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WO2024112141A1 - Appareil et procédé pour fournir un service d'exercice de rééducation cardiaque personnalisé par l'utilisateur sur la base d'une analyse de mouvement - Google Patents

Appareil et procédé pour fournir un service d'exercice de rééducation cardiaque personnalisé par l'utilisateur sur la base d'une analyse de mouvement Download PDF

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Publication number
WO2024112141A1
WO2024112141A1 PCT/KR2023/019071 KR2023019071W WO2024112141A1 WO 2024112141 A1 WO2024112141 A1 WO 2024112141A1 KR 2023019071 W KR2023019071 W KR 2023019071W WO 2024112141 A1 WO2024112141 A1 WO 2024112141A1
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WIPO (PCT)
Prior art keywords
exercise
user
motion
prescription
point
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English (en)
Korean (ko)
Inventor
이현민
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L&h Labs Inc
Industry Academic Cooperation Foundation of Honam University
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L&h Labs Inc
Industry Academic Cooperation Foundation of Honam University
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Publication of WO2024112141A1 publication Critical patent/WO2024112141A1/fr
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—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
    • 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

Definitions

  • the present invention relates to a technology for providing user-tailored cardiac rehabilitation exercise services. More specifically, the present invention relates to a user-tailored cardiac rehabilitation service based on motion analysis that provides specialized cardiac rehabilitation services to patients with heart disease to recognize and periodically manage the risk of recurrence. It relates to a device and method for providing rehabilitation exercise services.
  • Cardiac rehabilitation prevents recurrence and complications through multifaceted education on nutrition, risk factor control, and improvement of medication compliance, including exercises to strengthen the heart muscle and cardiopulmonary endurance of patients with heart and vascular diseases such as angina, myocardial infarction, and heart failure.
  • the participation rate is low.
  • One embodiment of the present invention seeks to provide an apparatus and method for providing user-tailored cardiac rehabilitation exercise services based on motion analysis that can recognize the risk of recurrence in advance and manage it periodically by providing specialized cardiac rehabilitation services to patients with heart disease.
  • One embodiment of the present invention uses motion analysis technology to monitor exercise movements given in exercise prescriptions and provides differentiated services to users through quantitative evaluation of physical fitness levels, thereby reducing the recurrence rate and promoting health.
  • One embodiment of the present invention is a motion analysis that can increase the patient's participation rate and accessibility to rehabilitation by performing rehabilitation exercises to improve cardiac function by receiving exercise prescriptions regardless of time and place without the patient directly visiting the hospital.
  • the purpose is to provide a device and method for providing user-based cardiac rehabilitation exercise services.
  • the motion analysis-based user-customized cardiac rehabilitation exercise service providing device includes an exercise prescription determination unit that determines the user's exercise prescription, detects the starting point and end point of the exercise motion given in the exercise prescription, and performs the given exercise motion.
  • An exercise motion processing unit that determines the recovery point of the exercise motion, which is defined as a specific point in time afterward, a biosignal collection unit that collects biosignals at each of the start and end points, and the amount of change in biosignals according to the start and end point of the exercise motion.
  • an exercise prescription monitoring unit that determines the recovery amount of the biosignal at the recovery point of the exercise motion
  • an exercise prescription processing unit that determines whether to modify the exercise prescription based on the change amount and recovery amount of the biosignal.
  • the exercise prescription determination unit determines an exercise prescription for the user based on user profile information including at least one of the user's age, gender, weight, physical strength level, and health status-related questionnaire information and the user's electrocardiogram measurement information. You can.
  • the exercise prescription determination unit may determine a user fitness score based on the user profile information and the electrocardiogram measurement information, generate an exercise prescription according to the user fitness score, and provide rehabilitation exercise content according to the exercise prescription to the user terminal. .
  • the exercise motion processing unit measures the movement of a user performing a given exercise motion through a wearable device worn by the user, analyzes the exercise motion, and determines the starting and end postures of the given exercise motion through analysis of the exercise motion. And the end point may be detected, and a specific point in time when the range of motion increases in the section where the posture of the exercise movement is performed based on the start and end point may be determined as the recovery point.
  • the exercise prescription processing unit decides to modify the exercise prescription, it may modify the exercise prescription including exercise movements that the user can perform and transmit it to the user terminal.
  • a method of providing a user-customized cardiac rehabilitation exercise service based on motion analysis includes the steps of determining a user's exercise prescription, detecting the starting point and end point of a given exercise motion in the exercise prescription, and a specific time point after performing the given exercise motion. Determining the recovery point of the exercise movement, which is defined as, collecting bio-signals at each of the start and end points, determining the amount of change in the bio-signal according to the passage of the start and end point of the exercise movement, It includes determining a recovery amount of the bio-signal at the recovery point, and determining whether to modify the exercise prescription based on the change amount and recovery amount of the bio-signal.
  • the disclosed technology can have the following effects. However, since it does not mean that a specific embodiment must include all of the following effects or only the following effects, the scope of rights of the disclosed technology should not be understood as being limited thereby.
  • An apparatus and method for providing user-customized cardiac rehabilitation exercise services based on motion analysis can provide specialized cardiac rehabilitation services to patients with heart disease, thereby recognizing and periodically managing the risk of recurrence.
  • An apparatus and method for providing a user-customized cardiac rehabilitation exercise service based on motion analysis can monitor exercise movements given in exercise prescriptions using motion analysis technology and provide information about the user through quantitative evaluation of physical fitness level. By providing differentiated services, we can lower the recurrence rate and promote health.
  • An apparatus and method for providing user-customized cardiac rehabilitation exercise services based on motion analysis allows patients to receive exercise prescriptions and perform rehabilitation exercises to improve cardiac function regardless of time and place without directly visiting the hospital. By doing so, the participation rate and accessibility of patients' own rehabilitation can be increased.
  • FIG. 1 is a diagram illustrating a system for providing user-customized cardiac rehabilitation exercise services based on motion analysis according to the present invention.
  • FIG. 2 is a diagram illustrating the system configuration of the cardiac rehabilitation exercise service providing device shown in FIG. 1.
  • FIG. 3 is a diagram illustrating the functional configuration of the cardiac rehabilitation exercise service providing device in FIG. 1.
  • Figure 4 is a flow chart illustrating a method of providing a user-customized cardiac rehabilitation exercise service based on motion analysis according to the present invention.
  • first and second are used to distinguish one component from another component, and the scope of rights should not be limited by these terms.
  • a first component may be named a second component, and similarly, the second component may also be named a first component.
  • identification codes e.g., a, b, c, etc.
  • the identification codes do not explain the order of each step, and each step clearly follows a specific order in context. Unless specified, events may occur differently from the specified order. That is, each step may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the opposite order.
  • the present invention can be implemented as computer-readable code on a computer-readable recording medium
  • the computer-readable recording medium includes all types of recording devices that store data that can be read by a computer system.
  • Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices. Additionally, the computer-readable recording medium can be distributed across computer systems connected to a network, so that computer-readable code can be stored and executed in a distributed manner.
  • FIG. 1 is a diagram illustrating a system for providing user-customized cardiac rehabilitation exercise services based on motion analysis according to the present invention.
  • the motion analysis-based user-customized cardiac rehabilitation exercise service providing system 100 includes a user terminal 110, a wearable device 130, a cardiac rehabilitation exercise service providing device 150, and a database 170. can do.
  • the user terminal 110 may correspond to a computing device that can check and use cardiac rehabilitation exercise services in conjunction with the wearable device 130, and may be implemented as a smartphone, laptop, or computer, but is not necessarily limited thereto, It can also be implemented with various devices such as tablet PCs.
  • the user terminal 110 may be connected to the cardiac rehabilitation exercise service providing device 150 through a network, and a plurality of user terminals 110 may be simultaneously connected to the cardiac rehabilitation exercise service providing device 150.
  • the user terminal 110 may request connection with the wearable device 130 and install and execute a dedicated program or application for linking with the cardiac rehabilitation exercise service providing device 150.
  • a dedicated program or application may be implemented to access the motion analysis-based user-customized cardiac rehabilitation exercise service provision system 100 and connect to the wearable device 130 or provide a motion analysis-based user-customized cardiac rehabilitation exercise service. and can be implemented including various functions as needed.
  • the wearable device 130 is a computing device that can be connected to the user terminal 110 and the cardiac rehabilitation exercise service providing device 150 through a network.
  • the wearable device 130 includes a watch type, an accessory type, a fabric/clothing type, and a body type. It is implemented as a wearable device that can be worn by the user, such as an attachment type or a bioimplant type, and can measure the user's biological signals periodically or aperiodically, but is not limited to this and is implemented as a portable device. Biosignals can also be measured under user control.
  • the wearable device 130 contacts the user's body or penetrates a specific body to measure heart rate, electrocardiogram (ECG) related to heartbeat, ballistic chart (BCG) related to heartbeat dynamics, stress, sleep time, It can generate biosignals including at least one of activity level, blood pressure, and diabetes, and can be implemented with sensor modules that sense each. Additionally, the wearable device 130 may include various sensors to measure the user's movements.
  • ECG electrocardiogram
  • BCG ballistic chart
  • the wearable device 130 may include various sensors to measure the user's movements.
  • the user terminal 110 and the wearable device 130 may be implemented as mutually independent computing devices, but are not necessarily limited to this and may be integrated into one computing device.
  • the cardiac rehabilitation exercise service providing device 150 may be implemented as a server corresponding to a computer or program that performs the motion analysis-based user-customized cardiac rehabilitation exercise service providing method according to the present invention.
  • the cardiac rehabilitation exercise service providing device 150 may be connected to the user terminal 110 and the wearable device 130 through a wired network or a wireless network such as Bluetooth, WiFi, LTE, etc., and may exchange information through the network. .
  • the cardiac rehabilitation exercise service providing device 150 may be implemented to operate in connection with an independent external system (not shown in FIG. 1) to provide cardiac rehabilitation exercise services.
  • the cardiac rehabilitation exercise service providing device 150 may be implemented as a cloud server and can meet various needs of consumers regarding big data analysis and cardiac rehabilitation exercise services through cloud services.
  • the database 170 may correspond to a storage device that stores various information required during the operation of the cardiac rehabilitation exercise service providing device 150.
  • the database 170 may store information about the user's exercise prescription and performance of the exercise prescription, but is not necessarily limited thereto, and may be stored in various forms in the process of providing a user-customized cardiac rehabilitation exercise service based on motion analysis. Collected or processed information can be stored.
  • the database 170 is shown as a device independent of the cardiac rehabilitation exercise service providing device 150, but is not necessarily limited thereto, and is a logical storage device that is attached to the cardiac rehabilitation exercise service providing device 150. Of course, it can be included and implemented.
  • FIG. 2 is a diagram illustrating the system configuration of the cardiac rehabilitation exercise service providing device shown in FIG. 1.
  • the cardiac rehabilitation exercise service providing device 150 may include a processor 210, a memory 230, a user input/output unit 250, and a network input/output unit 270.
  • the processor 210 can execute a cardiac rehabilitation exercise service provision procedure according to an embodiment of the present invention, and manage the memory 230 that is read or written in this process, and the volatile memory and Synchronization times between non-volatile memories can be scheduled.
  • the processor 210 can control the overall operation of the cardiac rehabilitation exercise service providing device 150 and is electrically connected to the memory 230, the user input/output unit 250, and the network input/output unit 270 to flow data between them. can be controlled.
  • the processor 210 may be implemented as a CPU (Central Processing Unit) or GPU (Graphics Processing Unit) of the cardiac rehabilitation exercise service providing device 150.
  • the memory 230 is implemented as a non-volatile memory such as a solid state disk (SSD) or a hard disk drive (HDD) and may include an auxiliary memory device used to store all data required for the cardiac rehabilitation exercise service providing device 150. and may include a main memory implemented as volatile memory such as RAM (Random Access Memory). Additionally, the memory 230 can store a set of instructions for executing the method for providing cardiac rehabilitation exercise services according to the present invention by being executed by the electrically connected processor 210.
  • SSD solid state disk
  • HDD hard disk drive
  • RAM Random Access Memory
  • the user input/output unit 250 includes an environment for receiving user input and an environment for outputting specific information to the user, and includes an input adapter such as, for example, a touch pad, a touch screen, an on-screen keyboard, or a pointing device. It may include an output device including a device and an adapter such as a monitor or touch screen.
  • the user input/output unit 250 may correspond to a computing device connected through a remote connection, and in such case, the cardiac rehabilitation exercise service providing device 150 may be performed as an independent server.
  • the network input/output unit 270 provides a communication environment for connection to the user terminal 110 through a network, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), and It may include an adapter for communication such as VAN (Value Added Network). Additionally, the network input/output unit 270 may be implemented to provide short-range communication functions such as WiFi and Bluetooth or wireless communication functions of 4G or higher for wireless transmission of learning data.
  • LAN local area network
  • MAN metropolitan area network
  • WAN wide area network
  • VAN Value Added Network
  • the network input/output unit 270 may be implemented to provide short-range communication functions such as WiFi and Bluetooth or wireless communication functions of 4G or higher for wireless transmission of learning data.
  • FIG. 3 is a diagram illustrating the functional configuration of the cardiac rehabilitation exercise service providing device in FIG. 1.
  • the cardiac rehabilitation exercise service providing device 150 includes an exercise prescription determination unit 310, an exercise motion processing unit 330, a biological signal collection unit 350, an exercise prescription monitoring unit 370, and an exercise prescription processing unit. It may include 390 and a control unit (not shown).
  • the exercise prescription determination unit 310 may determine the user's exercise prescription.
  • An exercise prescription is a method that selects the type and form of exercise considering an individual's physical strength level, health condition, age, etc. for the purpose of improving physical strength and maintaining and promoting health, and specifically suggests how the quality and quantity should be performed. means that In the case of patients with heart disease, the level of risk for exercise prescription for heart disease can be determined through a thorough examination, and then the exercise intensity, number of exercises, exercise time, exercise type, and degree of exercise progress can be determined. Exercise intensity takes into account the safety and effectiveness of the heart and allows you to know the heart rate (or pulse) per minute during exercise.
  • Exercise time is determined depending on the condition of the heart and the degree of recovery from heart disease.
  • Types of exercise include aerobic exercise that uses a lot of oxygen, and in daily life, walking, hiking, and swimming are included, and exercise equipment includes treadmills, bicycles, steppers (stair climbing), and arm rotation.
  • the exercise prescription determination unit 310 may determine an exercise prescription for the user based on user profile information and electrocardiogram information.
  • the user profile information may include at least one of age, gender, weight, physical strength level, and health status-related questionnaire information.
  • the exercise prescription determination unit 310 may receive user profile information through the user terminal 110. Additionally, the exercise prescription determination unit 310 can measure an electrocardiogram (ECG) through the user terminal 110 or the wearable device 130 and collect ECG information as a measurement result.
  • ECG electrocardiogram
  • the user's ECG information may be information measured by running an ECG app installed on the user terminal 110 or the wearable device 130.
  • the exercise prescription determination unit 310 may determine a user fitness score based on user profile information and electrocardiogram information and generate an exercise prescription according to the user fitness score.
  • the exercise prescription decision unit 310 may provide rehabilitation exercise content according to the exercise prescription to the user terminal 110.
  • the rehabilitation exercise content may correspond to various exercise image content for each exercise prescription implemented to support rehabilitation exercise for heart disease patients.
  • rehabilitation exercise content may include various exercise content such as stretching for each body part, strength exercise using tools, and aerobic exercise, as well as cardiac rehabilitation training content based on the Cardiac Rehabilitation Society and ACSM guidelines.
  • Exercise content according to the exercise prescription determined for the user may be displayed through the user terminal 110, and at this time, the user can perform the exercise movement given in the exercise prescription by moving the body according to the guidelines of the exercise image.
  • the exercise motion processing unit 330 may detect the starting point and end point of the exercise motion given in the exercise prescription and determine the recovery point of the exercise motion, which is defined as a specific time point after performance of the given exercise motion.
  • the exercise motion processing unit 330 may perform motion analysis by measuring the movement of a user performing rehabilitation exercise through a wearable device 130 worn by the user.
  • the wearable device 130 may be implemented including various sensors to measure the user's movements.
  • sensors for measuring user movement may include gyro, acceleration, GPS, IMU sensors, etc., but are not necessarily limited thereto.
  • User movement measurement sensors can be installed in variable locations and numbers in order to effectively measure the movements of users performing rehabilitation exercises.
  • the exercise motion processing unit 330 may measure the movement of a user performing rehabilitation exercise from the wearable device 130 and analyze the exercise motion.
  • the exercise motion processing unit 330 may determine the recovery point of the exercise motion by detecting the starting point and end point of the exercise motion given to the user as an exercise prescription as a result of the analysis of the exercise motion.
  • the exercise motion processing unit 330 presets key points and sections for exercise motion analysis when performing exercise motions given as exercise prescriptions and extracts features from the received user's motion signal to determine the start and end points of the exercise. It can be detected.
  • the main time point is the moment of maximum extension before starting the exercise as extension 1, the moment of maximum flexion as flexion time, and the moment of maximum extension again as extension 2.
  • the section can be set as the flexion section between the extension 1 time point and the flexion time point, and the extension section between the flexion time point and the extension 2 time point based on the three time points.
  • the standing position before starting the exercise is the point of extension 1
  • the lying position after starting the exercise is the point of flexion (end point of extension 1)
  • the section transitioning from the standing position before starting the exercise to the lying position (point of extension 2) corresponds to the flexion section.
  • the exercise motion processing unit 330 may classify rehabilitation stages according to the time and state after the user's heart disease onset and specify a posture for detecting the start and end point of the exercise motion for each rehabilitation stage. For example, the exercise motion processing unit 330 may divide the cardiac rehabilitation stages into an acute stage, a recovery stage, and a maintenance stage. In the case of acute patients, they may feel dizzy or faint due to changes in blood pressure when standing up from lying down, so they should change their position from supine to standing. It is gradually increased using a tilt table. The exercise motion processing unit 330 may detect the starting point and end point of the exercise motion for the posture set according to the user's rehabilitation stage and determine the recovery point of the exercise motion.
  • the exercise motion processing unit 330 may perform exercise motion analysis through sensor measurements of the wearable device 130 to detect the starting point and end point while the user performs the exercise motion given in the exercise prescription.
  • the starting and ending points of the exercise movement refer to the starting and ending postures of a specific movement and can be detected for each movement.
  • the exercise motion processing unit 330 may determine a specific point in the section where the range of motion increases in the section where the posture of the exercise motion is performed based on the time point and end point detected after performing the exercise motion as the recovery point of the exercise motion. That is, the exercise motion processing unit 330 can extract user-centered exercise information according to the exercise prescription through analysis of the exercise motion of the user performing the exercise motion given in the exercise prescription.
  • the bio-signal collection unit 350 can collect bio-signals at each start and end point of an exercise operation.
  • the bio-signal collection unit 350 detects the exercise motion at that point and end point through the wearable device 130 worn by the user. It is possible to collect biometric signals of the user performing the exercise.
  • the user's biosignal may include the user's heart rate, and may optionally further include electrocardiogram (ECG) data, stress index, etc.
  • ECG electrocardiogram
  • An electrocardiogram (ECG) is a test that records the interval and intensity of the electrical signal that causes the heart to beat.
  • An electrical heart rate sensor can be used to record your heartbeat, and then the recording can be used to determine whether atrial fibrillation, a form of irregular heartbeat, is occurring. Stress is measured through heart rate variability (HRV) testing.
  • HRV heart rate variability
  • the periodic change in heart rate over time is called heart rate variability (HRV), which is an evaluation tool that can track the homeostatic control mechanism of the autonomic nervous system in response to internal and external environmental factors.
  • HRV heart rate variability
  • the interval between heartbeats (RR interval) measures constant changes, and by analyzing minute changes in heartbeat as waveforms, the body's autonomic nervous response to stress is visualized and the current state of health and psychophysiological stability are determined. You can check it. In particular, it is possible to measure emotions, body temperature, body position, lighting, dysautonomia, cardiovascular disease, neuropathy, stress, and aging.
  • the bio-signal collection unit 350 may collect bio-signals including at least one of the user's heart rate data, electrocardiogram data, and stress index measurement value.
  • the exercise prescription monitoring unit 370 may determine the amount of change in the biosignal according to the start and end point of the exercise motion and determine the recovery amount of the biosignal at the recovery point of the exercise motion. In one embodiment, the exercise prescription monitoring unit 370 may determine the amount of change in the biosignal by comparing the biosignal collected at each starting and endpoint of the exercise operation. Here, the exercise prescription monitoring unit 370 can analyze the change trend in the user's heart rate or electrocardiogram according to the time of the start and end point of the exercise movement and determine the amount of change in the user's upper body signal as a result of the analysis.
  • the exercise prescription monitoring unit 370 may monitor the user's exercise prescription performance process by collecting bio-signals of the user performing the exercise movement given by the exercise prescription.
  • the exercise prescription monitoring unit 370 may analyze heart rate variation by determining the heart rate at that moment based on the interval between the start and end points of the exercise operation in the user's electrocardiogram measured during the user's exercise prescription performance. there is.
  • the exercise prescription monitoring unit 370 may determine the amount of change in biosignals as at least one of average RR, average heart rate (HR), and minimum and maximum HR. Additionally, the exercise prescription monitoring unit 370 may determine the amount of bio-signal recovery at the recovery point of the exercise motion determined by the exercise motion processing unit 330.
  • the exercise prescription monitoring unit 370 can perform deep learning analysis of the user's biosignal measured at the time of recovery of the exercise motion and predict the user's biometric change to determine the recovery amount of the biosignal.
  • the exercise prescription monitoring unit 370 applies the biosignals at the time determined as the recovery point of the exercise movement among the biosignals measured while the user performs the exercise movement given by the exercise prescription to a pre-implemented deep learning model to calculate the time
  • the amount of biosignal recovery can be determined.
  • the recovery amount of biosignals can be determined by a number in a specific range, for example, 0 to 5, and the risk for exercise prescription for heart disease can be determined depending on the number of recovery amounts.
  • the exercise prescription processing unit 390 may determine whether to modify the exercise prescription based on the amount of change and recovery of the biosignal. When the exercise prescription processing unit 390 determines to modify the exercise prescription, it may modify the exercise prescription including exercise movements that the user can perform and transmit it to the user terminal 110. The exercise prescription processing unit 390 may modify the exercise prescription provided to the user according to the exercise prescription monitoring results of the exercise prescription monitoring unit 370 and provide the modified exercise prescription to the user terminal 110. The exercise prescription processing unit 390 determines the user's biological situation based on the amount of change and recovery of the biosignal, modifies the exercise prescription according to the user's biological situation, and provides a user-centered personalized exercise prescription to the user terminal 110. and evaluate the performance of exercise prescriptions.
  • the exercise prescription processing unit 390 may evaluate the user's exercise prescription performance as a result of comparing the user's exercise motion data with the standard rehabilitation exercise data of the corresponding exercise prescription for similarity, and the user's exercise prescription performance based on the similarity.
  • the exercise prescription performance evaluation can be graded.
  • the exercise prescription processing unit 390 may provide information on cardiac rehabilitation exercise improvement, cardiorespiratory endurance, muscular endurance, muscle strength, balance, flexibility, and aerobic capacity based on the amount of change in the user's biosignal.
  • Information about the user's exercise prescription performance may be accumulated and stored in the database 170, and the exercise prescription processing unit 370 performs a comparison between previous information and current information about the user's cardiac rehabilitation exercise based on the accumulated and stored data.
  • training result information such as improvement and number of cardiac rehabilitation exercises can be generated.
  • training result information can be quantified on a weekly or monthly basis and expressed in the form of a graph or the like.
  • the control unit 390 controls the overall operation of the cardiac rehabilitation exercise service providing device 150, and includes an exercise prescription determination unit 310, an exercise motion processing unit 330, a bio-signal collection unit 350, and an exercise prescription monitoring unit 370. ) and the exercise prescription processing unit 390 can manage the control flow or data flow.
  • Figure 4 is a flow chart illustrating a method of providing a user-customized cardiac rehabilitation exercise service based on motion analysis according to the present invention.
  • the cardiac rehabilitation exercise service providing device 150 may determine the user's exercise prescription through the exercise prescription determination unit 310 (step S410).
  • the cardiac rehabilitation exercise service providing device 150 can detect the starting point and end point of the exercise motion given in the exercise prescription through the exercise motion processing unit 330 and determine the recovery point of the exercise motion, which is defined as a specific time point after performance of the given exercise motion. There is (step S430).
  • the cardiac rehabilitation exercise service providing device 150 may collect the user's biosignals at each start and end point of the exercise operation through the biosignal collection unit 350 (step S450).
  • the cardiac rehabilitation exercise service providing device 150 determines the amount of change in the user's biosignal according to the start and end point of the exercise operation through the exercise prescription monitoring unit 370, and determines the recovery amount of the biosignal at the recovery point of the exercise operation. It can be decided (step S470).
  • the cardiac rehabilitation exercise service providing device 150 may determine whether to modify the exercise prescription based on the amount of change and recovery in the user's biosignal through the exercise prescription processing unit 390 (step S490).
  • a motion analysis-based user-customized cardiac rehabilitation exercise service providing device provides a cardiac rehabilitation digital healthcare service specialized for heart disease patients, which can increase cardiac rehabilitation participation rate and accessibility, prevent heart disease recurrence, and provide medical cost savings and benefits. It can contribute to improving welfare.

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Abstract

La présente invention concerne un appareil et un procédé pour fournir un service d'exercice de rééducation cardiaque personnalisé par l'utilisateur sur la base d'une analyse de mouvement. L'appareil comprend : une unité de détermination de prescription d'exercice qui détermine une prescription d'exercice d'un utilisateur ; une unité de traitement de mouvement d'exercice qui détecte le point de départ et le point de fin d'un mouvement d'exercice donné dans la prescription d'exercice, et détermine un point de récupération du mouvement d'exercice, le point de récupération étant défini comme un point spécifique après la réalisation du mouvement d'exercice donné ; une unité de collecte de signaux biologiques qui collecte des signaux biologiques à chacun du point de départ et du point de fin ; une unité de surveillance de prescription d'exercice qui détermine le degré de changement des signaux biologiques du point de départ au point de fin du mouvement d'exercice, et détermine le degré de récupération des signaux biologiques au point de récupération du mouvement d'exercice ; et une unité de traitement de prescription d'exercice qui détermine s'il faut modifier la prescription d'exercice sur la base du degré de changement et du degré de récupération des signaux biologiques.
PCT/KR2023/019071 2022-11-24 2023-11-24 Appareil et procédé pour fournir un service d'exercice de rééducation cardiaque personnalisé par l'utilisateur sur la base d'une analyse de mouvement Ceased WO2024112141A1 (fr)

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KR102826424B1 (ko) * 2024-10-04 2025-06-27 (주)토마토시스템 사용자의 스테이터스 및 건강 점수를 산출해 패턴 분석을 통한 건강 관리 정보를 제공하는 방법, 장치 및 컴퓨터-판독 가능 기록 매체

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KR20220106448A (ko) * 2021-01-22 2022-07-29 주식회사 광현 맞춤형 운동처방을 위한 인공지능 동작인식 평가 및 근전도 측정 시스템
KR20220132812A (ko) * 2021-03-24 2022-10-04 삼성전자주식회사 의료 데이터를 이용하여 운동 프로그램을 제공하는 전자 장치 및 방법

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JP2007312921A (ja) * 2006-05-24 2007-12-06 Casio Comput Co Ltd 生体情報測定装置及び生体情報測定システム
KR101965269B1 (ko) * 2017-03-28 2019-04-03 주식회사 엑소시스템즈 웨어러블 장치로부터 재활 운동 정보를 수신하는 사용자 전자 장치
KR20220106448A (ko) * 2021-01-22 2022-07-29 주식회사 광현 맞춤형 운동처방을 위한 인공지능 동작인식 평가 및 근전도 측정 시스템
KR20220132812A (ko) * 2021-03-24 2022-10-04 삼성전자주식회사 의료 데이터를 이용하여 운동 프로그램을 제공하는 전자 장치 및 방법

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