Methods for evaluating the gait correction effect of ankle-foot orthoses

Abstract

This disclosure proposes a method for evaluating the gait correction effect of an ankle-foot orthosis. The method includes: acquiring gait parameters of a target user after wearing the orthosis, wherein the target user exhibits abnormal ankle-foot posture symptoms; calculating symmetry characteristic parameters of the target user based on the gait parameters, wherein the symmetry characteristic parameters describe the left-right symmetry of the target user's gait; calculating stability characteristic parameters of the target user based on the gait parameters, wherein the stability characteristic parameters describe the stability of the target user's gait; and generating a gait correction evaluation result based on the symmetry characteristic parameters and the stability characteristic parameters. By implementing the method of this disclosure, the symmetry characteristic parameters and stability characteristic parameters of the target user after wearing the ankle-foot orthosis can be combined to objectively and accurately quantify the gait correction effect of the ankle-foot orthosis on the target user, thereby effectively improving the practicality of the obtained gait correction evaluation results.

Description

Technical Field

[0001] This disclosure relates to the field of intelligent orthotics, specifically to a method for evaluating the gait correction effect of an ankle-foot orthosis. Background Technology

[0002] Ankle-foot orthoses can correct abnormal ankle and foot postures through the mechanical action of the sole of the foot, ankle and foot joints, and lower leg, thereby regulating and improving gait behavior.

[0003] In related technologies, the rehabilitation efficacy is mainly evaluated through the subjective observation and local measurement of rehabilitation physicians, which is difficult to meet the quantitative assessment of the improvement of gait kinematic parameters by orthotics. Summary of the Invention

[0004] This disclosure aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the purpose of this disclosure is to propose a method, device, computer equipment, and storage medium for evaluating the gait correction effect of an ankle-foot orthosis. This method can combine the symmetry and stability characteristic parameters of the target user after wearing the ankle-foot orthosis to objectively and accurately quantify the gait correction effect of the ankle-foot orthosis on the target user, thereby effectively improving the practicality of the obtained gait correction evaluation results.

[0006] To achieve the above objectives, the gait correction effect evaluation method for ankle-foot orthoses proposed in the first aspect of this disclosure includes:

[0007] Gait parameters of a target user after wearing an ankle-foot orthosis are obtained, wherein the target user exhibits symptoms of abnormal ankle-foot posture;

[0008] Based on the gait parameters, the symmetry feature parameters of the target user are calculated, wherein the symmetry feature parameters are used to describe the left-right symmetry of the target user's gait;

[0009] Based on the gait parameters, the stability feature parameters of the target user are calculated, wherein the stability feature parameters are used to describe the stability of the target user's gait;

[0010] Based on the symmetry feature parameters and the stability feature parameters, gait correction evaluation results are generated.

[0011] To achieve the above objectives, the gait correction effect evaluation device for ankle-foot orthoses according to the second aspect of this disclosure includes:

[0012] The acquisition module is used to acquire gait parameters of a target user after wearing an ankle-foot orthosis, wherein the target user exhibits symptoms of abnormal ankle-foot posture.

[0013] The first calculation module is used to calculate the symmetry feature parameters of the target user based on the gait parameters, wherein the symmetry feature parameters are used to describe the left-right symmetry of the target user's gait;

[0014] The second calculation module is used to calculate the stability feature parameters of the target user based on the gait parameters, wherein the stability feature parameters are used to describe the stability of the target user's gait.

[0015] The generation module is used to generate gait correction evaluation results based on the symmetry feature parameters and the stability feature parameters.

[0016] The computer device proposed in the third aspect of this disclosure includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the gait correction effect evaluation method for the ankle-foot orthosis proposed in the first aspect of this disclosure.

[0017] The fourth aspect of this disclosure provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a gait correction effect evaluation method for ankle-foot orthoses as proposed in the first aspect of this disclosure.

[0018] The fifth aspect of this disclosure provides a computer program product that, when executed by a processor, performs a gait correction effect evaluation method for an ankle-foot orthosis as proposed in the first aspect of this disclosure.

[0019] The gait correction effect evaluation method, device, computer equipment, and storage medium for ankle-foot orthoses disclosed herein acquire gait parameters of a target user after wearing the orthose, where the target user exhibits abnormal ankle-foot posture symptoms. Based on the gait parameters, symmetry characteristic parameters are calculated, describing the left-right symmetry of the target user's gait. Stability characteristic parameters are also calculated, describing the stability of the target user's gait. A gait correction evaluation result is generated based on the symmetry and stability characteristic parameters. Therefore, by combining the symmetry and stability characteristic parameters of the target user after wearing the orthose, an objective and accurate quantitative evaluation of the gait correction effect of the ankle-foot orthose on the target user can be achieved, thereby effectively improving the practicality of the obtained gait correction evaluation results.

[0020] Additional aspects and advantages of this disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this disclosure. Attached Figure Description

[0021] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0022] Figure 1 This is a flowchart illustrating a method for evaluating the gait correction effect of an ankle-foot orthosis according to an embodiment of this disclosure;

[0023] Figure 2 This is a flowchart illustrating a method for evaluating the gait correction effect of an ankle-foot orthosis according to another embodiment of this disclosure;

[0024] Figure 3 This is a schematic diagram of the gait correction effect evaluation device for an ankle-foot orthosis according to an embodiment of the present disclosure;

[0025] Figure 4 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. Detailed Implementation

[0026] Embodiments of this disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are used only to explain this disclosure, and should not be construed as limiting this disclosure. Rather, embodiments of this disclosure include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0027] Figure 1 This is a flowchart illustrating a method for evaluating the gait correction effect of an ankle-foot orthosis according to an embodiment of this disclosure.

[0028] It should be noted that the execution subject of the gait correction effect evaluation method of the ankle-foot orthosis in this embodiment is the gait correction effect evaluation device of the ankle-foot orthosis. This device can be implemented by software and / or hardware. The device can be configured in a computer device, which may include, but is not limited to, a terminal, a server, etc., such as a mobile phone, a PDA, etc.

[0029] like Figure 1 As shown, the method for evaluating the gait correction effect of this ankle-foot orthosis includes:

[0030] S101: Obtain gait parameters of the target user after wearing an ankle-foot orthosis, where the target user exhibits symptoms of abnormal ankle-foot posture.

[0031] The target user may refer to a user exhibiting abnormal ankle and foot posture symptoms in this embodiment of the disclosure.

[0032] Among these, gait parameters can be used to describe the posture characteristics of the target user during walking. For example, they can include stride length, stride frequency, etc., without limitation.

[0033] In other words, in this embodiment of the present disclosure, gait parameters can be detected for the target user, and then the gait parameters can be obtained as data support for the subsequent orthotic effect on gait correction.

[0034] In this embodiment of the disclosure, when acquiring gait parameters of a target user after wearing an ankle-foot orthosis, a corresponding sensing device can be configured based on the type of parameter to be acquired, and the corresponding gait parameters can be acquired through the sensing device.

[0035] S102: Based on the gait parameters, calculate the symmetry feature parameters of the target user, where the symmetry feature parameters are used to describe the left-right symmetry of the target user's gait.

[0036] Among them, the symmetry feature parameter can be used to indicate whether the gait of the target user is symmetrical on both sides during walking.

[0037] In this embodiment of the disclosure, when calculating the symmetry feature parameters of the target user based on the gait parameters, the target user's walking posture can be digitally modeled based on the gait parameters, and then the symmetry feature parameters can be determined by comparing left and right mirror images. Alternatively, the target user's symmetry feature parameters can be calculated based on the gait parameters using any other possible method, without any limitation.

[0038] In other words, in this embodiment of the present disclosure, after obtaining the gait parameters of the target user after wearing the ankle-foot orthosis, the symmetry characteristic parameters of the target user can be calculated based on the gait parameters, thereby providing reference information on the symmetry dimension for the subsequent generation of gait correction evaluation results.

[0039] S103: Based on the gait parameters, calculate the stability characteristic parameters of the target user, whereby the stability characteristic parameters are used to describe the stability of the target user's gait.

[0040] Among them, the stability feature parameter can be used to describe whether the walking posture of the target user is stable over a period of time.

[0041] In other words, in this embodiment of the present disclosure, after obtaining the gait parameters of the target user after wearing the ankle-foot orthosis, the stability characteristic parameters of the target user can be calculated based on the gait parameters, thereby providing reference information on the gait stability dimension for the subsequent generation of gait correction assessment results.

[0042] S104: Generate gait correction assessment results based on symmetry and stability characteristic parameters.

[0043] Among them, the gait correction assessment results can be used to indicate the corrective effect of ankle-foot orthotics.

[0044] It is understood that in the embodiments of this disclosure, the gait correction assessment results are positively correlated with the user's gait symmetry and stability. When the symmetry characteristic parameters and stability characteristic parameters indicate that the target user's gait symmetry and stability are better, the corresponding ankle-foot orthosis will have a better corrective effect.

[0045] In this embodiment of the disclosure, when generating gait correction evaluation results based on symmetry feature parameters and stability feature parameters, it can be based on a pre-configured relation table, which contains evaluation results corresponding to the symmetry feature parameters and stability feature parameters.

[0046] In this embodiment of the disclosure, when gait correction evaluation results are generated based on symmetry feature parameters and stability feature parameters, the obtained gait correction effect can be described from two dimensions: symmetry and stability, thereby effectively improving the practicality and clarity of the obtained gait correction effect.

[0047] In this embodiment, gait parameters of the target user after wearing an ankle-foot orthosis are obtained, where the target user exhibits abnormal ankle-foot posture symptoms. Based on the gait parameters, symmetry characteristic parameters are calculated, which describe the left-right symmetry of the target user's gait. Stability characteristic parameters are also calculated based on the gait parameters, which describe the stability of the target user's gait. A gait correction assessment result is generated based on the symmetry and stability characteristic parameters. Therefore, by combining the symmetry and stability characteristic parameters of the target user after wearing the ankle-foot orthosis, an objective and accurate quantitative assessment of the gait correction effect of the ankle-foot orthosis on the target user can be achieved, thereby effectively improving the practicality of the obtained gait correction assessment result.

[0048] Figure 2 This is a flowchart illustrating a method for evaluating the gait correction effect of an ankle-foot orthosis according to another embodiment of this disclosure.

[0049] like Figure 2 As shown, the method for evaluating the gait correction effect of this ankle-foot orthosis includes:

[0050] S201: Obtain gait parameters of the target user after wearing an ankle-foot orthosis, wherein the target user has symptoms of abnormal ankle-foot posture.

[0051] For a detailed description of S201, please refer to the above embodiments, which will not be repeated here.

[0052] S202: Determine a first parameter and a second parameter from the gait parameters, wherein the first parameter is used to describe the gait characteristics on the left side of the target user, and the second parameter is used to describe the gait characteristics on the right side of the target user.

[0053] The types of the first and second parameters can be flexibly selected according to the application scenario, and there are no restrictions on them.

[0054] Optionally, in some embodiments, wherein,

[0055] When the first parameter is the distance parameter of the left support phase, the second parameter is the distance parameter of the right support phase;

[0056] When the first parameter is the duration of the left support phase, the second parameter is the duration of the right support phase.

[0057] The support phase refers to the process during walking where the lower limbs contact the ground and bear the body's weight. The left support phase and right support phase can be defined as the support phases corresponding to the left and right lower limbs, respectively.

[0058] In other words, the gait parameters in this embodiment can include a variety of related parameters. In the process of calculating the symmetry feature parameters, the first and second parameters can be determined from the gait parameters as the analysis objects according to the needs of the scenario, thereby ensuring that the calculation process is adapted to the personalized application scenario.

[0059] S203: Determine the ratio of the first parameter and the second parameter as the symmetry characteristic parameter.

[0060] Optionally, in some embodiments, the difference between the first parameter and the second parameter can be determined as the symmetry feature parameter, or any other parameter corresponding to the first parameter and the second parameter can be determined as the symmetry feature parameter, without limitation.

[0061] In this embodiment of the disclosure, multiple parameter pairs can be selected, and different parameter pairs include different types of first and second parameters. Then, the ratios corresponding to different parameter pairs are calculated respectively. Finally, the symmetry feature parameters are determined by combining the ratios of different parameter pairs (for example, the ratios corresponding to all parameter pairs can be used as symmetry feature parameters, or the symmetry feature parameters can be obtained by weighted summation of the ratios corresponding to all parameter pairs, without limitation).

[0062] In other words, in this embodiment of the present disclosure, after obtaining the gait parameters of the target user after wearing the ankle-foot orthosis, a first parameter and a second parameter can be determined from the gait parameters. The first parameter describes the gait characteristics on the left side of the target user, and the second parameter describes the gait characteristics on the right side of the target user. The ratio of the first parameter and the second parameter is determined as a symmetry feature parameter. Therefore, the calculation process of the symmetry feature parameter can be ensured to be applicable to personalized application scenarios, and the clarity of the indication of the obtained symmetry feature parameter can be guaranteed.

[0063] S204: Determine the third parameter from the gait parameters, where the third parameter is used to describe the gait characteristics of the target user.

[0064] The third parameter can refer to a parameter determined from the gait parameters for gait stability analysis. The type and number of this third parameter can be flexibly configured according to the application scenario, and there are no restrictions on this.

[0065] Optionally, in some embodiments, the third parameter includes any of the following:

[0066] Step length;

[0067] Distance parameters of the left support phase;

[0068] Distance parameters of the right support phase;

[0069] The duration of the left support phase;

[0070] The duration of the right support phase;

[0071] The duration of the bipedal support phase.

[0072] Therefore, it can be ensured that the third parameter can be applied to personalized application scenarios.

[0073] The bipedal support phase refers to the process of supporting the body with both feet during walking, that is, the stage in the walking cycle where both legs land simultaneously.

[0074] In other words, in this embodiment of the present disclosure, after obtaining the gait parameters of the target user after wearing the ankle-foot orthosis, a third parameter can be determined from the gait parameters according to the application scenario as the object for subsequent gait stability analysis.

[0075] S205: Determine multiple consecutive sampled values ​​of the third parameter.

[0076] The sampled value refers to the value obtained by sampling the third parameter of the target user during the walking process.

[0077] In other words, in this embodiment of the present disclosure, after determining the third parameter, continuous sampling can be performed on the third parameter to determine the change of the third parameter over time, providing reliable data support for subsequent calculation of stability characteristic parameters.

[0078] S206: Based on multiple consecutive sampled values, the stability characteristic parameters are calculated.

[0079] For example, in the embodiments of this disclosure, when calculating the stability characteristic parameter based on multiple consecutive sampled values, the range of multiple sampled values ​​can be calculated as the stability characteristic parameter, or the standard deviation, moving average, moving standard deviation, etc. of multiple sampled values ​​can be calculated, and there is no limitation on this.

[0080] Optionally, in some embodiments, when calculating the stability feature parameter based on multiple consecutive sampled values, the variance of the multiple consecutive sampled values ​​can be used as the stability feature parameter. This ensures the clarity and accuracy of the stability feature parameter's indication of gait stability.

[0081] In other words, in this embodiment of the present disclosure, after obtaining the gait parameters of the target user after wearing the ankle-foot orthosis, a third parameter can be determined from the gait parameters, wherein the third parameter is used to describe the gait characteristics of the target user; multiple consecutive sampled values ​​of the third parameter are determined; and a stability feature parameter is calculated based on the multiple consecutive sampled values. Therefore, the calculation process of the stability feature parameter can be ensured to be applicable to personalized application scenarios, effectively improving the clarity of the obtained stability feature parameter indication.

[0082] S207: Generate gait correction assessment results based on symmetry characteristic parameters and stability characteristic parameters.

[0083] For a detailed description of S207, please refer to the above embodiments, which will not be repeated here.

[0084] In this embodiment, a first parameter and a second parameter are determined from the gait parameters. The first parameter describes the gait characteristics on the left side of the target user, and the second parameter describes the gait characteristics on the right side of the target user. The ratio of the first parameter and the second parameter is determined as a symmetry feature parameter. This ensures that the calculation process of the symmetry feature parameter is applicable to personalized application scenarios and guarantees the clarity of the resulting symmetry feature parameter. A third parameter is determined from the gait parameters. This third parameter describes the gait characteristics of the target user. Multiple consecutive sampled values ​​of the third parameter are determined. Based on these multiple consecutive sampled values, a stability feature parameter is calculated. This ensures that the calculation process of the stability feature parameter is applicable to personalized application scenarios and effectively improves the clarity of the resulting feature stability parameter.

[0085] Figure 3This is a schematic diagram of the gait correction effect evaluation device of the ankle-foot orthosis proposed in one embodiment of the present disclosure.

[0086] like Figure 3 As shown, the gait correction effect evaluation device 30 of the ankle-foot orthosis includes:

[0087] The acquisition module 301 is used to acquire gait parameters of the target user after wearing the ankle-foot orthosis, wherein the target user has symptoms of abnormal ankle-foot posture;

[0088] The first calculation module 302 is used to calculate the symmetry feature parameters of the target user based on the gait parameters, wherein the symmetry feature parameters are used to describe the left and right symmetry of the target user's gait.

[0089] The second calculation module 303 is used to calculate the stability characteristic parameters of the target user based on the gait parameters, wherein the stability characteristic parameters are used to describe the stability of the target user's gait.

[0090] The generation module 304 is used to generate gait correction evaluation results based on symmetry feature parameters and stability feature parameters.

[0091] It should be noted that the aforementioned explanation of the gait correction effect evaluation method for ankle-foot orthoses also applies to the gait correction effect evaluation device for ankle-foot orthoses in this embodiment, and will not be repeated here.

[0092] In this embodiment, gait parameters of the target user after wearing an ankle-foot orthosis are obtained, where the target user exhibits abnormal ankle-foot posture symptoms. Based on the gait parameters, symmetry characteristic parameters are calculated, which describe the left-right symmetry of the target user's gait. Stability characteristic parameters are also calculated based on the gait parameters, which describe the stability of the target user's gait. A gait correction assessment result is generated based on the symmetry and stability characteristic parameters. Therefore, by combining the symmetry and stability characteristic parameters of the target user after wearing the ankle-foot orthosis, an objective and accurate quantitative assessment of the gait correction effect of the ankle-foot orthosis on the target user can be achieved, thereby effectively improving the practicality of the obtained gait correction assessment result.

[0093] Figure 4 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. Figure 4 The computer device 12 shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments disclosed herein.

[0094] like Figure 4As shown, the computer device 12 is represented in the form of a general-purpose computing device. The components of the 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 connecting different system components (including system memory 28 and processing unit 16).

[0095] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0096] Computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0097] Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 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 used to read and write non-removable, non-volatile magnetic media (…). Figure 4 Not shown; usually referred to as a "hard drive".

[0098] although Figure 4Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disc drive for reading and writing to a removable non-volatile optical disc (e.g., a Compact Disc Read-Only Memory (CD-ROM), a Digital Video Disc Read-Only Memory (DVD-ROM), or other optical media). In these cases, each drive may be connected to bus 18 via one or more data media interfaces. 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 the embodiments of this disclosure.

[0099] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in 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 or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of this disclosure.

[0100] Computer device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable human interaction with the computer device 12, and / or with any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, computer device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0101] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the gait correction effect evaluation method of the ankle-foot orthosis mentioned in the foregoing embodiments.

[0102] To implement the above embodiments, this disclosure also proposes a non-transitory computer-readable storage medium storing a computer program that, when executed by a processor, implements the gait correction effect evaluation method for ankle-foot orthoses as proposed in the foregoing embodiments of this disclosure.

[0103] To implement the above embodiments, this disclosure also proposes a computer program product that, when the instruction processor in the computer program product is executed, performs the gait correction effect evaluation method for ankle-foot orthoses as proposed in the foregoing embodiments of this disclosure.

[0104] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0105] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

[0106] It should be noted that in the description of this disclosure, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this disclosure, unless otherwise stated, "a plurality of" means two or more.

[0107] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the function involved, as will be understood by those skilled in the art to which embodiments of this disclosure pertain.

[0108] It should be understood that various parts of this disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0109] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0110] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0111] The storage media mentioned above can be read-only memory, disk, or optical disk, etc.

[0112] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0113] Although embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for evaluating the gait correction effect of an ankle-foot orthosis, characterized in that, include: Gait parameters of a target user after wearing an ankle-foot orthosis are obtained, wherein the target user exhibits symptoms of abnormal ankle-foot posture; Based on the gait parameters, the symmetry feature parameters of the target user are calculated, wherein the symmetry feature parameters are used to describe the left-right symmetry of the target user's gait; Based on the gait parameters, the stability feature parameters of the target user are calculated, wherein the stability feature parameters are used to describe the stability of the target user's gait; Based on the symmetry feature parameters and the stability feature parameters, a gait correction assessment result is generated, wherein the gait correction assessment result is used to indicate the corrective effect of the ankle-foot orthosis, and the gait correction assessment result is positively correlated with the gait symmetry and stability of the target user. When the symmetry feature parameters and the stability feature parameters indicate that the gait symmetry and stability of the target user are better, the corrective effect of the ankle-foot orthosis is better. The step of calculating the symmetry feature parameters of the target user based on the gait parameters includes: A first parameter and a second parameter are determined from the gait parameters, wherein the first parameter is used to describe the gait characteristics on the left side of the target user, and the second parameter is used to describe the gait characteristics on the right side of the target user; The ratio of the first parameter to the second parameter is determined as the symmetry characteristic parameter; Wherein, when the first parameter is the distance parameter of the left support phase, the second parameter is the distance parameter of the right support phase; When the first parameter is the duration of the left support phase, the second parameter is the duration of the right support phase; The step of calculating the stability characteristic parameters of the target user based on the gait parameters includes: A third parameter is determined from the gait parameters, wherein the third parameter is used to describe the gait characteristics of the target user; Determine multiple consecutive sampled values ​​of the third parameter; Based on the consecutive multiple sampled values, the stability feature parameter is calculated, wherein the variance of the consecutive multiple sampled values ​​is used as the stability feature parameter. The third parameter includes any one of the following: Step length; Distance parameters of the left support phase; Distance parameters of the right support phase; The duration of the left support phase; The duration of the right support phase; The duration of the bipedal support phase.

2. A device for evaluating the gait correction effect of an ankle-foot orthosis, characterized in that, include: The acquisition module is used to acquire gait parameters of a target user after wearing an ankle-foot orthosis, wherein the target user exhibits symptoms of abnormal ankle-foot posture. The first calculation module is used to calculate the symmetry feature parameters of the target user based on the gait parameters, wherein the symmetry feature parameters are used to describe the left-right symmetry of the target user's gait; The second calculation module is used to calculate the stability feature parameters of the target user based on the gait parameters, wherein the stability feature parameters are used to describe the stability of the target user's gait. The generation module is used to generate gait correction evaluation results based on the symmetry feature parameters and the stability feature parameters. The gait correction evaluation results are used to indicate the corrective effect of the ankle-foot orthosis. The gait correction evaluation results are positively correlated with the gait symmetry and stability of the target user. When the symmetry feature parameters and the stability feature parameters indicate that the gait symmetry and stability of the target user are better, the corrective effect of the ankle-foot orthosis is better. The step of calculating the symmetry feature parameters of the target user based on the gait parameters includes: A first parameter and a second parameter are determined from the gait parameters, wherein the first parameter is used to describe the gait characteristics on the left side of the target user, and the second parameter is used to describe the gait characteristics on the right side of the target user; The ratio of the first parameter to the second parameter is determined as the symmetry characteristic parameter; Wherein, when the first parameter is the distance parameter of the left support phase, the second parameter is the distance parameter of the right support phase; When the first parameter is the duration of the left support phase, the second parameter is the duration of the right support phase; The step of calculating the stability characteristic parameters of the target user based on the gait parameters includes: A third parameter is determined from the gait parameters, wherein the third parameter is used to describe the gait characteristics of the target user; Determine multiple consecutive sampled values ​​of the third parameter; Based on the consecutive multiple sampled values, the stability feature parameter is calculated, wherein the variance of the consecutive multiple sampled values ​​is used as the stability feature parameter. The third parameter includes any one of the following: Step length; Distance parameters of the left support phase; Distance parameters of the right support phase; The duration of the left support phase; The duration of the right support phase; The duration of the bipedal support phase.

3. A computer device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of claim 1.

4. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, in, The computer instructions are used to cause the computer to perform the method of claim 1.

5. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the steps of the method according to claim 1.

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