CN108310632B

CN108310632B - Muscle electrical stimulation method and device and wearable device

Info

Publication number: CN108310632B
Application number: CN201810090791.XA
Authority: CN
Inventors: 邹巍; 包磊
Original assignee: Shenzhen Xingyuan Technology Development Co Ltd
Current assignee: Shenzhen Xingyuan Technology Development Co., Ltd.
Priority date: 2018-01-30
Filing date: 2018-01-30
Publication date: 2020-01-21
Anticipated expiration: 2038-01-30
Also published as: CN108310632A

Abstract

The invention is applicable to the technical field of wearable equipment, and provides a muscle electrical stimulation method, a muscle electrical stimulation device and wearable equipment, wherein the muscle electrical stimulation method comprises the following steps: controlling the wearable equipment to read personal information of a user, and identifying limb parts for performing muscle strength training and corresponding training grades; respectively determining an electrical stimulation signal output module corresponding to each limb part, and selecting corresponding electrical stimulation parameters to determine a first electrical stimulation mode; and calculating a stimulation adjustment proportion value corresponding to the personal information, carrying out scaling adjustment on the electrical stimulation intensity parameter, and outputting electrical stimulation signals to the limb part attached to each electrical stimulation signal output module based on the obtained second electrical stimulation mode. The pertinence of the muscle strength training of each limb part is ensured, so that each user can obtain an electric stimulation muscle strength training scheme which is most suitable for the muscle condition of the user.

Description

Muscle electrical stimulation method and device and wearable device

Technical Field

The invention belongs to the technical field of wearable equipment, and particularly relates to a muscle electrical stimulation method and device and wearable equipment.

Background

Electrical Stimulation techniques include Electrical Muscle Stimulation (EMS) and neuromuscular electrical Stimulation (NMES), which is a technique for applying direct electrical Stimulation to a muscle or a motor nerve terminating in a muscle to cause the muscle to contract. The muscle training device is often applied to the fields of physical training, fitness, muscle rehabilitation and the like, and helps people to perform muscle strength training on waste muscles generated by long-term muscle inactivity, operations, injuries and the like and assist the muscles to move, so that the purposes of improving the muscle quality, keeping the joint mobility and improving the muscle autonomous control capability are achieved.

In the prior art, when an electrical stimulation technology is used for assisting a user in muscle strength training, muscle electrical stimulation is performed according to a set of fixed electrical stimulation modes set by technicians, and the output frequency, signal amplitude parameters and the like of electrical stimulation signals are fixed and unchangeable. However, in actual conditions, the muscle conditions of different users are different, and it is difficult for a set of fixed and unchangeable electrical stimulation modes to meet different requirements of different users.

Therefore, the muscle electrical stimulation mode in the prior art is single, the accuracy of the muscle electrical stimulation of different users is low, and the diversified requirements of different users on muscle strength training cannot be met.

Disclosure of Invention

In view of this, embodiments of the present invention provide a muscle electrical stimulation method, a muscle electrical stimulation device, and a wearable device, so as to solve the problems in the prior art that a muscle electrical stimulation mode is single, the accuracy of muscle electrical stimulation for different users is low, and diversified requirements of different users on muscle strength training cannot be met.

A first aspect of embodiments of the present invention provides a muscle electrical stimulation apparatus, including:

the information reading module is used for controlling the wearable equipment to read personal information of a user and identifying limb parts for muscle strength training and corresponding training grades;

the mode determining module is used for respectively determining an electric stimulation signal output module corresponding to each limb part in the wearable equipment, and selecting an electric stimulation parameter corresponding to each electric stimulation signal output module according to the training grade so as to determine a first electric stimulation mode;

the mode adjusting module is used for calculating a stimulation adjusting proportion value corresponding to the personal information, and scaling and adjusting the electrical stimulation intensity parameters in the electrical stimulation parameters corresponding to each electrical stimulation signal output module in the first electrical stimulation mode based on the stimulation adjusting proportion value to obtain a second electrical stimulation mode;

and the stimulation output module is used for outputting the electrical stimulation signals to the limb parts attached to the electrical stimulation signal output modules based on the second electrical stimulation mode.

A second aspect of an embodiment of the present invention provides a muscle electrical stimulation method, including:

controlling the wearable equipment to read personal information of a user, and identifying limb parts for performing muscle strength training and corresponding training grades;

respectively determining an electrical stimulation signal output module corresponding to each limb part in the wearable equipment, and selecting an electrical stimulation parameter corresponding to each electrical stimulation signal output module according to the training grade to determine a first electrical stimulation mode;

calculating a stimulation adjustment proportion value corresponding to the personal information, and scaling and adjusting an electrical stimulation intensity parameter in the electrical stimulation parameters corresponding to each electrical stimulation signal output module in the first electrical stimulation mode based on the stimulation adjustment proportion value to obtain a second electrical stimulation mode;

and outputting the electrical stimulation signals to the limb parts attached to the electrical stimulation signal output modules based on the second electrical stimulation mode.

A third aspect of an embodiment of the present invention provides a wearable device, including:

comprising a memory, a processor and a computer program stored in said memory and executable on said processor, characterized in that said processor implements the steps of the muscle electrical stimulation method as described above when executing said computer program.

A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium, including: stored computer program, characterized in that it realizes the steps of the muscle electrical stimulation method as described above when executed by a processor.

Compared with the prior art, the embodiment of the invention has the following beneficial effects: 1. by setting a plurality of sets of electrical stimulation parameters with different strengths for each limb part by taking the limb part as a unit and selecting the proper electrical stimulation parameters according to the training grade of each limb part, each limb part of a user needing muscle training can obtain the corresponding proper electrical stimulation parameters, thereby ensuring the pertinence of the muscle strength training of each limb part and ensuring that each user can obtain the electrical stimulation muscle strength training scheme which is the most suitable for the muscle condition of the user. 2. The obtained first electrical stimulation mode is further corrected and adjusted by utilizing the personal information of the user, so that the finally obtained second electrical stimulation mode is more targeted to the user, the actual safety requirements of the user are better met, and the accuracy of muscle strength training of different users is further improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic flow chart of an implementation of a muscle electrical stimulation method according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of an implementation of a muscle electrical stimulation method provided by a second embodiment of the present invention;

fig. 3 is a schematic flow chart of an implementation of a muscle electrical stimulation method provided by a third embodiment of the present invention;

fig. 4 is a schematic flow chart of an implementation of a muscle electrical stimulation method provided by the fifth embodiment of the invention;

fig. 5 is a schematic view of a muscle electrical stimulation apparatus provided in a sixth embodiment of the present invention;

fig. 6 is a schematic diagram of a wearable device for muscle electrical stimulation according to a seventh embodiment of the present invention.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

First, the wearable device mentioned in the embodiment of the present invention is explained. In the embodiment of the invention, the wearable device can be a wearable intelligent training garment, and also can be a wearable and attachable set of one or more acquisition modules and an electrical stimulation signal output module.

When the wearable device is a wearable intelligent training garment, the wearable device can be a garment or trousers made of flexible fabric, and a plurality of acquisition modules and an electrical stimulation signal output module are embedded on one side, close to the skin of a human body, of the flexible fabric. Each acquisition module is fixed in the different position points of intelligent training clothing to after making this intelligent training clothing of user's dress, each acquisition module can be attached in each muscle of user's health. Each electrical stimulation signal output module is fixed at different position points of the intelligent training garment, so that after a user wears the intelligent training garment, each electrical stimulation signal output module can be attached to each muscle to be stimulated of the body of the user. In wearable equipment, still inlay and have at least one control module, every collection module is electrical stimulation signal output module and is connected with this control module communication respectively. In the prior art, only one control module is generally adopted to realize the control of the acquisition module and the electrical stimulation signal output module.

In a specific implementation, for example, an electric wire and a circuit board may be further disposed in the wearable device, wherein the circuit board is used for fixing various communication buses, the acquisition module and the electrical stimulation signal output module. In addition, waterproof glue wraps the circuit board and all welding positions of the circuit board, and as a specific implementation mode, the wearable equipment can be washed by fixing waterproof wiring on clothes.

Particularly, when the acquisition modules are in communication connection with the control module, each acquisition module may only include an acquisition electrode having a motion sensing sensor function, or may include an integrated circuit having an acquisition function. When the electrical stimulation signal output modules are in communication connection with the control module, each electrical stimulation signal output module may only include an output electrode with an electrical stimulation output function, or may include an integrated circuit with an output function.

When the wearable device is a wearable and attachable set of one or more acquisition modules and electrical stimulation signal output modules, the user can flexibly fix each acquisition module and electrical stimulation signal output module to a body position point designated by the user, so that each acquisition module and electrical stimulation signal output module can be respectively attached to designated muscles of the body of the user. At this time, each acquisition module is an integrated circuit with an acquisition function and a wireless transmission function, and the integrated circuit includes the acquisition electrode with the motion sensing sensor function. Each electrical stimulation signal output module is an integrated circuit with an output function and a wireless transmission function, and the integrated circuit comprises the output electrode with the electrical stimulation output function. The myoelectric data collected by the collection module is transmitted to a remote control module through a wireless network, the electrical stimulation signal output module outputs stimulation signals according to the received control signals sent by the control module through the wireless network, and the control module is located in a remote terminal device or a remote control box which is matched with the collection module and the electrical stimulation signal output module for use.

It should be noted that, in the embodiment of the present invention, the wearable device collects the user data and outputs the electrical stimulation signal in a non-invasive manner, so as to avoid damaging the body of the user, and therefore, in the embodiment of the present invention, the electrodes used by the collection module and the electrical stimulation signal output module are non-invasive electrodes, such as patch electrodes. Because the wearable device is inevitably stretched by external force in the using process of a user, in order to improve the toughness of the wearable device and enable the wearable device to adapt to certain deformation and expansion, the electrode used in the embodiment of the invention is preferably a patch electrode made of flexible materials, such as a fabric electrode, a rubber electrode, a gel electrode and the like.

In order to explain the technical means of the present invention, the following description will be given by way of specific examples.

Fig. 1 shows a flow chart of an implementation of a muscle electrical stimulation method according to an embodiment of the present invention, because requirements of each muscle strength training are different, a set of electrical stimulation modes (i.e., muscle electrical stimulation schemes) that are inconvenient to fix in the prior art is difficult to meet actual requirements of a user, and in order to meet requirements of the muscle strength training of the user, accuracy of the muscle strength training of the user is improved, and the user is helped to perform fitness exercise, in the embodiment of the present invention, a muscle electrical stimulation mode is formulated according to different actual requirements of the user, which is detailed as follows:

s101, controlling the wearable device to read personal information of a user, and identifying limb parts for performing muscle strength training and corresponding training levels.

In order to improve the accuracy of the formulation of the muscle electrical stimulation mode of the user, the embodiment of the invention firstly collects the personal information of the user and determines the target part and the training grade of the muscle training so as to formulate and obtain the required data for the subsequent muscle electrical stimulation scheme. The personal information mainly includes information such as age and sex of the user. Because the strength that the user's body can bear is different when the user of different physique is carrying out muscle electro-stimulation, need to consider user's actual health and the condition of muscle electro-stimulation comprehensively when carrying out muscle electro-stimulation to the user of different physiques to guarantee under the prerequisite of user's safe use, provide high-efficient accurate muscle electro-stimulation for the user.

Because the training effect that the user wants to reach may be different in each muscle strength training, sometimes may have already carried out the body-building motion before muscle electro-stimulation, therefore this time only wants to carry out a muscle electro-stimulation of low intensity, promotes the effect of body-building motion to muscle strength training, but sometimes wants to carry out muscle electro-stimulation with high intensity to promote the effect to muscle strength training. In order to meet different requirements of a user, a plurality of different training grades are set in the embodiment of the invention, each training grade corresponds to an electrical stimulation parameter with different intensity, and the user can obtain the corresponding electrical stimulation parameter to carry out muscle electrical stimulation on the limb part of the user by selecting different training grades, so that the user can obtain an electrical stimulation mode meeting the requirement of the user and the accuracy of the electrical stimulation mode is improved. In particular, personal information needs to be entered into the wearable device by the user or other person prior to electrical stimulation of the muscle. It should be noted that the different intensities of the electrical stimulation parameters in this specification refer to the different muscle strength training intensities brought to the body of the user by the electrical stimulation of the muscles due to the different parameters such as the electrical stimulation intensity, the electrical stimulation frequency, the electrical stimulation duration and the like in the electrical stimulation parameters, rather than the different electrical stimulation intensities in the electrical stimulation parameters. For the limb part to be stimulated by the electrical muscle stimulation and the corresponding training level of the user, the limb part may be manually selected by the user, may be automatically identified and determined according to the motion data of the user, or may be determined in a form compatible with both, and may be specifically selected by the user according to the actual situation, which is not limited herein.

S102, respectively determining an electrical stimulation signal output module corresponding to each limb part in the wearable device, and selecting an electrical stimulation parameter corresponding to each electrical stimulation signal output module according to the training grade to determine a first electrical stimulation mode.

The electrical stimulation parameters specifically comprise parameters such as electrical stimulation intensity, electrical stimulation frequency, electrical stimulation duration and electrical stimulation waveform types, and different electrical stimulation parameters are configured and the electrical stimulation signal output module is controlled to output electrical stimulation signals to the limb part, so that different muscle strength training effects on the limb part can be realized. In the embodiment of the invention, a plurality of sets of electric stimulation parameters with different intensities and corresponding to the training grades one by one are preset for each limb part, so that the corresponding electric stimulation parameters can be determined according to the training grades of the limb part. In the embodiment of the present invention, in order to realize the regulation and control of different electrical stimulation parameter intensities, it is preferable that parameters such as electrical stimulation duration, electrical stimulation intensity, and electrical stimulation frequency among the electrical stimulation parameters are set differently, where the electrical stimulation duration, the enhanced electrical stimulation intensity, or the enhanced electrical stimulation frequency are all positively correlated with the electrical stimulation parameter intensity, and can be specifically set by a technician according to actual needs.

According to the embodiment of the invention, each limb part of a user in the wearable device is provided with the corresponding electrical stimulation signal output module attached to the muscle of the limb part, after the limb part needing electrical stimulation of the muscle is determined in S101, the electrical stimulation signal output module corresponding to the limb part needing electrical stimulation of the muscle is activated, and the corresponding electrical stimulation parameter is selected from a plurality of sets of electrical stimulation parameters with different strengths preset in each limb part according to the training grade corresponding to the limb part, so that the automatic determination of the electrical stimulation mode corresponding to the user can be realized.

S103, calculating a stimulation adjustment proportion value corresponding to the personal information, and scaling and adjusting an electrical stimulation intensity parameter in the electrical stimulation parameters corresponding to each electrical stimulation signal output module in the first electrical stimulation mode based on the stimulation adjustment proportion value to obtain a second electrical stimulation mode.

In practical situations, different training requirements may exist for each time of muscle strength training of a user, and although the electrical stimulation mode corresponding to the muscle strength training determined by the limb part set by the user or automatically recognized and the corresponding training level can theoretically meet the requirements of the user on the target of the muscle strength training, the bearing capacity of the electrical stimulation of the muscle is different due to different physical qualities of the user, and the pure pursuit of the training target may bring loads beyond the body bearing capacity of the user, so that danger is brought to the user. Since the capability of the user to bear the electrical stimulation of the muscles is mainly reflected in the capability of the user to bear the intensity of the electrical stimulation, in order to ensure the safety of the user in the process of electrical stimulation of the muscles, the embodiment of the invention can adjust the intensity of the electrical stimulation in the electrical stimulation mode according to the personal information of the user, such as adjusting the intensity of the electrical stimulation according to the age, the gender and the like of the user.

In order to quantify the adjustment of the electrical stimulation intensity, the embodiment of the invention is provided with a stimulation adjustment proportion value corresponding to the personal information of the user, so as to carry out proportion adjustment on the electrical stimulation intensity. In the embodiment of the invention, in order to obtain the stimulation adjustment ratio value, a technical staff sets a conversion relation table between the personal information of the user and the stimulation adjustment ratio value in advance, the conversion relation table records the conversion relation between the personal information of the user and the stimulation adjustment ratio value, and when the stimulation adjustment ratio value is calculated, the personal information of the user is only required to be looked up in the conversion relation table, so that the stimulation adjustment parameter corresponding to the personal information of the user can be determined.

It should be noted that, since there are many information related to physical qualities contained in the user personal information, such as sex, age, and weight, and different technicians have different views of the influence degree of these information on the physical qualities, the specific information contained in the personal information used for calculating the stimulation adjustment ratio value is not limited in the embodiment of the present invention, and the technician may set and set a corresponding conversion relation table according to actual situations, for example, the stimulation adjustment ratio value may be calculated by using the sex and age in the personal information, or the stimulation adjustment ratio value may be calculated by using the age and weight.

Taking the example of calculating the stimulation adjustment ratio value by sex and age in the personal information, the set conversion relationship table is assumed to be the following table 1:

TABLE 1

After the electrical stimulation mode corresponding to the user is determined in S102, the sex and age information in the personal information of the user is read, and the stimulation adjustment ratio corresponding to the user is determined according to table 1, so as to scale the electromagnetic intensity parameter in the electrical stimulation mode. For example, when the user is a 50-year-old male, the adjustment ratio for the stimulation is 85% according to the table lookup, and the electrical stimulation intensity in the electrical stimulation pattern obtained in S102 is uniformly scaled to 85% of the original size to obtain the final desired electrical stimulation pattern.

And S104, outputting the electrical stimulation signals to the limb parts attached to the electrical stimulation signal output modules based on the second electrical stimulation mode.

After the final electrical stimulation mode is determined, controlling the activated electrical stimulation signal output module to perform electrical stimulation output on the attached limb part according to the electrical stimulation parameters corresponding to each activated electrical stimulation signal output module in the electrical stimulation mode, wherein the specific steps are as follows:

firstly, generating an electrical stimulation signal according to parameters such as electrical stimulation frequency, electrical stimulation intensity, electrical stimulation waveform type and the like in the electrical stimulation parameters, and outputting the generated electrical stimulation signal to the attached limb part through an electrical stimulation signal output module. And regulating and controlling the electrical stimulation signals in the muscle electrical stimulation process according to parameters such as stimulation duration, stimulation interval, stimulation alternating frequency and the like in the electrical stimulation parameters, for example, determining the output time of the electrical stimulation signals according to the stimulation duration, and stopping outputting the electrical stimulation signals to the user when the stimulation duration is reached.

According to the embodiment of the invention, the electrical stimulation parameters with different intensities are set for each limb part by taking the limb part as a unit, and the proper electrical stimulation parameters are selected according to the training grade of each limb part, so that each limb part of a user needing muscle training can obtain the corresponding proper electrical stimulation parameters, the pertinence of muscle strength training for each limb part is ensured, and each user can obtain the electrical stimulation muscle strength training scheme which is most suitable for the muscle condition of the user. Meanwhile, the obtained first electrical stimulation mode is further corrected and adjusted by utilizing the personal information of the user, so that the finally obtained second electrical stimulation mode has pertinence for the user and better meets the actual safety requirement of the user, and a safer and more accurate electrical stimulation mode is provided for the user.

As a second preferred embodiment of the present invention, as shown in fig. 2, when identifying a limb part for performing muscle strength training and a corresponding training level, the method includes:

and S1011, controlling an acquisition module in the wearable device to acquire the motion data of the user.

Considering that some non-professional fitness users do not know the muscle condition of themselves well and do not know the proper strength of the muscle strength training of themselves, the users only want to improve the muscle quality of themselves through the muscle strength training. In order to facilitate the use of the users, the embodiment of the invention is provided with a test recognition function for testing the limb parts of the users which need to be subjected to muscle strength training and the corresponding training levels, the users only need to make a specified test action according to prompts after wearing the wearable equipment, then the wearable equipment performs motion recognition on the users, and the limb parts of the users which need to be subjected to muscle strength training and the corresponding training levels are judged, which is detailed as follows:

after the user wears the wearable device, the user is prompted to do exercise by one or more combined prompting modes of characters, images, videos and voices, so that the user is guided to do test exercise, and exercise data in the exercise process of the user are collected. The motion data includes, but is not limited to, angular information such as the joint location of a user's limb.

And S1012, determining the limb part of the user for muscle strength training and the corresponding training grade by analyzing the motion data.

Because the motion data of the corresponding limb part of each preset test action has a reasonable numerical range, once the actual motion data of the limb part of the user exceeds the corresponding reasonable numerical range, the muscle quality of the limb part of the user is relatively poor, and corresponding muscle strength training is required, meanwhile, the larger the deviation from the reasonable numerical range is, the poorer the muscle quality is, and in order to achieve a better muscle strength training effect, the higher the corresponding training grade is, the higher the muscle electrical stimulation is required. The reasonable numerical range of the limb part motion data corresponding to each test action and the training grades corresponding to different deviation ranges are set by technicians according to actual conditions.

For example, in the test action, the user is required to bend the arm inwards as much as possible, a reasonable numerical range of the elbow joint bending degree of the arm inwards is set to be 90-140 degrees, the deviation range is set to be three levels corresponding to three different training levels respectively, the deviation value is 0-30 degrees corresponding to a first-level training level, the deviation value is 30-60 degrees corresponding to a second-level training level, and the deviation value is 60-90 degrees corresponding to a third-level training level, wherein the different training levels correspond to different-strength electrical stimulation parameters, and the higher the training level is, the stronger the corresponding electrical stimulation parameters are. If the analysis of the user motion data shows that the maximum bending angle of the user is only 20 degrees and is far smaller than a reasonable numerical range, it is indicated that the arm muscle quality of the user is poor, and the muscle strength training of three training levels corresponding to the deviation value of 90-20 degrees and 70 degrees is required.

In the embodiment of the invention, after each test action is completed, whether the body part corresponding to the test action needs to be subjected to muscle strength training or not and the corresponding training grade can be obtained, so that after all test actions of a user are analyzed, all the body parts needing muscle strength training of the user and the training grades corresponding to the body parts can be obtained, the automatic determination of the body parts needing muscle electric stimulation and the corresponding training grades can be completed, the use of the user is facilitated, and the accuracy of electric stimulation mode formulation of a non-professional fitness user is improved.

As a third preferred embodiment of the present invention, as shown in fig. 3, while outputting the electrical stimulation signal to the limb part of the user in S104, the method further includes:

and S105, controlling an acquisition module in the wearable device to acquire myoelectric data and motion data of each limb part, and judging whether each limb part moves or not according to the motion data.

In the embodiment of the present invention, the motion data is mainly used for determining whether the user's limb moves and how the user moves during the limb movement, so that all the somatosensory data that can determine whether the user's limb moves and can detect the movement level during the limb movement can be used as the motion data in the embodiment of the present invention, for example, one or more of the somatosensory data such as angle data during the limb joint movement, velocity data during the limb movement, and acceleration data during the limb movement, which is not limited herein.

Considering that the activity levels of the limbs of different users are different, if some people have higher activity levels of the limbs and freely move, various limb actions can be easily performed, but some people may have the condition of inconvenient limb movement, the activity level is lower, basic hand stretching and knee bending actions are difficult to realize, and even more, the situation that the activity levels of different limbs of the same user are greatly different and the two different activity levels occur on the left and right limbs at the same time can be caused. For limbs with different activity levels, if a set of fixed electrical stimulation simulation only related to the training level is directly adopted for muscle electrical stimulation, the fitness of the fixed electrical stimulation simulation to the personalized requirements of the user still needs to be improved, and particularly when the training level of the first embodiment of the invention is manually set by the user or other personnel, the manually set training level is difficult to ensure to be matched with the training level of the actual limb, so that the finally obtained electrical stimulation mode possibly has lower fitness to the actual requirements of the user.

For the limb with the heavy motion inconvenience degree, the muscle is seriously degenerated due to the fact that the muscle does not move for a long time, so that a user cannot control the limb muscle to complete normal limb motions, the requirement that the muscle is only in strength after the limb motion is completed has the requirement on coordination control among the muscles, therefore, in order to help the user to improve the muscle quality and improve the muscle autonomous control capacity, the motion trend recognition is carried out on the limb part of the user which does not move, and the output module of the electrical stimulation signal and the corresponding electrical stimulation parameter are adjusted, so that the user is helped to gradually improve the muscle autonomous control capacity and the muscle quality.

And S106, for the limb part which does not move, identifying the movement trend of the limb part which does not move by using the electromyographic data, and adjusting the corresponding electrical stimulation parameter of the electrical stimulation signal output module of the limb part which does not move according to the movement trend.

The motion trend refers to the action that the user wants to control the limb of the user to perform, for example, if the user wants to control the leg to bend the knee, the motion trend of the user is to bend the knee. When the limb is detected not to move, the situation that the limb possibly has movement inconvenience is shown. In practical situations, when a user controls a certain limb to move, corresponding myoelectric signals are generated at the corresponding muscle of the limb, and corresponding myoelectric signals are also generated even for the limb which is inconvenient to move, so that the movement trend of the limb can be identified by analyzing myoelectric data acquired by the myoelectric signals. As an embodiment of the present invention, standard electromyographic data corresponding to a plurality of sets of different body motions may be stored in the wearable device in advance, for example, standard electromyographic data corresponding to a plurality of sets of motions such as raising a leg and bending a knee may be set for a leg, and then the acquired user leg electromyographic data is compared with the standard electromyographic data to determine which set of motion standard the user electromyographic data meets, so that the user body motion is identified to obtain the motion trend of the user, and if the user wants to raise a leg or bend a knee at all.

In order to help a user improve the autonomous control capability and muscle quality of muscles, the embodiment of the invention stores a plurality of sets of stimulation requirements corresponding to different limb actions in advance, and mainly comprises muscles required to be stimulated corresponding to the limb actions, electrical stimulation frequency, a stimulation sequence among the muscles and the like. After the movement trend of the user limb is identified, the stimulation requirement corresponding to the limb action is found out, and the electrical stimulation signal output module and the electrical stimulation parameter corresponding to the limb are adjusted according to the found stimulation requirement. The muscle to be stimulated by the limb movement and the stimulation sequence among the muscles can be set by a technician after sampling and analyzing the muscle to be actually activated and the muscle activation sequence when the real human body performs the movement, for example, the activity condition of the muscle of the leg of the real human body when the knee is bent is analyzed, the muscle to be used for bending the knee and the muscle activation sequence are determined, and corresponding setting is performed.

The leg muscles are more, the corresponding electrical stimulation signal output modules are more, and when the knee is bent, only the biceps femoris muscle, the semitendinosus muscle, the semimembranosus muscle, the sartorius muscle, the gracilis muscle and the gastrocnemius muscle need to be used, at this time, the electrical stimulation signal output modules correspondingly attached to the muscles of the leg are only controlled to output electrical stimulation signals, and the electrical stimulation signal output time of the electrical stimulation signal output modules is adjusted according to the stimulation sequence among the muscles in the stimulation requirement, so that the electrical stimulation signal output modules output the electrical stimulation signals according to the stimulation requirement sequence, and the user is helped to gradually improve the autonomous control capability and muscle quality of the muscles.

As an embodiment of the invention, even though the limb movement is inconvenient, the limb of the user can move in the actual operation process, for example, forced movement caused by the influence of external force can occur, such as the limb of the user is moved by other people in the muscle electrical stimulation process. It is therefore desirable to eliminate interference from these factors when detecting whether a limb is moving. Considering that the actual disturbance of the external force is less in the process of electrically stimulating the muscles of the user, the generated motion amplitudes are smaller, therefore, when the motion data are processed, a corresponding minimum motion threshold value can be set, and when the value of the motion data is smaller than the minimum motion threshold value, it is stated that the generated motion may be the motion influenced by the external force, and at this time, it can be considered that the limb does not generate the motion.

And S107, judging the activity level grade of the limb part generating the movement according to the movement data, and adjusting the electrical stimulation parameters of the electrical stimulation signal output module corresponding to the limb part generating the movement according to the activity level grade.

When the limb is detected to move, the situation that the limb is not inconvenient to move is indicated, and the limb can perform certain autonomous movement. Because the effect of muscle strength training of the limbs capable of performing autonomous movement by using the mode of assisting the movement of the limbs with the muscle electrical stimulation is far better than the effect of pure muscle electrical stimulation, the embodiment of the invention performs the muscle strength training of the user by using the mode of the user's autonomous movement with the muscle electrical stimulation so as to improve the training effect.

In practical situations, different users have different degrees of sensitivity to electrical muscle stimulation, some users can produce larger contraction responses even if the muscles are slightly electrically stimulated, and some users can only produce the larger muscle stimulation. Therefore, in order to meet the requirements of different users, in the embodiment of the invention, the activity level grade of the moving limb is evaluated while the muscle is electrically stimulated, and the corresponding electrical stimulation parameter of the limb is adjusted according to the judged activity level grade, so that the limb of the user can finish the final training target. For example, in the target of the muscle strength training, the elbow joint curvature that requires the user to complete the inward bending of the arm needs to be greater than 90 degrees, at this time, when the muscle of the user is electrically stimulated, the elbow joint curvature level of the user when the arm is bent inward is detected, the electrical stimulation parameter is adjusted according to the actual elbow joint curvature level of the user, if the elbow joint curvature level is less than 90 degrees, the intensity of the electrical stimulation parameter is enhanced, so that the inward bending amplitude of the arm of the user is stimulated, and otherwise, if the elbow joint curvature level is greater than 90 degrees, the intensity of the electrical stimulation parameter is reduced.

The embodiment of the invention fully meets the actual requirements of users in different conditions by detecting and distinguishing the limb activity level.

As a fourth preferred embodiment of the present invention, the present invention further includes: and receiving a scheme adjusting instruction input by a user, and adjusting the second electrical stimulation mode according to the scheme adjusting instruction.

In consideration of the fact that the intensity of the electrical stimulation parameter is inappropriate in practical situations, so that physical discomfort occurs to the user, for example, the intensity of the electrical stimulation signal is too large, so that pain occurs to the user. At this time, in order to ensure the safety of the user during use and meet the requirement of the user for autonomous adjustment, the user may manually adjust the electrical stimulation mode in the embodiment of the present invention, for example, may select to manually turn on or turn off the electrical stimulation signal output module, and may also adjust the electrical stimulation parameter of a certain electrical stimulation signal output module.

As a fifth preferred embodiment of the present invention, as shown in fig. 4, after S104, the method further includes:

and S108, controlling an acquisition module in the wearable device to acquire the motion data of each limb part.

And S109, performing activity level difference analysis on the limb parts before and after the muscle strength training according to the motion data, and adjusting the second electrical stimulation mode according to the result of the difference analysis. The muscle strength training is a process which is continuous in one cycle and is also a process that the muscle mass of the user is gradually improved. In order to ensure the effect of each muscle strength training, the embodiment of the invention analyzes the activity level of the limbs before and after the muscle strength training, and judges the effect of improving the muscle quality of the user in the muscle strength training process.

As an embodiment of the present invention, since each muscle strength training is a continuous process, for example, a muscle strength training may last for 20 minutes, when analyzing the activity level before and after the limb muscle strength training, the motion data N minutes before the muscle strength training may be selected as the sample data before the muscle strength training, and the motion data N minutes after the muscle strength training may be used as the sample data after the muscle strength training, so as to implement the analysis of the difference between the activity levels before and after the muscle strength training.

The result of the difference analysis is the difference between the body activity levels corresponding to the two sample data, for example, the motion data is divided into a plurality of activity level grades, the activity level grade to which the sample data belongs is judged, and then the difference between the two activity level grades is calculated. After the difference is obtained, if the difference is smaller than the horizontal threshold, it is indicated that the effect of the muscle strength training is not obvious, and at this time, the second electrical stimulation mode needs to be adjusted to enhance the strength of the electrical stimulation parameters, so as to enhance the effect of the muscle strength training. Otherwise, if the difference is greater than the horizontal threshold, the training effect is better, and no adjustment is needed. The specific value of the level threshold needs to be set by a technician according to actual conditions.

It should be noted that in all embodiments of the present invention, in order to ensure the safety of the user, a maximum upper limit value is set for each electrical stimulation parameter, and the set parameter value cannot be greater than the corresponding maximum upper limit value regardless of the automatic adjustment or the manual adjustment of the electrical stimulation parameter. If the upper limit value of the electrical stimulation intensity is set to be the human body safety voltage 36V, the maximum value cannot exceed 36V no matter the maximum value is automatically adjusted or manually set by a user.

In the first to fifth embodiments of the present invention, the electrical stimulation mode is formulated and adjusted by using the limb of the user as a unit, so that the formulation of the electrical stimulation mode of the user is more flexible, and the individual requirements of different limb conditions of different users and different limb conditions of the same user can be fully satisfied. The initial electrical stimulation mode is formulated according to the training grade, further automatic correction of the initial electrical stimulation mode is achieved according to the personal information of the user and the limb movement condition of the user, and accurate determination of each limb electrical stimulation signal output module of the user and the corresponding electrical stimulation parameters is guaranteed. Meanwhile, each muscle strength training is analyzed before and after training, and the scheme of the electrical stimulation mode of the next muscle strength training is adjusted by using the analysis result, so that the adaptive adjustment of the electrical stimulation mode is realized, the precision of each muscle strength training of the user is enhanced, and the purpose that the user helps the user to perform body building and exercise is realized.

Fig. 5 is a block diagram of a muscle electrical stimulation apparatus provided in an embodiment of the present invention, which corresponds to the method described in the above embodiment, and only shows the parts related to the embodiment of the present invention for convenience of description. The muscle electrical stimulation apparatus illustrated in fig. 5 may be an execution subject of the muscle electrical stimulation method of the foregoing embodiment.

Referring to fig. 5, the muscle electrical stimulation apparatus includes:

and the information reading module 51 is used for controlling the wearable device to read the personal information of the user and identify the limb part for performing muscle strength training and the corresponding training level. In order to improve the accuracy of the formulation of the muscle electrical stimulation mode of the user, the embodiment of the invention firstly collects the personal information of the user and determines the target part and the training grade of the muscle training of the time so as to formulate and obtain the required data for the subsequent muscle electrical stimulation scheme. The personal information mainly includes information such as age and sex of the user. Because the strength that the user's body can bear is different when different body quality users carry out muscle electro-stimulation, need to consider user's actual health and the condition of muscle electro-stimulation comprehensively when different body quality users carry out muscle electro-stimulation to guarantee under the prerequisite of user's safe handling, provide high-efficient accurate muscle electro-stimulation for the user.

Because the training effect that the user wants to reach can be different each time the muscle strength trains, in order to satisfy different demands of the user, the embodiment of the invention sets a plurality of different training grades, each training grade corresponds to the different intensity of the electric stimulation parameter combination, through choosing different training grades, the user can obtain the corresponding electric stimulation parameter to carry out the muscle electric stimulation to the limb part of the user, thereby the user can obtain the electric stimulation mode satisfying the own needs, and the accuracy of the electric stimulation mode is improved. In particular, personal information needs to be entered into the wearable device by the user or other person prior to electrical stimulation of the muscle. It should be noted that the different intensities of the electrical stimulation parameters in this specification refer to the different muscle strength training intensities brought to the body of the user by the electrical stimulation of the muscles due to the different parameters such as the electrical stimulation intensity, the electrical stimulation frequency, the electrical stimulation duration and the like in the electrical stimulation parameters, rather than the different electrical stimulation intensities in the electrical stimulation parameters. For the limb part to be stimulated by the electrical muscle stimulation and the corresponding training level of the user, the limb part may be manually selected by the user, may be automatically identified and determined according to the motion data of the user, or may be determined in a form compatible with both, and may be specifically selected by the user according to the actual situation, which is not limited herein.

And the mode determining module 52 is configured to determine, in the wearable device, the electrical stimulation signal output module corresponding to each limb part, and select the electrical stimulation parameter corresponding to each electrical stimulation signal output module according to the training level, so as to determine the first electrical stimulation mode.

In the embodiment of the invention, each limb part of a user in the wearable device is provided with the corresponding electric stimulation signal output module attached to the muscle of the limb part, after the limb part needing the electric stimulation of the muscle is determined, the electric stimulation signal output module corresponding to the limb part needing the electric stimulation of the muscle is activated, and the corresponding electric stimulation parameter is selected from a plurality of sets of electric stimulation parameters with different strengths preset in each limb part according to the training grade corresponding to the limb part, so that the automatic determination of the electric stimulation mode corresponding to the user can be realized.

And the mode adjusting module 53 is configured to calculate a stimulation adjustment ratio value corresponding to the personal information, and scale and adjust an electrical stimulation intensity parameter in the electrical stimulation parameters corresponding to each electrical stimulation signal output module in the first electrical stimulation mode based on the stimulation adjustment ratio value to obtain a second electrical stimulation mode.

And the stimulation output module 54 is used for outputting the electrical stimulation signals to the limb parts attached to the electrical stimulation signal output modules based on the second electrical stimulation mode.

After the final electrical stimulation mode is determined, controlling the activated electrical stimulation signal output module to perform electrical stimulation output on the attached limb part according to the electrical stimulation parameter corresponding to each activated electrical stimulation signal output module, wherein the specific steps are as follows: firstly, generating an electrical stimulation signal according to parameters such as electrical stimulation frequency, electrical stimulation intensity, electrical stimulation waveform type and the like in the electrical stimulation parameters, and outputting the generated electrical stimulation signal to the attached limb part through an electrical stimulation signal output module. And regulating and controlling the electrical stimulation signals in the muscle electrical stimulation process according to parameters such as stimulation duration, stimulation interval, stimulation alternating frequency and the like, determining the output time of the electrical stimulation signals according to the stimulation duration, and stopping outputting the electrical stimulation signals to the user when the stimulation duration is reached.

According to the embodiment of the invention, a plurality of sets of electric stimulation parameters with different strengths are set for each limb part by taking the limb part as a unit, and then the proper electric stimulation parameters are selected according to the training grade of each limb part, so that each limb part of a user needing muscle training can obtain the corresponding proper electric stimulation parameters, the pertinence of the muscle strength training of each limb part is ensured, and each user can obtain the electric stimulation muscle strength training scheme which is most suitable for the muscle condition of the user. Meanwhile, the first electrical stimulation mode is further corrected and adjusted by utilizing the personal information of the user, so that the finally obtained second electrical stimulation mode has pertinence for the user and better meets the actual safety requirement of the user, and a safer and more accurate electrical stimulation mode is provided for the user.

Further, the information reading module 51 includes:

and the information acquisition submodule is used for controlling an acquisition module in the wearable equipment to acquire the motion data of the user.

Considering that some non-professional fitness users do not know the muscle condition of themselves and the proper strength of the muscle strength training of themselves, the users only want to improve the muscle quality of themselves through the muscle strength training. In order to facilitate the users, the embodiment of the present invention provides a function of testing and identifying the limb part of the user that needs to perform muscle strength training and the corresponding training level, and the user only needs to perform a specified test action according to the prompt after wearing the wearable device, and then perform motion identification on the user by the wearable device, and determine the limb part of the user that needs to perform muscle strength training and the corresponding training level, which is detailed as follows: after the user wears the wearable device, the user is prompted to move by one or more combined prompting modes of characters, images, videos and voices, the user is guided to test movement, and movement data of the user in the movement process are collected. Wherein the motion data includes, but is not limited to, angular information such as the joint location of the user's limb.

And the grade analysis submodule is used for determining the limb part of the user for performing muscle strength training and the corresponding training grade by analyzing the motion data. Because the motion data of the corresponding limb part of each preset test action has a reasonable numerical range, once the actual motion data of the limb part of the user exceeds the corresponding reasonable numerical range, the muscle quality of the limb part of the user is relatively poor, and corresponding muscle strength training is required, meanwhile, the larger the deviation from the reasonable numerical range is, the poorer the muscle quality is, and in order to achieve a better muscle strength training effect, the higher the corresponding training grade is, the higher the muscle electrical stimulation is required. The reasonable numerical range of the limb part motion data corresponding to each test action and the training grades corresponding to different deviation ranges are set by technicians according to actual conditions.

Further, the stimulation output module 54 includes:

and the motion recognition module is used for controlling the acquisition module in the wearable device to acquire myoelectric data and motion data of each limb part and judging whether each limb part generates motion or not according to the motion data. For the limb with the heavy motion inconvenience degree, the muscle is seriously degenerated due to the fact that the muscle does not move for a long time, so that a user cannot control the limb muscle to complete normal limb motion, the requirement that the muscle is only in strength after the limb motion is completed has the requirement on coordination control among the muscles, therefore, in order to help the user to improve the muscle quality and improve the muscle autonomous control capacity, the motion trend recognition is carried out on the limb part of the user which does not move, and the output module of the electrical stimulation signal and the corresponding electrical stimulation parameter are adjusted according to the motion trend recognition, so that the user is helped to gradually improve the muscle autonomous control capacity and the muscle quality.

The first parameter adjusting module is used for identifying the movement trend of the limb part which does not move by using the electromyographic data for the limb part which does not move, and adjusting the corresponding electrostimulation parameter of the electrostimulation signal output module of the limb part which does not move according to the movement trend. In order to help a user improve the autonomous control capability and muscle quality of muscles, the embodiment of the invention stores a plurality of sets of stimulation requirements corresponding to different limb actions in advance, and mainly comprises muscles required to be stimulated corresponding to the limb actions, electrical stimulation frequency, a stimulation sequence among the muscles and the like. After the movement trend of the user limb is identified, the stimulation requirement corresponding to the limb action is found out, and the electrical stimulation signal output module and the electrical stimulation parameter corresponding to the limb are adjusted according to the found stimulation requirement, so that the user is helped to gradually improve the autonomous control capability and the muscle quality of the muscle. The muscle to be stimulated by the limb movement and the stimulation sequence among the muscles can be set by a technician after sampling and analyzing the muscle to be actually activated and the muscle activation sequence when the real human body performs the movement, for example, the activity condition of the muscle of the leg of the real human body when the knee is bent is analyzed, the muscle to be used for bending the knee and the muscle activation sequence are determined, and corresponding setting is performed.

And the second parameter adjusting module is used for judging the activity level grade of the limb part generating the movement according to the movement data for the limb part generating the movement and adjusting the electrical stimulation parameters of the electrical stimulation signal output module corresponding to the limb part generating the movement according to the activity level grade.

When the limb is detected to move, the situation that the limb is not inconvenient to move is indicated, and the limb can perform certain autonomous movement. In the embodiment of the invention, the muscle strength training is carried out on the user by utilizing the mode of the autonomous movement and the muscle electrical stimulation of the user so as to improve the training effect. In practical situations, different users have different sensitivity degrees to electrical stimulation of muscles, and therefore, in order to meet the requirements of different users, in the embodiment of the invention, the activity level grade of the moving limb is evaluated while the electrical stimulation of the muscles is performed, and the electrical stimulation parameters corresponding to the limb are adjusted according to the judged activity level grade, so that the limb of the user can finish the final training target. For example, in the target of the muscle strength training, the elbow joint curvature requiring the user to complete the inward bending of the arm needs to be greater than 90 degrees, at the moment, when the muscle of the user is electrically stimulated, the elbow joint curvature grade of the user when the arm is bent inward is detected, the electrical stimulation parameter is adjusted according to the actual elbow joint curvature grade of the user, if the elbow joint curvature grade is less than 90 degrees, the intensity of the electrical stimulation parameter is enhanced, so that the inward bending amplitude of the arm of the user is stimulated, and if the elbow joint curvature grade is greater than 90 degrees, the intensity of the electrical stimulation parameter is reduced. The embodiment of the invention fully meets the actual requirements of users in different conditions by detecting and distinguishing the limb activity level.

Further, the muscle electrical stimulation apparatus further includes: and the mode adjusting module is used for receiving a scheme adjusting instruction input by a user and adjusting the second electrical stimulation mode according to the scheme adjusting instruction. In consideration of the fact that the intensity of the electrical stimulation parameter is inappropriate in practical situations, so that physical discomfort occurs to the user, for example, the intensity of the electrical stimulation signal is too large, so that pain occurs to the user. At this time, in order to ensure the safety of the user during use and meet the requirement of the user for autonomous adjustment, the user may manually adjust the electrical stimulation mode in the embodiment of the present invention, for example, may select to manually turn on or turn off the electrical stimulation signal output module, and may also adjust the electrical stimulation parameter of a certain electrical stimulation signal output module.

Further, the muscle electrical stimulation apparatus further includes: and the data acquisition module is used for controlling the acquisition module in the wearable equipment to acquire the motion data of each limb part.

And the third parameter adjusting module is used for performing activity level difference analysis on the limb parts before and after the muscle strength training according to the motion data and adjusting the second electrical stimulation mode according to the result of the difference analysis. The muscle strength training is a process which is continuous in one cycle and is also a process that the muscle mass of the user is gradually improved. In order to ensure the effect of the muscle strength training at each time, the limb activity levels before and after the muscle strength training are analyzed, and the effect of improving the muscle quality of the user in the muscle strength training process is judged.

The process of each module in the muscle electrical stimulation device provided in the embodiment of the present invention to implement each function may specifically refer to the description of the embodiment shown in fig. 1 to 5 and other related embodiments, and is not repeated here.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

Fig. 6 is a schematic diagram of a wearable device provided in an embodiment of the present invention. As shown in fig. 6, the wearable device 6 of this embodiment includes: a processor 60, a memory 61 and a computer program 62 stored in said memory 61 and executable on said processor 60. The processor 60, when executing the computer program 62, implements the steps in the various muscle electrical stimulation method embodiments described above, such as the steps 101 to 104 shown in fig. 1. Alternatively, the processor 60, when executing the computer program 62, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 51 to 54 shown in fig. 5.

The wearable device may include, but is not limited to, a processor 60, a memory 61. Those skilled in the art will appreciate that fig. 6 is merely an example of a wearable device 6, does not constitute a limitation of wearable device 6, and may include more or fewer components than shown, or combine certain components, or different components, e.g., the wearable device may also include input-output devices, network access devices, buses, etc.

The Processor 60 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of each functional unit or module is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units or modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware or a form of software functional unit. In addition, specific names of the functional units and modules are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed wearable device and method may be implemented in other ways. For example, the above-described wearable device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical functional division, and there may be other divisions when actually implemented, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims

1. A muscle electrical stimulation apparatus, comprising:

the mode determining module is used for respectively determining an electric stimulation signal output module corresponding to each limb part in the wearable device, and selecting an electric stimulation parameter corresponding to each electric stimulation signal output module according to the training grade to determine a first electric stimulation mode, wherein a plurality of sets of electric stimulation parameters with different intensities and corresponding to the training grade are preset in each limb part;

2. The muscle electrical stimulation apparatus of claim 1, wherein the stimulation output module comprises:

the motion recognition module is used for controlling an acquisition module in the wearable device to acquire myoelectric data and motion data of each limb part and judging whether each limb part moves or not according to the motion data;

the first parameter adjusting module is used for identifying the movement trend of the limb part which does not move by utilizing the electromyographic data for the limb part which does not move, and adjusting the electric stimulation parameters corresponding to the electric stimulation signal output module of the limb part which does not move according to the movement trend;

and the second parameter adjusting module is used for judging the activity level grade of the limb part generating the movement according to the movement data for the limb part generating the movement and adjusting the electric stimulation parameters of the electric stimulation signal output module corresponding to the limb part generating the movement according to the activity level grade.

3. The muscle electro-stimulation device as claimed in claim 1, further comprising:

the data acquisition module is used for controlling the acquisition module in the wearable equipment to acquire the motion data of each limb part;

and the third parameter adjusting module is used for performing activity level difference analysis on the limb parts before and after the muscle strength training according to the motion data and adjusting the second electrical stimulation mode according to the result of the difference analysis.

4. A method of electrical muscle stimulation, comprising:

respectively determining an electrical stimulation signal output module corresponding to each limb part in the wearable device, and selecting an electrical stimulation parameter corresponding to each electrical stimulation signal output module according to the training grade to determine a first electrical stimulation mode, wherein a plurality of sets of electrical stimulation parameters with different intensities and corresponding to the training grades are preset in each limb part;

5. The method of electrical muscle stimulation according to claim 4, wherein the identifying of the limb portion on which the muscular strength training is performed and the corresponding training level comprises:

controlling an acquisition module in the wearable device to acquire motion data of the user;

and determining the limb part of the user for performing muscle strength training and the corresponding training grade by analyzing the motion data.

6. The muscle electrical stimulation method according to claim 4, further comprising, while outputting the electrical stimulation signal to the limb part to which each of the electrical stimulation signal output modules is attached based on the second electrical stimulation mode:

controlling an acquisition module in the wearable device to acquire myoelectric data and motion data of each limb part, and judging whether each limb part moves or not according to the motion data;

for the limb part which does not move, identifying the movement trend of the limb part which does not move by using the electromyographic data, and adjusting the electric stimulation parameters corresponding to the electric stimulation signal output module of the limb part which does not move according to the movement trend;

and for the limb part which generates the movement, judging the activity level grade of the limb part which generates the movement according to the movement data, and adjusting the electrical stimulation parameters of the electrical stimulation signal output module corresponding to the limb part which generates the movement according to the activity level grade.

7. The method of electrical muscle stimulation according to any one of claims 4 or 6, further comprising:

and receiving a scheme adjusting instruction input by the user, and adjusting the second electrical stimulation mode according to the scheme adjusting instruction.

8. The muscle electrical stimulation method according to any one of claims 4 or 6, further comprising, after outputting electrical stimulation signals to the limb part to which each of the electrical stimulation signal output modules is attached based on the second electrical stimulation pattern:

controlling an acquisition module in the wearable device to acquire motion data of each limb part;

and performing activity level difference analysis on the limb parts before and after the muscle strength training according to the motion data, and adjusting the second electrical stimulation mode according to the result of the difference analysis.

9. A wearable device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 4 to 8 when executing the computer program.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 4 to 8.