Electrical stimulation thumbtack needle system and method

Abstract

The invention provides an electrical stimulation thumbtack needle system and method, and the method comprises the steps: determining the change gradient of the muscle contraction intensity of a target user through the median frequency feature of an electromyographic signal on the skin surface of the target user, and further determining the muscle fatigue feature of the target user; determining the change trend of the skin resistance of the target user according to the fluctuation characteristics of the skin resistance in the skin resistance data of the target user and the environmental temperature and humidity of the target user, and determining the tolerance index of the target user to electrical stimulation according to the muscle fatigue characteristics and the change trend of the skin resistance; the parameter deviation of each thumbtack needle of the electrical stimulation thumbtack needle equipment in the electrical stimulation process is determined; and based on all the parameter deviations, adjusting electrical stimulation parameter information of the electrical stimulation thumbtack needle equipment, and controlling the electrical stimulation thumbtack needle equipment to continuously perform electrical stimulation on the target user. By adopting the scheme, the stimulation parameters of the electrical stimulation thumbtack needle equipment can be dynamically adjusted according to the real-time physiological data of the user.

Description

Technical Field

[0001] The present application relates to the field of electrical stimulation technology, and more specifically, to an electrical stimulation needle pressing system and method. Background Art

[0002] The core of electrical stimulation is to introduce electric current into biological tissues through electrodes. The electric current will generate an electric field in the tissues, thereby affecting the potential changes of the cell membrane. For example, when electric current stimulates nerve cells, it can trigger the generation or conduction of action potentials; when stimulating muscles, it can cause muscle contraction.

[0003] Electric stimulation acupuncture is a treatment method that combines electrical stimulation and traditional acupuncture (acupuncture). It is widely used in rehabilitation medicine, pain management, sports medicine and other fields. Traditional acupuncture mainly relies on manual operation, while electric stimulation acupuncture applies electric current through electric stimulation acupuncture equipment to enhance the treatment effect. However, the existing electric stimulation acupuncture technology has the following problems: Lack of personalization: The intensity and frequency of electrical stimulation are usually fixed and cannot be adjusted according to the user's real-time physiological state, resulting in unstable treatment effects, tolerance differences: Different users have different tolerance to electrical stimulation, and fixed parameters may cause some users to feel uncomfortable or have poor effects, and lack of real-time feedback: Traditional methods lack real-time monitoring and feedback of physiological indicators such as user muscle status and skin status, making it difficult to dynamically adjust stimulation parameters. Therefore, how to dynamically adjust the stimulation parameters of electric stimulation acupuncture equipment according to the user's real-time physiological data has become a problem faced by the industry. Summary of the invention

[0004] The present application provides an electrical stimulation needle pressing system and method, which can dynamically adjust the stimulation parameters of the electrical stimulation needle pressing device according to the user's real-time physiological data.

[0005] In a first aspect, the present application provides a method for adjusting parameters of an electric stimulation needle, comprising the following steps: Using the electrical stimulation needle pressing device to perform rehabilitation training on a target user with sports injuries, and collecting the target user's electromyographic signal and skin resistance data when the electrical stimulation needle pressing device applies electrical stimulation to the target user; Determining the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency characteristics of the electromyographic signal, and then performing muscle fatigue analysis on the target user according to the change gradient of the muscle contraction intensity to obtain the muscle fatigue characteristics of the target user; Determine the change trend of the target user's skin resistance based on the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user, perform tolerance analysis on the state of the target user during the electrical stimulation process based on the muscle fatigue characteristics and the change trend of the skin resistance, and obtain the target user's tolerance index to electrical stimulation; Based on the insertion depth of each press needle in the electrical stimulation press needle device and the tolerance index of the target user to electrical stimulation, the adaptability of the electrical stimulation of the target user is evaluated, and then the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process is obtained; The electrical stimulation parameter information of the electrical stimulation needle pressing device is adjusted based on all parameter deviations, and the electrical stimulation needle pressing device is controlled to continue to perform electrical stimulation on the target user.

[0006] In some embodiments, determining the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency feature of the electromyographic signal specifically includes: Preprocessing the electromyographic signal to obtain a median frequency characteristic of the electromyographic signal; The change gradient of the muscle contraction intensity of the target user during the electrical stimulation process is determined according to the median frequency feature.

[0007] In some embodiments, muscle fatigue analysis is performed on the target user according to the change gradient of the muscle contraction intensity, and the muscle fatigue characteristics of the target user are obtained specifically including: Extracting multiple contraction change values ​​of the target user's muscles during electrical stimulation from the change gradient of the muscle contraction intensity; The muscle fatigue characteristics of the target user are determined through all contraction change values.

[0008] In some embodiments, determining the change trend of the target user's skin resistance based on the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user specifically includes: The ambient temperature and humidity of the target user are collected through the temperature and humidity sensor; determining a fluctuation characteristic of skin resistance in the skin resistance data; Determining the moisture change entropy of the target user's skin according to the fluctuation characteristics; Determine the temperature and humidity influence coefficient according to the ambient temperature and humidity; The change trend of the target user's skin resistance is determined by the moisture change entropy and the temperature and humidity influence coefficient.

[0009] In some embodiments, the tolerance analysis of the state of the target user during the electrical stimulation process is performed through the muscle fatigue characteristics and the change trend of the skin resistance, and the tolerance index of the target user to the electrical stimulation is obtained, which specifically includes: Determining the skin condition value of the target user during the electrical stimulation process according to the change trend of the skin resistance; The tolerance index of the target user to electrical stimulation is determined based on the skin state value and the muscle fatigue characteristic.

[0010] In some embodiments, based on the insertion depth of each press needle in the electrical stimulation press needle device and the target user's tolerance index to electrical stimulation, the adaptability of the electrical stimulation of the target user is evaluated, and the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process is obtained, which specifically includes: Collecting the insertion depth of each needle in the electrical stimulation needle device; Obtaining electrical stimulation parameter information of each needle; Determining the depth adaptability of each push pin according to the insertion depth and the target user's tolerance index to electrical stimulation; The parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process is determined through all the depth adaptations and all the parameter information.

[0011] In some embodiments, adjusting the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations and controlling the electrical stimulation needle pressing device to continue to perform electrical stimulation on the target user specifically includes: Adjusting the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations to obtain adjusted parameter information; Obtaining an electrical stimulation program of the electrical stimulation needle pressing device; Adjusting the electrical stimulation scheme according to the adjusted parameter information to obtain an adjusted electrical stimulation scheme; The adjusted electrical stimulation scheme is input into the electrical stimulation needle pressing device, and the electrical stimulation needle pressing device is continuously controlled to perform electrical stimulation on the target user.

[0012] In a second aspect, the present application provides an electrical stimulation needle pressing system, the electrical stimulation needle pressing system includes a parameter adjustment unit, and the parameter adjustment unit includes: A collection module is used to collect the target user's electromyographic signal and skin resistance data when the electrical stimulation needle pressing device applies electrical stimulation to the target user after the target user has been subjected to rehabilitation training using the electrical stimulation needle pressing device; a processing module, configured to determine the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency characteristics of the electromyographic signal, and then perform muscle fatigue analysis on the target user according to the change gradient of the muscle contraction intensity to obtain the muscle fatigue characteristics of the target user; The processing module is further used to determine the change trend of the target user's skin resistance based on the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user, and to perform tolerance analysis on the state of the target user during the electrical stimulation process based on the muscle fatigue characteristics and the change trend of the skin resistance to obtain the target user's tolerance index to electrical stimulation; The processing module is further used to evaluate the adaptability of the electrical stimulation of the target user based on the insertion depth of each press needle in the electrical stimulation press needle device and the tolerance index of the target user to electrical stimulation, and then obtain the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process; An execution module is used to adjust the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations, and control the electrical stimulation needle pressing device to continue to perform electrical stimulation on the target user.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned method for adjusting the parameters of the electrical stimulation needle.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for adjusting the parameters of the electrical stimulation needle is implemented.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In the electrical stimulation acupuncture system and method provided by the present application, firstly, an electrical stimulation acupuncture device is used to perform rehabilitation training on a target user with sports injuries, and the electromyographic signal and skin resistance data of the target user are collected when the electrical stimulation acupuncture device applies electrical stimulation to the target user; the gradient of the change of the muscle contraction intensity of the target user during the electrical stimulation is determined according to the median frequency characteristics of the electromyographic signal, and then the muscle fatigue analysis of the target user is performed according to the gradient of the change of the muscle contraction intensity to obtain the muscle fatigue characteristics of the target user; the skin resistance of the target user is determined according to the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user. The target user's skin resistance is varied, and a tolerance analysis is performed on the target user's state during the electrical stimulation process through the muscle fatigue characteristics and the variation trend of the skin resistance, so as to obtain the target user's tolerance index to electrical stimulation; based on the insertion depth of each press needle in the electrical stimulation press needle device and the target user's tolerance index to electrical stimulation, an adaptability evaluation is performed on the target user's electrical stimulation, so as to obtain the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process; based on all the parameter deviations, the electrical stimulation parameter information of the electrical stimulation press needle device is adjusted, and the electrical stimulation press needle device is controlled to continue to perform electrical stimulation on the target user.

[0016] It can be seen that in the process of electrical stimulation and acupuncture, firstly, by real-time collection of electromyographic signals and skin resistance data, the system can dynamically adjust the electrical stimulation parameters to ensure that the electrical stimulation is always at the optimal level suitable for the user's current state, thereby improving the treatment effect; then, by analyzing the median frequency characteristics of the electromyographic signals and the fluctuation characteristics of the skin resistance, the system can accurately evaluate the user's muscle fatigue level and tolerance, thereby providing a personalized electrical stimulation plan and optimizing the rehabilitation effect; then, through muscle fatigue analysis, the system can monitor the changing gradient of muscle contraction intensity in real time, adjust the electrical stimulation intensity in time, avoid excessive muscle fatigue or injury, and improve the safety of treatment; thus, combined with skin electricity Based on the fluctuation characteristics of the resistance and the environmental temperature and humidity data, the system can more accurately evaluate the user's tolerance to electrical stimulation and avoid discomfort or side effects caused by environmental changes or individual differences. Based on the insertion depth of the press needle and the user's tolerance index, the system can evaluate and adjust the parameter deviation of each press needle to ensure the uniformity and effectiveness of electrical stimulation and improve the overall treatment effect. Finally, based on all parameter deviations, the electrical stimulation parameter information of the electrical stimulation press needle device is adjusted, and the electrical stimulation press needle device is controlled to continue to electrically stimulate the target user. Through tolerance analysis and dynamic parameter adjustment, the system can ensure that the electrical stimulation is always within the acceptable range for the user, thereby improving the user's comfort and treatment experience. With the above scheme, the stimulation parameters of the electrical stimulation press needle device can be dynamically adjusted according to the user's real-time physiological data. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is an exemplary flow chart of a method for adjusting parameters of an electric stimulation needle press according to some embodiments of the present application; Figure 2 is a treatment step diagram of the electrical stimulation needle pressing device according to some embodiments of the present application; Figure 3 is an exemplary flow chart of determining a change trend of skin resistance according to some embodiments of the present application; Figure 4 is a schematic structural diagram of an electrical stimulation needle pressing system according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a parameter adjustment method for electrical stimulation needle pressing according to some embodiments of the present application. DETAILED DESCRIPTION In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1, which is an exemplary flow chart of a method for adjusting parameters of an electric stimulation needle press according to some embodiments of the present application. The method 100 for adjusting parameters of an electric stimulation needle press mainly includes the following steps: In step 101, rehabilitation training is performed on a target user with sports injuries using an electrical stimulation acupuncture device, and electromyographic signals and skin resistance data of the target user are collected when the electrical stimulation acupuncture device applies electrical stimulation to the target user.

[0020] It should be noted that the electrical stimulation needle press device enhances the stimulation effect on the acupoints by applying a pulse current on the needle handle or needle body of the needle. The device uses electrical stimulation instead of traditional manual stimulation, can act on the acupoints more accurately, and enhance the treatment effect; in some embodiments, the electrical stimulation needle press device is used to perform rehabilitation training for target users with sports injuries. After the initial electrical stimulation is applied to the target user by the electrical stimulation needle press device, the target user's surface electromyography sensor is used to collect the target user's electromyography signal in real time, and the skin resistance sensor integrated in the electrical stimulation needle press device is used to collect all the target user's skin resistance during the electrical stimulation process in real time, and the collection of all skin resistances is used as skin resistance data; in other embodiments, other methods of collection can also be used, which will not be elaborated here.

[0021] It should be noted that the electromyographic signal in the present application represents the signal of the action potential of the muscle fiber caused by the user during the electrical stimulation process, which can be used to analyze the muscle response of the target user during the electrical stimulation process; the skin resistance in the skin resistance data represents the resistance of the skin of the target user when electrical stimulation is performed at the current moment.

[0022] In some embodiments, reference Figure 2 As shown in FIG. 1 , this figure is a treatment step diagram of the electrical stimulation needle pressing device in some embodiments of the present application, such as Figure 2 As described, first, preparations are made before treatment (patient preparation, disinfection, equipment preparation), after which acupoints are selected and needles are buried, and then the needles are connected to the electrical stimulation device, parameters are set, and then electrical stimulation treatment is performed (starting the device, observing the reaction), and post-treatment treatment is performed after the electrical stimulation treatment, and finally, after completing the above process, the next course of treatment is arranged.

[0023] In step 102, the change gradient of the muscle contraction intensity of the target user during the electrical stimulation is determined according to the median frequency characteristics of the electromyographic signal, and then the muscle fatigue analysis of the target user is performed according to the change gradient of the muscle contraction intensity to obtain the muscle fatigue characteristics of the target user.

[0024] In some embodiments, determining the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency characteristics of the electromyographic signal can be achieved by using the following steps: Preprocessing the electromyographic signal to obtain a median frequency characteristic of the electromyographic signal; The change gradient of the muscle contraction intensity of the target user during the electrical stimulation process is determined according to the median frequency feature.

[0025] In specific implementation, the electromyographic signal is preprocessed to obtain the median frequency characteristics of the electromyographic signal, which can be achieved in the following manner, namely: the electromyographic signal is preprocessed by a preprocessing technique in the prior art (such as bandpass filtering, wavelet transform), the segment length of the electromyographic signal is determined by the Nyquist theorem in the prior art combined with historical electromyographic signal data, the preprocessed electromyographic signal is evenly divided according to the segment length to obtain a plurality of electromyographic signal segments, the average amplitude of each electromyographic signal segment is calculated, and each calculated average amplitude is used as a characteristic value of the corresponding electromyographic signal segment, all the characteristic values ​​are arranged according to the acquisition time of the corresponding electromyographic signal segment, and the arranged sequence is used as the electromyographic signal. The median frequency feature of the embodiment of the present invention is a median frequency feature, wherein the eigenvalue in the median frequency feature represents the median feature of the amplitude of the electromyographic signal in each time period; determining the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency feature can be achieved in the following manner, namely: selecting a group of adjacent eigenvalues ​​in the median frequency feature as selected adjacent eigenvalues, subtracting the second eigenvalue from the first eigenvalue in the selected adjacent eigenvalues, taking the value obtained by subtraction as the difference value between the selected adjacent eigenvalues, continuing to determine the difference values ​​between the remaining adjacent eigenvalues, and taking all the difference values ​​as the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process; in other embodiments, other methods can also be used for determination, which are not limited here.

[0026] It should be noted that the gradient of change in muscle contraction intensity in the present application represents the gradient of change in muscle contraction intensity of the target user during electrical stimulation, which can be used to analyze the muscle condition of the target user during electrical stimulation, to facilitate adjustment of the electrical stimulation needle pressing device, and to achieve good physical therapy effects.

[0027] In some embodiments, muscle fatigue analysis of the target user is performed according to the change gradient of the muscle contraction intensity, and the muscle fatigue characteristics of the target user can be obtained by the following steps: Extracting multiple contraction change values ​​of the target user's muscles during electrical stimulation from the change gradient of the muscle contraction intensity; The muscle fatigue characteristics of the target user are determined through all contraction change values.

[0028] In a specific implementation, extracting multiple contraction change values ​​of the target user's muscles during the electrical stimulation process from the change gradient of the muscle contraction intensity can be achieved in the following manner, namely: extracting the electromyographic signals of historical users when no electrical stimulation is performed from the database of the electrical stimulation needle pressing device, and using the standard deviation of the extracted electromyographic signals as the electromyographic threshold, wherein the electromyographic threshold represents the judgment value of the target user's muscle contraction when no electrical stimulation is performed, comparing each difference value in the change gradient of the muscle contraction intensity with the electromyographic threshold, and using each difference value greater than the electromyographic threshold as the contraction change value of the target user's muscles during the electrical stimulation process, wherein the contraction change value represents The parameter value of the change degree of muscle contraction of the target user during electrical stimulation can be used to judge the muscle contraction state of the target user; determining the muscle fatigue characteristics of the target user through all contraction change values ​​can be achieved in the following manner, namely: calculating the difference between each contraction change value and the electromyographic threshold, dividing the standard deviation of all differences by the average of all differences, and using the value obtained by division as the muscle fatigue characteristic of the target user, that is: the larger the value corresponding to the muscle fatigue characteristic, the greater the muscle fatigue of the target user during the electrical stimulation process, and vice versa, the smaller the degree of muscle fatigue of the target user during the electrical stimulation process; in other embodiments, other methods can also be used for determination, which are not limited here.

[0029] It should be noted that the muscle fatigue characteristics in the present application represent the characteristics of the target user's muscle fatigue level during the electrical stimulation process, which can be used to judge the target user's muscle state, thereby adjusting the relevant parameters of the electrical stimulation needle press so that the electrical stimulation reaches the electrical stimulation range suitable for the target user.

[0030] In step 103, the change trend of the target user's skin resistance is determined by the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user. The state of the target user during the electrical stimulation is subjected to tolerance analysis through the muscle fatigue characteristics and the change trend of the skin resistance to obtain the target user's tolerance index to electrical stimulation.

[0031] In some embodiments, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary flow chart of determining the change trend of skin resistance in some embodiments of the present application. In this embodiment, the change trend of the skin resistance of the target user is determined by the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user, which can be achieved by the following steps: First, in step 1031, the ambient temperature and humidity of the target user are collected through a temperature and humidity sensor; Next, in step 1032, the fluctuation characteristics of the skin resistance in the skin resistance data are determined; Then, in step 1033, the moisture change entropy of the target user's skin is determined according to the fluctuation characteristics; Thus, in step 1034, the temperature and humidity influence coefficient is determined according to the ambient temperature and humidity; Finally, in step 1035, the change trend of the target user's skin resistance is determined by the moisture change entropy and the temperature and humidity influence coefficient.

[0032] It should be noted that the ambient temperature and humidity described in the present application represent the temperature and humidity of the surrounding environment of the target user during the electrical stimulation process, and can be used to judge the temperature and humidity of the target user's surface skin. In some embodiments, when the target user is undergoing electrical stimulation, the temperature and humidity of the target user's surrounding environment are collected by a temperature and humidity sensor integrated in the electrical stimulation needle pressing device, and the collected temperature and humidity are used as the ambient temperature and humidity of the target user; in other embodiments, other methods can also be used for collection, which will not be elaborated here.

[0033] In specific implementation, determining the fluctuation characteristics of skin resistance in the skin resistance data can be achieved in the following manner, namely: arranging all skin resistances in the skin resistance data in the order of corresponding acquisition time, using the arranged sequence as the skin resistance sequence, selecting a group of adjacent skin resistances in the skin resistance sequence as selected adjacent skin resistances, subtracting the first skin resistance from the second skin resistance in the selected adjacent skin resistances, using the subtracted value as the resistance difference value of the selected adjacent skin resistances, and continuing to determine the resistance difference values ​​of the remaining adjacent skin resistances in the skin resistance sequence, wherein the resistance difference value represents a parameter value of the degree of difference in skin resistance corresponding to adjacent acquisition times, and using the set of all resistance difference values ​​as the fluctuation characteristics of skin resistance in the skin resistance data, wherein the fluctuation characteristics represent the characteristics of the degree of fluctuation of the skin resistance of the target user during electrical stimulation; in other embodiments, other methods may also be used for determination, which are not limited here.

[0034] In specific implementation, determining the moisture change entropy of the target user's skin according to the fluctuation characteristics can be achieved in the following manner, namely: calculating the standard deviation and average value of all resistance difference values ​​in the fluctuation characteristics, dividing the average value by the standard deviation, and using the value obtained by division as the moisture change entropy of the target user's skin, wherein the moisture change entropy represents the parameter value of the degree of change in moisture on the target user's skin surface during electrical stimulation; determining the temperature and humidity influence coefficient according to the ambient temperature and humidity can be achieved in the following manner, namely: multiplying the humidity in the ambient temperature and humidity by the temperature, performing a natural exponential operation on the multiplied value, and using the inverse of the value obtained by the natural exponential operation as the temperature and humidity influence coefficient, wherein the temperature and humidity influence coefficient represents the parameter value of the degree of influence of ambient temperature and humidity on the moisture of the target user's skin; in other embodiments, other methods can also be used for determination, which are not limited here.

[0035] In specific implementation, determining the change trend of the target user's skin resistance through the moisture change entropy and the temperature and humidity influence coefficient can be achieved in the following manner, namely: constructing a change trend model, taking the change entropy and influence coefficient of the current window as the input features of the change trend model, taking the skin moisture change direction as the output target, and using a binary classification method (i.e., trend up / down analysis) to train the time series model in the prior art, using the trained model as the change trend model, using the obtained moisture change entropy and temperature and humidity influence coefficient to update the change entropy and influence coefficient of the current window, and using the output result of the change trend model as the change trend of the target user's skin resistance; in other embodiments, other methods can also be used for determination, which are not limited here.

[0036] It should be noted that the changing trend of skin resistance in the present application represents the changing trend of the target user's skin moisture during the electrical stimulation process, that is, whether the moisture level will decrease or increase in the next few minutes. This can be used to judge the moisture level changes of the target user during the electrical stimulation process, and then analyze the state of the target user during the electrical stimulation process.

[0037] In some embodiments, the tolerance analysis of the state of the target user during the electrical stimulation process is performed based on the muscle fatigue characteristics and the change trend of the skin resistance, and the target user's tolerance index to electrical stimulation is obtained by the following steps: Determining the skin condition value of the target user during the electrical stimulation process according to the change trend of the skin resistance; The tolerance index of the target user to electrical stimulation is determined based on the skin state value and the muscle fatigue characteristic.

[0038] In specific implementation, determining the skin condition value of the target user during the electrical stimulation process according to the changing trend of the skin resistance can be achieved in the following manner, namely: collecting the current skin moisture content through a moisture sensor; if the direction of the changing trend of the skin resistance is a downward direction, subtracting the numerical value in the changing trend of the skin resistance from 1, and multiplying the subtracted value by the moisture content, and using the multiplied value as the skin condition value of the target user during the electrical stimulation process; if the direction of the changing trend of the skin resistance is an upward direction, adding 1 to the numerical value in the changing trend of the skin resistance, and multiplying the added value by the moisture content, and using the multiplied value as the skin condition value of the target user during the electrical stimulation process, wherein the skin condition value represents the parameter value of the skin moisture state of the target user during the electrical stimulation process; based on the skin condition value and the The determination of the adaptation category of the target user's tolerance to electrical stimulation by muscle fatigue characteristics can be achieved in the following manner, namely: multiplying the skin state value by the muscle fatigue characteristics, performing a logarithmic operation with a base of 2 on the value obtained by the multiplication, and using the value obtained by the logarithmic operation as the target user's tolerance index to electrical stimulation, and extracting the user's tolerance range from the electrical stimulation needle pressing device, wherein the tolerance range represents the range of the user's tolerance level during the electrical stimulation process, namely: if the tolerance index is less than the lower limit of the tolerance range, it indicates that the target user's tolerance to electrical stimulation is low tolerance; if the tolerance index is within the tolerance range, it indicates that the target user's tolerance to electrical stimulation is medium tolerance; if the tolerance index is greater than the upper limit of the tolerance range, it indicates that the target user's tolerance to electrical stimulation is high tolerance; in other embodiments, other methods may also be used for determination, which are not limited here.

[0039] It should be noted that the tolerance index in the present application represents the parameter value of the target user's tolerance to electrical stimulation, which can be used to judge the target user's adaptability and facilitate the electrical stimulation needle pressing device to make corresponding parameter adjustments.

[0040] In step 104, the adaptability of the electrical stimulation of the target user is evaluated based on the insertion depth of each press needle in the electrical stimulation press needle device and the tolerance index of the target user to electrical stimulation, thereby obtaining the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process.

[0041] In some embodiments, based on the insertion depth of each press needle in the electrical stimulation press needle device and the target user's tolerance index to electrical stimulation, the adaptability of the electrical stimulation of the target user is evaluated, and then the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process is obtained. The following steps can be used to achieve this: Collecting the insertion depth of each needle in the electrical stimulation needle device; Obtaining electrical stimulation parameter information of each needle; Determining the depth adaptability of each push pin according to the insertion depth and the target user's tolerance index to electrical stimulation; The parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process is determined through all the depth adaptations and all the parameter information.

[0042] In specific implementation, the insertion depth of each press pin in the electric stimulation press pin device is collected by a depth sensor integrated in the electric stimulation press pin device; the electric stimulation parameter information of each press pin is obtained from the database of the electric stimulation press pin device, wherein the electric stimulation parameter information represents the parameter information of the press pin during the electric stimulation process, and the electric stimulation parameter information includes stimulation mode, stimulation intensity, stimulation frequency, etc.; the depth adaptation of each press pin is determined according to the insertion depth and the target user's tolerance index to electric stimulation, which can be achieved in the following manner, namely: performing a natural exponential operation on the tolerance index, multiplying the inverse of the value obtained by the natural exponential operation by the insertion depth of each press pin, and using each multiplied value as the depth adaptation of the corresponding press pin, wherein the depth adaptation represents the parameter value of the adaptation degree of the insertion depth of the press pin during the electric stimulation process; in other embodiments, other methods can also be used to determine, which are not limited here.

[0043] In specific implementation, the parameter deviation of each press pin of the electric stimulation press pin device during the electric stimulation process is determined by all the depth adaptation degrees and all the parameter information. This can be achieved in the following manner, namely: if the target user has low tolerance to electric stimulation, the insertion depth of the press pin is added with the depth adaptation degree, and the added value is used as the adaptation depth of the corresponding press pin; if the target user has medium tolerance to electric stimulation, the insertion depth of the press pin is not adjusted; if the target user has high tolerance to electric stimulation, the insertion depth of the press pin is subtracted from the depth adaptation degree, and the subtracted value is used as the adaptation depth of the corresponding press pin. The adaptation depth of the press pins should be measured, wherein the adaptation depth represents the appropriate depth for the target user during electrical stimulation; the historical parameter information of each press pin at the corresponding adaptation depth is obtained from the database of the electrical stimulation press pin device, and the deviation between the historical parameter information and the corresponding parameter information of each press pin is calculated by the deviation calculation in the prior art (such as Bayesian estimation, Bootstrap method), and the calculated deviations are used as the parameter deviations of the corresponding press pins of the corresponding electrical stimulation press pin device during the electrical stimulation process; in other embodiments, other methods can also be used for determination, which are not limited here.

[0044] It should be noted that the parameter deviation in the present application represents the deviation when the parameter information is adjusted according to the actual situation when the electric stimulation needle press device performs electric stimulation on the target user, and can be used to adjust the parameter information of the electric stimulation needle press device so that the electric stimulation of the target user by the electric stimulation needle press device conforms to the actual situation.

[0045] In step 105, the electrical stimulation parameter information of the electrical stimulation needle pressing device is adjusted based on all parameter deviations, and the electrical stimulation needle pressing device is controlled to continue to perform electrical stimulation on the target user.

[0046] In some embodiments, adjusting the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations and controlling the electrical stimulation needle pressing device to continue to perform electrical stimulation on the target user can be achieved by using the following steps: Adjusting the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations to obtain adjusted parameter information; Obtaining an electrical stimulation program of the electrical stimulation needle pressing device; Adjusting the electrical stimulation scheme according to the adjusted parameter information to obtain an adjusted electrical stimulation scheme; The adjusted electrical stimulation scheme is input into the electrical stimulation needle pressing device, and the electrical stimulation needle pressing device is continuously controlled to perform electrical stimulation on the target user.

[0047] In specific implementation, the electrical stimulation parameter information of the electrical stimulation needle pressing device is adjusted based on all parameter deviations, and the adjusted parameter information can be obtained in the following manner, namely: constructing a parameter information adjustment model, taking the parameter deviation as the input feature of the parameter information adjustment model, taking the adjusted parameter information as the output target, and using a binary classification method (i.e., trend up / down analysis) to train the timing model in the prior art, taking the trained model as a change trend model, updating the current parameter deviation with all parameter deviations, and taking the output result of the change trend model as the adjusted parameter information; obtaining the electrical stimulation scheme of the electrical stimulation needle pressing device from the database of the electrical stimulation needle pressing device, wherein the electrical stimulation scheme represents the scheme of the electrical stimulation needle pressing device when performing electrical stimulation on the user, and the electrical stimulation scheme includes parameter information (preset stimulation frequency, intensity and duration), needle insertion method and depth, electrical stimulation current, etc., replacing the parameter information in the electrical stimulation scheme with the adjusted parameter information, and taking the replaced electrical stimulation scheme as the adjusted electrical stimulation scheme; in other embodiments, other methods can also be used for determination, which are not limited here.

[0048] In addition, in another aspect of the present application, in some embodiments, the present application provides an electrical stimulation needle pressing system, the electrical stimulation needle pressing system includes a parameter adjustment unit, referring to Figure 4 , which is a schematic diagram of the structure of an electrical stimulation needle pressing system according to some embodiments of the present application, the electrical stimulation needle pressing system 400 includes: a collection module 401, a processing module 402 and an execution module 403, which are described as follows: The acquisition module 401 in the present application is mainly used to collect the target user's electromyographic signal and skin resistance data when the electrical stimulation needle pressing device applies electrical stimulation to the target user after the target user with sports injury is subjected to rehabilitation training using the electrical stimulation needle pressing device; Processing module 402, in the present application, is used to determine the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency characteristics of the electromyographic signal, and then perform muscle fatigue analysis on the target user according to the change gradient of the muscle contraction intensity to obtain the muscle fatigue characteristics of the target user; It should be noted that the processing module 402 in the present application is also used to determine the change trend of the target user's skin resistance based on the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user, and to perform tolerance analysis on the state of the target user during the electrical stimulation process through the muscle fatigue characteristics and the change trend of the skin resistance to obtain the target user's tolerance index to electrical stimulation; In addition, it should be noted that the processing module 402 in the present application is also used to evaluate the adaptability of the target user's electrical stimulation based on the insertion depth of each press needle in the electrical stimulation press needle device and the target user's tolerance index to electrical stimulation, thereby obtaining the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process; Execution module 403, in the present application, the execution module 403 is mainly used to adjust the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations, and control the electrical stimulation needle pressing device to continue to perform electrical stimulation on the target user.

[0049] In addition, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned method for adjusting the parameters of the electrical stimulation needle.

[0050] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing the parameter adjustment method of the electrical stimulation needle pressing according to some embodiments of the present application. The parameter adjustment method of the electrical stimulation needle pressing in the above embodiment can be achieved by Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0051] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0052] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0053] The memory 503 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0054] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0055] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0056] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0057] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0058] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned parameter adjustment method of electrical stimulation needle pressing.

[0059] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0060] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for adjusting parameters of an electric stimulation needle pressing system, used for the electric stimulation needle pressing system to perform electric stimulation on a user, characterized in that: The method comprises the following steps: Using the electrical stimulation needle pressing device to perform rehabilitation training on a target user with sports injuries, and collecting the target user's electromyographic signal and skin resistance data when the electrical stimulation needle pressing device applies electrical stimulation to the target user; Determining the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency characteristics of the electromyographic signal, and then performing muscle fatigue analysis on the target user according to the change gradient of the muscle contraction intensity to obtain the muscle fatigue characteristics of the target user; Determine the change trend of the target user's skin resistance based on the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user, perform tolerance analysis on the state of the target user during the electrical stimulation process based on the muscle fatigue characteristics and the change trend of the skin resistance, and obtain the target user's tolerance index to electrical stimulation; Based on the insertion depth of each press needle in the electrical stimulation press needle device and the tolerance index of the target user to electrical stimulation, the adaptability of the electrical stimulation of the target user is evaluated, and then the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process is obtained; The electrical stimulation parameter information of the electrical stimulation needle pressing device is adjusted based on all parameter deviations, and the electrical stimulation needle pressing device is controlled to continue to perform electrical stimulation on the target user.

2. The method according to claim 1, characterized in that Determining the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency characteristics of the electromyographic signal specifically includes: Preprocessing the electromyographic signal to obtain a median frequency characteristic of the electromyographic signal; The change gradient of the muscle contraction intensity of the target user during the electrical stimulation process is determined according to the median frequency feature.

3. The method according to claim 1, characterized in that The muscle fatigue characteristics of the target user are obtained by performing muscle fatigue analysis on the target user according to the change gradient of the muscle contraction intensity, and specifically include: Extracting multiple contraction change values ​​of the target user's muscles during electrical stimulation from the change gradient of the muscle contraction intensity; The muscle fatigue characteristics of the target user are determined through all contraction change values.

4. The method according to claim 1, characterized in that Determining the change trend of the target user's skin resistance based on the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user specifically includes: The ambient temperature and humidity of the target user are collected through the temperature and humidity sensor; determining a fluctuation characteristic of skin resistance in the skin resistance data; Determining the moisture change entropy of the target user's skin according to the fluctuation characteristics; Determine the temperature and humidity influence coefficient according to the ambient temperature and humidity; The change trend of the target user's skin resistance is determined by the moisture change entropy and the temperature and humidity influence coefficient.

5. The method according to claim 1, characterized in that The tolerance analysis of the state of the target user during the electrical stimulation is performed through the muscle fatigue characteristics and the change trend of the skin resistance, and the tolerance index of the target user to the electrical stimulation is obtained, which specifically includes: Determining the skin condition value of the target user during the electrical stimulation process according to the change trend of the skin resistance; The tolerance index of the target user to electrical stimulation is determined based on the skin state value and the muscle fatigue characteristics.

6. The method according to claim 1, characterized in that Based on the insertion depth of each press needle in the electrical stimulation press needle device and the tolerance index of the target user to electrical stimulation, the adaptability of the electrical stimulation of the target user is evaluated, and the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process is obtained, which specifically includes: Collecting the insertion depth of each needle in the electrical stimulation needle device; Obtaining electrical stimulation parameter information of each needle; Determining the depth adaptability of each push pin according to the insertion depth and the target user's tolerance index to electrical stimulation; The parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process is determined through all the depth adaptations and all the parameter information.

7. The method according to claim 1, characterized in that Adjusting the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations, and controlling the electrical stimulation needle pressing device to continue to perform electrical stimulation on the target user specifically includes: Adjusting the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations to obtain adjusted parameter information; Obtaining an electrical stimulation program of the electrical stimulation needle pressing device; Adjusting the electrical stimulation scheme according to the adjusted parameter information to obtain an adjusted electrical stimulation scheme; The adjusted electrical stimulation scheme is input into the electrical stimulation needle pressing device, and the electrical stimulation needle pressing device is continuously controlled to perform electrical stimulation on the target user.

8. An electrical stimulation needle pressing system, comprising a parameter adjustment unit, characterized in that: The parameter adjustment unit comprises: A collection module is used to collect the target user's electromyographic signal and skin resistance data when the electrical stimulation needle pressing device applies electrical stimulation to the target user after the target user has been subjected to rehabilitation training using the electrical stimulation needle pressing device; a processing module, configured to determine the change gradient of the muscle contraction intensity of the target user during the electrical stimulation process according to the median frequency characteristics of the electromyographic signal, and then perform muscle fatigue analysis on the target user according to the change gradient of the muscle contraction intensity to obtain the muscle fatigue characteristics of the target user; The processing module is further used to determine the change trend of the target user's skin resistance based on the fluctuation characteristics of the skin resistance in the skin resistance data and the ambient temperature and humidity of the target user, and to perform tolerance analysis on the state of the target user during the electrical stimulation process based on the muscle fatigue characteristics and the change trend of the skin resistance to obtain the target user's tolerance index to electrical stimulation; The processing module is further used to evaluate the adaptability of the electrical stimulation of the target user based on the insertion depth of each press needle in the electrical stimulation press needle device and the tolerance index of the target user to electrical stimulation, and then obtain the parameter deviation of each press needle of the electrical stimulation press needle device during the electrical stimulation process; An execution module is used to adjust the electrical stimulation parameter information of the electrical stimulation needle pressing device based on all parameter deviations, and control the electrical stimulation needle pressing device to continue to perform electrical stimulation on the target user.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the parameter adjustment method of the electrical stimulation needle as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the parameter adjustment method of the electric stimulation needle press as described in any one of claims 1 to 7 is implemented.

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