Surface electromyogram signal-based muscle state evaluation method for patient with pelvic floor dysfunction

Abstract

The invention relates to the technical field of electromyographic signal analysis, in particular to a pelvic floor dysfunction patient muscle state evaluation method based on surface electromyographic signals, which comprises the following steps: firstly, according to the characteristics that the muscle of a pelvic floor dysfunction patient is low in sensitivity to current response and easy to fatigue, the severity of dysfunction is analyzed in combination with the electromyographic signals; based on the characteristics that the threshold value of the muscle of the patient with the pelvic floor dysfunction reaching the maximum contraction degree in the current intensity increasing process is low, the signal amplitude of the muscle is low, and the severity of the dysfunction is high, the more accurate overall severity of the dysfunction is determined; the accuracy of evaluating the muscle state of the patient with the 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 electromyographic signal analysis, and in particular to a method for evaluating the muscle state of patients with pelvic floor dysfunction based on surface electromyographic 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. According to statistics, about 25%-50% of women worldwide suffer from pelvic floor dysfunction to varying degrees, and the incidence rate increases significantly with age. Surface electromyography (sEMG) is a non-invasive technology that records muscle electrical activity through electrodes on the surface of the skin. Due to its advantages of non-invasive, real-time, and dynamic monitoring, sEMG has been widely used in muscle function assessment, rehabilitation training, and motion analysis. In the study of pelvic floor dysfunction, sEMG technology can be used to evaluate the contraction ability, fatigue level, and coordination of the pelvic floor muscles.

[0003] The existing technology usually evaluates the muscle status of patients with pelvic floor dysfunction based on the relatively low amplitude of the electromyographic signal of patients with pelvic floor dysfunction; however, muscles are composed of multiple muscle fiber bundles. When evaluating the status of muscles, 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, when the target muscle group moves to the electrode on the other side, a certain path increase will occur according to the morphology of the muscle group, resulting in a decrease in the amplitude of the monitored electromyographic signal, but its response to the current is relatively fast. In fact, for patients with pelvic floor dysfunction, their own electromyographic signals will not only be affected by the above-mentioned muscle group morphology, but their own muscle groups themselves are less sensitive to the response of the current, so their electromyographic signals themselves also have a decrease in amplitude. The above two situations are prone to confusion under the same current intensity, resulting in errors in the evaluation of the patient's muscle status. At the same time, because the response of muscle groups to electric current will also be affected to a certain extent under different current intensities, the severity of muscle dysfunction under electrical stimulation of any current intensity obtained by the above method will also change to a certain extent according to the change of current intensity, so the performance of muscle dysfunction under different current intensities is also different. Therefore, the existing technology of assessing the muscle status of patients with pelvic floor dysfunction based only on the amplitude of the surface electromyography signal is low in accuracy. Summary of the invention

[0004] In order to solve the problem that the existing technology only uses the amplitude of surface electromyography signals to evaluate the muscle status of patients with pelvic floor dysfunction, which is of low accuracy, the present application aims to provide a method for evaluating the muscle status of patients with pelvic floor dysfunction based on surface electromyography signals. The technical solution adopted is as follows: The first aspect of the present application provides a method for assessing the muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals, comprising: 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; The muscle status of patients with pelvic floor dysfunction was assessed according to the overall severity of the dysfunction.

[0005] Furthermore, 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.

[0006] Furthermore, the process of acquiring 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.

[0007] Furthermore, 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.

[0008] Furthermore, 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.

[0009] Furthermore, 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.

[0010] Furthermore, the process of obtaining the severity of the first functional disorder 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.

[0011] Further, the process of determining the overall severity of the dysfunction according to the muscle group response significance, the first dysfunction severity and the second dysfunction 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.

[0012] Furthermore, the process of evaluating the muscle status of patients with pelvic floor dysfunction according to the overall severity of the dysfunction includes: Cluster analysis of the overall severity of functional impairment of all patients was performed using a 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.

[0013] Furthermore, the clustering algorithm adopts a k-means clustering algorithm.

[0014] In a second aspect, the present application provides a system for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals, the system comprising: A data acquisition module, used for acquiring 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; The first determination module is used to determine the severity of the 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 electromyographic signal after the electrical stimulation is applied in sequence at each current intensity; The second determination module is used to determine the overall severity of the functional disorder according to the change of the severity of the functional disorder of the current intensity and the convergence of the change of the amplitude of the surface electromyography signal in the order of the current intensity arranged in magnitude; The muscle status assessment module is used to assess the muscle status of patients with pelvic floor dysfunction according to the overall severity of the dysfunction.

[0015] In a third aspect, the present application provides a computer device, comprising 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 of the first aspect of the present application or any embodiment of the first aspect.

[0016] In a fourth aspect, the present application provides a computer program product, comprising a computer program code, which, when executed, performs the method of the first aspect of the present application or any embodiment of the first aspect.

[0017] In a fifth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program code. When the computer program code is executed, the method of the first aspect or any embodiment of the first aspect of the present application is performed.

[0018] This application has the following beneficial effects: By analyzing the response time of the electromyographic signal under the same current intensity, combined with the change of the maximum value of the electromyographic signal and the change of the response time under multiple continuous electrical stimulations, the severity of the patient's muscle dysfunction under the current current intensity is analyzed. This operation distinguishes the influence of similar common muscle performance between normal muscles and dysfunctional patients' muscles on the accuracy of muscle state assessment, and avoids the difference in the performance of muscles for dysfunction under different current intensities, thereby obtaining the overall functional state severity of the target muscle group of the current patient and improving the accuracy of muscle state assessment. Through the control variable method, based on the order of current intensity arranged according to size, based on the characteristics of muscle groups with the maximum contraction amplitude, the change of the maximum value of the electromyographic signal and the difference in the change of the severity of dysfunction between different current intensities are obtained, thereby obtaining the overall severity of the current patient's dysfunction. This operation avoids the difference in the performance of muscles for dysfunction under different current intensities, and improves the accuracy of muscle state assessment, that is, the accuracy of muscle state assessment of patients with pelvic floor dysfunction based on the overall severity of dysfunction is higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A flow chart of a method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals provided by one embodiment of the present invention; Figure 2 A structural diagram of a pelvic floor dysfunction patient muscle status assessment system based on surface electromyography signals provided by one embodiment of the present invention; Figure 3 A schematic diagram of the structure of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the muscle state assessment method for patients with pelvic floor dysfunction based on surface electromyography signals proposed by the present invention, its specific implementation method, structure, characteristics and effects are described as follows in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment, and the specific features, structures or characteristics in one or more embodiments may be combined in any suitable form. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0022] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0023] The following is a detailed description of a method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals provided by the present invention in conjunction with the accompanying drawings.

[0024] The present application embodiment provides a method for evaluating the muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals. Figure 1 , which shows a flow chart of a method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyography signals provided by an embodiment of the present invention, the method comprising: Step S101: collecting surface electromyographic signals of the patient's pelvic floor muscles corresponding to each electrical stimulation applied by the electro-ultrasonic therapeutic apparatus at each current intensity.

[0025] The electro-ultrasonic therapeutic device is an electronic medical device that combines the principles of electrotherapy and ultrasound therapy to provide patients with a comprehensive physical therapy program. The device uses the physical properties and biological effects of ultrasound to convert electrical energy into mechanical energy through a transducer, thereby generating high-frequency vibrations, which are transmitted to human tissues through the treatment head. The working principle of the electro-ultrasonic therapeutic device is based on the propagation and interaction of ultrasound in human tissues. It is transmitted to deep tissues through the treatment head, producing cavitation effects and changes in cell membrane permeability, promoting tissue repair and regeneration; and outputs adjustable low-frequency pulse currents to the targeted treatment area through contact electrodes, directly acting on neuromuscular tissues, triggering regular contraction reactions, effectively relieving pain and enhancing local metabolism.

[0026] In an embodiment of the present invention, the skin above the target muscle is cleaned to reduce the impedance between the electrode and the skin, and a contact electrode is installed at the patient's treated area, and an electric ultrasonic therapeutic device is used to give currents of different current intensities, and the contact electrode is used to obtain the electromyographic signals of different positions of the patient. The electromyographic signals induced by electrical stimulation are recorded, and the activation mode and electrical activity characteristics of the muscles are analyzed. It should be noted that the collected electromyographic signals are voltage signals presented in the form of time series, which are specifically manifested as voltage values ​​that change over time. In a specific implementation of an embodiment of the present invention, 1mA is used as the initial current intensity, and each current intensity is traversed with a step length of 1mA until 30mA is reached; that is, 30 current intensities with all integer values ​​in 1-30mA. In a specific implementation of an embodiment of the present invention, the moment when the electric stimulation is applied by the electroultrasonic therapeutic device 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 collection delay duration; thereby, the electromyographic signal corresponding to each electric stimulation is synchronized with the signal collection delay duration as the time interval, that is, starting from the moment of each electric stimulation, the electromyographic signal is collected by delaying the signal collection delay duration backward.

[0027] However, due to the differences in the response of the target muscle groups to the current under different current intensities, if the patient's muscle state is evaluated directly based on a single current intensity, it will lead to a large error in the evaluation of the muscle state based on the electromyographic signal under a certain current intensity. Therefore, in this case, when evaluating the muscle state of patients with functional disorders, the control variable method is used to obtain the evaluation index of the muscle state. Specifically, by setting each current intensity to stimulate the same number of times, the surface electromyographic signal with a time sequence obtained during each electrical stimulation process is collected; in a specific implementation of an 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 muscles and nerves to recover, after all electrical stimulation processes of each current intensity are completed, the electrical stimulation process of the next current intensity will be carried out after an interval of 2 minutes, and the interval time can be adjusted by the user.

[0028] Step S102: Under each current intensity, the severity of the pelvic floor muscle dysfunction of the patient under each current intensity is determined according to the signal response delay, muscle contraction delay and amplitude change of the corresponding surface electromyographic signal after the electrical stimulation is applied in sequence.

[0029] Muscles are composed of multiple muscle fiber bundles. When evaluating the state of muscles, muscle fiber bundles at different positions may have different lengths, thicknesses, and arrangement directions. 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, when the target muscle group moves to the electrode on the other side, a certain path increase will occur according to the morphology of the muscle group, resulting in a decrease in the amplitude of the monitored electromyographic signal, but its response to the current is relatively fast. In fact, for patients with pelvic floor dysfunction, their own electromyographic signals will not only be affected by the morphology of the above-mentioned muscle groups, but their own muscle groups themselves are less sensitive to the response of current, so their electromyographic signals themselves also have a decrease in amplitude. The above two situations are prone to confusion under the same current intensity, resulting in errors in the evaluation of the patient's muscle state; therefore, by further analyzing the range of influence of different current intensities on muscle groups, the influence of different current intensities on the actual pathological response of the patient's muscle groups can be eliminated.

[0030] Taking into account that the response time of the muscle groups of patients with dysfunction to electric current is slower than that in normal state, that is, the time from the start of stimulation to the maximum contraction of the muscle groups of patients with dysfunction is relatively long, and the time delay for the muscle to contract in response to stimulation is usually relatively high; and as the electrical stimulation proceeds, the muscle will produce a certain degree of fatigue after repeated stimulation. At this time, the response sensitivity during each electrical stimulation process will decrease, and at the same time, the maximum value of the electromyographic signal, that is, the peak value, at the current current intensity will also decrease; compared with normal muscle groups, the muscle groups of patients with dysfunction are relatively more prone to muscle fatigue, and the corresponding signal amplitude changes under different electrical stimulations are more obvious; therefore, this application determines the severity of the patient's pelvic floor muscle dysfunction at each current intensity based on the signal response delay, muscle contraction delay and amplitude change of the corresponding surface electromyographic signal after the electrical stimulation is applied in sequence.

[0031] Preferably, in some possible implementations of the embodiments of the present invention, 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 start 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; determine the muscle response sensitivity corresponding to each electrical stimulation according to the distribution of the time intervals between the initial time of applying the electrical stimulation, the signal increase start time and the signal reference response time. Preferably, in some possible implementation methods 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 corresponding initial time of applying the electrical 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; The starting time of signal increase represents the time when the muscle itself responds to the electric current. The longer the signal response time interval is, the slower the muscle responds to the electric current after being electrically stimulated, and the more obvious the pathological manifestation of the muscle itself is. The signal reference response time represents the time when the muscle first reaches the maximum contraction under the corresponding electrical stimulation. Therefore, the longer the muscle contraction time interval is, the longer the muscle takes to reach the maximum contraction, and the more obvious the pathological manifestation caused by the corresponding dysfunction is. The product of the signal response time interval and the muscle contraction time interval is further negatively correlated to determine the corresponding muscle response sensitivity. The higher the muscle response sensitivity is, the smaller the dysfunction of the muscle itself is. Conversely, the lower the muscle response sensitivity is, the more obvious the muscle dysfunction is.

[0032] In a specific implementation of the embodiment of the present invention, the process of obtaining the muscle response sensitivity is expressed by the formula: ;in, For the The current intensity The sensitivity of muscle response corresponding to the electrical stimulation applied each time; For the The current intensity The signal response time interval of the surface electromyographic signal corresponding to the electrical stimulation applied once; For the The current intensity The muscle contraction time interval of the surface electromyographic signal corresponding to the electrical stimulation applied each time. Considering that the value of the time parameter cannot be 0 under objective circumstances in this application, the denominator will not be 0. If the denominator is 0 during the specific implementation, it means that the noise is seriously affected and the corresponding data should be discarded.

[0033] Further, 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; and the severity of the instantaneous disorder corresponding to each application of electrical stimulation is determined based on the reference response difference value and the response sensitivity difference value. Preferably, in some possible implementation methods of the embodiments of the present invention, the process of obtaining the severity of the instantaneous disorder includes: determining the severity of the instantaneous disorder corresponding to each application of electrical stimulation based on the product of the reference response difference value and the response sensitivity difference value.

[0034] The electromyographic signals obtained from different electrical stimulations are different, so the pelvic floor muscles are usually stimulated continuously for multiple times with the same current intensity, so as to analyze the performance of the electromyographic signals during each stimulation and evaluate the muscle state. According to the analysis, when the muscles are stimulated continuously for multiple times, they will produce a certain degree of fatigue. At this time, the response sensitivity of each electrical stimulation process will decrease, and the maximum value of the electromyographic signal under the current current intensity, that is, the size of the signal response value, will also decrease. Compared with normal muscle groups, pathological muscle groups are more prone to fatigue, so the corresponding changes in response sensitivity and changes in the maximum value of the electromyographic signal decrease faster or more. Therefore, it can be inferred that for muscle groups, the greater the changes in response brightness and the maximum value of the electromyographic signal, that is, the greater the reduction in response sensitivity, and the greater the decrease in the signal response value, the more severe the functional disorder. Combined with the characteristics of the functional disorder itself that will lead to relatively small response sensitivity and relatively small amplitude, the severity of the functional disorder under each current intensity is further determined based on the product of the cumulative value of the instantaneous disorder severity corresponding to all electrical stimulations, the mean of the signal response value and the mean of the muscle response sensitivity. By calculating the severity of the functional disorder, the fatigue phenomenon caused by multiple muscle operations is combined to comprehensively evaluate the actual state of the muscle, avoiding the influence of the randomness caused by a single sampling on the accuracy of the muscle state.

[0035] In a specific implementation of the embodiment of the present invention, the process of obtaining the degree of functional impairment is expressed by the formula: ;in, For the The severity of the patient's pelvic floor muscle dysfunction at each current intensity; The number of times electrical stimulation was applied at each current intensity; For the The current intensity The sensitivity of muscle response to electrical stimulation; For the The current intensity The sensitivity of muscle response to electrical stimulation; For the The current intensity The response sensitivity difference value corresponding to the electrical stimulation applied each time; For the The current intensity The signal response value of the electrical stimulation applied each time; For the The current intensity The signal response value of the electrical stimulation applied each time; For the The current intensity The reference response difference value corresponding to the electrical stimulation applied each time; For the The average of the muscle response sensitivity of all electrical stimulations at a current intensity; For the The mean of the signal response values ​​of all electrical stimulations applied at a current intensity; For the The current intensity The severity of the instantaneous disorder corresponding to the electrical stimulation applied each time; among them, the parameter in the denominator obviously cannot take the value of 0. If the value is 0 during the specific implementation process, it means that the data is greatly affected by noise and the corresponding data needs to be discarded.

[0036] Step S103: In the order of the current intensities arranged in magnitude, the overall severity of the functional disorder is determined according to the change in severity of the functional disorder of the current intensity and the convergence of the change in amplitude of the surface electromyography signal.

[0037] Since the response of muscle groups to current will also be affected to a certain extent under different current intensities, the severity of muscle dysfunction under electrical stimulation of any current intensity obtained by the above method will also change according to the change of current intensity. Therefore, the performance of muscle dysfunction under different current intensities is also different. In order to avoid the influence of current intensity changes on the actual response of muscles, it is necessary to analyze the changes of electromyographic signals under different current intensities. According to the analysis, since the pelvic floor muscle groups of the human body have the maximum contraction amplitude, when the current intensity exceeds the maximum receiving range of the muscle group, the amplitude of the detected electromyographic signal stops changing; that is, as the current intensity gradually increases, the extreme values ​​of the electromyographic signals of each current intensity will converge or stabilize to a specific electromyographic signal value, that is, the muscle point signal value when the muscle reaches the maximum contraction state. In the process of testing patients with pelvic floor dysfunction based on the above method, compared with muscles with normal functions, the amplitude of their electromyographic signals increases faster and can reach the maximum value at a relatively low current intensity. Therefore, the smaller the current intensity when the surface electromyography signal amplitude changes converge, the earlier the muscle point signal value appears when the muscle reaches the maximum contraction state, and the more serious the corresponding dysfunction. In addition, under different current intensities, the response speed of normal muscle groups to current changes, usually manifested as an increase in response speed. At this time, there are differences in the severity of muscle dysfunction obtained under different current intensities; and the response speed of patients with pelvic floor dysfunction is relatively less affected; therefore, based on the above characteristics, the overall severity of the dysfunction is determined based on the change in the severity of the dysfunction and the convergence of the surface electromyography signal amplitude changes in the order of the current intensity.

[0038] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the overall severity of the functional disorder includes: The mean of all peak point amplitudes in the surface electromyographic signal of the patient's pelvic floor muscle corresponding to all times of electrical stimulation under each current intensity is used as the peak characteristic value corresponding to each current intensity; the muscle group response significance is determined according to the overall convergence trend of the peak characteristic value in the process of the current intensity changing from small to large; preferably, in some possible implementation methods 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, 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, the current intensity with a slope of 0 that appears for the first time is used as the muscle group response significance. Since the earlier the muscle point signal value appears when the muscle reaches the maximum contraction state, the more serious the corresponding dysfunction; and the current intensity with a slope of 0 that appears for the first time usually represents the current intensity corresponding to the convergence or stability, which conforms to the characteristics of the muscle reaching the maximum contraction state, the smaller the current intensity with a slope of 0 that appears for the first time, that is, the smaller the muscle group response significance, the more serious the corresponding pelvic floor dysfunction.

[0039] 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; preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the first functional disorder severity 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; a 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; and a second dysfunction severity is determined based on the mean of the dysfunction severity of all current intensities.

[0040] First of all, whether it is for normal muscle groups or dysfunctional muscle groups, the corresponding dysfunction severity will tend to decrease with the increase of current; however, the reason for the decrease in dysfunction severity is the increase in response speed, while the response speed of patients with pelvic floor dysfunction usually does not change significantly as the current intensity increases, that is, the dysfunction severity of patients with pelvic floor dysfunction decays at a relatively slow rate as the current intensity increases, and the overall dysfunction severity of 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 smaller the significance of the muscle group response, The more severe the corresponding pelvic floor dysfunction is, the overall severity of the dysfunction is determined according to the muscle group response significance, the first dysfunction severity and the second dysfunction severity; preferably, in some possible implementation methods of the embodiments of the present invention, the process of determining the overall severity of the dysfunction according to the muscle group response significance, the first dysfunction severity and the second dysfunction severity includes: determining the overall severity of the dysfunction according to the negative correlation mapping value of the muscle group response significance, the product of the first dysfunction severity and the second dysfunction severity; by calculating the overall severity of the dysfunction, the influence of different current intensities on the performance of the dysfunction by muscles is avoided, thereby improving the accuracy of muscle status assessment.

[0041] In a specific implementation of the embodiment of the present invention, the process of obtaining the overall severity of the functional disorder is expressed by the formula: ;in, is the overall severity of the functional impairment; is the significance of muscle group response, that is, the current intensity at which the slope is 0 for the first time on the current intensity peak characteristic curve; is the number of current intensities with non-zero severity attenuation values. The reason why non-zero severity attenuation values ​​are used for calculation here is that as the current increases, when the muscle reaches the maximum contraction state, the severity of subsequent dysfunction usually does not change. If it is combined with 0 for calculation and analysis, it will affect the accuracy of the calculation results to a certain extent; For the The severity attenuation value of the current intensity with a non-zero severity attenuation value, and the severity attenuation value of the last current intensity defaults to 0; is the severity of the first dysfunction; is the mean of the severity of dysfunction of all current intensities, i.e., the second dysfunction severity; is an exponential function with a natural constant as the base; it should be noted that under normal circumstances, Usually the value is not 0. When the implementation process takes the value of 0, it means that it is affected by large noise and the corresponding data needs to be discarded.

[0042] Step S104: Evaluate the muscle status of the patient with pelvic floor dysfunction according to the overall severity of the dysfunction.

[0043] Further, according to the process of obtaining the overall severity of the dysfunction, the overall severity of the dysfunction of each pelvic floor dysfunction patient is calculated; in essence, the overall severity of the dysfunction obtained is the muscle state assessment result of the pelvic floor dysfunction patient. In some possible implementations of the embodiments of the present invention, the overall severity of the dysfunction of each pelvic floor dysfunction patient can be directly linearly normalized to determine the corresponding muscle state assessment value. In addition, preferably, in some possible implementations of the embodiments of the present invention, the process of assessing the muscle state of pelvic floor dysfunction patients according to the overall severity of the dysfunction includes: A clustering analysis is performed on the overall severity of dysfunction of all patients through a clustering algorithm to obtain at least two clusters of overall severity of dysfunction; in a specific implementation of an embodiment of the present invention, the clustering algorithm adopts a k-means clustering algorithm, and the k value is 3, which can be adjusted by itself. All patients corresponding to the cluster with the greatest overall severity of dysfunction are evaluated as patients with pelvic floor dysfunction with the worst muscle condition. That is, patients with pelvic floor dysfunction with the worst muscle condition are screened out through a clustering method, and the group of patients with the worst pelvic floor dysfunction condition is evaluated. It should be noted that the k-means clustering algorithm is a technical means well known to those skilled in the art, and will not be further elaborated here.

[0044] In summary, the method for assessing the muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals proposed in the present application first analyzes the severity of the dysfunction based on the electromyographic signals according to the characteristics that the muscles of patients with pelvic floor dysfunction are less sensitive to electric current response and are easily fatigued; and then determines a more accurate overall severity of the dysfunction based on the characteristics that the muscles of patients with pelvic floor dysfunction have a low threshold for reaching the maximum contraction degree during the increase of current intensity, their own low signal amplitude and high severity of the dysfunction; thereby making the assessment of the muscle status of patients with pelvic floor dysfunction based on the overall severity of the dysfunction more accurate.

[0045] This application also provides a pelvic floor dysfunction patient muscle status assessment system based on surface electromyography signals, please refer to Figure 2 , which shows a structural diagram of a muscle state assessment system for pelvic floor dysfunction patients based on surface electromyography signals provided by an embodiment of the present invention, the system comprising: a data acquisition module 201, a first determination module 202, a second determination module 203 and a muscle state assessment module 204.

[0046] The data acquisition module 201 is used to 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; The first determination module 202 is used to determine the severity of the 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 surface electromyographic signal corresponding to the electrical stimulation applied in sequence at each current intensity; The second determination module 203 is used to determine the overall severity of the functional disorder according to the change of the functional disorder severity of the current intensity and the convergence of the surface electromyography signal amplitude change in the order of the current intensity arranged in magnitude; The muscle status assessment module 204 is used to assess the muscle status of the patient with pelvic floor dysfunction according to the overall severity of the dysfunction.

[0047] It should be noted that the system provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, 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, the muscle state assessment system for patients with pelvic floor dysfunction based on surface electromyography signals and the muscle state assessment method for patients with pelvic floor dysfunction based on surface electromyography signals provided in the above embodiment belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0048] The present application also provides a computer device. Figure 3 , which shows a schematic diagram of the structure 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, wherein when the processor 302 executes the computer program 303, the computer device can execute any of the aforementioned methods for assessing the muscle state of patients with pelvic floor dysfunction based on surface electromyography signals.

[0049] An embodiment of the present application also provides a computer program product. When the computer program product is run on a computer device, the computer device can execute any of the aforementioned methods for assessing the muscle status of patients with pelvic floor dysfunction based on surface electromyography signals.

[0050] An embodiment of the present application also provides a computer-readable storage medium, in which a computer program code is stored. When the computer program code is executed on a computer device, the computer device can execute any of the aforementioned methods for assessing the muscle condition of patients with pelvic floor dysfunction based on surface electromyography signals.

[0051] 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 repeated here.

[0052] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying 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.

[0053] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced 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; The muscle status of patients with pelvic floor dysfunction was assessed according to the overall severity of the dysfunction.

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 electromyographic signals according to claim 1, characterized in that: 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.

6. A method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals according to claim 5, 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.

7. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals according to claim 5, 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.

8. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyographic signals according to claim 5, 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.

9. The method for assessing muscle status of patients with pelvic floor dysfunction based on surface electromyographic 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.

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

Images