Rehabilitation training system, method, apparatus, medium and product

Abstract

The embodiment of the invention discloses a rehabilitation training system, method, equipment, medium and product, and the system comprises a motion data collection device which is installed at the limb part of a first object and is used for collecting the motion data of the limb part, and a data processing module which is used for processing the motion data of the limb part according to the first motion data corresponding to the limb part of the healthy side. Determining a first driving parameter used for driving the healthy side limb part model and the affected side limb part model of the three-dimensional model of the first object to move; the picture display device is worn on the eye of the first object and used for displaying the first motion picture content of the three-dimensional model driven by the first driving parameter to move and the motion guide picture content to the first object. According to the technical scheme, the problem that the current rehabilitation training effect is poor is solved, the driving parameters can be determined through movement data collection, the picture for driving the three-dimensional model to move is displayed to the user, and the rehabilitation training effect of the limbs of the user is improved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of computer technology, and in particular to a rehabilitation training system, method, device, medium, and product. Background Art

[0002] Stroke, commonly known as stroke, includes ischemic stroke (cerebral infarction) and hemorrhagic stroke (cerebral parenchymal hemorrhage, intraventricular hemorrhage, subarachnoid hemorrhage). It is a disease in which brain cells and tissues die. Hemiplegia after stroke is a common sequelae that can seriously affect the patient's limb function and quality of life.

[0003] Currently, there is a lack of effective assistive systems for patients with hemiplegia after stroke. Summary of the Invention

[0004] The embodiments of the present invention provide a rehabilitation training system, method, device, medium and product, which can improve the rehabilitation training effect of limbs.

[0005] In a first aspect, an embodiment of the present invention provides a rehabilitation training system, the system comprising:

[0006] A motion data acquisition device is installed on a limb of the first subject and is used to collect motion data of the limb, wherein the limb includes a healthy limb and an affected limb;

[0007] a data processing module for determining, based on first motion data corresponding to the healthy-side limb part, first driving parameters for driving the healthy-side limb part model and the affected-side limb part model of the three-dimensional model of the first object to move;

[0008] A picture display device is worn on the eyes of a first object, and is used to display to the first object a first motion picture content of a three-dimensional model moving under the drive of a first driving parameter, as well as a motion guidance picture content for instructing the first object to move, wherein the motion guidance picture content is determined according to the training content in the motion plan.

[0009] In a second aspect, an embodiment of the present invention provides a rehabilitation training method, the method comprising:

[0010] Collecting motion data of limb parts by a motion data acquisition device, wherein the limb parts include healthy side limb parts and affected side limb parts;

[0011] Determining, by a data processing module, first driving parameters for driving the healthy-side limb part model and the affected-side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy-side limb part;

[0012] A first motion picture content showing a three-dimensional model moving under the drive of a first driving parameter and a motion guidance picture content for instructing the first object to move are displayed to the first object through a picture display device, wherein the motion guidance picture content is determined according to the training content in the motion plan.

[0013] In a third aspect, an embodiment of the present invention further provides a computer device, comprising:

[0014] one or more processors;

[0015] a memory for storing one or more programs;

[0016] When the one or more programs are executed by one or more processors, the one or more processors implement the rehabilitation training method provided by any embodiment of the present invention.

[0017] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the rehabilitation training method provided by any embodiment of the present invention.

[0018] In a fifth aspect, an embodiment of the present invention further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the rehabilitation training method provided by any embodiment of the present invention.

[0019] The embodiments of the above invention have the following advantages or beneficial effects:

[0020] In an embodiment of the present invention, a motion data acquisition device is installed on a limb of a first object, and is used to collect motion data of the limb, wherein the limb includes a healthy limb and an affected limb; a data processing module is used to determine a first driving parameter for driving the healthy limb model and the affected limb model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy limb; a picture display device is worn on the eyes of the first object, and is used to display to the first object a first motion picture content of the three-dimensional model moving under the drive of the first driving parameter, as well as a motion guidance picture content for instructing the first object to move, wherein the motion guidance picture content is determined according to the training content in the exercise plan. The technical solution of the embodiment of the present invention solves the problem of poor rehabilitation training effect at present, and can determine the driving parameters through motion data acquisition, and display the picture of driving the three-dimensional model to the user, thereby improving the rehabilitation training effect of the user's limb. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a structural diagram of a rehabilitation training system provided by an embodiment of the present invention;

[0022] Figure 2 is a structural diagram of a rehabilitation training system provided by an embodiment of the present invention;

[0023] Figure 3 is a flow chart of a rehabilitation training method provided by an embodiment of the present invention;

[0024] Figure 4 is a flow chart of a rehabilitation training method provided by an embodiment of the present invention;

[0025] Figure 5 It is a structural diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It will be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all structures.

[0027] Figure 1 This is a structural diagram of a rehabilitation training system provided by an embodiment of the present invention. This embodiment is applicable to rehabilitation training scenarios.

[0028] like Figure 1 As shown, the rehabilitation training system includes: a motion data acquisition device 110 , a data processing module 120 and a screen display device 130 .

[0029] Among them, the motion data acquisition device 110 is installed on the limb part of the first object, and is used to collect motion data of the limb part, wherein the limb part includes the healthy side limb part and the affected side limb part; the data processing module 120 is used to determine the first driving parameters for driving the healthy side limb part model and the affected side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy side limb part; the picture display device 130 is worn on the eyes of the first object, and is used to display to the first object the first motion picture content of the three-dimensional model moving under the drive of the first driving parameters, as well as the motion guidance picture content for instructing the first object to move, wherein the motion guidance picture content is determined according to the training content in the exercise plan.

[0030] The motion data acquisition device 110 can be a motion sensor, such as an inertial measurement unit. The inertial measurement unit can be worn near joints of the healthy and affected arms and legs, such as the forearm or outer thigh, and secured with a strap to monitor motion data at the wearer's location in real time.

[0031] The motion data collected by the motion data acquisition device 110 may include limb motion acceleration, angular velocity and posture change data, etc. The collected motion data can be pre-processed by filtering and noise reduction to eliminate interference signals in the motion data and improve data quality. The data processing module 120 can convert the first motion data corresponding to the healthy limb part in the motion data into skeletal drive parameters, such as mapping the accelerometer data of the inertial measurement unit to the joint rotation angle. Through the inverse kinematics algorithm, the parameters are mapped to the skeletal system of the three-dimensional model to drive the joint rotation, such as the elbow bending angle of the three-dimensional model. The skeletal movement affects the surface vertices of the three-dimensional model through the weight matrix to achieve muscle stretching and skin deformation.

[0032] In this embodiment, the motion data of the healthy limb is used to determine the driving parameters of the 3D model's bilateral limbs. This allows the 3D model's bilateral limbs to reflect the motion trajectory of the healthy limb. This allows the patient to visually experience normal movement of the affected limb during subsequent visual presentations, thereby reshaping the brain and achieving a rehabilitation training effect. The motion data of the affected limb can then be used to generate rehabilitation training reports to evaluate the effectiveness of the training.

[0033] The picture display device 130 can be a virtual reality (VR) head-mounted device, such as an external head-mounted device, a mobile head-mounted display device and an integrated head-mounted device, etc., which is worn on the eyes of the first object and is used to display to the first object the first motion picture content of the three-dimensional model moving under the drive of the first driving parameters determined according to the motion data of the healthy side limb, and the motion guidance picture content for instructing the first object to move. The first motion picture content and the motion guidance picture content can be displayed synchronously. The motion guidance picture content is determined according to the training content in the exercise plan, and can be a standard posture demonstration and action detail decomposition of the training action in the training content.

[0034] The technical solution of this embodiment is to install a motion data acquisition device on the limb part of the first object, and to collect motion data of the limb part, wherein the limb part includes the healthy side limb part and the affected side limb part; the data processing module is used to determine the first driving parameters for driving the healthy side limb part model and the affected side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy side limb part; the picture display device is worn on the eyes of the first object, and is used to display to the first object the first motion picture content of the three-dimensional model moving under the drive of the first driving parameters, as well as the motion guidance picture content for instructing the first object to move, wherein the motion guidance picture content is determined according to the training content in the exercise plan. The technical solution of the embodiment of the present invention solves the problem of poor rehabilitation training effect at present, and can determine the driving parameters through motion data acquisition, and display the picture of driving the three-dimensional model to the user, thereby improving the rehabilitation training effect of the user's limb.

[0035] Figure 2 This is a structural diagram of a rehabilitation training system provided by an embodiment of the present invention.

[0036] like Figure 2 As shown, the rehabilitation training system includes: a motion data acquisition device 210 , a data processing module 220 , a screen display device 230 and a motion plan determination module 240 .

[0037] Among them, the motion data acquisition device 210 is installed on the limb part of the first object, and is used to collect motion data of the limb part, wherein the limb part includes the healthy side limb part and the affected side limb part; the data processing module 220 is used to determine the first driving parameters for driving the healthy side limb part model and the affected side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy side limb part; the picture display device 230 is worn on the eyes of the first object, and is used to display to the first object the first motion picture content of the three-dimensional model moving under the drive of the first driving parameters, and the motion guidance picture content for instructing the first object to move, wherein the motion guidance picture content is determined according to the training content in the motion plan; the motion plan determination module 240 is used to determine the first motion plan of the first object based on the motion plan configuration operation; the first motion plan includes training duration, training content and training intensity.

[0038] Users can set the training duration, content, and intensity on the preset exercise plan interface. Content can include the specific movements, while intensity can be the range of motion, such as the range of joint movement. For example, if the training content is knee flexion training, the intensity could be 30° flexion.

[0039] In an optional embodiment, the data processing module 220 is further configured to perform motion mapping enhancement processing on the second motion data corresponding to the affected limb portion, and determine a second driving parameter for driving the affected limb portion model of the three-dimensional model of the first object;

[0040] Correspondingly, the picture display device 230 is further used to display to the first object the second motion picture content of the three-dimensional model moving under the driving of the second driving parameters, and the motion guiding picture content for instructing the first object to move.

[0041] The second motion data can be motion-mapped and enhanced using a preset motion mapping coefficient. For example, if the joint range of motion in the second motion data is 30° and the preset motion mapping coefficient is 2, the second driving parameter is mapped in the virtual environment to display flexion of 60°, thereby inducing the patient to actively increase the real movement amplitude through visual stimulation.

[0042] In an optional embodiment, the system further includes:

[0043] The data acquisition module 250 is configured to acquire medical history information and subject condition information of the first subject.

[0044] Medical history and subject condition information can be used to generate 3D models, generate rehabilitation training reports, and develop exercise training plans. Medical history information can include medical history, disease diagnosis, surgical history, functional assessments such as range of motion, auxiliary examination results such as imaging and laboratory data, previous treatment plans, medication use, rehabilitation goals, and contraindications. This information helps develop safe and effective training plans. Subject condition information can include age, gender, height, and weight.

[0045] In an optional embodiment, the motion plan determination module 240 is also used to generate feature information of the first object based on the medical history information and the object condition information, and determine the second motion plan that best matches the feature information based on the feature information and the plan matching model; wherein the plan matching model is a neural network model such as a convolutional neural network model, etc., which is not limited in this embodiment.

[0046] The plan matching model can identify key features within medical history and patient condition information through feature screening, generate feature information, and then input this feature information into the plan matching model. Plan matching then performs feature mapping on the feature information to produce a second exercise plan that best matches the feature information. Specifically, the plan matching model can adaptively optimize the exercise plan based on the feature weight distribution, historical plan matching patterns, and effect feedback patterns learned during training. Specifically, by learning from a large amount of medical history and plan matching data, the plan matching model determines the influence weights of key features such as age, injury type, and range of motion. For example, it prioritizes training combinations focused on neurological remodeling for stroke patients. It also determines the mapping relationship between training parameters such as range of motion and load weight and patient characteristics, for example, automatically associating passive flexion and extension training with progressive resistance training for patients after knee surgery. Based on historical patient training effect data, such as the rate of improvement in range of motion, the plan matching strategy is dynamically adjusted to produce the second exercise plan.

[0047] In an optional embodiment, the system further includes:

[0048] The report generating module 260 is used to generate a rehabilitation training report based on the first motion data corresponding to the healthy side limb part and the second motion data corresponding to the affected side limb part.

[0049] Comparative analysis of the differences between the first and second motion data, such as differences in joint range of motion and movement trajectory, provides a visual representation of the degree of functional impairment on the affected limb. Combined with the underlying medical condition in the medical record, the effectiveness of the current rehabilitation training is evaluated and the progress of the affected limb's recovery is summarized. Finally, based on the data and evaluation results, adjustments are made for the next phase of rehabilitation training, such as increasing or decreasing training intensity and changing training exercises.

[0050] The technical solution of this embodiment is to use a motion data acquisition device installed on a limb of a first subject to collect motion data of the limb, wherein the limb includes a healthy limb and an affected limb; a data processing module to determine a first driving parameter for driving the healthy limb model and the affected limb model of the three-dimensional model of the first subject to move according to the first motion data corresponding to the healthy limb; a picture display device worn on the eyes of the first subject to display to the first subject a first motion picture content of the three-dimensional model moving under the drive of the first driving parameter, and a motion guidance picture content for instructing the first subject to move, wherein the motion guidance picture content is determined based on the training content in the exercise plan; a motion plan determination module to determine a first exercise plan for the first subject based on the exercise plan configuration operation; the first exercise plan includes training duration, training content, and training intensity. The technical solution of the embodiment of the present invention solves the problem of poor rehabilitation training effect. The driving parameters can be determined by motion data acquisition, and the picture of driving the three-dimensional model to move can be displayed to the user, thereby improving the rehabilitation training effect of the user's limb. The exercise plan is determined by the plan determination module, thereby improving the accuracy, personalization and efficiency of rehabilitation training.

[0051] Figure 3 This is a flowchart of a rehabilitation training method provided by an embodiment of the present invention. This embodiment is applicable to rehabilitation training scenarios.

[0052] like Figure 3 As shown, the rehabilitation training method of this embodiment includes the following steps:

[0053] S310: Collect motion data of a limb of the first subject through a motion data collection device.

[0054] The motion data acquisition device is installed on the limbs of the first subject, and the limbs include the healthy side limbs and the affected side limbs.

[0055] S320. Determine, through the data processing module, first driving parameters for driving the healthy-side limb model and the affected-side limb model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy-side limb model.

[0056] S330: Displaying, through a picture display module, first motion picture content of the three-dimensional model moving under the driving of the first driving parameter, and motion guiding picture content for instructing the first object to move, to the first object.

[0057] The image display device is worn on the eyes of the first subject, and the content of the exercise guidance image is determined according to the training content in the exercise plan.

[0058] The technical solution of this embodiment is to collect motion data of the limb part of the first object through a motion data acquisition device; wherein the motion data acquisition device is installed on the limb part of the first object, and the limb part includes the healthy side limb part and the affected side limb part; the data processing module determines the first driving parameters for driving the healthy side limb part model and the affected side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy side limb part; the screen display module displays to the first object the first motion screen content of the three-dimensional model moving under the drive of the first driving parameters, as well as the motion guidance screen content for instructing the first object to move; wherein the screen display device is worn on the eyes of the first object, and the motion guidance screen content is determined according to the training content in the exercise plan. The technical solution of the embodiment of the present invention solves the problem of poor rehabilitation training effect at present, and can determine the driving parameters through motion data acquisition, and display the screen driving the three-dimensional model to the user, thereby improving the rehabilitation training effect of the user's limb.

[0059] Figure 2 This is a flowchart of a rehabilitation training method provided by an embodiment of the present invention. This embodiment and the rehabilitation training method in the above embodiment belong to the same inventive concept, and further describes the process of determining the exercise plan. Figure 2 As shown, the rehabilitation training method of this embodiment includes the following steps:

[0060] S410 : Determine a first motion plan for a first object based on a motion plan configuration operation through a motion plan determination module.

[0061] The first exercise plan includes training duration, training content and training intensity.

[0062] S420. Collect motion data of a limb of the first subject through a motion data collection module, wherein the limb includes a healthy limb and an affected limb.

[0063] The motion data acquisition device is installed on the limbs of the first subject, and the limbs include the healthy side limbs and the affected side limbs.

[0064] S430. Determine, through the data processing module, first driving parameters for driving the healthy-side limb part model and the affected-side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy-side limb part.

[0065] S440: Displaying, through a picture display module, first motion picture content of the three-dimensional model moving under the driving of the first driving parameter, and motion guiding picture content for instructing the first object to move, to the first object.

[0066] The image display device is worn on the eyes of the first subject, and the content of the exercise guidance image is determined according to the training content in the exercise plan.

[0067] In an optional embodiment, the second motion data corresponding to the affected limb part is subjected to motion mapping enhancement processing by the data processing module to determine the second driving parameters of the affected limb part model for driving the three-dimensional model of the first object; the second motion picture content of the three-dimensional model moving under the drive of the second driving parameters and the motion guidance picture content for instructing the first object to move are displayed to the first object by the picture display module.

[0068] In an optional embodiment, the medical history information and subject condition information of the first subject are acquired by a data acquisition module.

[0069] In an optional embodiment, a motion plan determination module generates feature information of the first object based on medical history information and object condition information, and determines a second motion plan that best matches the feature information based on the feature information and a plan matching model; wherein the plan matching model is a neural network model.

[0070] In an optional embodiment, a report generation module generates a rehabilitation training report based on the first motion data corresponding to the healthy limb part and the second motion data corresponding to the affected limb part.

[0071] The technical solution of this embodiment is to determine a first motion plan for a first object based on a motion plan configuration operation through a motion plan determination module; the first motion plan includes training duration, training content and training intensity; the motion data of the limb parts of the first object are collected through a motion data acquisition module, wherein the limb parts include healthy-side limb parts and affected-side limb parts; wherein the motion data acquisition device is installed on the limb parts of the first object, and the limb parts include healthy-side limb parts and affected-side limb parts; the data processing module determines the first driving parameters for driving the healthy-side limb part model and the affected-side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy-side limb part; the screen display module displays to the first object the first motion screen content of the three-dimensional model moving under the drive of the first driving parameters, as well as the motion guidance screen content for instructing the first object to move; wherein the screen display device is worn on the eyes of the first object, and the motion guidance screen content is determined according to the training content in the motion plan. The technical solution of the embodiment of the present invention solves the problem of poor rehabilitation training effect at present. It can determine the driving parameters through motion data collection and display the picture of driving the three-dimensional model movement to the user, thereby improving the rehabilitation training effect of the user's limbs. The movement plan is determined through the plan determination module to improve the accuracy, personalization and efficiency of rehabilitation training.

[0072] Figure 5 A schematic structural diagram of a computer device provided in an embodiment of the present invention. Figure 5 A block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention is shown. Figure 5 The computer device 12 shown is only an example and should not limit the functionality and scope of use of the embodiments of the present invention. The computer device 12 can be any terminal device with computing capabilities, such as an intelligent controller, a server, a mobile phone, or other terminal devices.

[0073] like Figure 5 As shown, computer device 12 is implemented as a general-purpose computing device. Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16, system memory 28, and a bus 18 that connects various system components (including system memory 28 and processing unit 16).

[0074] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0075] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0076] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 5 Not shown, often called a "hard drive"). Although Figure 5Not shown, a magnetic disk drive for reading and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of the present invention.

[0077] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0078] The computer device 12 may also communicate with one or more external devices 14 (e.g., a keyboard, a pointing device, a display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication may be performed via an input / output (I / O) interface 22. Furthermore, the computer device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with the other modules of the computer device 12 via the bus 18. It should be understood that although Figure 5 Not shown, other hardware and / or software modules may be used in conjunction with the computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RFID systems, tape drives, and data backup storage systems.

[0079] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the rehabilitation training method provided in the embodiment of the present invention, which includes:

[0080] The motion data of the limb parts are collected by the motion data collection module, wherein the limb parts include the healthy side limb parts and the affected side limb parts;

[0081] Determining, by a data processing module, first driving parameters for driving the healthy-side limb part model and the affected-side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy-side limb part;

[0082] The screen display module displays to the first object a first motion screen content of the three-dimensional model moving under the drive of the first driving parameter, as well as a motion guidance screen content for instructing the first object to move, wherein the motion guidance screen content is determined according to the training content in the motion plan.

[0083] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the rehabilitation training method provided in any embodiment of the present invention is implemented. The method includes:

[0084] The motion data of the limb parts are collected by the motion data collection module, wherein the limb parts include the healthy side limb parts and the affected side limb parts;

[0085] Determining, by a data processing module, first driving parameters for driving the healthy-side limb part model and the affected-side limb part model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy-side limb part;

[0086] The screen display module displays to the first object a first motion screen content of the three-dimensional model moving under the drive of the first driving parameter, as well as a motion guidance screen content for instructing the first object to move, wherein the motion guidance screen content is determined according to the training content in the motion plan.

[0087] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device.

[0088] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0089] Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0090] The computer program code for performing the operations of the present invention can be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, Python, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0091] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the rehabilitation training method provided in any embodiment of the present application.

[0092] The computer program product, during implementation, may be written in one or more programming languages, or a combination thereof, for performing the operations of the present invention. The programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, Python, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0093] Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using a general-purpose computing device. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they can be implemented using program code executable by a computer device, which can then be stored in a storage device and executed by the computing device. Alternatively, they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.

[0094] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the concept of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A rehabilitation training system, characterized in that: include: A motion data acquisition device is installed on a limb of the first subject and is used to collect motion data of the limb, wherein the limb includes a healthy limb and an affected limb; a data processing module, configured to determine, based on the first motion data corresponding to the healthy-side limb part, first driving parameters for driving the healthy-side limb part model and the affected-side limb part model of the three-dimensional model of the first object to move; A picture display device is worn on the eyes of the first object, and is used to display to the first object a first motion picture content of the three-dimensional model moving under the drive of the first driving parameters, as well as a motion guidance picture content for instructing the first object to move, wherein the motion guidance picture content is determined according to the training content in the motion plan.

2. The system according to claim 1, wherein: The data processing module is further configured to perform motion mapping enhancement processing on the second motion data corresponding to the affected limb part, and determine a second driving parameter for driving the affected limb part model of the three-dimensional model of the first object; Correspondingly, the image display device is also used to display to the first object a second motion image content of the three-dimensional model moving under the drive of the second driving parameter, and a motion guiding image content for instructing the first object to move.

3. The system according to claim 1, wherein: The system also includes: The data acquisition module is used to acquire medical record information and subject condition information of the first subject.

4. The system according to claim 1, wherein: The system also includes: a motion plan determining module, configured to determine a first motion plan for the first object based on a motion plan configuration operation; The first exercise plan includes training duration, training content and training intensity.

5. The system according to claim 3, wherein: The motion plan determination module is further configured to generate feature information of the first subject based on the medical history information and the subject condition information, and determine a second motion plan that best matches the feature information based on the feature information and a plan matching model; Among them, the plan matching model is a neural network model.

6. The system according to claim 2, wherein: The system also includes: The report generation module is used to generate a rehabilitation training report based on the first motion data corresponding to the healthy side limb part and the second motion data corresponding to the affected side limb part.

7. A rehabilitation training method, characterized in that: include: Collecting motion data of a limb of the first subject using a motion data acquisition device, wherein the motion data acquisition device is installed on the limb of the first subject, the limb including a healthy limb and an affected limb; Determining, by a data processing module, first driving parameters for driving the healthy-side limb model and the affected-side limb model of the three-dimensional model of the first object to move according to the first motion data corresponding to the healthy-side limb model; A first motion picture content showing the three-dimensional model moving under the drive of the first driving parameters and a motion guidance picture content for instructing the first object to move are displayed to the first object through a picture display device, wherein the picture display device is worn on the eyes of the first object, and the motion guidance picture content is determined according to the training content in the exercise plan.

8. A computer device, characterized in that: The computer device comprises: one or more processors; a memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the rehabilitation training method as claimed in claim 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the rehabilitation training method according to claim 7 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the rehabilitation training method according to claim 7 is implemented.

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