal walking posture.
  • the user can self-diagnose their gait from the difference between the self-training content displayed on the display unit and the actual gait motion image, and self-corrects the gait posture while matching the self-training content and the actual gait motion image with each other. can do.
  • the training mode determination unit of the controller 230 compares the user's gait information measured by the gait diagnosis unit 110 with preset reference information, and when the user's gait information and the reference information exceed the set tolerance range To set the professional training mode, it is possible to operate the specialized training module 220.
  • control unit 230 may transmit a signal for precise diagnosis of the user to the management server 300 or the expert terminal 400 before performing the specialized training.
  • the expert who has the expert terminal 400 is a diagnosis list of the gait diagnosis unit 110 based on the user's gait information measured previously. can be newly set, and precise measurement and diagnosis of the user's status information can be requested according to the newly set diagnosis list.
  • the user's gait information is precisely diagnosed again using the gait diagnosis unit 110 in which the new diagnosis list is set, and the newly diagnosed precise diagnosis information of the user can be re-uploaded and stored in the management server 300 . .
  • the expert with the expert terminal 400 precisely analyzes the user's gait information based on the user's precise diagnosis information re-uploaded to the management server 300, and based on this, the expert Saved professional training contents can be set.
  • the professional training content may be an image different from the self-training content, and the difficulty of the specialized training content may be set differently according to the symptom level of the user newly precisely diagnosed from the precise diagnosis information.
  • the professional training contents unlike the reference information corresponding to the normal walking posture, can be provided to the user with various contents images in the form of 2D or 3D that can induce the walking motion of the user who is relatively severe.
  • the user can perform specialized training by using the specialized training contents output from the display unit of the diagnosis unit 100 or the user terminal 200 .
  • FIG. 6 is a flowchart illustrating a rehabilitation diagnosis training method according to an embodiment of the present invention.
  • the rehabilitation diagnosis training method includes a state information measurement step (S110), a training mode setting step (S120), a self-training step (S130), a detailed diagnosis request step (S140), and a precision diagnosis It may include a step (S150), and a professional training execution step (S160).
  • the state information measuring step S110 may be a step of measuring the user's state using the diagnosis unit.
  • the user's status information may be generated by measuring the user's daily life activities through the diagnosis unit 100 .
  • the user's state information measured and generated in this way is uploaded and stored in the user terminal 200 or the management server 300 .
  • the case of measuring the user's gait information using the gait diagnosis unit 110 will be described as follows.
  • a user walking in the walking section set through the vision sensor unit 111 is photographed, and at the same time, the pressure transmitted from the user walking in the walking section set by the pressure sensor unit 112 is measured.
  • the photographed gait image can be extracted through the image processing unit of the controller 230, the joint position image according to the passage of time having a skeleton image form as shown in FIG. 110 or the display unit of the user terminal 200 may be displayed in real time.
  • various output information of plantar pressure according to the passage of time as in FIG. 5 can be extracted through the pressure signal processing unit of the controller 230, and the output information of the extracted plantar pressure in this way is the gait posture. It may be displayed in real time on the display unit of the diagnosis unit 110 or the user terminal 200 .
  • preset reference information that is, gait information of a normal person
  • gait information of a normal person may be displayed together with the joint position by time and pressure distribution by time on the display unit. Due to this, a user or an expert can easily identify the user's incorrect gait posture.
  • the training mode setting step S120 may be a step of setting a self-training mode or a specialized training mode based on the user's state information.
  • any one of the self-training mode and the specialized training mode can be set.
  • the self-training mode may be set by judging it as a relatively mild symptom.
  • the user's gait information and the reference information exceed the set tolerance range, it is determined as a relatively severe symptom and a specialized training mode may be set.
  • the self-training performing step (S130) may be a step of inducing self-training while providing self-training contents to the user in the self-training mode.
  • the self-training module 210 may be operated to induce the user's self-training while providing self-training contents.
  • the self-training content may be displayed simultaneously with the user's gait information through the display unit of the gait diagnosis unit 110 or the user terminal 200, and the displayed self-training content guides the user's gait. It may correspond to the image corresponding to the reference information for this purpose, that is, the normal walking posture.
  • the user can self-correct the gait while matching the self-training content displayed on the display unit with the actual gait image.
  • a joint position image according to time flow can be extracted from the gait image taken from the vision sensor unit 111, and thus extracted time-specific joints
  • the location may be displayed in real time on the display unit of the gait diagnosis unit 110 or the user terminal 200 .
  • a pressure distribution image of the plantar pressure according to the passage of time can be extracted from the pressure value measured from the pressure sensor unit 112, , the pressure distribution for each time thus extracted may be displayed in real time on the display unit of the gait diagnosis unit 110 or the user terminal 200 .
  • preset reference information that is, the gait information of a normal person and corresponding self-training content together with the joint position by time and pressure distribution by time can be displayed together.
  • the user or the expert may be notified through the display unit.
  • the display color of the joint position by time and pressure distribution by time displayed in real time may be changed or turned on on the display unit.
  • a notification sound such as a buzzer may be output. Due to this, the user or the expert can recognize the user's inaccurate gait posture and effectively perform a corrective operation to match the joint position by time and pressure distribution by time displayed on the display unit to the reference information.
  • the precise diagnosis request step ( S140 ) may be a step of requesting an expert's precise diagnosis on the user's state information in the professional training mode.
  • control unit 230 may transmit a request signal for the user's precise diagnosis to the management server 300 or the expert terminal 400 side prior to performing the specialized training, and such precise diagnosis
  • the request signal may be transmitted to the expert terminal 400 .
  • the precise diagnosis performing step S150 may be a step of precisely diagnosing the user's state information measured by the diagnosis unit.
  • the expert having the expert terminal 400 renews the diagnosis list of the diagnosis unit 100 based on the previously measured state information of the user. It can be set, and according to the newly set diagnosis list, a detailed diagnosis of the user's status information can be requested.
  • the state information of the user is precisely diagnosed using the diagnosis unit 100 in which the diagnosis list is reset, and the newly diagnosed precise diagnosis information of the user may be re-uploaded and stored in the management server 300 .
  • the diagnosis list may be newly set by changing the pedestrian's gait section or adjusting the gait difficulty, and from this, the user's gait The condition can be accurately diagnosed.
  • the joint position image for each time extracted through the image processing unit of the control unit 230 and the pressure distribution image for each time period of the plantar pressure extracted through the pressure signal processing unit of the control unit 230 during the precise diagnosis are the gait posture diagnosis unit 110 Alternatively, it may be displayed in real time through the display unit of the user terminal 200 .
  • the professional training execution step ( S160 ) may be a step of inducing specialized training while providing professional training contents to the user based on the user's precise diagnosis information.
  • the expert having the expert terminal 400 precisely analyzes the user's status information again based on the user's precise diagnosis information re-uploaded to the management server 300, and based on this, the expert training content
  • the difficulty of the specialized training contents stored in the storage can be adjusted and set up anew.
  • the newly set specialized training content may be output to the display unit of the diagnosis unit 100 or the user terminal 200 .
  • the user can perform specialized training based on the output specialized training content.
  • the image processing unit of the control unit 230 during professional training it is possible to extract joint position images according to the passage of time from the gait image taken from the vision sensor unit 111, and the extracted joint positions by time can be used in the gait posture diagnosis unit 110 or the display unit of the user terminal 200 may be displayed in real time.
  • the pressure signal processing unit of the control unit 230 during self-training, it is possible to extract a pressure distribution image of the plantar pressure according to the passage of time from the pressure value measured by the pressure sensor unit 112, and thus the extracted hourly pressure
  • the distribution may be displayed in real time on the display unit of the gait posture diagnosis unit 110 or the user terminal 200 .
  • the display unit of the gait diagnosis unit 110 or the user terminal 200 includes reference information corresponding to the gait information of a normal person, along with the joint position by time and pressure distribution by time, and specialized training contents for inducing specialized training. may be displayed together.
  • the joint position for each time and the pressure distribution for each time exceed the allowable error set from the reference information or specialized training content displayed together, it can be notified to the user or the expert through the display unit.
  • the display color of the joint position and pressure distribution by time displayed in real time may be changed or turned on on the display unit. have. Also, a notification sound such as a buzzer may be output. Due to this, the user or the expert can recognize the user's inaccurate gait posture, and effectively perform a corrective action to match the joint position by time and pressure distribution by time displayed on the display unit to the reference information or specialized training content.
  • the user's state information, precise diagnosis information, self-training history information, and professional training history information acquired through the diagnosis unit 100 may be stored and managed in the management server 300 .
  • the expert having the expert terminal 400 determines that the improvement of the rehabilitation treatment of the user who is performing the above-described series of rehabilitation diagnosis and training is insufficient based on the user's history information managed by the management server 300, the expert It is also possible to perform separate specialized rehabilitation treatment such as requesting a hospital visit.
  • the rehabilitation diagnosis training system allows the user to self-measure and self-measure, even if it is not a specialized hospital, through the home health care platform using the user terminal 200 , the management server 300 and the expert terminal 400 .
  • the present invention is a home health care platform using a user terminal, a management server, and a professional terminal, so that the user can not only perform self-measurement and self-diagnosis without a specialized hospital, but also perform self-rehabilitation training for suspected symptoms. Because it can effectively perform precise diagnosis and professional rehabilitation treatment using expert opinions or specialized examination programs as needed, it can be widely used in various rehabilitation fields such as home health care services.

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Abstract

La présente invention concerne un système d'apprentissage de diagnostic de rééducation et un procédé d'apprentissage de diagnostic de rééducation dans lesquels un utilisateur requis pour subir un apprentissage de rééducation peut auto-mesurer et diagnostiquer des symptômes et peut identifier des symptômes suspects, et l'utilisateur est guidé pour subir un apprentissage d'auto-rééducation selon le niveau de symptôme identifié, ou un expert peut diagnostiquer avec précision et fournir un service de traitement de rééducation plus efficace. À cette fin, la présente invention concerne des caractéristiques comprenant : une unité de diagnostic pour mesurer l'état d'un utilisateur ; un terminal d'utilisateur ayant un module d'auto-apprentissage pour fournir à l'utilisateur des contenus d'auto-apprentissage de sorte à induire un auto-apprentissage, un module d'apprentissage d'expert pour fournir à l'utilisateur des contenus d'apprentissage d'expert de sorte à induire un apprentissage d'expert, et un dispositif de commande pour commander le module d'auto-apprentissage ou le module d'apprentissage d'expert sur la base d'informations concernant l'état de l'utilisateur mesuré par l'unité de diagnostic ; un serveur de gestion pour stocker et gérer des informations concernant l'état de l'utilisateur diagnostiqué par l'unité de diagnostic, des informations concernant l'auto-apprentissage effectué par l'utilisateur au moyen du module d'auto-apprentissage, et des informations concernant un apprentissage d'expert effectué par l'utilisateur au moyen du module d'apprentissage d'expert ; et un terminal d'expert pour configurer une liste de diagnostics de l'unité de diagnostic ou pour configurer le contenu d'apprentissage d'expert sur la base d'informations concernant l'état de l'utilisateur stockées dans le serveur de gestion.
PCT/KR2020/019001 2020-12-23 2020-12-23 Système d'apprentissage de diagnostic de rééducation et procédé d'apprentissage de diagnostic de rééducation WO2022139031A1 (fr)

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