Signal generation method and device for relieving pelvic floor muscle fatigue, equipment and storage medium

Abstract

The invention relates to the technical field of signal processing, and provides a signal generation method and device for relieving fatigue of pelvic floor muscles, equipment and a storage medium wherein the signal generation method for relieving fatigue of pelvic floor muscles comprises the following steps: obtaining fatigue state data of current pelvic floor muscles; according to the fatigue state data, determining signal intensities and signal frequencies to be distributed to different muscle groups; according to the fatigue state data and the basic recovery time of the different muscle groups, time for outputting signals to the different muscle groups is determined; according to the time, the signal intensity and the signal frequency of outputting the signals to the different muscle groups respectively, corresponding signals are generated for the different muscle groups respectively. The signal intensity and the signal frequency for stimulating the muscle groups are determined through the fatigue state data of the pelvic floor muscles, the time for stimulating the muscle groups is determined by combining the basic recovery time of different muscle groups, and the training effect of the pelvic floor muscles can be improved while muscle fatigue can be effectively relieved.

Description

Technical Field

[0001] The present invention relates to the field of signal processing technology, and in particular to a signal generation method, device, equipment and storage medium for alleviating pelvic floor muscle fatigue. Background Art

[0002] The health and function of the pelvic floor muscles are crucial to many problems such as urinary incontinence and fecal incontinence. In pelvic floor muscle rehabilitation training, electrical stimulation is usually used to promote muscle contraction and relaxation, but long-term electrical stimulation may cause muscle fatigue, affect the training effect and may even cause muscle damage. At present, most electrical stimulation devices can only provide constant or fixed stimulation signals, and prevent muscle fatigue through intermittent stimulation. This method is mechanical and cannot adjust the stimulation signal in real time according to the fatigue state of the pelvic floor muscles, which will affect the user experience and training effect. Therefore, how to effectively relieve muscle fatigue and improve the training effect of pelvic floor muscles in pelvic floor muscle training is a technical problem that needs to be solved urgently. Summary of the invention

[0003] The embodiments of the present application provide a signal generation method, device, equipment and storage medium for relieving pelvic floor muscle fatigue. The signal strength and signal frequency used to stimulate the muscle groups are determined by the fatigue status data of the pelvic floor muscles, and the time to stimulate the muscle groups is determined in combination with the basic recovery time of different muscle groups. This can effectively relieve muscle fatigue while improving the training effect of the pelvic floor muscles.

[0004] In a first aspect, an embodiment of the present application provides a signal generation method for relieving pelvic floor muscle fatigue, comprising: obtaining fatigue status data of current pelvic floor muscles; determining signal strength and signal frequency to be allocated to different muscle groups based on the fatigue status data; determining the time to output signals to different muscle groups respectively based on the fatigue status data and the basic recovery time of different muscle groups; generating corresponding signals to each different muscle group according to the time, signal strength and signal frequency of outputting signals to different muscle groups respectively.

[0005] In a second aspect, an embodiment of the present application provides a signal generating device for relieving pelvic floor muscle fatigue, including: an acquisition module, for acquiring fatigue state data of current pelvic floor muscles;

[0006] A first determination module, for determining the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue state data;

[0007] The second determination module is used to determine the time to output signals to different muscle groups according to the fatigue state data and the basic recovery time of different muscle groups;

[0008] The generation module is used to generate corresponding signals to different muscle groups according to the time, signal strength and signal frequency of outputting signals to different muscle groups.

[0009] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0010] Memory and processing modules;

[0011] The memory is used to store computer programs;

[0012] The processing module is used to execute the computer program and implement the steps of the signal generation method for relieving pelvic floor muscle fatigue as described in the first aspect above when executing the computer program.

[0013] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program;

[0014] When the computer program is executed by one or more processing modules, the one or more processing modules execute the steps of the signal generation method for relieving pelvic floor muscle fatigue in the first aspect as described above.

[0015] The embodiments of the present application provide a signal generation method, device, equipment and storage medium for relieving pelvic floor muscle fatigue, wherein the signal generation method for relieving pelvic floor muscle fatigue includes: obtaining fatigue status data of the current pelvic floor muscle; determining the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue status data; determining the time to output signals to different muscle groups according to the fatigue status data and the basic recovery time of different muscle groups; generating corresponding signals to each different muscle group according to the time, signal strength and signal frequency of outputting signals to different muscle groups. By determining the signal strength and signal frequency for stimulating the muscle group through the fatigue status data of the pelvic floor muscle, and determining the time to stimulate the muscle group in combination with the basic recovery time of different muscle groups, it is possible to effectively relieve the fatigue of the pelvic floor muscles while improving the training effect of the pelvic floor muscles. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0017] Figure 1 A schematic diagram of a flow chart of a signal generation method for relieving pelvic floor muscle fatigue provided in an embodiment of the present application;

[0018] Figure 2A schematic diagram of the structure of a signal generating device for relieving pelvic floor muscle fatigue provided in an embodiment of the present application;

[0019] Figure 3 A schematic block diagram of a signal generating device for relieving pelvic floor muscle fatigue provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0022] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0023] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0024] The technical solution provided by this application will be described in detail below with reference to the accompanying drawings.

[0025] See also Figure 1 , Figure 1 The flowchart of the signal generation method for relieving pelvic floor muscle fatigue provided in the embodiment of the present application is shown in FIG. The signal generation method for relieving pelvic floor muscle fatigue provided in the present embodiment can be performed by different devices used to repair the pelvic floor muscle state or treat the pelvic floor muscle. Specifically, Figure 1 It can be seen that the signal generation method for relieving pelvic floor muscle fatigue provided in the embodiment of the present application includes the following steps:

[0026] S101: Obtaining fatigue status data of current pelvic floor muscles.

[0027] In this embodiment, the fatigue state data of the pelvic floor muscles is dynamically evaluated by combining the different characteristics of the current response and the electromyographic signal. Among them, the current response is the current response generated by different muscle groups of the pelvic floor muscles under the stimulation of the signal measured by the current sensor. The current response is related to the degree of activation and electrical activity of the muscle, and reflects the electrical activity of the muscle after being stimulated by an external signal. Electromyographic signals usually reflect the contraction and relaxation of the muscles. These signals can be detected by electromyographic sensors and will vary due to different activity levels of the muscles. Especially during fatigue, the changes in electromyographic signals will be more obvious.

[0028] Exemplarily, obtaining the fatigue status data of the current pelvic floor muscles includes: collecting the current response caused by signal stimulation of different muscle groups of the pelvic floor muscles; collecting the electromyographic signals of different muscle groups of the pelvic floor muscles; and obtaining the fatigue status data of the current pelvic floor muscles based on the current response and the electromyographic signals.

[0029] Fatigue status data, expressed as:

[0030] F(t)=ω1·RMS(EMG(t))+ω2·MF(EMG(t))+ω3·I(t)

[0031] Among them, F(t) represents the fatigue state of the pelvic floor muscles at time t, RMS(EMG(t)) represents the root mean square value of the electromyographic signal at time t, which is used to reflect the intensity of muscle activity; MF(EMG(t)) represents the intermediate frequency component of the electromyographic signal, which is used to reflect the fatigue characteristics; I(t) represents the current response at time t, which is used to reflect the current electrical response intensity of the muscle.

[0032] In a fatigued state, the intensity of muscle activity usually changes. A higher RMS value usually indicates that the muscle is in a higher activity state or a higher fatigue level. The intermediate frequency component reflects the fatigue characteristics. When the muscle is fatigued, the intermediate frequency component usually increases, so it is used to determine whether the muscle is in a fatigued state. An increase in the current response usually indicates that the activation intensity of the muscle group is increased or the muscle is in a more tense state. Through the above-mentioned feature combination analysis, a comprehensive fatigue state assessment can be obtained, which not only reflects the current state of the muscle, but also can be used as a dynamically changing indicator to help determine whether the muscle is in an over-fatigue state or whether the intensity and frequency of the stimulation signal need to be adjusted.

[0033] S102: Determine the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue status data.

[0034] According to the fatigue status data, the signal strength and signal frequency to be allocated to different muscle groups are determined, including: according to the predetermined upper limit of pulse strength, upper limit of fatigue and fatigue status data of each different muscle group, the signal strength to be allocated to each muscle group is determined respectively; according to the predetermined basic frequency of the pulse signal of each different muscle group, the frequency adjustment factor and fatigue status data, the signal frequency to be allocated to each muscle group is determined.

[0035] The setting of the upper limit of the electrical stimulation signal strength for each muscle group is usually based on physiological research to ensure that the signal strength will not cause harm. The process of setting the upper limit of the electrical stimulation signal strength for muscle groups will not be described in detail here. For details, please refer to physiological research. The working capacity of each muscle group under different fatigue states is different. The upper limit of fatigue refers to the maximum fatigue that the muscle can withstand under extreme working conditions. The fatigue state data detected in real time reflects the current fatigue level of the muscle. Based on these data, the current fatigue status of different muscle groups can be determined, so as to reasonably adjust the signal strength.

[0036] Specifically, according to the predetermined upper limit of pulse intensity, upper limit of fatigue degree and fatigue state data of each different muscle group, the signal strength to be allocated to each muscle group is determined respectively, which can be expressed as:

[0037]

[0038] Among them, I al located，i Indicates the signal strength to be allocated after adjustment based on the current fatigue level, I max，i Indicates the upper limit of the maximum pulse intensity for each muscle group. Indicates the ratio of the current fatigue level of the muscle group to the maximum fatigue level. The larger the value, the more fatigued the muscle is. It is a normalization factor used to reduce the signal strength distribution. When the muscle is fatigued, the signal strength should be reduced to avoid exceeding the muscle's tolerance.

[0039] From the above signal strength calculation formula, we can know that when the muscle group fatigue is low, that is, F current,i When it is close to 0, the signal strength is close to the maximum pulse strength upper limit I max，i When the fatigue level of a muscle group approaches the maximum fatigue level, that is, F current,i Close to F max,i When the signal intensity is significantly reduced, further stimulation is avoided.

[0040] According to the predetermined basic frequency, frequency adjustment factor and fatigue status data of the pulse signal of each different muscle group, the signal frequency to be allocated to each muscle group is determined, which can be expressed as:

[0041]

[0042] Among them, f allocated,i represents the distribution frequency adjusted according to fatigue status, f base,i Indicates the basic frequency of each muscle group, which represents the basic stimulation frequency of the muscle group. is the ratio of the current fatigue degree to the maximum fatigue degree, indicating the degree of muscle fatigue; k f,i It is the frequency adjustment factor, which is set as needed to control the frequency adjustment amplitude.

[0043] Specifically, k f,i The larger the value, the higher the sensitivity of frequency adjustment; usually set to 0 <k f,i ≤1. When the current fatigue level is low, that is, F current,i When it is approximately equal to 0, the signal frequency is close to the fundamental frequency f base,i ; When the current fatigue level is close to the upper limit of fatigue level, F current,i Approximately equal to F max,i The signal frequency will be reduced to avoid overloading the muscles.

[0044] S103: Determine the time to output signals to different muscle groups according to the fatigue status data and the basic recovery time of different muscle groups.

[0045] According to fatigue status data and basic recovery time of different muscle groups, the time to output signals to different muscle groups is determined, including: according to the basic recovery time of different muscle groups, the influence coefficient of preset fatigue degree on recovery time and fatigue status data, the time to output signals to different muscle groups is determined.

[0046] Specifically, according to the basic recovery time of different muscle groups, the influence coefficient of preset fatigue degree on the recovery time and fatigue state data, the time to output signals to different muscle groups is determined, which is expressed as:

[0047]

[0048] Among them, T base,i is the basic recovery time of the i-th muscle group, k i F is the influence coefficient of fatigue on recovery time, i is the current fatigue status data of the i-th muscle group, T i is the time to output pulse signal to the i-th muscle group, F max,i is the upper limit of fatigue of the ith muscle group.

[0049] Among them, the basic recovery time of different muscle groups can dynamically determine the basic recovery time of each muscle group by combining the recovery time coefficient, load value and adjustment coefficient, so that the recovery time is more suitable for the specific situation of the muscle group. Specifically, before determining the time to output signals to different muscle groups respectively according to the fatigue state data and the basic recovery time of different muscle groups, it also includes: determining the basic recovery time of different muscle groups according to the recovery time coefficient of the muscle group, the load value of the muscle group and the adjustment coefficient.

[0050] Among them, the recovery time coefficient is a fixed parameter predetermined for each muscle group, which is used to identify the recovery characteristics of the muscle group. The larger the recovery time coefficient, the longer the muscle group needs to recover. The load value represents the workload of the current muscle group, that is, the force or intensity of stimulation to which the muscle group is subjected. The higher the load value, the higher the fatigue of the muscle group, so the time required for recovery may increase. The load value can be obtained by monitoring the activity intensity, force condition or current stimulation intensity of the muscle group. The adjustment coefficient is used to refine or adjust the calculation of the recovery time, and it can be set according to actual conditions and individual differences.

[0051] S104: Generate corresponding signals to different muscle groups according to the time, signal strength and signal frequency of outputting signals to different muscle groups.

[0052] Through the above analysis, it can be known that the signal generation method for relieving pelvic floor muscle fatigue provided by the embodiment of the present application includes: obtaining the fatigue state data of the current pelvic floor muscle; determining the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue state data; determining the time to output signals to different muscle groups according to the fatigue state data and the basic recovery time of different muscle groups; generating corresponding signals to each different muscle group according to the time, signal strength and signal frequency of outputting signals to different muscle groups. Determining the signal strength and signal frequency used to stimulate the muscle group through the fatigue state data of the pelvic floor muscle, and determining the time to stimulate the muscle group in combination with the basic recovery time of different muscle groups can effectively relieve muscle fatigue while improving the training effect of the pelvic floor muscle.

[0053] See also Figure 2 As shown, Figure 2 This is a schematic diagram of the structure of a signal generating device for relieving pelvic floor muscle fatigue provided in an embodiment of the present application. Figure 2 It can be seen that the signal generating device 20 for relieving pelvic floor muscle fatigue provided in the embodiment of the present application includes:

[0054] An acquisition module 201 is used to acquire fatigue status data of the current pelvic floor muscles;

[0055] A first determination module 202, for determining the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue state data;

[0056] A second determination module 203 is used to determine the time to output signals to different muscle groups according to the fatigue state data and the basic recovery time of different muscle groups;

[0057] The generation module 204 is used to generate corresponding signals to different muscle groups according to the time of outputting signals to different muscle groups, the signal strength and the signal frequency.

[0058] In one embodiment, the acquisition module 201 includes:

[0059] The first acquisition unit is used to acquire the current response caused by the signal stimulation of different muscle groups of the pelvic floor muscles;

[0060] The second acquisition unit is used to collect electromyographic signals of different muscle groups of the pelvic floor muscles;

[0061] The obtaining unit is used to obtain the fatigue state data of the current pelvic floor muscles according to the current response and the electromyographic signal.

[0062] In one embodiment, fatigue status data is expressed as:

[0063] F(t)=ω1·RMS(EMG(t))+ω2·MF(EMG(t))+ω3·I(t)

[0064] Among them, F(t) represents the fatigue state of the pelvic floor muscles at time t, RMS(EMG(t)) represents the root mean square value of the electromyographic signal at time t, which is used to reflect the intensity of muscle activity; MF(EMG(t)) represents the intermediate frequency component of the electromyographic signal, which is used to reflect the fatigue characteristics; I(t) represents the average current response value at time t, which is used to reflect the current electrical response intensity of the muscle.

[0065] In one embodiment, the first determining module 202 includes:

[0066] A first determination unit is used to determine the signal strength to be allocated to each muscle group according to the predetermined pulse intensity upper limit, fatigue upper limit and fatigue status data of each different muscle group;

[0067] The second determination unit is used to determine the signal frequency to be allocated to each muscle group based on the predetermined basic frequency of the pulse signal of each different muscle group, the frequency adjustment factor and the fatigue status data.

[0068] In one embodiment, the second determining module 203 is specifically configured to:

[0069] The time to output signals to different muscle groups is determined based on the basic recovery time of different muscle groups, the influence coefficient of preset fatigue level on recovery time and fatigue status data.

[0070] In one embodiment, the second determination module 203 is used to determine the time to output signals to different muscle groups according to the basic recovery time of different muscle groups, the influence coefficient of preset fatigue degree on the recovery time, and the fatigue state data, which is specifically expressed as:

[0071]

[0072] Among them, T base,i is the basic recovery time of the i-th muscle group, k i F is the influence coefficient of fatigue on recovery time, i is the current fatigue status data of the i-th muscle group, T i is the time to output pulse signal to the i-th muscle group, F max,i is the upper limit of fatigue of the ith muscle group.

[0073] In one embodiment, the device 20 further includes:

[0074] The basic recovery time of different muscle groups is determined based on the recovery time coefficient of the muscle group, the load value of the muscle group and the adjustment coefficient.

[0075] It should be noted that the specific implementation process of the above modules or units can refer to the implementation process of each step in the previous method embodiment, which will not be repeated here.

[0076] See also Figure 3 As shown, Figure 3 A schematic block diagram of a signal generating device for relieving pelvic floor muscle fatigue provided in an embodiment of the present application.

[0077] Exemplarily, the signal generating device 30 for relieving pelvic floor muscle fatigue includes a processing module 301 and a memory 302 .

[0078] Exemplarily, the processing module 301 and the memory 302 are connected via a bus 303 , and the bus 303 is, for example, an I2C (Inter-integrated Circuit) bus.

[0079] Specifically, the processing module 301 may be a micro-controller unit (MCU), a central processing unit (CPU) or a digital signal processing module (DSP).

[0080] Specifically, the memory 302 may be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a mobile hard disk.

[0081] The processing module 301 is used to run the computer program stored in the memory 302, and implement the steps of the signal generation method for relieving pelvic floor muscle fatigue when executing the computer program.

[0082] Exemplarily, the processing module 301 is used to run the computer program stored in the memory 302, and implement the following steps when executing the computer program:

[0083] Obtain the fatigue status data of the current pelvic floor muscles;

[0084] Determine the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue status data;

[0085] Determine the time to output signals to different muscle groups based on fatigue status data and basic recovery time of different muscle groups;

[0086] According to the time, signal strength and signal frequency of outputting signals to different muscle groups respectively, corresponding signals are generated to different muscle groups respectively.

[0087] In one embodiment, obtaining the fatigue state data of the current pelvic floor muscles includes:

[0088] Collect the current response caused by signal stimulation of different muscle groups of the pelvic floor muscles;

[0089] Collect electromyographic signals of different muscle groups of the pelvic floor muscles;

[0090] According to the current response and the electromyographic signal, the fatigue state data of the current pelvic floor muscles is obtained.

[0091] In one embodiment, fatigue status data is expressed as:

[0092] F(t)=ω1·RMS(EMG(t))+ω2·MF(EMG(t))+ω3·I(t)

[0093] Among them, F(t) represents the fatigue state of the pelvic floor muscles at time t, RMS(EMG(t)) represents the root mean square value of the electromyographic signal at time t, which is used to reflect the intensity of muscle activity; MF(EMG(t)) represents the intermediate frequency component of the electromyographic signal, which is used to reflect the fatigue characteristics; I(t) represents the average current response value at time t, which is used to reflect the current electrical response intensity of the muscle.

[0094] In one embodiment, determining the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue status data includes:

[0095] Determine the signal strength to be allocated to each muscle group according to the predetermined pulse intensity upper limit, fatigue upper limit and fatigue status data of each muscle group;

[0096] The signal frequency to be allocated to each muscle group is determined based on the predetermined basic frequency of the pulse signal of each different muscle group, the frequency adjustment factor and fatigue status data.

[0097] In one embodiment, determining the time to output signals to different muscle groups respectively according to fatigue state data and basic recovery time of different muscle groups includes:

[0098] The time to output signals to different muscle groups is determined based on the basic recovery time of different muscle groups, the influence coefficient of preset fatigue level on recovery time and fatigue status data.

[0099] In one embodiment, the time to output signals to different muscle groups is determined according to the basic recovery time of different muscle groups, the influence coefficient of preset fatigue degree on the recovery time, and fatigue state data, which is expressed as:

[0100]

[0101] Among them, T base,i is the basic recovery time of the i-th muscle group, k i F is the influence coefficient of fatigue on recovery time, i is the current fatigue status data of the i-th muscle group, T i is the time to output pulse signal to the i-th muscle group, F max,i is the upper limit of fatigue of the ith muscle group.

[0102] In one embodiment, before determining the time to output signals to different muscle groups respectively according to the fatigue state data and the basic recovery time of different muscle groups, the method further includes:

[0103] The basic recovery time of different muscle groups is determined based on the recovery time coefficient of the muscle group, the load value of the muscle group and the adjustment coefficient.

[0104] The specific principles and implementation methods of the signal generating device for relieving pelvic floor muscle fatigue provided in the embodiment of the present application are similar to those of the signal generating method for relieving pelvic floor muscle fatigue in the aforementioned embodiment, and will not be repeated here.

[0105] The embodiment of the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by the processing module, the processing module implements each step in the above method embodiment. The details will not be repeated here.

[0106] The computer-readable storage medium may be an internal storage unit of the signal generating device for relieving pelvic floor muscle fatigue in the aforementioned embodiment, such as a hard disk or memory of the signal generating device for relieving pelvic floor muscle fatigue. The computer-readable storage medium may also be an external storage device of the signal generating device for relieving pelvic floor muscle fatigue, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the signal generating device for relieving pelvic floor muscle fatigue.

[0107] It should be understood that the terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0108] It will also be understood that the term "and / or" used in this application and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0109] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A signal generation method for relieving pelvic floor muscle fatigue, characterized in that: include: Obtain the fatigue status data of the current pelvic floor muscles; Determining the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue status data; Determining the time to output signals to different muscle groups respectively according to the fatigue state data and the basic recovery time of different muscle groups; According to the time of outputting signals to different muscle groups, the signal strength and the signal frequency, corresponding signals are generated to different muscle groups.

2. The signal generation method for relieving pelvic floor muscle fatigue according to claim 1, characterized in that: The step of obtaining the fatigue status data of the current pelvic floor muscles includes: Collect the current response caused by signal stimulation of different muscle groups of the pelvic floor muscles; Collect electromyographic signals of different muscle groups of the pelvic floor muscles; The fatigue state data of the current pelvic floor muscles is determined according to the current response and the electromyographic signal.

3. The signal generation method for relieving pelvic floor muscle fatigue according to claim 2, characterized in that: The fatigue state data is expressed as: F(t)=ω1·RMS(EMG(t))+ω2·MF(EMG(t))+ω3·I(t) Among them, F(t) represents the fatigue state of the pelvic floor muscles at time t, RMS(EMG(t)) represents the root mean square value of the electromyographic signal at time t, which is used to reflect the intensity of muscle activity; MF(EMG(t)) represents the intermediate frequency component of the electromyographic signal, which is used to reflect the fatigue characteristics; I(t) represents the current response at time t, which is used to reflect the current electrical response intensity of the muscle.

4. The signal generation method for relieving pelvic floor muscle fatigue according to claim 1, characterized in that: Determining the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue state data includes: Determine the signal strength to be allocated to each muscle group according to the predetermined upper limit of the pulse intensity, the upper limit of the fatigue level and the fatigue status data of each different muscle group; The signal frequency to be allocated to each muscle group is determined based on the predetermined basic frequency of the pulse signal of each different muscle group, the frequency adjustment factor and the fatigue status data.

5. The signal generation method for relieving pelvic floor muscle fatigue according to claim 4, characterized in that: The step of determining the time to output signals to different muscle groups respectively according to the fatigue state data and the basic recovery time of different muscle groups includes: The time to output signals to different muscle groups is determined according to the basic recovery time of the different muscle groups, the influence coefficient of the preset fatigue degree on the recovery time and the fatigue state data.

6. The signal generation method for relieving pelvic floor muscle fatigue according to claim 5, characterized in that: The time for outputting signals to different muscle groups is determined according to the basic recovery time of the different muscle groups, the influence coefficient of the preset fatigue degree on the recovery time, and the fatigue state data, which is expressed as: Among them, T base,i is the basic recovery time of the i-th muscle group, k i is the influence coefficient of fatigue on recovery time, F i is the current fatigue status data of the i-th muscle group, T i is the time to output pulse signal to the i-th muscle group, F max,i is the upper limit of fatigue of the ith muscle group.

7. The signal generation method for relieving pelvic floor muscle fatigue according to claim 1, characterized in that: Before determining the time to output signals to different muscle groups respectively according to the fatigue state data and the basic recovery time of different muscle groups, the method further includes: The basic recovery time of different muscle groups is determined based on the recovery time coefficient of the muscle group, the load value of the muscle group and the adjustment coefficient.

8. A signal generating device for relieving pelvic floor muscle fatigue, characterized in that: include: An acquisition module is used to obtain the fatigue status data of the current pelvic floor muscles; A first determination module, used for determining the signal strength and signal frequency to be allocated to different muscle groups according to the fatigue state data; A second determination module is used to determine the time to output signals to different muscle groups respectively according to the fatigue state data and the basic recovery time of different muscle groups; The generating module is used to generate corresponding signals to different muscle groups according to the time of outputting signals to different muscle groups, the signal strength and the signal frequency.

9. An electronic device, characterized in that: include: Memory and processing modules; The memory is used to store computer programs; The processing module is used to execute the computer program and implement the steps of the signal generation method for relieving pelvic floor muscle fatigue as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program; When the computer program is executed by one or more processing modules, the one or more processing modules execute the steps of the signal generation method for relieving pelvic floor muscle fatigue as described in any one of claims 1 to 7.

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