Rehabilitation effect intelligent evaluation system based on training video

Abstract

The invention aims to disclose a training video-based rehabilitation effect intelligent evaluation system, which comprises a portable mobile terminal and / or a handheld acquisition terminal, and is characterized in that the portable mobile terminal comprises a digital standardized training video library unit, a user data unit, a rehabilitation training monitoring unit and an intelligent evaluation unit; through cooperation of a portable mobile terminal and / or a handheld acquisition terminal, user data of a user data unit is compared with digital standardized training videos of a digital standardized training video library unit, and the current rehabilitation training condition of a user is output through an intelligent evaluation unit. The rehabilitation training monitoring unit monitors the rehabilitation training condition of a user in real time and adjusts and optimizes the rehabilitation training condition in real time, the handheld acquisition terminal scans and acquires the current physical condition data of the user to form digital data, and the digital data is transmitted to the portable mobile terminal, so that a rehabilitatrist can more intuitively perform the current rehabilitation training state of the user, and the user experience is improved. And accurate evaluation is realized.

Description

Technical Field

[0001] This invention relates to an intelligent digital medical rehabilitation system, and more particularly to an intelligent evaluation system for rehabilitation effects based on training videos. Background Technology

[0002] With the aging population and surging demand for rehabilitation treatment, remote rehabilitation has emerged as a new means of health management and service. Rehabilitation training is an intervention method that promotes functional recovery or improvement after injury through scientifically designed physical activities. Its core lies in avoiding complete cessation of exercise, accelerating injury healing through moderate exercise, and maintaining the body's functional balance. This training aims to prevent muscle atrophy, enhance joint stability, and optimize metabolic levels. It needs to be carried out gradually based on an individualized plan, taking into account strength, range of motion, and cardiopulmonary function recovery, ultimately achieving the synergistic development of structural repair and functional reconstruction.

[0003] Traditional rehabilitation models rely entirely on the diagnosis of rehabilitation therapists or doctors, which requires going to the hospital for diagnosis using instruments, a process that is time-consuming and labor-intensive.

[0004] Therefore, there is a particular need for an intelligent evaluation system for rehabilitation effects based on training videos to solve the aforementioned existing problems. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent evaluation system for rehabilitation effects based on training videos. This system addresses the shortcomings of existing technologies by providing a more convenient and intuitive evaluation of the effects of rehabilitation training without the need for hospital medical equipment.

[0006] The technical problem solved by this invention can be achieved by the following technical solutions:

[0007] An intelligent rehabilitation effect evaluation system based on training videos includes a portable mobile terminal and / or a handheld data acquisition terminal, wherein the portable mobile terminal includes:

[0008] The digital standardized training video library unit is used to store digital standardized training videos classified according to the four stages of PT physical therapy, and to establish a digital standardized training video library; the four stages of PT physical therapy include the supine stage, the sitting stage, the standing stage, and the walking stage;

[0009] The user data unit is used to store the user's clinical data, physical condition data, and basic functional impairment data before rehabilitation training, as well as rehabilitation training videos of the user according to the established rehabilitation training plan.

[0010] The rehabilitation training monitoring unit captures real-time changes in limb joint angles, movement trajectories, and muscle strength during the user's rehabilitation training process through continuous image acquisition. It analyzes movement deviations and the standardization of rehabilitation training postures using a posture comparison engine and a temporal matching engine, and provides real-time feedback to the intelligent evaluation unit through a dynamic, graded feedback strategy.

[0011] The intelligent assessment unit allows rehabilitation therapists to view the user's real-time training percentage, provide timely guidance and quickly adjust the training plan, and periodically generate rehabilitation summary reports.

[0012] In a preferred embodiment of the present invention, the digital standardized training videos of the digital standardized training video library unit are equipped with multi-dimensional labels, which include one or more combinations of indication type, difficulty level, assistive device requirement and target limb joint.

[0013] In a preferred embodiment of the present invention, the clinical data includes, but is not limited to, the user's basic information, medical records, and diagnostic reports.

[0014] In a preferred embodiment of the present invention, the rehabilitation training monitoring unit continuously collects image sequences of rehabilitation training from the user, extracts key joint points, joint angles, movement trajectories, and muscle strength changes of the limbs, constructs a dynamic limb motion vector model, and tracks joint movement trajectories and muscle strength changes in real time; the posture comparison engine compares the user's limb joint movement trajectory with the running path of digitally standardized training movements in the digitally standardized training video library; the temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and outputs graded feedback to the intelligent evaluation unit according to the user's movement deviation rate; when the movement deviation rate is ≥85%, a green confirmation signal and positive voice feedback are output; when the movement deviation rate is 75%-85%, a yellow deviation signal and guidance voice feedback are output; when the movement deviation rate is <75%, a red deviation signal is output, training is paused, and a correction video is played.

[0015] In a preferred embodiment of the present invention, the handheld data acquisition terminal includes at least:

[0016] The scanning and acquisition unit is used to scan and collect the user's current physical condition data and generate digitized data; and

[0017] The data transmission unit is used to transmit the data generated by the scanning and acquisition unit to the portable mobile terminal.

[0018] Furthermore, the current physical condition includes upper limb motor function, lower limb motor function, joint range of motion, and cognitive status.

[0019] Furthermore, the scanning and acquisition unit also includes a physiological parameter monitoring unit, which collects the user's current physiological parameters in real time through a heart rate sensor, a blood pressure sensor, and a body temperature sensor.

[0020] The present invention provides a remote interactive offline rehabilitation training system. Compared with existing technologies, this system utilizes the collaboration of portable mobile terminals and / or handheld acquisition terminals. It compares user data from the user data unit with digitally standardized training videos from the digitally standardized training video library unit. An intelligent evaluation unit outputs the user's current rehabilitation training status, while a rehabilitation training monitoring unit monitors and optimizes the user's rehabilitation training in real time. The handheld acquisition terminal scans and collects the user's current physical condition data, generating digitized data that is transmitted to the portable mobile terminal. This allows rehabilitation therapists to conduct a more intuitive and accurate assessment of the user's current rehabilitation training status, providing patients with efficient and precise rehabilitation guidance services, thus achieving the objectives of the present invention.

[0021] The features of the present invention can be clearly understood by referring to the drawings and the following detailed description of preferred embodiments. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the structure of the portable mobile terminal of the present invention;

[0023] Figure 2 This is a schematic diagram of the handheld data acquisition terminal of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0025] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0026] It should be noted that similar reference numerals and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, all directional indications (such as up, down, left, right, front, back, bottom, etc.) in this application are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indication will also change accordingly. Furthermore, descriptions involving "first," "second," etc., in this application are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated.

[0027] Example

[0028] like Figure 1 As shown, the intelligent rehabilitation effect evaluation system based on training videos of the present invention includes a portable mobile terminal 10 and / or a handheld acquisition terminal 20. The portable mobile terminal 10 includes: a digital standardized training video library unit 110, a user data unit 120, a rehabilitation training monitoring unit 130, and an intelligent evaluation unit 140.

[0029] The digital standardized training video library unit 110 is used to store digital standardized training videos categorized according to the four stages of PT (physiotherapy), establishing a digital standardized training video library. The four stages of PT include the supine, sitting, standing, and walking phases. Supine phase training videos include, but are not limited to, joint mobility training videos and turning-over training videos; sitting phase training videos include, but are not limited to, balance training videos and transfer training videos; standing phase training videos include, but are not limited to, weight transfer videos and resistance training videos; and walking phase training videos include, but are not limited to, gait correction videos and step-by-step training videos. The digital standardized training videos in the digital standardized training video library unit 110 are equipped with multi-dimensional tags, which include one or more combinations of indication type, difficulty level, assistive device requirements, and target limb joints.

[0030] User data unit 120 is used to store clinical data, physical condition data and basic functional impairment data of the user before rehabilitation training, as well as rehabilitation training videos of the user according to the established rehabilitation training plan; the clinical data includes, but is not limited to, the user's basic information, medical record information and diagnostic reports.

[0031] The rehabilitation training monitoring unit 130 continuously acquires images of the user, captures the user's limb joint angles, movement trajectories and muscle strength changes in real time during the training process, analyzes movement deviations through posture comparison engine and time sequence matching engine, and outputs feedback to the intelligent evaluation unit 140 in real time through dynamic graded feedback strategy.

[0032] Specifically, by continuously collecting image sequences of rehabilitation training from users, key joint points, joint angles, movement trajectories, and muscle strength changes of the limbs are extracted to construct a dynamic limb motion vector model, which tracks joint movement trajectories and muscle strength changes in real time. The posture comparison engine compares the user's limb joint movement trajectory with the running path of digitally standardized training movements in the digitally standardized training video library. The temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and outputs graded feedback to the intelligent evaluation unit 140 according to the user's movement deviation rate. When the movement deviation rate is ≥85%, a green confirmation signal and positive voice feedback are output; when the movement deviation rate is 75%-85%, a yellow deviation signal and guidance voice feedback are output; when the movement deviation rate is <75%, a red deviation signal is output, training is paused, and an error correction video is played.

[0033] The intelligent assessment unit 140 allows rehabilitation therapists to view the user's real-time training percentage, provide timely guidance and quickly adjust the training plan, and periodically generate rehabilitation summary reports.

[0034] The handheld acquisition terminal 20 includes at least: a scanning acquisition unit 210 and a data transmission unit 220;

[0035] The scanning and acquisition unit 210 is used to scan and acquire the user's current physical condition data and generate digitized data; the current physical condition includes upper limb motor function, lower limb motor function, joint range of motion, and cognitive status. The scanning and acquisition unit 210 also includes a physiological parameter monitoring unit 211, which collects the user's current physiological parameters in real time through a heart rate sensor, a blood pressure sensor, and a body temperature sensor.

[0036] The data transmission unit 220 is used to transmit the data generated by the scanning acquisition unit 210 to the portable mobile terminal 10.

[0037] The intelligent rehabilitation effect evaluation system based on training videos of the present invention allows users to compare user data from user data unit 120 with digitally standardized training videos from digitally standardized training video library unit 110 on a portable mobile terminal 10. The intelligent evaluation unit 140 outputs the user's current rehabilitation training status, and the rehabilitation training monitoring unit 130 monitors the user's rehabilitation training status in real time and makes adjustments and optimizations in real time.

[0038] The user scans and collects the user's current physical condition data through the handheld data collection terminal 20 and forms digital data, which is then transmitted to the portable mobile terminal 10. This allows rehabilitation therapists to conduct a more intuitive and accurate assessment of the user's current condition, which is beneficial for the intelligent evaluation of rehabilitation effects.

[0039] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as defined by the appended claims and their equivalents.

Claims

1. An intelligent rehabilitation effect evaluation system based on training videos, characterized in that, Including portable mobile terminals and / or handheld data acquisition terminals, wherein the portable mobile terminal includes: The digital standardized training video library unit is used to store digital standardized training videos classified according to the four stages of PT physical therapy, and to establish a digital standardized training video library; the four stages of PT physical therapy include the supine stage, the sitting stage, the standing stage, and the walking stage; The user data unit is used to store the user's clinical data, physical condition data, and basic functional impairment data before rehabilitation training, as well as rehabilitation training videos of the user according to the established rehabilitation training plan. The rehabilitation training monitoring unit captures real-time changes in limb joint angles, movement trajectories, and muscle strength during the user's rehabilitation training process through continuous image acquisition. It analyzes movement deviations and the standardization of rehabilitation training postures using a posture comparison engine and a temporal matching engine, and provides real-time feedback to the intelligent evaluation unit through a dynamic, graded feedback strategy. The intelligent assessment unit allows rehabilitation therapists to view the user's real-time training percentage, provide timely guidance and quickly adjust the training plan, and periodically generate rehabilitation summary reports.

2. The intelligent rehabilitation effect evaluation system based on training videos as described in claim 1, characterized in that, The digital standardized training videos in the digital standardized training video library unit are equipped with multi-dimensional labels, which include one or more combinations of indication type, difficulty level, assistive device requirements, and target limb joints.

3. The intelligent rehabilitation effect evaluation system based on training videos as described in claim 1, characterized in that, The clinical data includes, but is not limited to, the user's basic information, medical records, and diagnostic reports.

4. The intelligent rehabilitation effect evaluation system based on training videos as described in claim 1, characterized in that, The rehabilitation training monitoring unit continuously collects image sequences of the user's rehabilitation training, extracts key joint points, joint angles, movement trajectories, and muscle strength changes, constructs a dynamic limb movement vector model, and tracks joint movement trajectories and muscle strength changes in real time. The posture comparison engine compares the user's limb joint movement trajectory with the running path of digitally standardized training movements in the digitally standardized training video library. The temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and outputs graded feedback to the intelligent evaluation unit based on the user's movement deviation rate. When the movement deviation rate is ≥85%, a green confirmation signal and positive voice feedback are output; when the movement deviation rate is 75%-85%, a yellow deviation signal and guidance voice feedback are output; when the movement deviation rate is <75%, a red deviation signal is output, training is paused, and a correction video is played.

5. The intelligent rehabilitation effect evaluation system based on training videos as described in claim 1, characterized in that, The handheld data acquisition terminal includes at least: The scanning and acquisition unit is used to scan and collect the user's current physical condition data and generate digitized data; and The data transmission unit is used to transmit the data generated by the scanning and acquisition unit to the portable mobile terminal.

6. The intelligent rehabilitation effect evaluation system based on training videos as described in claim 5, characterized in that, The current physical condition includes upper limb motor function, lower limb motor function, joint range of motion, and cognitive status.

7. The intelligent rehabilitation effect evaluation system based on training videos as described in claim 5, characterized in that, The scanning and acquisition unit also includes a physiological parameter monitoring unit, which collects the user's current physiological parameters in real time through a heart rate sensor, a blood pressure sensor, and a body temperature sensor.

Images