Method for evaluating muscle state of patients with pelvic floor dysfunction based on surface electromyogram signals

Abstract

The present invention relates to the technical field of electromyogram signal analysis, and specifically relates to a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyogram signals. First, according to the characteristics that the muscles of patients with pelvic floor dysfunction are less sensitive to the response of current and are prone to fatigue, the severity of the dysfunction is analyzed by combining electromyogram signals; then, based on the characteristics that the threshold for the muscles of patients with pelvic floor dysfunction to reach the maximum contraction degree is lower during the process of increasing the current intensity, the signal amplitude of the muscles themselves is lower, and the severity of the dysfunction is higher, the overall severity of the dysfunction is determined more accurately; thus, the accuracy of evaluating the muscle state of patients with pelvic floor dysfunction according to the overall severity of the dysfunction is higher.

Description

Technical Field

[0001] The present invention relates to the technical field of electromyogram signal analysis, and particularly to a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyogram signals. Background Art

[0002] Pelvic Floor Dysfunction (PFD) is a common health problem, mainly including urinary incontinence, pelvic organ prolapse, defecation dysfunction, etc. These symptoms seriously affect the quality of life of patients, especially female patients. It is statistically shown that about 25%-50% of women globally are troubled by pelvic floor dysfunction to varying degrees, and the incidence rate increases significantly with age. Surface Electromyography (sEMG) is a non-invasive technique for recording muscle electrical activity through skin surface electrodes. Due to its advantages such as non-invasiveness, real-time, and dynamic monitoring, sEMG has been widely used in fields such as muscle function assessment, rehabilitation training, and sports analysis. In the research of pelvic floor dysfunction, sEMG technology can be used to evaluate the contraction ability, fatigue degree, and coordination of pelvic floor muscles.

[0003] The prior art usually evaluates the muscle state of patients with pelvic floor dysfunction based on the relatively low amplitude of the electromyogram signals of these patients; however, a muscle consists of multiple muscle fiber bundles, and when evaluating the state of the muscle, the muscle fiber bundles at different positions may have different lengths, thicknesses, and arrangement directions; and the current passing through is continuous, and the range of muscle groups that can be affected under different current intensities is different. At this time, during the movement of the target muscle group towards the other electrode, there will be a certain increase in the path according to the shape of the muscle group, resulting in a decrease in the amplitude of the monitored electromyogram signal, but its response to the current is relatively fast. In fact, for patients with pelvic floor dysfunction, their electromyogram signals are not only affected by the shape of the above-mentioned muscle group, but their own muscle groups are also relatively insensitive to the response of the current, so there is also a decrease in the amplitude of their electromyogram signals. These two situations are likely to be confused under the same current intensity, resulting in errors in the evaluation of the patient's muscle state. At the same time, since the response of the muscle group to the current will also have a certain impact under different current intensities, the severity of muscle dysfunction obtained by the above method under the electrical stimulation of any current intensity will also change to a certain extent according to the change of the current intensity. Therefore, the performance of the muscle for dysfunction also has differences under different current intensities. Therefore, the accuracy of the prior art in evaluating the muscle state of patients with pelvic floor dysfunction only based on the amplitude of surface electromyogram signals is relatively low. Summary of the Invention

[0004] In order to solve the problem that the existing technology has a low accuracy in evaluating the muscle state of patients with pelvic floor dysfunction only based on the amplitude of surface electromyogram signals, the purpose of this application is to provide a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyogram signals. The specific technical solutions are as follows:

[0005] In the first aspect of this application, a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyogram signals is provided, including:

[0006] Collect the surface electromyogram signals of the pelvic floor muscles of the patient corresponding to each application of electrical stimulation at each current intensity of the electro-ultrasound therapeutic instrument;

[0007] At each current intensity, determine the severity of pelvic floor muscle dysfunction in the patient according to the signal response delay, muscle contraction delay, and amplitude change of the corresponding surface electromyogram signals after successive applications of electrical stimulation;

[0008] In the order of the current intensity arranged in ascending order, determine the overall severity of dysfunction according to the change of the severity of dysfunction with the current intensity and the convergence of the amplitude change of the surface electromyogram signal;

[0009] Evaluate the muscle state of patients with pelvic floor dysfunction according to the overall severity of the dysfunction.

[0010] Furthermore, the process of obtaining the severity of dysfunction includes:

[0011] In the surface electromyogram signals corresponding to each application of electrical stimulation at each current intensity, determine the starting moment of signal increase where the signal slope is first greater than 0 and the signal reference response moment when the signal maximum value is first obtained;

[0012] Successively determine the muscle response sensitivity corresponding to each application of electrical stimulation according to the distribution of the time intervals between the initial moment of applying electrical stimulation, the starting moment of signal increase, and the signal reference response moment;

[0013] Take the signal value at the signal reference response moment corresponding to each application of electrical stimulation as the corresponding signal response value; take the difference between the signal response value and the signal response value corresponding to the next application of electrical stimulation as the reference response difference value corresponding to each application of electrical stimulation; take the difference between the muscle response sensitivity corresponding to each application of electrical stimulation and the muscle response sensitivity corresponding to the next application of electrical stimulation as the response sensitivity difference value corresponding to each application of electrical stimulation;

[0014] Determine the instantaneous severity of dysfunction corresponding to each application of electrical stimulation according to the reference response difference value and the response sensitivity difference value;

[0015] Determine the severity of dysfunction at each current intensity based on the product of the cumulative value of the instantaneous severity of the obstacle corresponding to all applications of the electrical stimulus, the mean value of the signal response value, and the mean value of the muscle response sensitivity.

[0016] Further, the process of obtaining the muscle response sensitivity includes:

[0017] Take the time interval between the starting moment of signal increase and the initial moment of the applied electrical stimulus as the signal response time interval; take the time interval between the starting moment of signal increase and the signal reference response moment as the muscle contraction time interval.

[0018] Perform a negative correlation mapping on the product between the signal response time interval and the muscle contraction time interval to determine the corresponding muscle response sensitivity.

[0019] Further, the process of obtaining the instantaneous severity of the obstacle includes:

[0020] Determine the instantaneous severity of the obstacle corresponding to each application of the electrical stimulus based on the product between the reference response difference value and the response sensitivity difference value.

[0021] Further, the process of obtaining the overall severity of the dysfunction includes:

[0022] Take the mean value of the amplitudes of all peak points in the surface electromyogram signals of the patient's pelvic floor muscles corresponding to all applications of the electrical stimulus at each current intensity as the peak characteristic value corresponding to each current intensity; determine the significance of muscle group response according to the overall convergence trend of the peak characteristic values during the process of increasing the current intensity from small to large.

[0023] Determine the first severity of the dysfunction according to the weakening situation of the attenuation trend of the severity of the dysfunction in the order of increasing current intensity.

[0024] Determine the second severity of the dysfunction according to the mean value of the severity of the dysfunction at all current intensities.

[0025] Determine the overall severity of the dysfunction according to the significance of muscle group response, the first severity of the dysfunction, and the second severity of the dysfunction.

[0026] Further, the process of obtaining the significance of muscle group response includes:

[0027] Take the current intensity as the horizontal axis and the peak characteristic value as the vertical axis, and construct a current intensity peak characteristic curve according to the peak characteristic values corresponding to all current intensities; on the current intensity peak characteristic curve, take the current intensity at which the slope is first 0 as the significance of muscle group response.

[0028] Further, the process of obtaining the severity of the first dysfunction includes:

[0029] In the order of increasing current intensity, the difference between the severity of dysfunction at each current intensity and the severity of dysfunction at the next current intensity is taken as the severity attenuation value of each current intensity; negative correlation mapping is performed according to the mean value of the non-zero severity attenuation values among all current intensities to determine the severity of the first dysfunction.

[0030] Further, the process of determining the overall severity of dysfunction according to the muscle group response significance, the severity of the first dysfunction, and the severity of the second dysfunction includes:

[0031] The overall severity of dysfunction is determined according to the product of the negative correlation mapping value of the muscle group response significance, the severity of the first dysfunction, and the severity of the second dysfunction.

[0032] Further, the process of evaluating the muscle state of patients with pelvic floor dysfunction according to the overall severity of dysfunction includes:

[0033] Cluster analysis is performed on the overall severity of dysfunction of all patients through a clustering algorithm to obtain at least two clusters of the overall severity of dysfunction;

[0034] All patients corresponding to the cluster with the maximum overall severity of dysfunction are evaluated as patients with pelvic floor dysfunction with the worst muscle state.

[0035] Further, the clustering algorithm adopts the k-means clustering algorithm.

[0036] In a second aspect, the present application provides a system for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyogram signals, and the system includes:

[0037] A data acquisition module for acquiring surface electromyogram signals of the pelvic floor muscles of patients corresponding to each application of electrical stimulation at each current intensity of an electro-ultrasound therapeutic apparatus;

[0038] A first determination module for determining the severity of dysfunction of the pelvic floor muscles of patients at each current intensity according to the signal response delay, muscle contraction delay, and amplitude change of the corresponding surface electromyogram signals after successive applications of electrical stimulation;

[0039] A second determination module for determining the overall severity of dysfunction according to the change in the severity of dysfunction of the current intensity and the convergence of the amplitude change of the surface electromyogram signal in the order of increasing current intensity;

[0040] A muscle state evaluation module for evaluating the muscle state of patients with pelvic floor dysfunction according to the overall severity of the dysfunction.

[0041] In a third aspect, the present application provides a computer device, including a memory and a processor. The memory is used to store computer program code, and the processor is used to call and run the computer program code from the memory to execute the method according to the first aspect or any embodiment of the first aspect of the present application.

[0042] In a fourth aspect, the present application provides a computer program product, which includes computer program code. When the computer program code is executed, it is used to execute the method according to the first aspect or any embodiment of the first aspect of the present application.

[0043] In a fifth aspect, the present application provides a computer-readable storage medium, which stores computer program code. When the computer program code is executed, it is used to execute the method according to the first aspect or any embodiment of the first aspect of the present application.

[0044] The present application has the following beneficial effects:

[0045] By analyzing the response time of the electromyogram signal at the same current intensity, and combining the changes in the maximum value of the electromyogram signal and the response time under multiple consecutive electrical stimulations, the severity of the patient's muscle dysfunction at the current current intensity is analyzed. This operation distinguishes the influence of the similar muscle common manifestations between normal muscles and the muscles of patients with dysfunction on the accuracy of muscle state evaluation, and at the same time avoids the differences in the manifestations of muscles for dysfunction at different current intensities, so as to obtain the overall functional state severity of the target muscle group of the current patient, improving the accuracy of muscle state evaluation. By using the method of controlling variables in the order of the current intensity arranged according to size, based on the characteristic that the muscle group has the largest contraction amplitude, the changes in the maximum value of the electromyogram signal and the changes in the severity of dysfunction between different current intensities are obtained, so as to obtain the overall severity of the dysfunction of the current patient. This operation avoids the differences in the manifestations of muscles for dysfunction at different current intensities, improves the accuracy of muscle state evaluation, that is, the accuracy of evaluating the muscle state of patients with pelvic floor dysfunction according to the overall severity of the dysfunction is higher. Description of the Drawings

[0046] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0047] Figure 1 A flowchart of a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyography signals provided by an embodiment of the present invention;

[0048] Figure 2 A structural diagram of a system for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyography signals provided by an embodiment of the present invention;

[0049] Figure 3 A schematic structural diagram of a computer device provided by an embodiment of the present invention. Detailed implementation manners

[0050] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyography signals proposed by the present invention, including its specific implementation manners, structures, features, and effects. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0052] The following specifically describes in conjunction with the accompanying drawings the specific solution of a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyography signals provided by the present invention.

[0053] An embodiment of the present application provides a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyography signals. Please refer to Figure 1 , which shows a flowchart of a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyography signals provided by an embodiment of the present invention. The method includes:

[0054] Step S101: Collect the surface electromyography signals of the pelvic floor muscles of the patient corresponding to each application of electrical stimulation at each current intensity of the electro-ultrasound therapeutic instrument.

[0055] The electro - ultrasonic therapeutic apparatus is an electronic medical device that combines the principles of electrotherapy and ultrasonic therapy to provide patients with a comprehensive physical therapy solution. This device utilizes the physical properties and biological effects of ultrasonic waves. Through a transducer, electrical energy is converted into mechanical energy, thereby generating high - frequency vibrations. These vibrations are transmitted to human tissues through the treatment head. The working principle of the electro - ultrasonic therapeutic apparatus is based on the propagation and interaction of ultrasonic waves in human tissues. It is conducted to deep tissues through the treatment head, generating cavitation effects and changes in cell membrane permeability to promote tissue repair and regeneration. And through the contact electrodes, a controllable low - frequency pulsed current is output to the targeted treatment area, directly acting on neuromuscular tissues to trigger regular contraction responses, effectively relieving pain and enhancing local metabolism.

[0056] In the embodiment of the present invention, the skin above the target muscle is cleaned to reduce the impedance between the electrode and the skin. A contact electrode is installed at the treatment site of the patient, and different current intensities of current are given using the electro - ultrasonic therapeutic apparatus. The electromyographic signals at different positions of the patient are obtained using the contact electrode. The electromyographic signals induced by electrical stimulation are recorded, and the activation patterns and electro - activity characteristics of the muscles are analyzed. It should be noted that the collected electromyographic signals are voltage signals presented in the form of a time series, specifically manifested as voltage values that change over time. In a specific implementation manner of the embodiment of the present invention, the initial current intensity is 1 mA, and each current intensity is traversed with a step size of 1 mA until 30 mA is reached; that is, there are 30 current intensities with all integer values from 1 - 30 mA. In a specific implementation manner of the embodiment of the present invention, the moment when the electrical stimulation is applied using the electro - ultrasonic therapeutic apparatus is recorded as the reference current moment, and the time when the electromyographic signal is first collected is used as the reference signal moment; the time difference between the reference current moment and the reference signal moment is used as the signal acquisition delay duration. Thus, with the signal acquisition delay duration as the time interval, the electromyographic signals corresponding to each electrical stimulation are synchronized. That is, starting from the moment of each electrical stimulation, the acquisition of the electromyographic signal is delayed by the signal acquisition delay duration.

[0057] However, due to the differences in the responses of the target muscle group to current at different current intensities, if the muscle state of the patient is directly evaluated based on a single current intensity, it will lead to a large error in the evaluation of the muscle state by the electromyogram signal at a certain current intensity. Therefore, in this case, when evaluating the muscle state of patients with dysfunction, the method of controlling variables is used to obtain the evaluation index of the muscle state. Specifically, by setting the same number of stimulations for each current intensity, the surface electromyogram signals with time series obtained during each electrical stimulation process are collected; in a specific implementation manner of the embodiment of the present invention, the number of electrical stimulations for each current intensity is set to 10 times, which can be adjusted according to the specific implementation environment. It should be noted that in order to have enough time for the reaction of the muscle and nerve to recover, after the end of all electrical stimulation processes for each current intensity, an interval of 2 minutes is made before the electrical stimulation process of the next current intensity, and the interval duration can be adjusted by itself.

[0058] Step S102: At each current intensity, determine the severity of the dysfunction of the patient's pelvic floor muscles according to the signal response delay, muscle contraction delay, and amplitude change of the corresponding surface electromyogram signal after sequentially applying electrical stimulation.

[0059] Muscles are composed of multiple muscle fiber bundles. When evaluating the state of muscles, the muscle fiber bundles at different positions may have different lengths, thicknesses, and arrangement directions; and the passing current is continuous, and the range of muscle groups that can be affected at different current intensities is different. At this time, during the movement of the target muscle group towards the other electrode, a certain path increase will occur according to the shape of the muscle group, resulting in a decrease in the amplitude of the monitored electromyogram signal, but its response to the current is relatively fast. In fact, for patients with pelvic floor dysfunction, their electromyogram signals are not only affected by the shape of the above-mentioned muscle group, but also the sensitivity of their own muscle groups to the current response is relatively low. Therefore, the amplitude of their electromyogram signals also decreases. The above two situations are likely to be confused at the same current intensity, resulting in an error in the evaluation of the patient's muscle state; therefore, further by analyzing the influence range of different current intensities on the muscle group, the influence on the actual pathological response of the patient's muscle group is eliminated.

[0060] Considering that the muscle groups of patients with dysfunctions have a slower response time to electric current compared to the normal state, that is, the time from the start of this stimulation to the maximum contraction of the muscle groups of patients with dysfunctions is relatively long, and the time delay of muscle contraction in response to stimulation is usually relatively high; and as the electric stimulation progresses, after the muscle is stimulated continuously for multiple times, it will produce a certain degree of fatigue. At this time, the response sensitivity in each electric stimulation process will decrease, and at the same time, the magnitude of the myoelectric signal reaching the maximum value, that is, the peak value, at the current intensity will also decrease; compared with normal muscle groups, the muscle groups of patients with dysfunctions are relatively more likely to produce muscle fatigue, and the change in the signal amplitude under different electric stimulations is more obvious; therefore, in this application, according to the signal response delay, muscle contraction delay, and amplitude change of the surface myoelectric signal corresponding to the sequentially applied electric stimulations, the severity of the dysfunction of the patient's pelvic floor muscles is determined at each current intensity.

[0061] Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the severity of the dysfunction includes:

[0062] In the surface myoelectric signal corresponding to each application of electric stimulation at each current intensity, determine the signal increase start time when the signal slope is first greater than 0 and the signal reference response time when the signal maximum value is first obtained; sequentially determine the muscle response sensitivity corresponding to each application of electric stimulation according to the distribution of the time intervals between the initial time of applying the electric stimulation, the signal increase start time, and the signal reference response time. Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the muscle response sensitivity includes: taking the time interval between the signal increase start time and the initial time of the corresponding application of electric stimulation as the signal response time interval; taking the time interval between the signal increase start time and the signal reference response time as the muscle contraction time interval;

[0063] The signal increase start time represents the moment when the muscle itself responds to the electric current. The larger the signal response time interval, the slower the muscle itself responds to the electric current after being stimulated, and the more obvious the pathological manifestation of the muscle itself; the signal reference response time represents the moment when the muscle first reaches the maximum contraction under the corresponding electric stimulation. Therefore, the larger the muscle contraction time interval, the longer the time for the muscle to reach the maximum contraction, and the more obvious the pathological manifestation caused by the dysfunction; further, a negative correlation mapping is performed on the product of the signal response time interval and the muscle contraction time interval to determine the corresponding muscle response sensitivity; so that the higher the muscle response sensitivity, the smaller the dysfunction of the muscle itself; on the contrary, the lower the muscle response sensitivity, the more obvious the muscle dysfunction.

[0064] In a specific implementation manner of the embodiments of the present invention, the process of obtaining the muscle response sensitivity degree is represented by the formula: ; wherein, is the muscle response sensitivity corresponding to the th application of electrical stimulation at the th current intensity; is the signal response time interval of the surface electromyogram signal corresponding to the th application of electrical stimulation at the th current intensity; is the muscle contraction time interval of the surface electromyogram signal corresponding to the th application of electrical stimulation at the th current intensity. Considering that the value of this time parameter cannot be 0 under the objective circumstances of this application, there will be no situation where the denominator is 0. If the denominator is 0 during the specific implementation process, it indicates that the influence of noise is relatively serious, and the corresponding data should be discarded.

[0065] Furthermore, the signal value at the signal reference response moment corresponding to each application of electrical stimulation is used as the corresponding signal response value; the difference between the signal response value and the signal response value corresponding to the next application of electrical stimulation is used as the reference response difference value corresponding to each application of electrical stimulation; the difference between the muscle response sensitivity corresponding to each application of electrical stimulation and the muscle response sensitivity corresponding to the next application of electrical stimulation is used as the response sensitivity difference value corresponding to each application of electrical stimulation; according to the reference response difference value and the response sensitivity difference value, the instantaneous obstacle severity corresponding to each application of electrical stimulation is determined. Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the instantaneous obstacle severity includes: determining the instantaneous obstacle severity corresponding to each application of electrical stimulation according to the product of the reference response difference value and the response sensitivity difference value.

[0066] However, the electromyogram signals obtained from different electrical stimulations are different. Therefore, the pelvic floor muscle group is usually continuously stimulated multiple times with the same current intensity to analyze the performance of the electromyogram signals during each stimulation to evaluate the muscle state. At this time, according to the analysis, when the muscle is continuously stimulated multiple times, it will produce certain fatigue. At this time, the response sensitivity during each electrical stimulation process will decrease, and at the same time, the magnitude of the maximum value of the electromyogram signal, that is, the signal response value, at the current current intensity will also decrease. Compared with the normal muscle group, the pathological muscle group is more likely to produce fatigue. Therefore, the corresponding changes in response sensitivity and the maximum value of the electromyogram signal decrease relatively faster or more. Therefore, it can be inferred that for the muscle group, the greater the changes in response brightness and the maximum value of the electromyogram signal, that is, the greater the decrease in response sensitivity and the greater the decrease in the signal response value, the more serious the existing dysfunction. Combining the characteristics that the dysfunction itself will lead to relatively small response sensitivity and relatively small amplitude, further determine the severity of the dysfunction at each current intensity according to the product of the cumulative value of the instantaneous dysfunction severity corresponding to all electrical stimulations, the average value of the signal response values, and the average value of the muscle response sensitivities. By calculating the severity of the dysfunction and combining the fatigue phenomenon generated by the multiple work of the muscle, a comprehensive evaluation of the actual state of the muscle is carried out, avoiding the influence of the contingency generated by single sampling on the accuracy of the muscle state.

[0067] In a specific implementation manner of the embodiment of the present invention, the process of obtaining the degree of dysfunction is expressed by the formula: ; where is the severity of the dysfunction of the patient's pelvic floor muscle at the th current intensity; is the number of times of applying electrical stimulation at each current intensity; is the muscle response sensitivity of the th application of electrical stimulation at the th current intensity; is the muscle response sensitivity of the th application of electrical stimulation at the th current intensity; is the difference value of the response sensitivity corresponding to the th application of electrical stimulation at the th current intensity; is the signal response value of the th application of electrical stimulation at the th current intensity; is the signal response value of the th application of electrical stimulation at the th current intensity; is the th current intensity, and the Reference response difference value corresponding to the second application of electrical stimulation; is the mean of the muscle response sensitivities for all applications of electrical stimulation at the th current intensity; is the mean of the signal response values for all applications of electrical stimulation at the th current intensity; is the instantaneous impairment severity corresponding to the th application of electrical stimulation at the

[0068] Step S103: On the order of the current intensities arranged in magnitude, determine the overall severity of the impairment according to the change in the impairment severity of the current intensity and the convergence of the surface electromyogram signal amplitude change.

[0069] Since the response of the muscle group to the current will also have a certain impact under different current intensities, the severity of the muscle impairment under the electrical stimulation of any current intensity obtained according to the above method will also change to a certain extent with the change of the current intensity. Therefore, there are also differences in the manifestation of muscle impairment under different current intensities. To avoid the influence of the current intensity change on the actual response of the muscle, it is necessary to analyze the change of the electromyogram signal under different current intensities. According to the analysis, since the pelvic floor muscle group of the human body has its own maximum contraction amplitude, when the current intensity exceeds the maximum reception range of the muscle group, the detected electromyogram signal amplitude stops changing; that is, as the current intensity gradually increases, the extreme values of the electromyogram signals of each current intensity will converge or stabilize to a specific electromyogram signal value, that is, the electromyogram signal value when the muscle reaches the maximum contraction state. During the detection of patients with pelvic floor dysfunction based on the above method, compared with the muscles with normal functions, the amplitude of its electromyogram signal increases faster and reaches the maximum value at a relatively lower current intensity. Therefore, the smaller the current intensity when the surface electromyogram signal amplitude change converges, the earlier the electromyogram signal value when the muscle reaches the maximum contraction state appears, and the more severe the corresponding impairment is. In addition, under different current intensities, the response speed of the normal muscle group to the current changes, usually showing an increase in the response speed. At this time, there are differences in the severity of the muscle impairment obtained under different current intensities; while the response speed of patients with pelvic floor dysfunction is relatively less affected; therefore, based on the above characteristics, further on the order of the current intensities arranged in magnitude, determine the overall severity of the impairment according to the change in the impairment severity of the current intensity and the convergence of the surface electromyogram signal amplitude change.

[0070] Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the overall severity of the dysfunction includes:

[0071] Taking the mean value of the amplitudes of all peak points in the surface electromyogram signals of the patient's pelvic floor muscles corresponding to all the times of applying electrical stimulation at each current intensity as the peak characteristic value corresponding to each current intensity; determining the muscle group response significance according to the overall convergence trend of the peak characteristic values during the process of the current intensity changing from small to large. Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the muscle group response significance includes: taking the current intensity as the horizontal axis and the peak characteristic value as the vertical axis, and constructing a current intensity - peak characteristic curve according to the peak characteristic values corresponding to all current intensities; on the current intensity - peak characteristic curve, taking the current intensity at which the slope is first 0 as the muscle group response significance. Since the earlier the myoelectric signal value at the muscle reaches the maximum contraction state appears, the more severe the corresponding dysfunction is; and the current intensity at which the slope is first 0 usually represents the current intensity corresponding to reaching convergence or stability, which conforms to the characteristics when the muscle reaches the maximum contraction state. Therefore, the smaller the current intensity at which the slope is first 0, that is, the smaller the muscle group response significance, the more severe the corresponding pelvic floor dysfunction is.

[0072] Determining the first dysfunction severity according to the weakening situation of the attenuation trend of the dysfunction severity in the order of the current intensity from small to large. Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the first dysfunction severity includes:

[0073] In the order of the current intensity from small to large, taking the difference between the dysfunction severity at each current intensity and the dysfunction severity at the next current intensity as the severity attenuation value of each current intensity; determining the first dysfunction severity by performing a negative - correlation mapping according to the mean value of the non - zero severity attenuation values of all current intensities. Determining the second dysfunction severity according to the mean value of the dysfunction severities of all current intensities.

[0074] First, for both normal muscle groups and dysfunctional muscle groups, the corresponding severity of dysfunction shows a decreasing trend as the current increases. However, the reason for the decrease in the severity of dysfunction is the increase in the response speed. For patients with pelvic floor dysfunction, as the current intensity increases, their response speed usually does not change significantly. That is, for patients with pelvic floor dysfunction, the severity of dysfunction decreases relatively slowly as the current intensity increases, and the overall value of the severity of dysfunction in patients with pelvic floor dysfunction is relatively large. Therefore, the greater the severity of the first dysfunction and the smaller the severity of the second dysfunction, the more severe the overall dysfunction of the corresponding patient. On this basis, combined with the characteristic that the smaller the muscle group response significance, the more severe the corresponding pelvic floor dysfunction, finally, based on the muscle group response significance, the severity of the first dysfunction, and the severity of the second dysfunction, the overall severity of dysfunction is determined. Preferably, in some possible implementation manners of the embodiments of the present invention, the process of determining the overall severity of dysfunction based on the muscle group response significance, the severity of the first dysfunction, and the severity of the second dysfunction includes: determining the overall severity of dysfunction based on the negative correlation mapping value of the muscle group response significance and the product between the severity of the first dysfunction and the severity of the second dysfunction. Through the calculation of the overall severity of dysfunction, the influence of the differences in the manifestation of muscle dysfunction under different current intensities is avoided, and the accuracy of muscle state assessment is improved.

[0075] In a specific implementation manner of the embodiments of the present invention, the process of obtaining the overall severity of dysfunction is expressed by the formula: ; where is the overall severity of dysfunction; is the muscle group response significance, that is, the magnitude of the current intensity at which the slope first becomes 0 on the current intensity peak characteristic curve; is the number of current intensities with a non-zero severity attenuation value. Here, the non-zero severity attenuation value is used for calculation because as the current increases, when the muscle reaches the maximum contraction state, the subsequent severity of dysfunction usually does not change. If calculated and analyzed in combination with 0, it will affect the accuracy of the calculation result to a certain extent; is the th severity attenuation value of the current intensity with a non-zero severity attenuation value, and the severity attenuation value of the last current intensity is defaulted to 0; is the severity of the first dysfunction; is the average value of the severity of dysfunction at all current intensities, that is, the severity of the second dysfunction; is the exponential function with the natural constant as the base. It should be noted that under normal circumstances, It usually does not take the value of 0. When the value is 0 during the implementation process, it indicates that it is affected by relatively large noise, and the corresponding data needs to be discarded.

[0076] Step S104: Evaluate the muscle state of patients with pelvic floor dysfunction according to the overall severity of the dysfunction.

[0077] Furthermore, according to the obtaining process of the overall severity of the dysfunction, calculate the overall severity of the dysfunction for each patient with pelvic floor dysfunction; substantially, the obtained overall severity of the dysfunction is the evaluation result of the muscle state of the patient with pelvic floor dysfunction. In some possible implementation manners of the embodiments of the present invention, the overall severity of the dysfunction for each patient with pelvic floor dysfunction can be directly linearly normalized to determine the corresponding muscle state evaluation value. In addition, preferably, in some possible implementation manners of the embodiments of the present invention, the process of evaluating the muscle state of patients with pelvic floor dysfunction according to the overall severity of the dysfunction includes:

[0078] Perform cluster analysis on the overall severity of the dysfunction of all patients through a clustering algorithm to obtain at least two clusters of the overall severity of the dysfunction; in a specific implementation manner of the embodiments of the present invention, the clustering algorithm adopts the k-means clustering algorithm, and the value of k is 3, which can be adjusted by itself. Evaluate all patients corresponding to the cluster with the largest overall severity of the dysfunction as patients with pelvic floor dysfunction with the worst muscle state. That is, screen out patients with pelvic floor dysfunction with the worst muscle state through the clustering method, and evaluate the group of patients with the worst pelvic floor dysfunction state. It should be noted that the k-means clustering algorithm is a well-known technical means to those skilled in the art and will not be further described here.

[0079] In summary, a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyogram signals proposed in this application first analyzes the severity of the dysfunction by combining the electromyogram signals according to the characteristics that the muscles of patients with pelvic floor dysfunction are less sensitive to the response of current and are prone to fatigue; then, based on the characteristics that the threshold for the muscles of patients with pelvic floor dysfunction to reach the maximum contraction degree during the process of increasing the current intensity is lower, the signal amplitude of the muscles themselves is lower, and the severity of the dysfunction is higher, determine a more accurate overall severity of the dysfunction; thus, the accuracy of evaluating the muscle state of patients with pelvic floor dysfunction according to the overall severity of the dysfunction is higher.

[0080] This application also provides a system for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyogram signals. Please refer to Figure 2, which shows the structural diagram of a muscle state evaluation system for patients with pelvic floor dysfunction based on surface electromyogram signals provided by an embodiment of the present invention. The system includes: a data acquisition module 201, a first determination module 202, a second determination module 203, and a muscle state evaluation module 204.

[0081] The data acquisition module 201 is configured to acquire the surface electromyogram signals of the pelvic floor muscles of the patient corresponding to each application of electrical stimulation at each current intensity of the electro-ultrasound therapeutic apparatus.

[0082] The first determination module 202 is configured to determine the severity of pelvic floor muscle dysfunction of the patient at each current intensity according to the signal response delay, muscle contraction delay, and amplitude change of the corresponding surface electromyogram signals after successive applications of electrical stimulation.

[0083] The second determination module 203 is configured to determine the overall severity of the dysfunction according to the change in the severity of the dysfunction at different current intensities and the convergence of the amplitude change of the surface electromyogram signals in the order of the current intensities arranged in ascending or descending order.

[0084] The muscle state evaluation module 204 is configured to evaluate the muscle state of patients with pelvic floor dysfunction according to the overall severity of the dysfunction.

[0085] It should be noted that for the system provided in the above embodiment, only the above division of each functional module is used as an example for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, a muscle state evaluation system for patients with pelvic floor dysfunction based on surface electromyogram signals provided in the above embodiment and an embodiment of a muscle state evaluation method for patients with pelvic floor dysfunction based on surface electromyogram signals belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0086] An embodiment of the present application further provides a computer device. Please refer to Figure 3 , which shows the structural schematic diagram of a computer device provided by an embodiment of the present invention. The computer device includes a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302. When the processor 302 executes the computer program 303, the computer device can execute any one of the above-described muscle state evaluation methods for patients with pelvic floor dysfunction based on surface electromyogram signals.

[0087] The embodiment of the present application also provides a computer program product. When the computer program product runs on a computer device, the computer device can execute any one of the muscle state evaluation methods for patients with pelvic floor dysfunction based on surface electromyogram signals introduced above.

[0088] The embodiment of the present application also provides a computer-readable storage medium. Computer program code is stored in the computer-readable storage medium. When the computer program code runs on a computer device, the computer device can execute any one of the muscle state evaluation methods for patients with pelvic floor dysfunction based on surface electromyogram signals introduced above.

[0089] In the embodiments provided in the present application, it should be understood that the provided computer device, computer program product, and computer-readable storage medium are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the methods provided above, and will not be elaborated here.

[0090] It should be noted that the above sequence of the embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals, characterized in that: The method comprises: Collect the surface electromyographic signals of the patient's pelvic floor muscles corresponding to each electrical stimulation applied by the electro-ultrasonic therapeutic device at each current intensity; At each current intensity, the severity of the patient's pelvic floor muscle dysfunction at each current intensity was determined based on the signal response delay, muscle contraction delay, and amplitude change of the corresponding surface electromyographic signal after the electrical stimulation was applied in sequence; In the order of the current intensity, the overall severity of the dysfunction is determined based on the change in the severity of the dysfunction of the current intensity and the convergence of the change in the amplitude of the surface electromyographic signal; Assessment of muscle status in patients with pelvic floor dysfunction based on the overall severity of the dysfunction; The process of obtaining the overall severity of the functional impairment includes: The mean of all peak amplitudes of the surface electromyographic signals of the patient's pelvic floor muscles corresponding to all electrical stimulations applied at each current intensity is taken as the peak characteristic value corresponding to each current intensity; the significance of the muscle group response is determined based on the overall convergence trend of the peak characteristic value during the process of the current intensity changing from small to large; In the order of the current intensity from small to large, the first functional disorder severity is determined according to the weakening of the attenuation trend of the functional disorder severity; Determine the second dysfunction severity based on the mean of the dysfunction severity of all current intensities; The overall severity of the dysfunction is determined based on the muscle group response significance, the first dysfunction severity and the second dysfunction severity.

2. A method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals according to claim 1, characterized in that: The process of obtaining the severity of the functional impairment includes: In the surface electromyographic signal corresponding to each electrical stimulation under each current intensity, determine the signal increase starting time when the signal slope is greater than 0 for the first time and the signal reference response time when the signal maximum value is first obtained; Determining the muscle response sensitivity corresponding to each application of electrical stimulation according to the distribution of the time interval between the initial moment of applying electrical stimulation, the start moment of the signal increase and the signal reference response moment; The signal value at the signal reference response moment corresponding to each application of electrical stimulation is used as the corresponding signal response value; the difference between the signal response value and the signal response value corresponding to the next application of electrical stimulation is used as the reference response difference value corresponding to each application of electrical stimulation; the difference between the muscle response sensitivity corresponding to each application of electrical stimulation and the muscle response sensitivity corresponding to the next application of electrical stimulation is used as the response sensitivity difference value corresponding to each application of electrical stimulation; Determining the severity of the instantaneous disorder corresponding to each application of electrical stimulation according to the reference response difference value and the response sensitivity difference value; The severity of functional impairment at each current intensity is determined based on the product of the cumulative value of the instantaneous impairment severity corresponding to all electrical stimulations, the mean of the signal response value, and the mean of the muscle response sensitivity.

3. A method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals according to claim 2, characterized in that: The process of obtaining the muscle response sensitivity includes: The time interval between the start time of signal increase and the corresponding initial time of applying electrical stimulation is used as the signal response time interval; the time interval between the start time of signal increase and the signal reference response time is used as the muscle contraction time interval; The product of the signal response time interval and the muscle contraction time interval is negatively correlated to determine the corresponding muscle response sensitivity.

4. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals according to claim 2, characterized in that: The process of obtaining the instantaneous obstacle severity includes: The instantaneous disorder severity corresponding to each application of electrical stimulation is determined according to the product of the reference response difference value and the response sensitivity difference value.

5. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals according to claim 1, characterized in that: The process of obtaining the muscle group response significance includes: With current intensity as the horizontal axis and peak characteristic value as the vertical axis, a current intensity peak characteristic curve is constructed according to the peak characteristic values ​​corresponding to all current intensities; on the current intensity peak characteristic curve, the current intensity with a slope of 0 that appears for the first time is taken as the significance of the muscle group response.

6. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals according to claim 1, characterized in that: The process of obtaining the severity of the first functional impairment includes: In the order of current intensity from small to large, the difference between the severity of the dysfunction under each current intensity and the severity of the dysfunction under the next current intensity is used as the severity attenuation value of each current intensity; negative correlation mapping is performed based on the mean of the non-zero severity attenuation values ​​of all current intensities to determine the first dysfunction severity.

7. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals according to claim 1, characterized in that: The process of determining the overall severity of the functional impairment according to the muscle group response significance, the first functional impairment severity and the second functional impairment severity comprises: The overall severity of the dysfunction is determined based on the product of the negative correlation map value of the muscle group response significance, the first dysfunction severity and the second dysfunction severity.

8. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals according to claim 1, characterized in that: The process of evaluating the muscle status of a patient with pelvic floor dysfunction according to the overall severity of the dysfunction includes: The overall severity of functional impairment of all patients was clustered by clustering algorithm to obtain at least two clusters of overall severity of functional impairment; All patients corresponding to the cluster with the greatest overall severity of dysfunction were assessed as patients with pelvic floor dysfunction with the worst muscle status.

9. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals according to claim 8, characterized in that: The clustering algorithm adopts the k-means clustering algorithm.

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