阅读说明：本技术 基于电刺激的手功能评估方法、装置、系统和可读介质 (Hand function evaluation method, device and system based on electric stimulation and readable medium ) 是由 金晶 左词立 雷硕 孙浩 李舒蕊 刘畅 王伟峰 王薇 于 2020-07-09 设计创作，主要内容包括：本申请提供了一种基于电刺激的手功能评估方法和装置。该方法包括以下步骤：对患者的健侧手进行电刺激参数不同的多次电刺激,并记录刚好使健侧手完全展开的临界电刺激参数及获取健侧手完全展开时的健侧手的空间位置数据；根据健侧手的空间位置数据得到健侧手的运动评估结果；对患者的患侧手进行临界电刺激参数的电刺激,并获取患侧手的空间位置数据；根据患侧手的空间位置数据得到患侧手的运动评估结果；以及根据健侧手的运动评估结果和患侧手的运动评估结果得到患侧手的手功能评估结果。该方法通过将患侧手功能状态与患者自身健侧手功能状态进行对比,实现了更客观地评估患侧手功能的状态,能够排除主观因素干扰以及个体差异等不利因素。(The application provides a hand function evaluation method and device based on electrical stimulation. The method comprises the following steps: performing multiple electrical stimulations with different electrical stimulation parameters on the healthy lateral hand of the patient, recording critical electrical stimulation parameters for completely unfolding the healthy lateral hand and acquiring spatial position data of the healthy lateral hand when the healthy lateral hand is completely unfolded; obtaining a motion evaluation result of the healthy side hand according to the spatial position data of the healthy side hand; performing electrical stimulation of critical electrical stimulation parameters on the affected hand of the patient, and acquiring spatial position data of the affected hand; obtaining a motion evaluation result of the affected hand according to the spatial position data of the affected hand; and obtaining a hand function evaluation result of the affected hand according to the motion evaluation result of the healthy hand and the motion evaluation result of the affected hand. The method realizes more objective evaluation of the functional state of the affected hand by comparing the functional state of the affected hand with the functional state of the healthy hand of the patient, and can eliminate adverse factors such as subjective factor interference and individual difference.)

1. An electrical stimulation-based hand function assessment method, comprising:

performing multiple electrical stimulations with different electrical stimulation parameters on a healthy lateral hand of a patient, recording critical electrical stimulation parameters for enabling the healthy lateral hand to be completely unfolded and acquiring spatial position data of the healthy lateral hand when the healthy lateral hand is completely unfolded;

obtaining a motion evaluation result of the side-exercising hand according to the space position data of the side-exercising hand;

performing electrical stimulation of the critical electrical stimulation parameters on the affected hand of the patient, and acquiring spatial position data of the affected hand;

obtaining a motion evaluation result of the affected hand according to the spatial position data of the affected hand; and

and obtaining a hand function evaluation result of the affected hand according to the motion evaluation result of the healthy hand and the motion evaluation result of the affected hand.

2. The method of claim 1, wherein the electrical stimulation is a nanoelectromechanical system stimulation mode, a functional electrical stimulation mode, or a transcutaneous electrical nerve stimulation mode.

3. The method of claim 1, wherein the electrical stimulation parameters include one or more of: stimulation waveform, current intensity, current frequency, and pulse width.

4. The method of claim 3, wherein the stimulation waveform is a single-sided wave, a double-sided wave, or a cross-wave; the range of the current intensity is 0-10m milliampere; the current frequency ranges from 1 to 100 Hz; the pulse width is in the range of 0-500 microseconds.

5. The method as claimed in claim 1, wherein the acquiring the spatial position data of the healthy lateral hand is performed by using an optical fiber sensor or an infrared sensor; and the acquisition of the spatial position data of the hand at the affected side is carried out by adopting an optical fiber sensor or an infrared sensor.

6. The method of claim 1, wherein the deriving the motion estimation of the robust hand from the spatial location data of the robust hand comprises:

repeating the first preset times of electrical stimulation of the critical electrical stimulation parameters on the healthy lateral hand and acquiring spatial position data of each time; and

taking a first average value of the spatial position data of the first preset times, and taking the first average value as a motion evaluation result of the healthy side hand;

the obtaining of the motion estimation result of the affected hand according to the spatial position data of the affected hand comprises:

repeatedly performing electrical stimulation on the critical electrical stimulation parameter for a second preset number of times on the affected hand and recording the spatial position data of each time; and

and taking a second average value of the spatial position data of the second preset times, and taking the second average value as a motion evaluation result of the affected hand.

7. The method as claimed in claim 1 or 6, wherein the spatial position data of the side-healthy hand is joint spatial information and/or joint position information of the side-healthy hand; and the spatial position data of the affected hand is joint spatial information and/or joint position information of the affected hand.

8. An electrical stimulation-based hand function assessment apparatus comprising:

the electrode slice is used for electrically stimulating the hand of the patient;

a sensor for acquiring spatial position data of the hand; and

the processor is used for controlling the electrode slice to carry out multiple times of electrical stimulation with different electrical stimulation parameters on the healthy side hand of the patient, recording critical electrical stimulation parameters for enabling the healthy side hand to be completely unfolded and controlling the sensor to acquire spatial position data of the healthy side hand when the healthy side hand is completely unfolded;

obtaining a motion evaluation result of the side-exercising hand according to the space position data of the side-exercising hand;

controlling the electrode slice to carry out electrical stimulation of the critical electrical stimulation parameters on the affected hand of the patient, and controlling the sensor to acquire spatial position data of the affected hand;

obtaining a motion evaluation result of the affected hand according to the spatial position data of the affected hand; and

and obtaining a hand function evaluation result of the affected hand according to the motion evaluation result of the healthy hand and the motion evaluation result of the affected hand.

9. The apparatus of claim 8, wherein the sensor is a fiber optic sensor or an infrared sensor.

10. The apparatus of claim 9, wherein the fiber optic sensor is a reflective intensity modulated fiber optic sensor.

11. An electrical stimulation-based hand function assessment system comprising: a memory for storing instructions executable by the processor; and a processor for executing the instructions to implement the method of any one of claims 1-7.

12. A computer-readable medium having stored thereon computer program code which, when executed by a processor, implements the method of any of claims 1-7.

Technical Field

The present application relates generally to the field of medical device technology, and more particularly, to a method, an apparatus, a system, and a readable medium for hand function assessment based on electrical stimulation.

Background

The limb movement disorder (hemiplegia) caused by the stroke or other nerve injury diseases often cause the functional loss of hands, which can bring inconvenience to life and work of patients and lose the ability of independent life of the patients in severe cases. The task of the rehabilitation doctor is to give the patient's hand the greatest functional recovery. Therefore, an objective evaluation of the degree of hand function loss and the result of hand function recovery is required before and after rehabilitation.

At this stage, the evaluation of the hand function of the patient is usually performed by a rehabilitation doctor through artificial observation and feeling of the hand function disorder and stiffness of the patient. Human observation and feeling are interfered by strong subjective factors, and the hand function cannot be objectively evaluated. Moreover, the hand functional status of patients varies among themselves, and it is not accurate enough to use the same unified standard to evaluate the hand functional status of different patients.

Therefore, how to more objectively and effectively evaluate the functional state of the affected hand of a patient, so that doctors and patients can more intuitively know the hand function rehabilitation effect is a problem to be solved urgently in modern rehabilitation medicine.

Disclosure of Invention

The technical problem to be solved by the application is to provide a hand function assessment method, device, system and readable medium based on electrical stimulation, which can objectively and effectively assess the function state of an affected hand of a patient and eliminate adverse factors such as subjective factor interference and individual difference.

In order to solve the above technical problem, the present application provides a hand function assessment method based on electrical stimulation, including: performing multiple electrical stimulations with different electrical stimulation parameters on a healthy lateral hand of a patient, recording critical electrical stimulation parameters for enabling the healthy lateral hand to be completely unfolded and acquiring spatial position data of the healthy lateral hand when the healthy lateral hand is completely unfolded; obtaining a motion evaluation result of the side-exercising hand according to the space position data of the side-exercising hand; performing electrical stimulation of the critical electrical stimulation parameters on the affected hand of the patient, and acquiring spatial position data of the affected hand; obtaining a motion evaluation result of the affected hand according to the spatial position data of the affected hand; and obtaining a hand function evaluation result of the affected hand according to the motion evaluation result of the healthy hand and the motion evaluation result of the affected hand.

Optionally, the electrical stimulation is a nano-electromechanical system stimulation mode, a functional electrical stimulation mode, or a transcutaneous electrical nerve stimulation mode.

Optionally, the electrical stimulation parameters include one or more of: stimulation waveform, current intensity, current frequency, and pulse width.

Optionally, the stimulation waveform is a single-sided wave, a double-sided wave, or an alternating wave; the range of the current intensity is 0-10m milliampere; the current frequency ranges from 1 to 100 Hz; the pulse width is in the range of 0-500 microseconds.

Optionally, the acquiring of the spatial position data of the healthy lateral hand is performed by using an optical fiber sensor or an infrared sensor; and the acquisition of the spatial position data of the hand at the affected side is carried out by adopting an optical fiber sensor or an infrared sensor.

Optionally, the obtaining a motion estimation result of the side-exercising hand according to the spatial position data of the side-exercising hand comprises: repeating the first preset times of electrical stimulation of the critical electrical stimulation parameters on the healthy lateral hand and acquiring spatial position data of each time; taking a first average value of the spatial position data of the first preset times, and taking the first average value as a motion evaluation result of the healthy side hand; the obtaining of the motion estimation result of the affected hand according to the spatial position data of the affected hand comprises: repeatedly performing electrical stimulation on the critical electrical stimulation parameter for a second preset number of times on the affected hand and recording the spatial position data of each time; and taking a second average value of the spatial position data of the second preset times, and taking the second average value as a motion evaluation result of the affected hand.

Optionally, the spatial position data of the side-exercising hand is joint spatial information and/or joint position information of the side-exercising hand; and the spatial position data of the affected hand is joint spatial information and/or joint position information of the affected hand.

In order to solve the above technical problem, the present application further provides a hand function assessment apparatus based on electrical stimulation, including: the electrode slice is used for electrically stimulating the hand of the patient; a sensor for acquiring spatial position data of the hand; the processor is used for controlling the electrode slice to carry out multiple times of electrical stimulation with different electrical stimulation parameters on the healthy side hand of the patient, recording critical electrical stimulation parameters just enabling the healthy side hand to be completely unfolded and controlling the sensor to acquire space position data of the healthy side hand when the healthy side hand is completely unfolded; obtaining a motion evaluation result of the side-exercising hand according to the space position data of the side-exercising hand; controlling the electrode slice to carry out electrical stimulation of the critical electrical stimulation parameters on the affected hand of the patient, and controlling the sensor to acquire spatial position data of the affected hand; obtaining a motion evaluation result of the affected hand according to the spatial position data of the affected hand; and obtaining a hand function evaluation result of the affected hand according to the motion evaluation result of the healthy hand and the motion evaluation result of the affected hand.

Optionally, the sensor is a fiber optic sensor or an infrared sensor.

Optionally, the optical fiber sensor is a reflective intensity modulation type optical fiber sensor.

In order to solve the above technical problem, the present application further provides a hand function evaluation system based on electrical stimulation, including: a memory for storing instructions executable by the processor; and a processor for executing the instructions to implement the method as described above.

To solve the above technical problem, the present application also provides a computer readable medium storing computer program code, which when executed by a processor implements the method as described above.

Compared with the prior art, the hand function evaluation method, the hand function evaluation device, the hand function evaluation system and the readable medium based on electrical stimulation respectively perform electrical stimulation of critical electrical stimulation parameters on the healthy side hand and the affected side hand of the patient to obtain the motion evaluation result, and then compare the motion evaluation result of the healthy side hand with the motion evaluation result of the affected side hand to perform hand function evaluation on the affected side hand, so that the state of the affected side hand function can be evaluated more objectively, and adverse factors such as subjective factor interference and individual difference can be eliminated. In addition, the data index acquired by the electrical stimulation can be effectively combined with subsequent rehabilitation treatment, and can be used for further guiding the setting of electrical stimulation parameters in the next evaluation.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the principle of the application. In the drawings:

fig. 1 is a schematic flow diagram illustrating a method for electrical stimulation-based hand function assessment according to an embodiment of the present application.

Fig. 2 is a block diagram illustrating an electrical stimulation-based hand function assessment apparatus according to an embodiment of the present application.

Fig. 3 is a system block diagram illustrating an electrical stimulation-based hand function assessment system according to an embodiment of the present application.

FIG. 4 is a model "angle-voltage" characteristic curve of a single fiber versus model light intensity modulation characteristic function based on plastic fiber.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.

As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.

The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, various steps may be processed in reverse order or simultaneously. Meanwhile, other operations are added to or removed from these processes.

The application provides a hand function assessment method based on electrical stimulation. Fig. 1 is a schematic flow diagram illustrating a method for electrical stimulation-based hand function assessment according to an embodiment of the present application. As shown in fig. 1, the electrical stimulation-based hand function assessment method includes the steps of:

step 101, performing multiple electrical stimulations with different electrical stimulation parameters on a healthy lateral hand of a patient, recording critical electrical stimulation parameters for completely unfolding the healthy lateral hand and acquiring spatial position data of the healthy lateral hand when the healthy lateral hand is completely unfolded;

102, obtaining a motion evaluation result of the healthy hand according to the spatial position data of the healthy hand;

103, performing electrical stimulation of critical electrical stimulation parameters on the affected hand of the patient, and acquiring spatial position data of the affected hand;

104, obtaining a motion evaluation result of the affected hand according to the spatial position data of the affected hand; and

and 105, obtaining a hand function evaluation result of the affected hand according to the motion evaluation result of the healthy hand and the motion evaluation result of the affected hand.

In step 101, the hand function evaluation system based on electrical stimulation performs electrical stimulation with different electrical stimulation parameters on the healthy side hand of the patient for a plurality of times until a critical electrical stimulation parameter which can just enable the healthy side hand to be completely unfolded is found and recorded. In one example, the system may provide for the continuous increase of electrical stimulation until the patient's healthy lateral hand is fully deployed. It is noted that the purpose of performing multiple electrical stimulations with different electrical stimulation parameters in this application is to determine the critical point of the electrical stimulation parameters that is just able to fully deploy a healthy lateral hand. Therefore, the variation pattern of the electrical stimulation parameter in the present application includes but is not limited to monotone increasing or strictly monotone increasing, and other variation patterns of the electrical stimulation parameter should also be within the protection scope of the present application. Then, when the healthy lateral hand is completely unfolded under the electric stimulation effect of the critical electric stimulation parameters, the system acquires the spatial position data of the healthy lateral hand. Alternatively, the spatial position data of the healthy-side hand may be joint spatial information and/or joint position information of the healthy-side hand, and the motion and position of the healthy-side hand can be determined.

Alternatively, the Electrical Stimulation may be Nano-Electromechanical System (NMES) Stimulation mode, Functional Electrical Stimulation (FES) mode, or Transcutaneous Electrical Nerve Stimulation (TENS) mode. Optionally, the electrical stimulation parameters may include one or more of: stimulation waveform, current intensity, current frequency, and pulse width. Alternatively, the stimulus waveform may be a single-sided wave, a double-sided wave, or an alternating wave; the current intensity may range from 0-10m milliamps (RMS value, i.e. effective value); the current frequency may range from 1 to 100 hertz; the pulse width ranges from 0-500 microseconds.

Alternatively, the system may use fiber optic sensors or infrared sensors for detection to acquire the spatial position data of the healthy hand. When the optical fiber sensor is adopted, the healthy side hand of the patient can wear the glove with the built-in optical fiber sensor, and the space position data of the healthy side hand of the patient can be measured through the photoelectric signal of the optical fiber in the glove. When an infrared sensor is employed, the infrared sensor may be an external infrared optical positioning system. When the hands of the patient are completely unfolded, the value of the optical fiber sensor reaches a peak value, or the angle information obtained by the infrared sensor confirms that the hands are completely unfolded, and then the system can judge that the healthy side hands of the patient are completely unfolded.

In step 102, the system obtains the exercise evaluation result of the healthy hand according to the spatial position data of the healthy hand. Optionally, the system may obtain the average motion estimation result of the robust hand according to the spatial position data of the robust hand for a plurality of times, and specifically may include the following steps: repeatedly performing electric stimulation on the healthy lateral hand for a first preset number of times on the critical electric stimulation parameters and acquiring space position data every time; and taking a first average value of the spatial position data of the first preset times, and taking the first average value as a motion evaluation result of the healthy hand. In one example, the first preset number may be 3.

In step 103, the system performs electrical stimulation of the electrical stimulation parameters for the affected hand of the patient when the healthy hand is fully deployed and acquires spatial position data of the affected hand. Alternatively, the spatial position data of the affected hand may be joint spatial information and/or joint position information of the affected hand, similar to the acquisition of the spatial position data of the healthy hand.

Alternatively, similar to the acquisition of the spatial position data of the healthy lateral hand, the acquisition of the spatial position data of the affected lateral hand may be detection using an optical fiber sensor or an infrared sensor. When the optical fiber sensor is adopted, the patient's affected hand can be put on a glove with the optical fiber sensor inside, and the spatial position data of the patient's affected hand can be measured through the photoelectric signal of the optical fiber inside the glove. When an infrared sensor is employed, the infrared sensor may be an external infrared optical positioning system. When the hand of the patient is completely unfolded, the value of the optical fiber sensor reaches a peak value, or the angle information obtained by the infrared sensor confirms that the hand is completely unfolded, and then the system can judge that the affected hand of the patient is completely unfolded.

In step 104, the system obtains the motion estimation result of the affected hand according to the spatial position data of the affected hand. Optionally, similar to obtaining the motion estimation result of the healthy lateral hand, the system may obtain the average motion estimation result of the affected lateral hand according to the spatial position data of the affected lateral hand for a plurality of times, and specifically may include the following steps: repeatedly performing electrical stimulation on the critical electrical stimulation parameter of the affected hand for a second preset number of times and recording the spatial position data of each time; and taking a second average value of the spatial position data of the second preset times, and taking the second average value as a motion evaluation result of the affected hand. In one example, the second preset number may be 3.

In step 105, the system obtains a hand function evaluation result of the affected hand according to the motion evaluation result of the healthy hand and the motion evaluation result of the affected hand. The state of the function of the affected hand can be accurately and objectively evaluated by comparing the motion evaluation result of the healthy hand with the motion evaluation result of the affected hand.

In summary, in the hand function assessment method based on electrical stimulation according to the embodiment, the electrical stimulation of the same critical electrical stimulation parameter is performed on the healthy-side hand and the affected-side hand of the patient respectively to obtain the motion assessment result, and then the motion assessment result of the healthy-side hand and the motion assessment result of the affected-side hand are compared to perform hand function assessment on the affected-side hand. There is a varying degree of correlation between the stimulation of the muscle by the current and the state of muscle activity and function. The patient is assisted by electrical stimulation to complete actions such as grasping and hand stretching, and then the functional state of the affected hand is compared with the functional state of the healthy hand of the patient, so that the functional state of the affected hand can be objectively evaluated, and adverse factors such as subjective factor interference and individual difference can be eliminated. In addition, the data index acquired by the electrical stimulation can be effectively combined with subsequent rehabilitation treatment, and can be used for further guiding the setting of electrical stimulation parameters in the next evaluation.

The application also provides a hand function assessment device based on electrical stimulation. Fig. 2 is a block diagram illustrating an electrical stimulation-based hand function assessment apparatus according to an embodiment of the present application. As shown in fig. 2, the electrical stimulation-based hand function evaluation device 200 includes an electrode pad 201, a sensor 202, and a processor 203.

The electrostimulation-based hand function assessment device may be a pair of one-piece gloves. The one-piece glove may have built-in electrode pads, and sensors or partial elements of sensors. In one example, a one-piece glove may cover the forearm and hand, with the forearm portion including electrode pads for electrical stimulation and the glove portion having position detection sensors embedded therein.

The electrode pad 201 is used for electrically stimulating the hand of the patient. The position, size and the quantity of electrode slice can set up and adjust in order to reach the best electro photoluminescence effect according to the hand action of difference and the muscle crowd that bends and stretches used, and this application does not do not limit to this. The material of the electrode sheet may include, but is not limited to, conductive metal sheet, carbon silicone rubber electrode sheet, etc.

The sensors 202 are used to acquire spatial position data of the hand. Alternatively, the sensor 202 may be a fiber optic sensor or an infrared sensor. The number, position and type of the sensors 202 can be set according to actual needs, and the present application is not limited thereto.

When the sensor 202 is an infrared sensor, the infrared sensor may be composed of an external infrared optical positioning system and a reflective ball or a planar reflective sticker attached to joints of the hand, and the infrared sensor may calculate the motion amplitude of each joint of the hand according to an infrared reflective positioning principle to obtain spatial position data of the hand.

When the sensor 202 is a fiber optic sensor, the fiber optic sensor may be embedded inside the glove with multiple optical fibers wrapped around each joint of the hand. One end of the optical fiber is a light source, and the other end of the optical fiber is a light sensor for recording the action amplitude of the hand of the patient after electric stimulation. The values of the fiber optic sensors peak when the patient's hand is fully extended.

In one example, the fiber optic sensor may incorporate an optoelectronic signal processing system that may include modules for light source modulation and drive circuitry, photodetection circuitry, pre-amplification circuitry, band pass filter circuitry, data acquisition systems, and the like. The principle of the optical fiber sensor for measuring the bending angle of the finger is as follows:

a plurality of optical fibers are embedded in each finger sleeve of the pair of integrated gloves, and one end of each optical fiber is connected with a light source. The detection of the light to be measured is realized by detecting the change of the output light intensity of the optical fiber output end by utilizing the change of the transmission light field intensity in the optical fiber caused by the interference of the physical quantity to be measured. Therefore, a series of physical deformations of the optical fiber caused by the hand movement of the patient, including bending, axial tension displacement, etc., directly changes the characteristic parameters (such as wavelength, frequency, phase, intensity, polarization state, etc.) of the light wave transmitted in the optical fiber. Alternatively, the sensor 202 may be an intensity-modulated optical fiber sensor, which can detect the change of the light wave signal of the optical fiber in the glove in real time and calculate the bending state of the finger of the patient through a specific model. The intensity modulation type optical fiber sensor includes a reflection type, a transmission type, a refractive index, an optical absorption coefficient, and a microbend loss type. Further, the sensor 202 may be a reflective intensity modulation type optical fiber sensor.

In one example, the application describes the emergent light field of the plastic optical fiber by a quasi-Gaussian distribution model, establishes a theoretical model of a single optical fiber based on the plastic optical fiber on a model light intensity modulation characteristic function, and simulates and experimentally analyzes the influence rule of various characteristic parameters on the intensity modulation characteristic of the sensor. FIG. 4 is an "angle-voltage" characteristic curve of a theoretical model of a single fiber versus model light intensity modulation characteristic function based on plastic optical fibers. As shown in fig. 4, the forward slope linear section of the "angle-voltage" characteristic curve of the model has high angle sensitivity, and is particularly suitable for performing small-range and high-precision angle measurement of a finger in the present application.

The processor 203 is used for controlling the electrode slice to carry out multiple times of electrical stimulation with different electrical stimulation parameters on the healthy side hand of the patient, recording the critical electrical stimulation parameters just enabling the healthy side hand to be completely unfolded and controlling the sensor to acquire the spatial position data of the healthy side hand when the healthy side hand is completely unfolded; obtaining a motion evaluation result of the healthy side hand according to the spatial position data of the healthy side hand; controlling the electrode slice to carry out electric stimulation of critical electric stimulation parameters on the affected hand of the patient, and controlling the sensor to acquire spatial position data of the affected hand; obtaining a motion evaluation result of the affected hand according to the spatial position data of the affected hand; and obtaining a hand function evaluation result of the affected hand according to the motion evaluation result of the healthy hand and the motion evaluation result of the affected hand. A

The processor 203 may be comprised of one or more processors. The processor 203 may be one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), digital signal processing devices (DAPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, or a combination thereof. When the hand function evaluation device based on electrical stimulation comprises a pair of integrated gloves, the processor can be completely arranged in the integrated gloves, only part of elements can be arranged in the integrated gloves, and the integrated gloves can be separated from the integrated gloves and connected in a wired or wireless mode.

The steps executed by the processor 203 can refer to the corresponding description of the steps 101-105 of the embodiment of fig. 1, and will not be described herein.

The present application further provides a hand function evaluation system based on electrical stimulation, including: a memory for storing instructions executable by the processor; and a processor for executing the instructions to implement the method of any of the above embodiments.

Fig. 3 is a system block diagram illustrating an electrical stimulation-based hand function assessment system according to an embodiment of the present application. Electrostimulation-based hand function assessment system 300 can include internal communication bus 301, Processor (Processor)302, Read Only Memory (ROM)303, Random Access Memory (RAM)304, and communication port 305. When applied on a personal computer, the electrostimulation-based hand function assessment system may also include a hard disk 307. The internal communication bus 301 may enable data communication among the components of the electrostimulation-based hand function assessment system 300. Processor 302 may make the determination and issue a prompt. In some embodiments, processor 302 may be comprised of one or more processors. The communication port 305 may enable data communication of the electrostimulation-based hand function assessment system 300 with the outside. In some embodiments, the electrostimulation-based hand function assessment system 300 can send and receive information and data from the network through the communication port 305. The electrostimulation-based hand function assessment system 300 may also include various forms of program storage units and data storage units, such as a hard disk 307, Read Only Memory (ROM)303 and Random Access Memory (RAM)304, capable of storing various data files for computer processing and/or communication use, as well as possible program instructions for execution by the processor 302. The processor executes these instructions to implement the main parts of the method. The results processed by the processor are communicated to the user device through the communication port and displayed on the user interface.

The above-mentioned electrostimulation-based hand function assessment method may be implemented as a computer program, stored in the hard disk 307, and may be recorded in the processor 302 for execution to implement the electrostimulation-based hand function assessment method in the present application.

The present application also provides a computer readable medium having stored thereon computer program code which, when executed by a processor, implements a method as described in any of the embodiments above.

The electrostimulation-based hand function assessment method, when implemented as a computer program, may also be stored in a computer-readable storage medium as an article of manufacture. For example, computer-readable storage media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., Compact Disk (CD), Digital Versatile Disk (DVD)), smart cards, and flash memory devices (e.g., electrically Erasable Programmable Read Only Memory (EPROM), card, stick, key drive). In addition, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term "machine-readable medium" can include, without being limited to, wireless channels and various other media (and/or storage media) capable of storing, containing, and/or carrying code and/or instructions and/or data.

It should be understood that the above-described embodiments are illustrative only. The embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), processors, controllers, micro-controllers, microprocessors, and/or other electronic units designed to perform the functions described herein, or a combination thereof.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing disclosure is by way of example only, and is not intended to limit the present application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.

Aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. The processor may be one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), digital signal processing devices (DAPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or a combination thereof. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips … …), optical disks (e.g., Compact Disk (CD), Digital Versatile Disk (DVD) … …), smart cards, and flash memory devices (e.g., card, stick, key drive … …).

Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Although the present application has been described with reference to the present specific embodiments, it will be recognized by those skilled in the art that the foregoing embodiments are merely illustrative of the present application and that various changes and substitutions of equivalents may be made without departing from the spirit of the application, and therefore, it is intended that all changes and modifications to the above-described embodiments that come within the spirit of the application fall within the scope of the claims of the application.