Ankle foot orthosis parameter adjusting method based on digital model

Abstract

The invention provides an ankle foot orthosis parameter adjusting method based on a digital model, and the method comprises the steps: constructing a first fusion model which comprises a lower limb three-dimensional model of a target user and an initial orthosis three-dimensional model of an initial orthosis, and the target user has a lower limb abnormal symptom; a first parameter value, corresponding to the target walking parameter, of the target user wearing the initial ankle foot orthosis in the walking process is detected and obtained; orthosis parameter adjustment is conducted on the first fusion model according to the first parameter value, and a second fusion model is obtained; performing walking parameter prediction based on a second fusion model to obtain a second parameter value corresponding to the target walking parameter; and determining a target orthosis parameter according to the second parameter value. By implementing the method disclosed by the invention, on-line adjustment of related parameters of the ankle foot orthosis and accurate evaluation of the orthopedic effect after adjustment can be realized based on the digital model, so that the adaptation efficiency of the orthosis is improved while the adaptation cost of the orthosis is reduced.

Description

Technical Field

[0001] The present disclosure relates to the technical field of intelligent orthotics, and in particular to a method for adjusting ankle-foot orthosis parameters based on a digital model. Background Art

[0002] The adaptation of ankle-foot orthosis usually requires evaluation by a doctor, and then the type of orthosis and its structural parameters are determined based on experience. The rehabilitation effect can only be known after the orthosis is made and worn.

[0003] In the related art, if the doctor lacks experience, it will lead to repeated corrections, which will seriously affect the efficiency of orthosis fitting. Summary of the invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the purpose of the present invention is to propose a method, device, computer equipment and storage medium for adjusting ankle-foot orthosis parameters based on a digital model, which can realize online adjustment of ankle-foot orthosis related parameters and accurate evaluation of the adjusted orthotic effect based on the digital model, thereby reducing the orthotic adaptation cost while improving the orthotic adaptation efficiency.

[0006] To achieve the above-mentioned purpose, the first aspect of the present disclosure provides an ankle-foot orthosis parameter adjustment method based on a digital model, comprising:

[0007] Constructing a first fusion model, wherein the first fusion model includes: a three-dimensional model of lower limbs of a target user and an initial orthosis three-dimensional model of an initial orthosis, wherein the target user has lower limb abnormality symptoms;

[0008] Detecting and acquiring a first parameter value corresponding to a target walking parameter when the target user wears the initial ankle-foot orthosis during walking;

[0009] Adjusting orthosis parameters of the first fusion model according to the first parameter value to obtain a second fusion model;

[0010] Predicting walking parameters based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter;

[0011] According to the second parameter value, a target orthosis parameter is determined.

[0012] To achieve the above-mentioned purpose, the second aspect of the present disclosure provides an ankle-foot orthosis parameter adjustment device based on a digital model, comprising:

[0013] A model building module, configured to build a first fusion model, wherein the first fusion model includes: a three-dimensional model of lower limbs of a target user and an initial orthosis three-dimensional model of an initial orthosis, wherein the target user has lower limb abnormality symptoms;

[0014] An acquisition module, configured to detect and acquire a first parameter value corresponding to a target walking parameter when the target user wears the initial ankle-foot orthosis while walking;

[0015] a processing module, configured to adjust orthosis parameters of the first fusion model according to the first parameter value to obtain a second fusion model;

[0016] A prediction module, configured to predict walking parameters based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter;

[0017] A determination module is used to determine a target orthosis parameter according to the second parameter value.

[0018] The computer device proposed in the third aspect embodiment of the present disclosure includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the digital model-based ankle-foot orthosis parameter adjustment method proposed in the first aspect embodiment of the present disclosure is implemented.

[0019] The fourth aspect embodiment of the present disclosure proposes a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the ankle-foot orthosis parameter adjustment method based on a digital model as proposed in the first aspect embodiment of the present disclosure.

[0020] The fifth aspect of the present disclosure provides a computer program product. When the instructions in the computer program product are executed by a processor, the digital model-based ankle-foot orthosis parameter adjustment method provided in the first aspect of the present disclosure is performed.

[0021] The present disclosure provides a method, device, computer equipment and storage medium for adjusting the parameters of an ankle-foot orthosis based on a digital model. The method, device, computer equipment and storage medium are constructed by constructing a first fusion model, wherein the first fusion model includes: a three-dimensional model of the lower limbs of a target user and an initial orthosis three-dimensional model of an initial orthosis, and the target user has abnormal symptoms of the lower limbs; detecting and obtaining a first parameter value corresponding to the target walking parameter when the target user wears the initial ankle-foot orthosis during walking; adjusting the orthosis parameters of the first fusion model according to the first parameter value to obtain a second fusion model; predicting the walking parameters based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter; and determining the target orthosis parameters according to the second parameter value. Thus, online adjustment of the relevant parameters of the ankle-foot orthosis and accurate evaluation of the orthotic effect after adjustment can be achieved based on the digital model, thereby reducing the orthosis adaptation cost and improving the orthosis adaptation efficiency.

[0022] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0024] Figure 1 is a flow chart of a method for adjusting ankle-foot orthosis parameters based on a digital model according to an embodiment of the present disclosure;

[0025] Figure 2 is a flow chart of a method for adjusting ankle-foot orthosis parameters based on a digital model according to another embodiment of the present disclosure;

[0026] Figure 3 is a structural schematic diagram of an ankle-foot orthosis parameter adjustment device based on a digital model proposed in an embodiment of the present disclosure;

[0027] Figure 4 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0028] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.

[0029] Figure 1It is a flowchart of a method for adjusting ankle-foot orthosis parameters based on a digital model proposed in one embodiment of the present disclosure.

[0030] Among them, it should be noted that the executor of the ankle-foot orthosis parameter adjustment method based on digital model of this embodiment is an ankle-foot orthosis parameter adjustment device based on digital model, which can be implemented by software and / or hardware. The device can be configured in a computer device, and the computer device can include but is not limited to a terminal, a server, etc. For example, the terminal can be a mobile phone, a handheld computer, etc.

[0031] like Figure 1 As shown, the ankle-foot orthosis parameter adjustment method based on the digital model includes:

[0032] S101: Construct a first fusion model, wherein the first fusion model includes: a three-dimensional model of lower limbs of a target user and an initial orthosis three-dimensional model of an initial orthosis, and the target user has abnormal symptoms of lower limbs.

[0033] Among them, the first fusion model may refer to a fusion model constructed based on the three-dimensional model of the lower limbs of the target user and the initial orthosis three-dimensional model of the initial orthosis in the embodiment of the present disclosure, which can be used to simulate and digitally analyze the walking state of the target user after wearing the initial orthosis.

[0034] The target user may refer to any user with abnormal symptoms of lower limbs (for example, inversion of the foot, valgus of the foot, flat feet, etc.).

[0035] The lower limb three-dimensional model may refer to a model obtained by three-dimensionally modeling the lower limbs of the target user.

[0036] The initial orthosis may refer to an orthosis whose parameters are to be adjusted, and the orthosis may be an orthosis currently being used by the target user, or a general orthosis in a medical system, which is not limited.

[0037] The initial orthosis three-dimensional model may refer to a model obtained by three-dimensional modeling of the initial orthosis.

[0038] Optionally, in some embodiments, when constructing the first fusion model, the lower limbs of the target user may be digitally modeled to obtain a three-dimensional model of the lower limbs; the initial ankle-foot orthosis may be digitally modeled to obtain a three-dimensional model of the initial orthosis; a third parameter value corresponding to the target walking parameter when the target user is walking without wearing the initial ankle-foot orthosis is detected and obtained; and the first fusion model is constructed based on the three-dimensional model of the lower limbs, the three-dimensional model of the initial orthosis, and the third parameter value. In this way, the three-dimensional model of the lower limbs and the three-dimensional model of the initial orthosis can be combined to ensure the simulation effect of the obtained first fusion model on the target user and the initial orthosis, and reliable reference information can be provided for the prediction of the walking parameters of the first fusion model based on the third parameter value.

[0039] The target walking parameter may refer to a walking-related parameter used for lower limb abnormality diagnosis in the embodiment of the present disclosure. For example, it may be step length, step frequency, etc., which are not limited. The third parameter value refers to the parameter value obtained by sampling the target walking parameter when the target user is walking without wearing the initial ankle-foot orthosis.

[0040] In the disclosed embodiment, when the first fusion model is constructed, simulation of the target user's lower limbs and the initial orthosis can be achieved, thereby providing a reliable execution object for subsequent adjustment of orthosis parameters.

[0041] S102: Detect and obtain a first parameter value corresponding to a target walking parameter when the target user wears the initial ankle-foot orthosis while walking.

[0042] The first parameter value may refer to a value obtained by sampling the target walking parameter while the target user is walking while wearing the initial ankle-foot orthosis.

[0043] Optionally, in some embodiments, the target walking parameter includes at least one of the following: gait parameter; plantar pressure parameter; myoelectric parameter. Thus, it can be ensured that the target walking parameter is suitable for personalized application scenarios, and the flexibility and practicality of the orthosis parameter adjustment method are improved.

[0044] Among them, gait parameters refer to parameters used to describe the gait characteristics of the target user, for example, they may include spatiotemporal parameters (such as step length, step speed, stride, step width, etc.) and joint angles (such as the minimum flexion angle of the left knee, the maximum extension angle of the left knee, the minimum flexion angle of the right knee, the maximum extension angle of the right knee, the minimum flexion angle of the left ankle, the maximum extension angle of the left ankle, the minimum flexion angle of the right ankle and the maximum extension angle of the right ankle, etc.), and there is no restriction on this.

[0045] The plantar pressure parameter refers to the data obtained by performing pressure detection on multiple plantar sites (first metatarsal, fifth metatarsal, first toe, third toe, inner arch, outer arch, inner heel, outer heel, etc.) of the target user during walking. Alternatively, the plantar pressure parameter can be determined by determining the static and dynamic pressure center of the target user.

[0046] Among them, electromyographic parameters refer to the electrical signals generated by recording muscle activity through electrodes. Electromyographic data is used to analyze the degree of muscle activation, timing, and muscle coordination. For example, it may include parameters such as electromyographic signal strength, electromyographic signal timing, and muscle fatigue degree.

[0047] In the embodiment of the present disclosure, when the first parameter value corresponding to the target walking parameter of the target user wearing the initial ankle-foot orthosis during walking is detected and obtained, reliable reference information can be provided for subsequent adjustment of the orthosis parameters.

[0048] S103: Adjusting orthosis parameters of the first fusion model according to the first parameter value to obtain a second fusion model.

[0049] The second fusion model may refer to a fusion model obtained after the orthosis parameters are adjusted for the first fusion model in the embodiment of the present disclosure.

[0050] In the embodiment of the present disclosure, when adjusting the orthosis parameters of the first fusion model, the orthosis material type may be replaced, the shape may be adjusted, or other parameters may be adjusted, and there is no limitation on this.

[0051] That is to say, in the embodiment of the present disclosure, the orthosis parameters can be adjusted online on the first fusion model based on the first parameter value to simulate the orthosis parameter adjustment process, which can effectively reduce the orthosis parameter adjustment cost.

[0052] S104: Predicting walking parameters based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter.

[0053] The second parameter value refers to the parameter value corresponding to the target walking parameter obtained by predicting the walking parameter based on the second fusion model in the embodiment of the present disclosure.

[0054] That is to say, in the embodiment of the present disclosure, after obtaining the second fusion model, walking parameter prediction can be performed based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter, and the second parameter value can be used to evaluate the orthotic effect, thereby providing reliable reference information for the subsequent determination of the target orthotic device parameters.

[0055] S105: Determine target orthosis parameters according to the second parameter value.

[0056] The target orthosis parameters refer to the orthosis parameters that are finally determined to be suitable for the target user.

[0057] That is to say, in the embodiment of the present disclosure, after performing walking parameter prediction based on the second fusion model to obtain the second parameter value corresponding to the target walking parameter, the orthotic effect of the orthosis after parameter adjustment can be predicted online based on the second parameter value, and then the target orthotic parameter can be determined according to the predicted orthotic effect.

[0058] In this embodiment, a first fusion model is constructed, wherein the first fusion model includes: a three-dimensional model of the lower limbs of the target user and an initial orthosis three-dimensional model of the initial orthosis, and the target user has abnormal symptoms of the lower limbs; a first parameter value corresponding to the target walking parameter is detected and obtained when the target user wears the initial ankle-foot orthosis during walking; the orthosis parameter of the first fusion model is adjusted according to the first parameter value to obtain a second fusion model; the walking parameter is predicted based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter; and the target orthosis parameter is determined according to the second parameter value. Thus, the online adjustment of the relevant parameters of the ankle-foot orthosis and the accurate evaluation of the orthotic effect after adjustment can be realized based on the digital model, thereby reducing the orthosis adaptation cost and improving the orthosis adaptation efficiency.

[0059] Figure 2 FIG. 1 is a flow chart of a method for adjusting ankle-foot orthosis parameters based on a digital model according to another embodiment of the present disclosure. Figure 2 As shown, the ankle-foot orthosis parameter adjustment method based on the digital model includes:

[0060] S201: Construct a first fusion model, wherein the first fusion model includes: a three-dimensional model of lower limbs of a target user and an initial orthosis three-dimensional model of an initial orthosis, and the target user has abnormal symptoms of lower limbs.

[0061] S202: Detect and obtain a first parameter value corresponding to a target walking parameter when the target user wears the initial ankle-foot orthosis while walking.

[0062] The description of S201 and S202 can be specifically referred to the above embodiment, which will not be repeated here.

[0063] S203: Detect and obtain reference parameter values ​​corresponding to the target walking parameters of a reference user who is not wearing the initial ankle-foot orthosis during walking, wherein the reference user does not have abnormal symptoms of lower limbs.

[0064] Among them, the reference user may refer to a user who does not have abnormal symptoms of lower limbs. In the embodiment of the present disclosure, when selecting reference users, users similar to the target users may be selected as much as possible in combination with the relevant characteristics of the above-mentioned target users (such as age, gender, height, weight, etc.). Among them, the reference parameter value refers to the reference parameter value corresponding to the target walking parameter when the reference user is walking without wearing the initial ankle-foot orthosis. In the embodiment of the present disclosure, when determining the reference parameter value, it may be to determine the target walking parameter values ​​corresponding to multiple different reference users, and then determine the reference parameter value in combination with the multiple target walking parameter values. For example, the average value or mode of multiple target walking parameter values ​​may be determined as the reference parameter value.

[0065] In the embodiment of the present disclosure, when the reference parameter values ​​corresponding to the target walking parameters of the reference user who is not wearing the initial ankle-foot orthosis are detected and obtained during walking, reliable reference information can be provided for orthotic effect evaluation.

[0066] S204: Determine a first comparison result between the first parameter value and the reference parameter value.

[0067] The first comparison result may be used to indicate comparison information between the first parameter value and the reference parameter value, for example, the ratio or difference between the first parameter value and the reference parameter value, which is not limited.

[0068] In the embodiment of the present disclosure, when the first comparison result between the first parameter value and the reference parameter value is determined, an accurate assessment of the orthopedic effect of the initial orthosis can be achieved, thereby providing reliable reference information for subsequent orthosis parameter adjustment.

[0069] S205: Adjusting orthosis parameters of the first fusion model according to the first comparison result to obtain a second fusion model.

[0070] For example, in the implementation of the present disclosure, when the orthosis parameters of the first fusion model are adjusted according to the first comparison result to obtain the second fusion model, the parameters to be adjusted can be determined according to the first comparison result, and then the orthosis parameters are adjusted based on the parameters to be adjusted.

[0071] That is, in the embodiment of the present disclosure, the reference parameter value corresponding to the target walking parameter when the reference user is walking without wearing the initial ankle-foot orthosis can be detected and obtained, wherein the reference user does not have abnormal symptoms of the lower limbs; the first comparison result between the first parameter value and the reference parameter value is determined; and the orthosis parameter of the first fusion model is adjusted according to the first comparison result to obtain the second fusion model. Therefore, the orthosis parameter can be accurately adjusted in combination with the first comparison result between the first parameter value and the reference parameter value to ensure the practicality and reliability of the obtained second fusion model.

[0072] S206: Predicting walking parameters based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter.

[0073] The description of S206 can be specifically referred to the above embodiment, which will not be repeated here.

[0074] S207: Determine a second comparison result between the second parameter value and the reference parameter value.

[0075] The second comparison result may be used to indicate a comparison between the second parameter value and the reference parameter value.

[0076] In the disclosed embodiment, when the second comparison result between the second parameter value and the reference parameter value is determined, a reliable judgment basis can be provided for the subsequent determination of whether the orthosis parameters in the current second fusion model meet the orthosis requirements.

[0077] S208: If the second comparison result meets the preset conditions, the orthosis parameters in the second fusion model are used as target orthosis parameters.

[0078] The preset condition may refer to a condition pre-configured for the second comparison result, which may be used to determine whether the orthosis parameters in the second fusion model meet the orthosis requirements. For example, when the second comparison result is the difference between the second parameter value and the reference parameter value, the corresponding preset condition may be a difference value range.

[0079] That is, in the embodiment of the present disclosure, after the walking parameter prediction is performed based on the second fusion model to obtain the second parameter value corresponding to the target walking parameter, the second comparison result between the second parameter value and the reference parameter value can be determined; if the second comparison result meets the preset conditions, the orthosis parameters in the second fusion model are used as the target orthosis parameters. Thus, the target orthosis parameters can be quickly and accurately determined based on the second comparison result and the preset conditions to ensure the applicability of the obtained target orthosis parameters.

[0080] S209: If the second comparison result does not meet the preset condition, adjusting the orthosis parameters of the second fusion model according to the second comparison result to obtain a new second fusion model.

[0081] For example, in the embodiment of the present disclosure, the orthosis parameters can be corrected based on the three-point force principle through the collected plantar pressure data and joint flexion data.

[0082] That is, in the embodiment of the present disclosure, after determining the second comparison result between the second parameter value and the reference parameter value, if the second comparison result does not meet the preset condition, the orthosis parameters of the second fusion model are adjusted according to the second comparison result to obtain a new second fusion model. Thus, when the second comparison result does not meet the preset condition, the orthosis parameters in the second fusion model can be adjusted online to ensure the flexibility of the parameter adjustment process.

[0083] In this embodiment, a reference parameter value corresponding to the target walking parameter when the reference user is walking without wearing the initial ankle-foot orthosis is obtained by detection, wherein the reference user does not have abnormal symptoms of lower limbs; a first comparison result between the first parameter value and the reference parameter value is determined; and the orthosis parameters of the first fusion model are adjusted according to the first comparison result to obtain a second fusion model. Thus, the orthosis parameters can be accurately adjusted in combination with the first comparison result between the first parameter value and the reference parameter value to ensure the practicality and reliability of the obtained second fusion model. By determining the second comparison result between the second parameter value and the reference parameter value; if the second comparison result meets the preset conditions, the orthosis parameters in the second fusion model are used as the target orthosis parameters. Thus, the target orthosis parameters can be quickly and accurately determined based on the second comparison result and the preset conditions to ensure the applicability of the obtained target orthosis parameters. If the second comparison result does not meet the preset conditions, the orthosis parameters of the second fusion model are adjusted according to the second comparison result to obtain a new second fusion model. Thus, when the second comparison result does not meet the preset conditions, the orthosis parameters in the second fusion model can be adjusted online to ensure the flexibility of the parameter adjustment process.

[0084] Figure 3 It is a structural schematic diagram of an ankle-foot orthosis parameter adjustment device based on a digital model proposed in an embodiment of the present disclosure.

[0085] like Figure 3 As shown, the ankle-foot orthosis parameter adjustment device 30 based on the digital model includes:

[0086] The model building module 301 is used to build a first fusion model, wherein the first fusion model includes: a three-dimensional model of the lower limbs of a target user and an initial orthosis three-dimensional model of an initial orthosis, and the target user has lower limb abnormal symptoms;

[0087] An acquisition module 302 is used to detect and acquire a first parameter value corresponding to a target walking parameter when a target user wears an initial ankle-foot orthosis while walking;

[0088] A processing module 303 is used to adjust the orthosis parameters of the first fusion model according to the first parameter value to obtain a second fusion model;

[0089] A prediction module 304, configured to predict the walking parameter based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter;

[0090] The determination module 305 is used to determine the target orthosis parameter according to the second parameter value.

[0091] It should be noted that the aforementioned explanation of the ankle-foot orthosis parameter adjustment method based on the digital model is also applicable to the ankle-foot orthosis parameter adjustment device based on the digital model of this embodiment, and will not be repeated here.

[0092] In this embodiment, a first fusion model is constructed, wherein the first fusion model includes: a three-dimensional model of the lower limbs of the target user and an initial orthosis three-dimensional model of the initial orthosis, and the target user has abnormal symptoms of the lower limbs; a first parameter value corresponding to the target walking parameter is detected and obtained when the target user wears the initial ankle-foot orthosis during walking; the orthosis parameter of the first fusion model is adjusted according to the first parameter value to obtain a second fusion model; the walking parameter is predicted based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter; and the target orthosis parameter is determined according to the second parameter value. Thus, the online adjustment of the relevant parameters of the ankle-foot orthosis and the accurate evaluation of the orthotic effect after adjustment can be realized based on the digital model, thereby reducing the orthosis adaptation cost and improving the orthosis adaptation efficiency.

[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 only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0094] like Figure 4 As shown, the computer device 12 is 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, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

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

[0096] 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.

[0097] The 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. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 4 Not shown, often called a "hard drive").

[0098] although Figure 4 Not shown, a disk drive for reading and writing a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing a removable non-volatile optical disk (e.g., a compact disc read only memory (Compact Disc Read Only Memory; hereinafter referred to as: CD-ROM), a digital versatile disc read only memory (Digital Video Disc Read Only Memory; hereinafter referred to as: DVD-ROM) or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present disclosure.

[0099] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described in the present disclosure.

[0100] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a human body 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., network card, modem, etc.). Such communication may be performed via an input / output (I / O) interface 22. In addition, 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 other modules of the computer device 12 via a bus 18. It should be understood that, although not shown in the figure, 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, 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 ankle-foot orthosis parameter adjustment method based on the digital model mentioned in the above embodiment.

[0102] In order to implement the above embodiments, the present disclosure also proposes a non-temporary computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the digital model-based ankle-foot orthosis parameter adjustment method proposed in the above embodiments of the present disclosure is implemented.

[0103] In order to implement the above embodiments, the present disclosure further proposes a computer program product. When the instruction processor in the computer program product is executed, the ankle-foot orthosis parameter adjustment method based on the digital model proposed in the above embodiments of the present disclosure is executed.

[0104] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0105] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

[0106] It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "plurality" is two or more.

[0107] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0108] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0109] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0110] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0111] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0112] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0113] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A method for adjusting ankle-foot orthosis parameters based on a digital model, characterized in that: include: Constructing a first fusion model, wherein the first fusion model includes: a three-dimensional model of lower limbs of a target user and an initial orthosis three-dimensional model of an initial orthosis, wherein the target user has lower limb abnormality symptoms; Detecting and acquiring a first parameter value corresponding to a target walking parameter when the target user wears the initial ankle-foot orthosis during walking; Adjusting orthosis parameters of the first fusion model according to the first parameter value to obtain a second fusion model; Predicting walking parameters based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter; According to the second parameter value, a target orthosis parameter is determined.

2. The method according to claim 1, characterized in that The constructing of the first fusion model comprises: Digitally modeling the lower limbs of the target user to obtain a three-dimensional model of the lower limbs; Digitally modeling the initial ankle-foot orthosis to obtain a three-dimensional model of the initial orthosis; Detecting and acquiring a third parameter value corresponding to the target walking parameter when the target user is walking without wearing the initial ankle-foot orthosis; The first fusion model is constructed based on the lower limb three-dimensional model, the initial orthosis three-dimensional model and the third parameter value.

3. The method according to claim 1, characterized in that The adjusting the orthosis parameters of the first fusion model according to the first parameter value to obtain a second fusion model includes: Detecting and obtaining a reference parameter value corresponding to the target walking parameter when a reference user is walking without wearing the initial ankle-foot orthosis, wherein the reference user does not have the lower limb abnormality symptom; Determine a first comparison result between the first parameter value and the reference parameter value; The orthosis parameters of the first fusion model are adjusted according to the first comparison result to obtain the second fusion model.

4. The method according to claim 3, characterized in that Determining a target orthosis parameter according to the second parameter value includes: Determine a second comparison result between the second parameter value and the reference parameter value; If the second comparison result meets a preset condition, the orthosis parameters in the second fusion model are used as the target orthosis parameters.

5. The method according to claim 4, characterized in that The method further comprises: If the second comparison result does not meet the preset condition, the orthosis parameters of the second fusion model are adjusted according to the second comparison result to obtain a new second fusion model.

6. The method according to any one of claims 1 to 5, characterized in that: in, The target walking parameter includes at least one of the following: Gait parameters; Plantar pressure parameters; Electromyographic parameters.

7. A parameter adjustment device for ankle-foot orthosis based on digital model, characterized in that: include: A model building module, configured to build a first fusion model, wherein the first fusion model includes: a three-dimensional model of lower limbs of a target user and an initial orthosis three-dimensional model of an initial orthosis, wherein the target user has lower limb abnormality symptoms; An acquisition module, configured to detect and acquire a first parameter value corresponding to a target walking parameter when the target user wears the initial ankle-foot orthosis while walking; a processing module, configured to adjust orthosis parameters of the first fusion model according to the first parameter value to obtain a second fusion model; A prediction module, configured to predict walking parameters based on the second fusion model to obtain a second parameter value corresponding to the target walking parameter; A determination module is used to determine a target orthosis parameter according to the second parameter value.

8. 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, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: in, The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

Images