WO2022139031A1 - Rehabilitation diagnosis training system and rehabilitation diagnosis training method - Google Patents

Rehabilitation diagnosis training system and rehabilitation diagnosis training method Download PDF

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Publication number
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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Prior art keywords
user
training
diagnosis
unit
self
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PCT/KR2020/019001
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French (fr)
Korean (ko)
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정호춘
이현희
이상세
김명춘
이은지
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주식회사 싸이버메딕
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Publication of WO2022139031A1 publication Critical patent/WO2022139031A1/en

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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.

Abstract

The present invention provides a rehabilitation diagnosis training system and a rehabilitation diagnosis training method wherein a user required to undergo a rehabilitation training can self-measure and diagnose symptoms and can identify suspicious symptoms, and the user is guided to undergo a self-rehabilitation training according to the identified level of symptom, or an expert can precisely diagnose and provide a more effective rehabilitation treatment service. To this end, the present invention provides features comprising: a diagnosis unit for measuring the state of a user; a user terminal having a self-training module for providing the user with self-training contents so as to induce self-training, an expert training module for providing the user with expert training contents so as to induce expert training, and a controller for controlling the self-training module or the expert training module on the basis of information regarding the state of the user measured by the diagnosis unit; a management server for storing and managing information regarding the state of the user diagnosed by the diagnosis unit, information regarding self-training performed by the user through the self-training module, and information regarding expert training performed by the user through the expert training module; and an expert terminal for configuring a diagnosis list of the diagnosis unit or configuring the expert training contents on the basis of information regarding the state of the user stored in the management server.

Description

재활 진단 훈련 시스템 및 재활 진단 훈련 방법Rehabilitation diagnosis training system and rehabilitation diagnosis training method
본 발명은 재활 진단 훈련 시스템 및 재활 진단 훈련 방법에 관한 것으로, 상세하게는 재활 훈련이 요구되는 사용자의 증상에 대한 자가 측정, 진단 및 의심 증상을 판별하고, 판별된 증상레벨에 따라 자가 재활 훈련을 유도하거나 전문가를 통한 정밀 진단 및 보다 효과적인 재활 치료 서비스를 제공할 수 있는 재활 진단 훈련 시스템 및 재활 진단 훈련 방법에 관한 것이다.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.
고령화 사회로의 진입에 의한 퇴행성 뇌질환이나 각종 성인병의 증가 등의 이유로 인하여 재활치료에 대한 관심과 수요는 날로 증가하고 있으나, 재활치료 시설 및 전문인력의 부족, 응용 시스템의 미비 등으로 인하여 재활치료 분야의 성장은 기대에 미치지 못하고 있다.The interest and demand for rehabilitation treatment is increasing day by day due to the increase of degenerative brain diseases and various geriatric diseases due to the entry into an aging society. Growth in the sector has not lived up to expectations.
재활 치료란, 질병, 사고, 재해 등으로 인하여 신체 부위에 손상을 입었을 때, 이에 대하여 임상적 처치를 받은 다음 손상 부위의 기능적 회복을 위해 수행하는 일련의 처치 과정을 말한다. 그리고, 재활 치료 중에서 운동요법을 이용하는 것을 특히 재활 훈련이라 한다.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.
재활 훈련은 의사 또는 재활치료사 등의 전문가가 제공하는 프로그램에 의하여 체계적으로 수행하여야 한다. 그러나 국내에는 재활 분야의 응용 시스템이 거의 없다시피하여, 의료 현장에서 저렴한 가격으로 개인별 맞춤 재활운동 처방을 받기란 매우 어려운 형편이다. 그리고, 재활 치료를 받기 위해서는 자유로운 이동이 불편한 환자가 직접 의료기관이나 재활센터 등에 직접 방문해야 하는 불편함이 있다.Rehabilitation training should be systematically performed by a program provided by a specialist such as a doctor or a rehabilitation therapist. However, in Korea, there are almost no application systems in the field of rehabilitation, so it is very difficult to receive personalized rehabilitation exercise prescriptions at low prices in the medical field. In addition, in order to receive rehabilitation treatment, there is an inconvenience in that a patient who is inconvenient to move freely must directly visit a medical institution or a rehabilitation center.
대한민국 등록특허공보 제1567859호(2015.11.12.공고)에는 인체 부착형 센서를 이용하여 인체의 동작을 디스플레이하면서 재활운동을 수행하는 '사용자 동작을 이용한 재활운동 시스템'이 개시되어 있다.Republic of Korea Patent Publication No. 1567859 (2015.11.12.Announcement) 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.
본 발명의 목적은 종래의 문제점을 해결하기 위한 것으로서, 재활 훈련이 요구되는 사용자의 증상에 대한 자가 측정, 진단 및 의심 증상을 판별하고, 판별된 증상레벨에 따라 자가 재활 훈련을 유도하거나 전문가를 통한 정밀 진단 및 보다 효과적인 재활 치료 서비스를 제공할 수 있는 재활 진단 훈련 시스템 및 재활 진단 훈련 방법을 제공함에 있다.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.
상술한 본 발명의 목적을 달성하기 위하여, 본 발명의 실시예에 따른 재활 진단 훈련 시스템은 사용자의 상태를 측정하기 위한 진단유닛; 사용자에게 자가훈련콘텐츠를 제공하면서 자가훈련을 유도하는 자가훈련모듈과, 사용자에게 전문훈련콘텐츠를 제공하면서 전문훈련을 유도하는 전문훈련모듈, 및 상기 진단유닛으로부터 측정된 사용자의 상태정보를 바탕으로 상기 자가훈련모듈 또는 상기 전문훈련모듈을 제어하는 제어부를 가지는 사용자단말기; 상기 진단유닛으로부터 진단된 사용자의 상태정보와, 상기 자가훈련모듈을 통하여 수행된 사용자의 자가훈련정보 및 상기 전문훈련모듈을 통하여 수행된 사용자의 전문훈련정보가 저장 및 관리되는 관리서버; 그리고, 상기 관리서버에 저장된 사용자의 상태정보를 바탕으로 상기 진단유닛의 진단목록을 설정하거나 상기 전문훈련콘텐츠를 설정하는 전문가단말기;를 포함하는 것을 특징으로 한다.In order to achieve the above object of the present invention, a rehabilitation diagnosis training system according to an embodiment of the present invention 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.
본 발명의 실시예에 따른 재활 진단 훈련 시스템에 있어서, 상기 제어부는, 상기 진단유닛에서 측정된 사용자의 상태정보와 미리 설정된 기준정보를 비교하여, 증상레벨에 따른 자가훈련모드와 전문훈련모드 중 어느 하나의 모드를 설정하는 모드판단부를 구비하고, 상기 전문훈련모드 시 상기 관리서버 또는 상기 전문가단말기 측으로 사용자의 정밀진단을 위한 신호를 송신할 수 있다.In the rehabilitation diagnosis training system according to an embodiment of the present invention, the 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.
이때, 상기 전문가단말기는, 상기 제어부로부터 정밀진단 신호가 수신되면, 상기 관리서버에 저장된 사용자의 상태정보를 바탕으로 상기 진단유닛의 진단목록을 재설정하거나, 사용자에게 제공되는 상기 전문훈련콘텐츠를 재설정할 수 있다.At this time, when the precise diagnosis signal is received from the control unit, 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. can
본 발명의 실시예에 따른 재활 진단 훈련 시스템에 있어서, 상기 진단유닛은 사용자의 보행자세를 측정하기 위한 보행자세 진단유닛을 포함할 수 있다.In the rehabilitation diagnosis training system according to an embodiment of the present invention, the diagnosis unit may include a gait diagnosis unit for measuring the user's gait.
이때, 상기 보행자세 진단유닛은 설정된 보행구간을 보행하는 사용자의 보행 영상을 촬영하기 위한 비션센서부와, 보행 중인 사용자의 발바닥으로부터 전해지는 압력을 측정하기 위한 압력센서부를 포함할 수 있다.In this case, 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.
본 발명의 실시예에 따른 재활 진단 훈련 시스템에 있어서, 상기 제어부는, 미리 설정된 기준정보와, 상기 비션센서부로부터 촬영된 영상정보, 및 상기 압력센서부로부터 측정된 압력정보를 디스플레이부에 표시할 수 있고, 이 경우 상기 영상정보 및 상기 압력정보가 상기 기준정보로부터 설정된 허용오차를 벗어날 경우, 상기 디스플레이부를 통하여 사용자에게 알려줄 수 있다.In the rehabilitation diagnosis training system according to an embodiment of the present invention, the 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.
본 발명의 실시예에 따른 재활 진단 훈련 시스템에 있어서, 상기 압력센서부는, 보행자가 착용하는 신발의 좌우측 깔창에 각각 구비될 수 있다.In the rehabilitation diagnosis training system according to an embodiment of the present invention, the pressure sensor unit may be provided on left and right insoles of shoes worn by pedestrians, respectively.
이때, 상기 압력센서부는 각각의 상기 깔창의 전후방향 및 좌우방향으로 구획된 복수의 영역에 가해지는 단위압력을 측정하는 복수개의 압력센서와, 각각의 상기 압력센서로부터 측정되는 압력신호를 증폭시키는 증폭부와, 증폭된 압력신호의 유효한 신호를 제외한 나머지 신호를 필터링하는 노이즈필터부와, 필터링된 압력신호를 상기 사용자단말기 또는 상기 관리서버로 송신하는 통신부를 포함할 수 있다.At this time, 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.
본 발명의 실시예에 따른 재활 진단 훈련 방법은, 진단유닛을 이용하여 사용자의 상태를 측정하는 상태정보 측정단계; 측정된 사용자의 상태정보를 바탕으로 자가훈련모드 또는 전문훈련모드를 설정하는 훈련모드 설정단계; 상기 자가훈련모드 시, 사용자에게 자가훈련콘텐츠를 제공하면서 자가훈련을 유도하는 자가훈련 수행단계; 상기 전문훈련모드 시, 사용자의 상태정보에 대한 전문가의 정밀진단을 요청하는 정밀진단 요청단계; 상기 진단유닛을 이용하여 사용자의 상태를 정밀 진단하는 정밀진단 수행단계; 그리고, 정밀 진단된 사용자의 정밀진단정보를 바탕으로 사용자에게 전문훈련콘텐츠를 제공하면서 전문훈련을 유도하는 전문훈련 수행단계;를 포함하는 것을 특징으로 한다.A rehabilitation diagnosis training method according to an embodiment of the present invention 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.
본 발명의 실시예에 따른 재활 진단 훈련 방법에 있어서, 상기 진단유닛은, 사용자의 보행 영상을 촬영하기 위한 비젼센서부와, 보행 중인 사용자의 발바닥으로부터 전해지는 압력을 측정하기 위한 압력센서부를 구비하는 보행자세 진단유닛을 포함할 수 있고, 이 경우 상기 자가훈련 수행단계 또는 상기 전문훈련 수행단계는, 상기 비젼센서부로부터 촬영되는 보행 영상으로부터 시간별 관절위치를 추출하여, 추출된 시간별 관절위치를 디스플레이부에 표시할 수 있고, 상기 압력센서부로부터 측정되는 압력 값으로부터 시간별 압력분포를 추출하여, 추출된 시간별 압력분포를 상기 디스플레이부에 표시할 수 있으며, 이때, 상기 시간별 관절위치 및 상기 시간별 압력분포가 미리 설정된 기준정보로부터 설정된 허용오차를 초과할 경우 상기 디스플레이부를 통하여 사용자 또는 전문가에게 알려줄 수 있다.In the rehabilitation diagnosis training method according to an embodiment of the present invention, 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.
본 발명에 따르면, 사용자단말기, 관리서버 및 전문가단말기를 이용한 홈 헬스 케어 플랫폼을 통하여, 전문 병원이 아니더라도 사용자 스스로가 자가 측정 및 자가 진단을 수행할 수 있을뿐만 아니라, 의심 증상에 대한 자가 재활 훈련을 효과적으로 수행할 수 있다.According to the present invention, through a home health care platform using a user terminal, a management server, and a professional terminal, 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.
본 발명에 따르면, 상대적으로 중증 환자에 대해서는 전문가단말기를 이용한 전문가의 의견이나 전문 검사프로그램을 이용하여 중증 환자의 상태를 보다 정밀하게 진단할 수 있고, 그에 따른 전문훈련 프로그램을 제안함으로써, 홈 헬스 케어 서비스를 통한 재활 훈련 및 치료 효과를 더욱 높일 수 있다.According to the present invention, it is possible to more precisely diagnose the condition of a seriously ill patient by using an expert opinion or a professional examination program using an expert terminal for a relatively seriously ill patient, and by proposing a specialized training program accordingly, home health care Rehabilitation training and treatment effects can be further enhanced through services.
도 1은 본 발명의 실시예에 따른 재활 진단 훈련 시스템을 설명하기 위한 블록 예시도이다.1 is a block diagram illustrating a rehabilitation diagnosis training system according to an embodiment of the present invention.
도 2는 본 발명의 실시예에 따른 보행자세 진단유닛을 나타낸 예시도이다.2 is an exemplary view showing a gait diagnosis unit according to an embodiment of the present invention.
도 3은 도 2의 보행자세 진단유닛의 압력센서부를 나타낸 예시도이다.FIG. 3 is an exemplary view showing a pressure sensor unit of the gait posture diagnosis unit of FIG. 2 .
도 4는 본 발명에 따른 디스플레이부를 통하여 표시되는 보행자의 영상정보를 나타낸 예시도이다.4 is an exemplary view showing image information of a pedestrian displayed through the display unit according to the present invention.
도 5는 본 발명에 따른 디스플레이부를 통하여 표시되는 보행자의 압력정보를 나타낸 예시도이다.5 is an exemplary view showing pedestrian pressure information displayed through the display unit according to the present invention.
도 6은 본 발명의 실시예에 따른 재활 진단 훈련 방법을 나타낸 흐름도이다.6 is a flowchart illustrating a rehabilitation diagnosis training method according to an embodiment of the present invention.
이하 상술한 해결하고자 하는 과제가 구체적으로 실현될 수 있는 본 발명의 바람직한 실시예들이 첨부된 도면을 참조하여 설명된다. 본 실시예들을 설명함에 있어서, 동일 구성에 대해서는 동일 명칭 및 동일 부호가 사용될 수 있으며 이에 따른 부가적인 설명은 생략될 수 있다.Hereinafter, preferred embodiments of the present invention in which the above-described problems to be solved can be specifically realized will be described with reference to the accompanying drawings. In describing the present embodiments, the same names and reference numerals may be used for the same components, and an additional description thereof may be omitted.
도 1은 본 발명의 실시예에 따른 재활 진단 훈련 시스템을 설명하기 위한 블록 예시도이다.1 is a block diagram illustrating a rehabilitation diagnosis training system according to an embodiment of the present invention.
도 1을 참조하면, 본 발명의 실시예에 따른 재활 진단 훈련 시스템은 진단유닛(100), 사용자단말기(200), 관리서버(300) 및 전문가단말기(400)를 포함할 수 있다.Referring to FIG. 1 , a rehabilitation diagnosis training system according to an embodiment of the present invention may include a diagnosis unit 100 , a user terminal 200 , a management server 300 , and an expert terminal 400 .
진단유닛(100)은 사용자의 상태를 측정 및 진단할 수 있다.The diagnosis unit 100 may measure and diagnose the user's condition.
즉, 진단유닛(100)은 사용자의 일상생활 동작을 측정하고, 측정된 동작정보를 이용하여, 인체의 이상여부를 진단할 수 있다.That is, 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.
이러한 진단유닛(100)은 진단 대상에 복수의 진단유닛이 구비될 수 있다.The diagnosis unit 100 may include a plurality of diagnosis units to be diagnosed.
예를 들어, 진단유닛(100)은 보행자세 진단유닛(110)을 이용하여 사용자의 부정확한 보행자세를 측정 및 진단할 수 있다.For example, the diagnosis unit 100 may measure and diagnose an incorrect gait posture of the user by using the gait posture diagnosis unit 110 .
그리고, 진단유닛(100)은 정적자세 진단유닛(120)을 이용하여 앉거나 서 있는 사용자의 자세를 측정 및 진단할 수도 있다.In addition, the diagnosis unit 100 may measure and diagnose the posture of a sitting or standing user using the static posture diagnosis unit 120 .
또한, 진단유닛(100)은 신경인지기능 진단유닛(130)을 이용하여 사용자의 신경인지기능의 이상여부를 측정 및 진단할 수도 있다.In addition, the diagnosis unit 100 may measure and diagnose whether the user's neurocognitive function is abnormal by using the neurocognitive function diagnosis unit 130 .
예를 들어, 동일 사용자에 대해 보행자세 진단유닛(110)과 신경인지기능 진단유닛(130)을 함께 수행할 경우 사용자의 상태정보를 보다 정확하게 측정 및 진단할 수 있다.For example, when 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.
이러한 진단유닛(100)으로부터 측정 및 진단된 사용자의 상태정보는 사용자단말기(200) 또는 관리서버(300)에 업로드 및 저장될 수 있다.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 .
사용자단말기(200)는 진단유닛(100)을 통해 측정된 사용자 상태정보 및 다양한 훈련콘텐츠가 표시되는 디스플레이부를 구비할 수 있고, 디스플레이부를 통해 표시되는 컨텐츠를 조절 및 설정하기 위한 입력부를 구비할 수 있다. 또한, 사용자단말기(200)는 진단유닛(100), 관리서버(300) 및 전문가단말기(400)와 유무선 통신을 위한 통신부를 구비할 수 있다.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. . In addition, 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 .
사용자단말기(200)를 보유한 사용자 또는 치료보조사는 개인식별정보에 해당하는 로그인 정보를 입력하는 것으로 진단유닛(100), 관리서버(300) 및 전문가단말기(400)에 접속할 수 있다. 그리고, 진단유닛(100), 관리서버(300) 및 전문가단말기(400)들로부터 필요로 하는 정보를 다운로드하거나 업로드할 수 있다.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. In addition, necessary information may be downloaded or uploaded from the diagnosis unit 100 , the management server 300 , and the expert terminals 400 .
이러한 사용자단말기(200)는 진단유닛(100)에 구비된 디스플레이부일 수 있다. 또한, 사용자단말기(200)는 진단유닛(100)에 구비된 디스플레이부와 별도로 사용자가 보유한 휴대폰, 태블릿 등이 사용될 수 있고, 스마트워치 등의 웨어러블 기기가 사용될 수도 있다.The user terminal 200 may be a display unit provided in the diagnosis unit 100 . In addition, as the user terminal 200 , 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.
본 실시예에 따른 사용자단말기(200)는 자가훈련모듈(210), 전문훈련모듈(220) 및 제어부(230)를 더 포함할 수 있다.The user terminal 200 according to the present embodiment may further include a self-training module 210 , a specialized training module 220 , and a control unit 230 .
자가훈련모듈(210)은 자가훈련콘텐츠 저장부를 구비할 수 있다.The self-training module 210 may include a self-training content storage unit.
즉, 자가훈련모듈(210)은 제어부(230)의 신호에 따라, 진단유닛(100) 또는 사용자단말기(200)에 구비되는 디스플레이부를 통하여 자가훈련콘텐츠 저장부에 저장된 자가훈련콘텐츠를 사용자에게 제공하면서 사용자의 자가훈련을 유도할 수 있다.That is, 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.
자가훈련콘텐츠는 기준정보 즉, 정상인의 상태정보와 상응하는 이미지일 수 있다.The self-training content may be an image corresponding to reference information, that is, state information of a normal person.
자가훈련콘텐츠 저장부에는 사용자의 흥미유발을 위해 일상생활을 모사한 2D 또는 3D 형태의 다양한 콘텐츠이미지가 저장될 수 있으며, 이러한 콘텐츠이미지는 진단유닛(100) 또는 사용자단말기(200)의 디스플레이부를 통하여 사용자에게 제공될 수 있다.In the self-training contents storage unit, 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.
결국 사용자는 디스플레이부에 표시되는 자가훈련콘텐츠를 바탕으로 본인 스스로 부정확한 동작상태를 자가 진단할 수 있고, 표시되는 자가훈련콘텐츠와 일치되게 동작을 자가 교정할 수도 있다.As a result, 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.
이러한 자가훈련모듈(210)을 통한 사용자의 자가훈련 정보는 관리서버(300)에 업로드 및 저장될 수 있다.The user's self-training information through the self-training module 210 may be uploaded and stored in the management server 300 .
전문훈련모듈(220)은 전문훈련콘텐츠 저장부를 구비할 수 있다.The specialized training module 220 may include a specialized training content storage unit.
즉, 전문훈련모듈(220)은 제어부(230)의 신호에 따라, 진단유닛(100) 또는 사용자단말기(200)에 구비되는 디스플레이부를 통하여 전문훈련콘텐츠 저장부에 저장된 전문훈련콘텐츠를 사용자에게 제공하면서 사용자의 전문훈련을 유도할 수 있다. That is, 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.
전문훈련콘텐츠는 기준정보에 해당하는 자가훈련콘텐츠와 다른 이미지일 수 있다.The professional training content may be an image different from the self-training content corresponding to the reference information.
사용자는 디스플레이부에 표시되는 전문훈련콘텐츠를 바탕으로 본인 스스로 부정확한 동작상태를 정밀 진단할 수 있고, 표시되는 전문훈련콘텐츠와 일치되게 동작을 보다 정밀하게 교정할 수도 있다.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.
이러한 전문훈련모듈(220)을 통한 사용자의 전문훈련정보는 관리서버(300)에 업로드 및 저장될 수 있다.The user's specialized training information through the specialized training module 220 may be uploaded and stored in the management server 300 .
제어부(230)는 진단유닛(100)으로부터 측정된 사용자의 상태정보를 바탕으로 자가훈련모듈(210) 또는 전문훈련모듈(220)을 제어할 수 있다.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 .
제어부(230)는 훈련모드판단부를 구비할 수 있다.The control unit 230 may include a training mode determining unit.
훈련모드판단부는 진단유닛(100)에서 측정된 사용자의 상태정보와 미리 설정된 기준정보를 비교하여 자가훈련모드와 전문훈련모드 중 어느 하나의 모드를 설정할 수 있다.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.
상기 기준정보는 정상인의 상태정보에 해당하는 것으로, 예를 들어, 정상인이 가지는 신경인지기능, 정적자세 및 보행자세에 상응하는 정보일 수 있다.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.
결국, 훈련모드판단부는 진단유닛(100)에서 측정된 사용자의 증상레벨에 따라 자가훈련을 수행할 것인지 전문훈련을 수행할 것인지를 판별할 수 있다.As a result, 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 .
즉, 자가훈련모드 시에는 자가훈련모듈(210)을 제어하여 진단유닛(100)을 이용한 사용자의 자가훈련을 수행할 수 있고, 전문훈련모드 시에는 전문훈련모듈(220)을 제어하여 진단유닛(100)을 이용한 사용자의 전문훈련을 수행할 수 있다.That is, in the self-training mode, the self-training module 210 is controlled to perform self-training of the user using the diagnosis unit 100, and in the specialized training mode, the self-training module 220 is controlled to control the diagnosis unit ( 100) can be used for professional training of users.
한편, 훈련모드판단부를 통하여 전문훈련모드로 판별되면, 전문훈련을 수행하기에 앞서, 관리서버(300) 또는 전문가단말기(400) 측으로 사용자의 정밀진단을 위한 신호를 송출할 수 있다.On the other hand, if it is determined as the specialized training mode through the training mode determining unit, before performing the specialized training, it is possible to transmit a signal for the user's precise diagnosis to the management server 300 or the expert terminal 400 side.
그리고, 제어부(230)는 알림부를 더 구비할 수 있다.In addition, the control unit 230 may further include a notification unit.
알림부는 진단유닛(100)에 의해 측정된 사용자의 상태정보와 미리 설정된 기준정보가 설정된 허용오차 범위를 벗어날 경우, 진단유닛(100) 또는 사용자단말기(200)에 구비되는 디스플레이부를 통하여 사용자에게 알릴 수 있다.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.
관리서버(300)는 진단유닛(100)으로부터 진단된 사용자의 상태정보와, 자가훈련모듈을 통하여 수행된 사용자의 자가훈련정보 및 전문훈련모듈을 통하여 수행된 사용자의 전문훈련정보가 저장 및 관리될 수 있다.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. can
사용자단말기(200) 및 전문가단말기(400)를 보유한 사용자 및 전문가는 개별 로그인 정보를 입력하여, 관리서버(300)에 접속할 수 있다. 그리고 진단유닛(100)을 통해 획득된 사용자의 상태정보 및 정밀진단정보와, 자가훈련모듈(210)을 통해 획득된 자가훈련 이력정보 및 전문훈련모듈(220)을 통해 획득된 전문훈련 이력정보는 관리서버(300)에 일괄 저장될 수 있다, 또한, 관리서버(300)에 저장된 정보는 사용자단말기(200) 또는 전문가단말기(400)를 통한 로그인 상태에서 사용자 또는 전문가에 의해 열람, 공유 및 관리될 수 있다.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
전문가단말기(400)는 관리서버(300)에 저장된 사용자 상태정보 및 훈련이력을 확인하기 위한 디스플레이부를 구비할 수 있고, 조작을 위한 입력부를 구비할 수 있다. 그리고 전문가단말기(400)는 진단유닛(100), 관리서버(300) 및 사용자단말기(200)와 유무선 통신을 위한 통신부를 구비할 수 있다.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. In addition, 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 .
전문가단말기(400)를 보유한 전문가는 로그인 정보를 입력하여, 관리서버(300)에 접속할 수 있고, 관리서버(300)에 저장된 관련 정보를 다운로드하거나 업로드할 수 있고, 관련 정보를 편집하는 등 이력 정보를 관리할 수 있다.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
이러한 전문가단말기(400)로는 전문가가 보유한 컴퓨터, 휴대폰, 태블릿 등이 사용될 수 있다.As the expert terminal 400, a computer, mobile phone, tablet, etc. owned by the expert may be used.
본 실시예에 따른 전문가단말기(400)는 진단목록 설정부 및 전문훈련콘텐츠 설정부를 포함할 수 있다.The expert terminal 400 according to the present embodiment may include a diagnosis list setting unit and a specialized training content setting unit.
진단목록 설정부는 진단유닛(100)을 이용한 사용자의 진단목록을 설정할 수 있다.The diagnosis list setting unit may set a diagnosis list of a user using the diagnosis unit 100 .
즉, 훈련모드판단부에 의한 정밀진단 신호가 사용자단말기(200) 또는 관리서버(300)로부터 수신되면, 전문가단말기(400)를 보유한 전문가는 앞서 측정된 사용자의 상태정보를 분석하여, 진단유닛(100)의 진단목록을 재설정할 수 있고, 재설정된 진단목록에 따라 사용자의 상태정보에 대한 정밀 진단을 요청할 수 있다.That is, when the precise diagnosis signal by the training mode determining unit is received from the user terminal 200 or the management server 300, 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.
이에 따라, 진단목록이 재설정된 진단유닛(100)을 이용하여 사용자의 상태정보는 보다 정밀하게 측정 및 진단될 수 있고, 이렇게 정밀 진단된 사용자의 정밀진단정보는 관리서버(300)에 재업로드되어 저장될 수 있다.Accordingly, 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.
전문훈련콘텐츠 설정부는 전문훈련콘텐츠 저장부에 저장된 전문훈련콘텐츠를 설정할 수 있다.The specialized training contents setting unit may set the specialized training contents stored in the specialized training contents storage unit.
즉, 전문가단말기(400)를 보유한 전문가는 관리서버(300)에 재업로드되어 저장된 사용자의 정밀진단정보를 바탕으로 사용자의 상태정보를 정밀 분석하고, 이를 기초로 전문훈련콘텐츠 저장부에 저장된 전문훈련콘텐츠를 설정할 수 있다.That is, 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.
이에 따라, 진단유닛(100) 또는 사용자단말기(200)의 디스플레이부로 출력되는 전문훈련콘텐츠를 이용하여 사용자는 전문훈련을 수행할 수 있다.Accordingly, 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 .
이하에서는 본 발명의 실시예에 따른 보행자세 진단유닛(110)을 이용한 재활 진단 훈련 시스템에 대해 상세히 설명한다.Hereinafter, a rehabilitation diagnosis training system using the gait posture diagnosis unit 110 according to an embodiment of the present invention will be described in detail.
보행자세 진단유닛(110)은 사용자의 보행 자세를 측정하고, 측정된 보행 상태정보를 이용하여 사용자의 부정확한 보행 자세를 진단할 수 있다.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.
도 2는 본 발명의 실시예에 따른 보행자세 진단유닛을 나타낸 예시도이다.2 is an exemplary view showing a gait diagnosis unit according to an embodiment of the present invention.
도 2를 참조하면, 보행자세 진단유닛(110)은 비젼센서부(111) 및 압력센서부(112)를 포함할 수 있다.Referring to FIG. 2 , the gait posture diagnosis unit 110 may include a vision sensor unit 111 and a pressure sensor unit 112 .
비젼센서부(111)는 보행자의 보행 자세를 촬영할 수 있고, 촬영된 영상으로부터 보행자의 시간별 관절위치, 보행속도 등을 획득할 수 있다.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.
예컨대, 보행패턴의 정확도를 고려하여, 비젼센서부(111)를 통한 촬영 전 사용자는 소정 시간 동안 보행연습을 수행한 이후, 실제 보행을 촬영하도록 설정할 수 있다.For example, in consideration of the accuracy of the gait pattern, 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 .
그리고, 보행패턴을 정확도를 고려하여, 비젼센서부(111)는 설정된 보행구간을 왕복하여 보행하는 사용자를 촬영하도록 설치될 수 있다.In addition, in consideration of the accuracy of the walking pattern, the vision sensor unit 111 may be installed to photograph a user walking in a reciprocal manner in a set walking section.
이러한 비젼센서부(111)로는 스테레오 카메라, ToF 센서, 레이저 센서, 초음파 센서 등이 사용될 수 있다. 물론 이 외에도 다양한 비젼센서가 사용될 수 있다.As the vision sensor unit 111, a stereo camera, a ToF sensor, a laser sensor, an ultrasonic sensor, or the like may be used. Of course, in addition to this, various vision sensors may be used.
압력센서부(112)는 보행 중인 사용자의 발바닥으로부터 전해지는 압력을 측정할 수 있다.The pressure sensor unit 112 may measure the pressure transmitted from the sole of the walking user.
도 3은 도 2의 보행자세 진단유닛의 압력센서부를 나타낸 예시도이다.FIG. 3 is an exemplary view showing a pressure sensor unit of the gait posture diagnosis unit of FIG. 2 .
도 3을 추가 참조하면, 압력센서부(112)는 보행자에게 장착될 수 있으며, 신발의 좌우측 깔창(113)에 구비될 수 있다.Referring additionally to FIG. 3 , 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.
깔창(113)에 구비되는 압력센서부(112)는, 압력센서(114), 멀터플렉서(115), 증폭부(116), 노이즈필터(117), 신호변환부(118), 통신부(119)를 포함할 수 있다.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.
압력센서(114)는 깔창(113)에 복수개가 구비될 수 있고, 깔창(113)의 전후방향 및 좌우방향으로 구획된 복수의 영역에서 가해지는 단위압력을 독립적으로 측정할 수 있다.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 .
멀터플렉서(115)는 압력센서(114)로부터 수신되는 복수의 압력신호를 하나의 압력신호로 전달할 수 있다.The multiplexer 115 may transmit a plurality of pressure signals received from the pressure sensor 114 as one pressure signal.
증폭부(116)는 복수의 압력센서(114)로부터 측정되는 압력신호를 모아 증폭시킬 수 있다.The amplifying unit 116 may collect and amplify the pressure signals measured from the plurality of pressure sensors 114 .
노이즈필터(117)는 증폭부(116)로부터 증폭된 압력신호 중 유효한 신호를 제외한 나머지 신호를 필터링하여 제거할 수 있다.The noise filter 117 may filter and remove the remaining signals except for valid signals among the pressure signals amplified by the amplifier 116 .
신호변환부(118)는 노이즈필터(117)로부터 필터링된 아날로그 압력신호를 디지털 압력신호로 변환할 수 있다.The signal conversion unit 118 may convert the analog pressure signal filtered by the noise filter 117 into a digital pressure signal.
통신부(119)는 디지털 신호로 변환된 압력신호를 사용자단말기(200) 또는 관리서버(300)로 송신할 수 있다.The communication unit 119 may transmit the pressure signal converted into a digital signal to the user terminal 200 or the management server 300 .
한편, 보행자세 진단유닛(110)은 디스플레이부를 구비할 수 있는데, 디스플레이부는 비젼센서부(111) 및 압력센서부(112)를 통해 측정된 사용자의 보행정보를 실시간으로 표시할 수 있다.Meanwhile, 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.
한편, 제어부(230)는 영상처리부를 더 구비할 수도 있다.Meanwhile, the control unit 230 may further include an image processing unit.
영상처리부는 비젼센서부(111)로부터 촬영된 영상을 이미지 처리하여, 불필요한 이미지는 제거하고, 사용자의 보행 자세와 직결되는 관절위치만을 선명하게 추출할 수 있다.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.
도 4에서와 같이, 영상처리부는 비젼센서부(111)에서 촬영된 영상으로부터 스켈레톤 이미지를 추출할 수 있고, 이렇게 추출된 스켈레톤 이미지는 사용자단말기(200) 또는 보행자세 진단유닛(110)의 디스플레이부를 통하여 실시간으로 출력될 수 있다. 그러면 사용자 또는 치료사는 출력되는 스켈레톤 이미지로부터 사용자의 보행 자세를 보다 직관적이고 정확하게 진단할 수 있다.As shown in FIG. 4 , 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.
그리고, 제어부(230)는 압력신호처리부를 더 구비할 수도 있다.In addition, the control unit 230 may further include a pressure signal processing unit.
압력신호처리부는 압력센서부(112)로부터 측정되는 압력신호를 처리하여, 사용자단말기(200) 또는 보행자세 진단유닛(110)의 디스플레이부를 통하여 다양한 출력값으로 출력할 수 있다.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 .
도 5는 본 발명에 따른 디스플레이부를 통하여 표시되는 보행자 족저압의 다양한 출력정보를 나타낸 예시도이다.5 is an exemplary view showing various output information of a pedestrian plantar pressure displayed through the display unit according to the present invention.
도 5 (a)는 좌측 인솔(113a) 및 우측 인솔(113b)에서 측정된 시간(T)의 흐름에 따른 압력세기(P)를 나타낸 선도이다.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.
도 5 (b)는 좌측 인솔(113a) 및 우측 인솔(113b)에서 측정된 시간(T)의 흐름에 따른 족저압의 압력분포(P)를 나타낸 이미지이다.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.
도 5 (c)는 좌측 인솔(113a) 및 우측 인솔(113b)에서 측정된 시간(T)의 흐름에 따른 족저압의 압력중심점(Center of Pressure; COP)을 나타낸 이미지이다.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.
도 5 (d)는 좌측 인솔(113a) 및 우측 인솔(113b)에서 측정된 시간(T)의 흐름에 따른 족저압의 압력분포를 구역별로 수치화하여 나타낸 이미지이다.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.
이처럼 입력신호처리부를 거쳐 디스플레이부에 표시되는 족저압의 다양한 출력정보를 통하여, 보행자의 좌우측의 균형 및 보행패턴을 정확하게 진단할 수 있다.As described above, through the input signal processing unit and various output information of plantar pressure displayed on the display unit, it is possible to accurately diagnose the left and right balance and gait pattern of the pedestrian.
이상에서와 같이, 보행자세 진단유닛(110)을 통하여 측정된 사용자의 보행정보는 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부를 통하여 실시간으로 표시되며, 이와 동시에 관리서버(300)에 업로드 및 저장될 수 있다.As described above, 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
그리고, 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부를 통하여, 영상정보 및 압력정보와 함께, 미리 설정된 기준정보를 함께 표시할 수 있다. 이때, 표시되는 영상정보 및 압력정보가 기준정보로부터 설정된 허용오차를 초과할 경우, 제어부(230)는 허용오차를 초과하는 영상정보 또는 압력정보를 점등시키거나 표시색을 변경하여 표시할 수 있다. 이로 인하여 사용자는 보행 동작의 오차값을 보다 신속하고 용이하게 확인 및 진단할 수 있다.In addition, 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 . At this time, when the displayed image information and pressure information exceed the allowable error set from the reference information, 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.
한편, 제어부(230)의 훈련모드판단부는 보행자세 진단유닛(110)에서 측정된 사용자의 보행정보와 미리 설정된 기준정보를 비교하여, 사용자의 보행정보와 기준정보가 설정된 허용오차 범위 이내에 존재할 경우에는 자가훈련모드를 설정하고, 자가훈련모듈(210)을 동작시킬 수 있다.On the other hand, 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 .
즉, 자가훈련모드는 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부를 통해 사용자의 보행정보가 실시간으로 표시될 수 있고, 이와 함께 자가훈련콘텐츠가 표시될 수 있다. 이때 표시되는 자가훈련콘텐츠는 사용자의 보행자세를 안내하기 위한 기준정보 즉, 정상보행자세와 상응하는 이미지에 해당할 수 있다.That is, in the self-training mode, 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. At this time, 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.
결국, 사용자는 디스플레이부에 표시되는 자가훈련콘텐츠와 실제 보행동작 이미지와의 차이값으로부터 본인의 보행자세를 자가 진단할 수 있고, 자가훈련콘텐츠와 실제 보행동작 이미지를 서로 일치시키면서 보행자세를 자가 교정할 수 있다.As a result, 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.
그리고, 제어부(230)의 훈련모드판단부는 보행자세 진단유닛(110)에서 측정된 사용자의 보행정보와 미리 설정된 기준정보를 비교하여, 사용자의 보행정보와 기준정보가 설정된 허용오차 범위를 초과할 경우에는 전문훈련모드를 설정하고, 전문훈련모듈(220)을 동작시킬 수 있다.And, 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.
전문훈련모드가 설정되면, 전문훈련을 수행하기에 앞서 제어부(230)는 관리서버(300) 또는 전문가단말기(400) 측으로 사용자의 정밀진단을 위한 신호를 송출할 수 있다.When the specialized training mode is set, the 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.
즉, 정밀진단 신호가 사용자단말기(200) 또는 관리서버(300)로부터 수신되면, 전문가단말기(400)를 보유한 전문가는 앞서 측정된 사용자의 보행정보를 바탕으로 보행자세 진단유닛(110)의 진단목록을 새롭게 설정할 수 있고, 새롭게 설정된 진단목록에 따라 사용자의 상태정보에 대한 정밀 측정 및 진단을 요청할 수 있다.That is, when the precise diagnosis signal is received from the user terminal 200 or the management server 300, 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.
이에 따라, 새로운 진단목록이 설정된 보행자세 진단유닛(110)을 이용하여 사용자의 보행정보를 재차 정밀 진단하고, 새롭게 진단된 사용자의 정밀진단정보는 관리서버(300)에 재업로드 및 저장될 수 있다.Accordingly, 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 . .
정밀진단이 완료되면, 전문가단말기(400)를 보유한 전문가는 관리서버(300)에 재업로드된 사용자의 정밀진단정보를 바탕으로 사용자의 보행정보를 정밀 분석하고, 이를 기초로 전문훈련콘텐츠 저장부에 저장된 전문훈련콘텐츠를 설정할 수 있다.When the detailed diagnosis is completed, 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.
전문훈련콘텐츠는 자가훈련콘텐츠와 상이한 이미지일 수 있으며, 전문훈련콘텐츠는 정밀진단정보로부터 새롭게 정밀 진단된 사용자의 증상레벨에 따라 그 난이도가 달리 설정될 수 있다.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.
즉, 전문훈련콘텐츠는 정상보행자세와 상응하는 기준정보와 달리, 상대적으로 중증인 사용자의 보행동작을 유도할 수 있는 2D 또는 3D 형태의 다양한 콘텐츠이미지가 사용자에게 제공될 수 있다.That is, 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.
이처럼 진단유닛(100) 또는 사용자단말기(200)의 디스플레이부로부터 출력되는 전문훈련콘텐츠를 이용하여 사용자는 전문훈련을 수행할 수 있다.As such, 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 .
이하에서는 본 발명의 실시예에 따른 재활 진단 훈련 방법에 대해 설명한다.Hereinafter, a method for rehabilitation diagnosis training according to an embodiment of the present invention will be described.
도 6은 본 발명의 실시예에 따른 재활 진단 훈련 방법을 나타낸 흐름도이다.6 is a flowchart illustrating a rehabilitation diagnosis training method according to an embodiment of the present invention.
도 6을 참조하면, 실시예에 따른 재활 진단 훈련 방법은 상태정보 측정단계(S110), 훈련모드 설정단계(S120), 자가훈련 수행단계(S130), 정밀진단 요청단계(S140), 정밀진단 수행단계(S150), 및 전문훈련 수행단계(S160)를 포함할 수 있다.6 , the rehabilitation diagnosis training method according to the embodiment 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).
상태정보 측정단계(S110)는 진단유닛을 이용하여 사용자의 상태를 측정하는 단계일 수 있다.The state information measuring step S110 may be a step of measuring the user's state using the diagnosis unit.
즉, 진단유닛(100)을 통하여 사용자의 일상생활 동작을 측정하여 사용자의 상태정보를 생성할 수 있다. 이렇게 측정 및 생성된 사용자의 상태정보는 사용자단말기(200) 또는 관리서버(300)에 업로드 및 저장된다.That is, 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 .
예를 들면, 보행자세 진단유닛(110)을 이용하여 사용자의 보행정보를 측정할 경우를 설명하면 다음과 같다.For example, the case of measuring the user's gait information using the gait diagnosis unit 110 will be described as follows.
비젼센서부(111)를 통하여 설정된 보행구간을 보행하는 사용자를 촬영하고, 이와 동시에, 압력센서부(112)로부터 설정된 보행구간을 보행하는 사용자로부터 전해지는 압력을 측정한다.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.
촬영된 보행영상은 제어부(230)의 영상처리부를 통하여, 도 3에서와 같이 스켈레톤 이미지 형태를 가지는 시간 흐름에 따른 관절위치 이미지를 추출할 수 있고, 이렇게 추출된 시간별 관절위치 이미지는 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부에 실시간으로 표시될 수 있다.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.
또한, 측정된 압력값은 제어부(230)의 압력신호처리부를 통하여, 도 5에서와 같은 시간 흐름에 따른 족저압의 다양한 출력정보를 추출할 수 있고, 이렇게 추출된 족저압의 출력정보는 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부에 실시간으로 표시될 수 있다.In addition, from the measured pressure value, 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 .
이때, 디스플레이부에는 시간별 관절위치 및 시간별 압력분포와 함께 미리 설정된 기준정보 즉, 정상인의 보행자세정보가 함께 표시될 수 있다. 이로 인하여 사용자 또는 전문가는 사용자의 부정확한 보행자세를 용이하게 식별할 수 있다.In this case, preset reference information, that is, 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.
훈련모드 설정단계(S120)는 사용자의 상태정보를 바탕으로 자가훈련모드 또는 전문훈련모드를 설정하는 단계일 수 있다.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.
즉, 측정된 사용자의 상태정보와 미리 설정된 기준정보를 비교하여 자가훈련모드와 전문훈련모드 중 어느 하나의 모드를 설정할 수 있다.That is, by comparing the measured state information of the user with the preset reference information, any one of the self-training mode and the specialized training mode can be set.
예를 들어, 사용자의 보행정보와 기준정보가 설정된 허용오차 범위 이내에 존재할 경우에는 상대적으로 경미한 증상으로 판단하여 자가훈련모드가 설정될 수 있다.For example, when the user's gait information and the reference information are within the set tolerance range, the self-training mode may be set by judging it as a relatively mild symptom.
그리고, 사용자의 보행정보와 기준정보가 설정된 허용오차 범위를 초과할 경우에는 상대적으로 중증의 증상으로 판단하여 전문훈련모드가 설정될 수 있다.In addition, when 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.
자가훈련 수행단계(S130)는 자가훈련모드 시, 사용자에게 자가훈련콘텐츠를 제공하면서 자가훈련을 유도하는 단계일 수 있다.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.
즉, 자가훈련모드가 설정되면, 자가훈련모듈(210)을 동작시켜 자가훈련콘텐츠를 제공하면서 사용자의 자가훈련을 유도할 수 있다.That is, when the self-training mode is set, the self-training module 210 may be operated to induce the user's self-training while providing self-training contents.
예를 들면, 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부를 통해 사용자의 보행정보와 함께 자가훈련콘텐츠가 동시에 표시될 수 있고, 이때 표시되는 자가훈련콘텐츠는 사용자의 보행자세를 안내하기 위한 기준정보 즉, 정상보행자세와 상응하는 이미지에 해당할 수 있다.For example, 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.
결국, 사용자는 디스플레이부에 표시되는 자가훈련콘텐츠와 실제 보행자세 이미지를 서로 일치시키면서 보행자세를 자가 교정할 수 있다.As a result, the user can self-correct the gait while matching the self-training content displayed on the display unit with the actual gait image.
도 3에서와 같이, 자가훈련 수행 중 제어부(230)의 영상처리부를 통하여, 비젼센서부(111)로부터 촬영되는 보행 영상으로부터 시간 흐름에 따른 관절위치 이미지를 추출할 수 있고, 이렇게 추출된 시간별 관절위치를 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부에 실시간으로 표시할 수 있다.As shown in FIG. 3 , through the image processing unit of the controller 230 during self-training, 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 .
그리고, 도 5에서와 같이, 자가훈련 수행 중 제어부(230)의 압력신호처리부를 통하여, 압력센서부(112)로부터 측정되는 압력 값으로부터 시간 흐름에 따른 족저압의 압력분포 이미지를 추출할 수 있고, 이렇게 추출된 시간별 압력분포를 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부에 실시간으로 표시할 수 있다.And, as shown in FIG. 5, through the pressure signal processing unit of the control unit 230 during self-training, 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 .
이때, 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부에는 시간별 관절위치 및 시간별 압력분포와 함께 미리 설정된 기준정보 즉, 정상인의 보행자세정보와 상응하는 자가훈련콘텐츠가 함께 표시될 수 있다.At this 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. have.
여기서, 시간별 관절위치 및 시간별 압력분포가 함께 표시되는 기준정보로부터 설정된 허용오차를 초과할 경우에는, 디스플레이부를 통하여 사용자 또는 전문가에게 알려줄 수 있다.Here, when the joint position for each time and the pressure distribution for each time exceed the allowable error set from the reference information displayed together, the user or the expert may be notified through the display unit.
예를 들어, 시간별 관절위치 및 시간별 압력분포가 기준정보로부터 설정된 허용오차를 초과할 경우, 실시간으로 표시되는 시간별 관절위치 및 시간별 압력분포는 디스플레이부 상에서 표시색이 변경되거나 점등될 수 있다. 그리고, 부저 등의 알림음을 출력할 수도 있다. 이로 인하여 사용자 또는 전문가는 사용자의 부정확한 보행자세를 인지하고, 디스플레이부에 표시되는 시간별 관절위치 및 시간별 압력분포를 기준정보에 일치시키는 교정 동작을 효과적으로 수행할 수 있다.For example, when the joint position by time and pressure distribution by time exceed the allowable error set from the reference information, 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. 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 operation to match the joint position by time and pressure distribution by time displayed on the display unit to the reference information.
정밀진단 요청단계(S140)는 전문훈련모드 시, 사용자의 상태정보에 대한 전문가의 정밀진단을 요청하는 단계일 수 있다.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.
즉, 전문훈련모드가 설정되면, 전문훈련을 수행하기에 앞서 제어부(230)는 관리서버(300) 또는 전문가단말기(400) 측으로 사용자의 정밀진단을 위한 요청 신호를 송출할 수 있고, 이러한 정밀진단 요청 신호는 전문가단말기(400) 측으로 전송될 수 있다.That is, when the specialized training mode is set, the 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 .
정밀진단 수행단계(S150)는 진단유닛로부터 측정되는 사용자의 상태정보를 정밀 진단하는 단계일 수 있다.The precise diagnosis performing step S150 may be a step of precisely diagnosing the user's state information measured by the diagnosis unit.
즉, 정밀진단 신호가 사용자단말기(200) 또는 관리서버(300)로부터 수신되면, 전문가단말기(400)를 보유한 전문가는 앞서 측정된 사용자의 상태정보를 바탕으로 진단유닛(100)의 진단목록을 새롭게 설정할 수 있고, 새롭게 설정된 진단목록에 따라 사용자의 상태정보에 대한 정밀 진단을 요청할 수 있다.That is, when the precise diagnosis signal is received from the user terminal 200 or the management server 300 , 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.
이에 따라, 진단목록이 재설정된 진단유닛(100)을 이용하여 사용자의 상태정보를 정밀 진단하게 되고, 새롭게 진단된 사용자의 정밀진단정보는 관리서버(300)에 재업로드 및 저장될 수 있다.Accordingly, 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 .
예를 들어, 보행자세 진단유닛(110)을 이용하여 사용자의 보행 상태를 정밀진단할 경우, 보행자의 보행구간을 변경하거나 보행 난이도를 조절하는 것으로 진단목록을 새롭게 설정할 수 있고, 이로부터 사용자의 보행상태를 정밀 진단할 수 있다.For example, when the user's gait state is precisely diagnosed using the gait posture diagnosis unit 110, 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.
이러한 정밀진단 수행 중 제어부(230)의 영상처리부를 통하여 추출된 시간별 관절위치 이미지와, 제어부(230)의 압력신호처리부를 통하여 추출된 족저압의 시간별 압력분포 이미지는, 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부를 통하여 실시간으로 표시될 수 있다.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 .
전문훈련 수행단계(S160)는 사용자의 정밀진단정보를 바탕으로 사용자에게 전문훈련콘텐츠를 제공하면서 전문훈련을 유도하는 단계일 수 있다.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.
즉, 정밀진단이 완료되면, 전문가단말기(400)를 보유한 전문가는 관리서버(300)에 재업로드된 사용자의 정밀진단정보를 바탕으로 사용자의 상태정보를 재차 정밀 분석하고, 이를 기초로 전문훈련콘텐츠 저장부에 저장된 전문훈련콘텐츠의 난이도를 조절하여 새롭게 설정할 수 있다. 그리고 새롭게 설정된 전문훈련콘텐츠를 진단유닛(100) 또는 사용자단말기(200)의 디스플레이부에 출력할 수 있다.That is, when the detailed diagnosis is completed, 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. In addition, the newly set specialized training content may be output to the display unit of the diagnosis unit 100 or the user terminal 200 .
결국, 사용자는 출력되는 전문훈련콘텐츠를 바탕으로 전문훈련을 수행할 수 있다.As a result, the user can perform specialized training based on the output specialized training content.
전문훈련 수행 중 제어부(230)의 영상처리부를 통하여, 비젼센서부(111)로부터 촬영되는 보행 영상으로부터 시간 흐름에 따른 관절위치 이미지를 추출할 수 있고, 이렇게 추출된 시간별 관절위치를 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부에 실시간으로 표시할 수 있다.Through 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.
그리고, 자가훈련 수행 중 제어부(230)의 압력신호처리부를 통하여, 압력센서부(112)로부터 측정되는 압력 값으로부터 시간 흐름에 따른 족저압의 압력분포 이미지를 추출할 수 있고, 이렇게 추출된 시간별 압력분포를 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부에 실시간으로 표시할 수 있다.And, through 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 .
이때, 보행자세 진단유닛(110) 또는 사용자단말기(200)의 디스플레이부에는 시간별 관절위치 및 시간별 압력분포와 함께, 정상인의 보행자세정보에 상응하는 기준정보와, 전문훈련을 유도하기 위한 전문훈련콘텐츠가 함께 표시될 수 있다.At this time, 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.
여기서, 시간별 관절위치 및 시간별 압력분포가 함께 표시되는 기준정보 또는 전문훈련콘텐츠로부터 설정된 허용오차를 초과할 경우에는, 디스플레이부를 통하여 사용자 또는 전문가에게 알려줄 수 있다.Here, when 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.
예를 들어, 시간별 관절위치 및 시간별 압력분포가 기준정보 또는 전문훈련콘텐츠로부터 설정된 허용오차를 초과할 경우, 실시간으로 표시되는 시간별 관절위치 및 시간별 압력분포는 디스플레이부 상에서 표시색이 변경되거나 점등될 수 있다. 그리고, 부저 등의 알림음을 출력할 수도 있다. 이로 인하여 사용자 또는 전문가는 사용자의 부정확한 보행자세를 인지하고, 디스플레이부에 표시되는 시간별 관절위치 및 시간별 압력분포를 기준정보 또는 전문훈련콘텐츠에 일치시키는 교정 동작을 효과적으로 수행할 수 있다.For example, if the joint position by time and pressure distribution by time exceed the allowable error set from the reference information or specialized training contents, 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.
한편, 진단유닛(100)을 통해 획득된 사용자의 상태정보, 정밀진단정보, 자가훈련 이력정보, 및 전문훈련 이력정보는 관리서버(300)에 저장되어 관리될 수 있다.Meanwhile, 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 .
그리고, 전문가단말기(400)를 보유한 전문가는 관리서버(300)에 관리되는 사용자의 이력정보를 바탕으로, 전술한 일련의 재활 진단 및 훈련을 수행 중인 사용자의 재활 치료 개선이 미비하다고 판단되면, 전문병원 방문요청 등의 별도의 전문 재활 치료를 수행할 수도 있다.And, if 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.
이상에서와 같이 본 발명에 따른 재활 진단 훈련 시스템은 사용자단말기(200), 관리서버(300) 및 전문가단말기(400)를 이용한 홈 헬스 케어 플랫폼을 통하여, 전문병원이 아니더라도 사용자 스스로가 자가 측정 및 자가 진단을 수행할 수 있을뿐만 아니라, 의심 증상에 대한 자가 재활 훈련을 효과적으로 수행할 수 있다.As described above, the rehabilitation diagnosis training system according to the present invention 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 . In addition to being able to carry out diagnosis, it is possible to effectively perform self-rehabilitation training for suspected symptoms.
그리고, 상대적으로 중증 환자에 대해서는 온라인 접속 가능한 전문가의 의견이나 전문 검사프로그램을 이용하여 중증 환자의 상태를 보다 정밀하게 진단할 수 있고, 그에 따른 전문훈련 프로그램을 제안함으로써, 홈 헬스 케어 서비스를 통한 재활 훈련 및 치료 효과를 더욱 높일 수 있다.In addition, for relatively seriously ill patients, it is possible to more precisely diagnose the condition of seriously ill patients by using expert opinions or specialized examination programs that can be accessed online. Training and treatment can be more effective.
상술한 바와 같이 도면을 참조하여 본 발명의 바람직한 실시예를 설명하였지만, 해당 기술 분야의 숙련된 당업자라면, 하기의 청구범위에 기재된 본 발명의 사상 및 영역으로부터 벗어나지 않는 범위 내에서 본 발명을 다양하게 수정 또는 변경시킬 수 있다.Although the preferred embodiment of the present invention has been described with reference to the drawings as described above, those skilled in the art may vary the present invention in various ways without departing from the spirit and scope of the present invention as set forth in the following claims. may be modified or changed.
본 발명은 사용자단말기, 관리서버 및 전문가단말기를 이용한 홈 헬스 케어 플랫폼을 통하여, 전문 병원이 아니더라도 사용자 스스로가 자가 측정 및 자가 진단을 수행할 수 있을뿐만 아니라, 의심 증상에 대한 자가 재활 훈련을 수행할 수 있고, 필요에 따라 전문가의 의견이나 전문 검사프로그램을 이용한 정밀 진단 및 전문 재활 치료를 효과적으로 수행할 수 있기에, 홈 헬스 케어 서비스와 같은 다양한 재활 분야에서 널리 사용될 수 있다.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.

Claims (7)

  1. 사용자의 상태를 측정하기 위한 진단유닛;a diagnostic unit for measuring the user's condition;
    사용자에게 자가훈련콘텐츠를 제공하면서 자가훈련을 유도하는 자가훈련모듈과, 사용자에게 전문훈련콘텐츠를 제공하면서 전문훈련을 유도하는 전문훈련모듈, 및 상기 진단유닛으로부터 측정된 사용자의 상태정보를 바탕으로 상기 자가훈련모듈 또는 상기 전문훈련모듈을 제어하는 제어부를 가지는 사용자단말기;A self-training module for inducing self-training while providing self-training contents to the user, a specialized training module for guiding professional training while providing professional training contents to the 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;
    상기 진단유닛으로부터 진단된 사용자의 상태정보와, 상기 자가훈련모듈을 통하여 수행된 사용자의 자가훈련정보 및 상기 전문훈련모듈을 통하여 수행된 사용자의 전문훈련정보가 저장 및 관리되는 관리서버; 그리고,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,
    상기 관리서버에 저장된 사용자의 상태정보를 바탕으로 상기 진단유닛의 진단목록을 설정하거나 상기 전문훈련콘텐츠를 설정하는 전문가단말기;를 포함하는 것을 특징으로 하는 재활 진단 훈련 시스템.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.
  2. 제1항에 있어서,According to claim 1,
    상기 제어부는, 상기 진단유닛에서 측정된 사용자의 상태정보와 미리 설정된 기준정보를 비교하여 증상레벨에 따른 자가훈련모드와 전문훈련모드 중 어느 하나의 모드를 설정하는 모드판단부를 구비하고, 상기 전문훈련모드 시 상기 관리서버 또는 상기 전문가단말기 측으로 사용자의 정밀진단을 위한 신호를 송신하며,The control unit includes a mode determination unit configured to compare the user's state information measured by the diagnosis unit with preset reference information to set any one of a self-training mode and a specialized training mode according to the symptom level, the specialized training In mode, a signal for precise diagnosis of the user is transmitted to the management server or the expert terminal side,
    상기 전문가단말기는, 상기 제어부로부터 정밀진단 신호가 수신되면, 상기 관리서버에 저장된 사용자의 상태정보를 바탕으로 상기 진단유닛의 진단목록을 재설정하거나, 사용자에게 제공되는 상기 전문훈련콘텐츠를 재설정하는 것을 특징으로 하는 재활 진단 훈련 시스템.When the precise diagnosis signal is received from the control unit, 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 Rehabilitation diagnosis training system.
  3. 제1항에 있어서,According to claim 1,
    상기 진단유닛은 사용자의 보행자세를 측정하기 위한 보행자세 진단유닛을 포함하고,The diagnosis unit includes a gait diagnosis unit for measuring the user's gait,
    상기 보행자세 진단유닛은 설정된 보행구간을 보행하는 사용자의 보행 영상을 촬영하기 위한 비션센서부와, 보행 중인 사용자의 발바닥으로부터 전해지는 압력을 측정하기 위한 압력센서부를 포함하는 것을 특징으로 하는 재활 진단 훈련 시스템.The gait diagnosis unit comprises a vision sensor unit for photographing a gait image of a user walking in a set gait section, and a pressure sensor unit for measuring pressure transmitted from the sole of the user while walking. system.
  4. 제3항에 있어서,4. The method of claim 3,
    상기 제어부는,The control unit is
    미리 설정된 기준정보와, 상기 비션센서부로부터 촬영된 영상정보, 및 상기 압력센서부로부터 측정된 압력정보를 디스플레이부에 표시하고,Displaying preset reference information, image information photographed from the vision sensor unit, and pressure information measured from the pressure sensor unit on the display unit,
    상기 영상정보 및 상기 압력정보가 상기 기준정보로부터 설정된 허용오차를 벗어날 경우, 상기 디스플레이부를 통하여 사용자에게 알려주는 것을 특징으로 하는 재활 진단 훈련 시스템.Rehabilitation diagnosis training system, characterized in that when the image information and the pressure information deviates from the allowable error set from the reference information, notifying the user through the display unit.
  5. 제3항에 있어서,4. The method of claim 3,
    상기 압력센서부는,The pressure sensor unit,
    보행자가 착용하는 신발의 좌우측 깔창에 각각 구비되며,It is provided on the left and right insoles of shoes worn by pedestrians, respectively.
    각각의 상기 깔창의 전후방향 및 좌우방향으로 구획된 복수의 영역에 가해지는 단위압력을 측정하는 복수개의 압력센서와,A plurality of pressure sensors for measuring the unit pressure applied to a plurality of regions partitioned in the front-rear and left-right directions of each of the insoles,
    각각의 상기 압력센서로부터 측정되는 압력신호를 증폭시키는 증폭부와,an amplifying unit for amplifying the pressure signal measured from each of the pressure sensors;
    증폭된 압력신호의 유효한 신호를 제외한 나머지 신호를 필터링하는 노이즈필터부와,A noise filter unit for filtering the remaining signals except for the effective signal of the amplified pressure signal;
    필터링된 압력신호를 상기 사용자단말기 또는 상기 관리서버로 송신하는 통신부를 포함하는 것을 특징으로 하는 재활 진단 훈련 시스템.Rehabilitation diagnosis training system comprising a communication unit for transmitting the filtered pressure signal to the user terminal or the management server.
  6. 재활 진단 훈련 방법으로서,A rehabilitation diagnostic training method comprising:
    진단유닛을 이용하여 사용자의 상태를 측정하는 상태정보 측정단계;a state information measurement step of measuring a user's state using the diagnosis unit;
    측정된 사용자의 상태정보를 바탕으로 자가훈련모드 또는 전문훈련모드를 설정하는 훈련모드 설정단계;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;
    상기 자가훈련모드 시, 사용자에게 자가훈련콘텐츠를 제공하면서 자가훈련을 유도하는 자가훈련 수행단계;Self-training performing step of inducing self-training while providing self-training contents to the user in the self-training mode;
    상기 전문훈련모드 시, 사용자의 상태정보에 대한 전문가의 정밀진단을 요청하는 정밀진단 요청단계;a precise diagnosis requesting step of requesting an expert's precise diagnosis for the user's state information in the specialized training mode;
    상기 진단유닛을 이용하여 사용자의 상태를 정밀 진단하는 정밀진단 수행단계; 그리고,a precise diagnosis performing step of precisely diagnosing the user's condition using the diagnosis unit; and,
    정밀 진단된 사용자의 정밀진단정보를 바탕으로 사용자에게 전문훈련콘텐츠를 제공하면서 전문훈련을 유도하는 전문훈련 수행단계;를 포함하는 것을 특징으로 하는 재활 진단 훈련 방법.Rehabilitation diagnosis training method comprising: 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.
  7. 제6항에 있어서,7. The method of claim 6,
    상기 진단유닛은, 사용자의 보행 영상을 촬영하기 위한 비젼센서부와, 보행 중인 사용자의 발바닥으로부터 전해지는 압력을 측정하기 위한 압력센서부를 구비하는 보행자세 진단유닛을 포함하고,The diagnosis unit includes a gait posture diagnosis unit having 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,
    상기 자가훈련 수행단계 또는 상기 전문훈련 수행단계는,The self-training performing step or the specialized training performing step is,
    상기 비젼센서부로부터 촬영되는 보행 영상으로부터 시간별 관절위치를 추출하여, 추출된 시간별 관절위치를 디스플레이부에 표시하고,Extracting joint positions by time from the gait image taken from the vision sensor unit, and displaying the extracted joint positions by time on the display unit,
    상기 압력센서부로부터 측정되는 압력 값으로부터 시간별 압력분포를 추출하여, 추출된 시간별 압력분포를 상기 디스플레이부에 표시하며,Extracting the pressure distribution by time from the pressure value measured by the pressure sensor unit, and displaying the extracted pressure distribution by time on the display unit,
    상기 시간별 관절위치 및 상기 시간별 압력분포가 미리 설정된 기준정보로부터 설정된 허용오차를 초과할 경우 상기 디스플레이부를 통하여 사용자 또는 전문가에게 알려주는 것을 특징으로 하는 재활 진단 훈련 방법.Rehabilitation diagnosis training method, characterized in that when the joint position for each time and the pressure distribution for each time exceed a tolerance set from preset reference information, notifying a user or a specialist through the display unit.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115300290A (en) * 2022-08-05 2022-11-08 复旦大学附属中山医院 Auxiliary muscle relaxation method

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102525236B1 (en) * 2022-12-12 2023-04-25 주식회사 엠쓰리솔루션 Sensor-based cognitive and motor rehabilitation service provision system using metaverse

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR19990004305A (en) * 1997-06-27 1999-01-15 이홍지 Posture balance rehabilitation training method
KR20170135459A (en) * 2016-05-31 2017-12-08 울산과학기술원 Rehabilitation training apparatus for an arm
KR20180009473A (en) * 2016-07-19 2018-01-29 전북대학교산학협력단 Realization type rehabilitation system based on dynamic postural balance
KR20190081350A (en) * 2017-12-29 2019-07-09 (주)동아금속 Monitoring system of walking balance for lower limb rehabilitation
KR20200036838A (en) * 2020-03-30 2020-04-07 최동훈 System for rehabilitation treatment based on virtual reality(vr) and how to provide virtual reality-based rehabilitation contents to rehabilitation patients using the same system
JP2020198993A (en) * 2019-06-07 2020-12-17 トヨタ自動車株式会社 Rehabilitation training system and rehabilitation training evaluation program

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101119904B1 (en) * 2010-11-02 2012-02-29 이진욱 Insole sheet for walk diagnosis, shoes system for walk diagnosis using thereof, and diagnosis service system for walk posture
KR20150106774A (en) * 2014-03-12 2015-09-22 삼성전자주식회사 Posture analysis device and operating method thereof
KR101567859B1 (en) 2014-12-31 2015-11-12 건양대학교산학협력단 System for rehabilitation exercise using user motion
KR20180075810A (en) * 2016-12-27 2018-07-05 경북대학교 산학협력단 System and method for proofreading of gait
KR101902551B1 (en) * 2018-06-11 2018-09-28 정재훈 Malalignment syndrome diagnosis apparatus based on plantar pressure and body movement and method thereof

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR19990004305A (en) * 1997-06-27 1999-01-15 이홍지 Posture balance rehabilitation training method
KR20170135459A (en) * 2016-05-31 2017-12-08 울산과학기술원 Rehabilitation training apparatus for an arm
KR20180009473A (en) * 2016-07-19 2018-01-29 전북대학교산학협력단 Realization type rehabilitation system based on dynamic postural balance
KR20190081350A (en) * 2017-12-29 2019-07-09 (주)동아금속 Monitoring system of walking balance for lower limb rehabilitation
JP2020198993A (en) * 2019-06-07 2020-12-17 トヨタ自動車株式会社 Rehabilitation training system and rehabilitation training evaluation program
KR20200036838A (en) * 2020-03-30 2020-04-07 최동훈 System for rehabilitation treatment based on virtual reality(vr) and how to provide virtual reality-based rehabilitation contents to rehabilitation patients using the same system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115300290A (en) * 2022-08-05 2022-11-08 复旦大学附属中山医院 Auxiliary muscle relaxation method
CN115300290B (en) * 2022-08-05 2023-12-22 青岛凯尔智能医疗设备有限公司 Muscle relaxing auxiliary method

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