A multifunctional pelvic floor muscle rehabilitation treatment system

Abstract

The application discloses a multifunctional pelvic floor muscle rehabilitation treatment system and method, and relates to the field of rehabilitation therapy.The system comprises an electrode patch, a main control module and a man-machine interaction module, the electrode patch is used for detecting an electromyographic signal distribution map of a preset area; the main control module is used for converting the electromyographic signal distribution map into an amplitude matrix and a frequency matrix; based on the shape and size of the electrode patch, a first electromyographic signal convolution kernel and a second electromyographic signal convolution kernel are generated; the first electromyographic signal convolution kernel is used for scanning the amplitude matrix to obtain a first scanning result, and the second electromyographic signal convolution kernel is used for scanning the frequency matrix to obtain a second scanning result; according to the first scanning result and the second scanning result, a treatment path of the electrode patch is generated; and the man-machine interaction module is used for displaying the treatment path to a patient and prompting the patient to timely replace the treatment area of the electrode patch. Thus, the problem that patients in home treatment lack professional guidance for pelvic floor muscle treatment instruments and it is difficult to obtain good treatment effect is solved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of rehabilitation physiotherapy, and in particular to a multifunctional pelvic floor muscle rehabilitation treatment system. BACKGROUND

[0002] After childbirth, a woman will cause a certain degree of damage to the pelvic floor muscle, and the self-recovery period of the damage is extremely long, generally 1 to 2 years. Under this background, a pelvic floor muscle rehabilitation treatment instrument is launched. The instrument releases a stimulation current similar to a central nervous signal to the pelvic floor muscle through a skin-adhesive electrode sheet, so that the pelvic floor muscle continuously performs contraction training to enhance the contraction ability of the pelvic floor muscle, thereby greatly shortening the recovery period of the pelvic floor muscle.

[0003] At present, when designing the electrode sheet of the pelvic floor muscle rehabilitation treatment instrument, in order to adapt to the stimulation range of the pelvic floor muscle in most cases, the specification size of the electrode sheet is determined based on the average pelvic floor muscle anatomical region and effective stimulation area, which also leads to the fact that different treatment cannot be realized according to the disease conditions of different patients. However, in the real situation, in order to ensure the treatment effect, different pelvic floor muscle regions are generally treated for multiple times, and this way needs the guidance of medical staff with rich clinical experience, so that patients who are treated at home are difficult to obtain a good treatment effect. SUMMARY

[0004] In view of the problem that patients treated at home lack professional guidance for the pelvic floor muscle treatment instrument, and thus it is difficult to obtain a good treatment effect, the application provides a multifunctional pelvic floor muscle rehabilitation treatment system and method.

[0005] In a first aspect, the application provides a multifunctional pelvic floor muscle rehabilitation treatment system, which comprises an electrode sheet, a main control module and a human-computer interaction module, wherein:

[0006] The electrode sheet is used for detecting a myoelectric signal distribution map of a preset region, the myoelectric signal distribution map is composed of a plurality of myoelectric signal points, and the myoelectric signal points store myoelectric signal amplitudes and myoelectric signal frequencies.

[0007] The main control module is used for converting the myoelectric signal distribution map into an amplitude matrix and a frequency matrix.

[0008] Based on the shape and size of the electrode sheet, a first myoelectric signal convolution kernel and a second myoelectric signal convolution kernel are generated.

[0009] The first myoelectric signal convolution kernel is used for scanning the amplitude matrix to obtain a first scanning result, and the second myoelectric signal convolution kernel is used for scanning the frequency matrix to obtain a second scanning result.

[0010] generating a treatment path of the electrode sheet according to the first scanning result and the second scanning result;

[0011] The human-computer interaction module is configured to display the treatment path to the patient and prompt the patient to replace the treatment area of the electrode sheet in time.

[0012] Optionally, the first electromyographic signal convolution kernel is a preset amplitude scanning matrix with high weight of a central element and low weight of an edge element; and the second electromyographic signal convolution kernel is a preset frequency scanning matrix with low weight of a central element and high weight of an edge element.

[0013] Optionally, the first electromyographic signal convolution kernel and the second electromyographic signal convolution kernel are generated based on the shape and size of the electrode sheet, and specifically include:

[0014] calculating an amplitude interval and a frequency interval of the plurality of electromyographic signal points in the electromyographic signal distribution map;

[0015] respectively judging whether the amplitude interval and the frequency interval satisfy respective preset interval conditions;

[0016] If the amplitude interval does not satisfy the corresponding preset interval condition, each element in the preset amplitude scanning matrix is adjusted and enlarged according to a physical distance between each element and a central element in the preset amplitude scanning matrix and a correlation distance between each element and the central element in the amplitude matrix.

[0017] If the frequency interval does not satisfy the corresponding preset interval condition, each element in the preset frequency scanning matrix is adjusted and enlarged according to a physical distance between each element and a central element in the preset frequency scanning matrix and a correlation distance between each element and the central element in the frequency matrix.

[0018] Optionally, the adjustment and enlargement of each element in the preset amplitude scanning matrix is specifically performed according to the following formula:

[0019]

[0020] wherein, is an adjusted and enlarged element value in the xth row and yth column of the preset amplitude scanning matrix, is an element value in the xth row and yth column of the preset amplitude scanning matrix before adjustment and enlargement, is an amplitude enlargement coefficient of the element in the xth row and yth column of the preset amplitude scanning matrix, is a physical distance between the element in the xth row and yth column of the preset amplitude scanning matrix and a central element, is a farthest physical distance between a plurality of elements and the central element in the preset amplitude scanning matrix

[0021] Optionally, according to the first scanning result and the second scanning result, a treatment path of the electrode sheet is generated, specifically comprising:

[0022] extracting amplitude convolution values of a plurality of scanning regions in the first scanning result and frequency convolution values of the plurality of scanning regions in the second scanning result;

[0023] sorting the amplitude convolution values and the frequency convolution values of the plurality of scanning regions respectively to obtain a first sorting result and a second sorting result, wherein the first sorting result is a sorting result of the amplitude convolution values, the second sorting result is a sorting result of the frequency convolution values, and the first sorting result and the second sorting result have the same structure;

[0024] calculating a sum of the sorting of the amplitude convolution values and the sorting of the frequency convolution values in the plurality of scanning regions to obtain a third sorting result of the plurality of scanning regions;

[0025] generating the treatment path of the electrode sheet according to the third sorting result.

[0026] Optionally, according to the third sorting result, a treatment path of the electrode sheet is generated, specifically comprising:

[0027] generating a plurality of feasible treatment paths based on the third sorting result;

[0028] calculating a plurality of scanning region overlapping areas corresponding to the plurality of feasible treatment paths;

[0029] taking a feasible treatment path corresponding to a minimum value in the plurality of scanning region overlapping areas as the treatment path of the electrode sheet.

[0030] Optionally, the system further comprises a heating module and a user data storage module,

[0031] the heating module is configured to heat the skin temperature of the preset region to a calibration temperature;

[0032] the user data storage module is configured to store historical treatment data of the patient.

[0033] In a second aspect, the application provides a multifunctional pelvic floor muscle rehabilitation treatment method applied to the multifunctional pelvic floor muscle rehabilitation treatment system in the first aspect, and the method comprises:

[0034] detecting a myoelectric signal distribution map of a preset region, wherein the myoelectric signal distribution map is composed of a plurality of myoelectric signal points, and each myoelectric signal point stores an amplitude of a myoelectric signal and a frequency of the myoelectric signal;

[0035] converting the myoelectric signal distribution map into an amplitude matrix and a frequency matrix;

[0036] generate a first electromyography signal kernel and a second electromyography signal kernel based on the shape and size of the electrode sheet;

[0037] scan the amplitude matrix using the first electromyography signal kernel to obtain a first scanning result, and scan the frequency matrix using the second electromyography signal kernel to obtain a second scanning result;

[0038] generate a treatment path of the electrode sheet according to the first scanning result and the second scanning result;

[0039] display the treatment path to the patient and prompt the patient to replace the treatment area of the electrode sheet in time.

[0040] In a third aspect, the present application provides a computer readable storage medium, the computer readable storage medium stores instructions, when the instructions are executed, the method of the second aspect is executed.

[0041] In summary, the one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0042] 1. The present application aims at the problem that patients lack experience in using treatment instruments and relevant medical knowledge when treating at home, resulting in unsatisfactory treatment effect. A multifunctional pelvic floor muscle rehabilitation treatment system is proposed, which is composed of an electrode sheet, a main control module and a human-computer interaction module. The system understands the contraction strength and contraction rhythm of the patient's pelvic floor muscles according to the electromyography signal distribution map of the patient's own pelvic floor muscles. Then, combined with the shape and size of the electrode sheet, the simulated treatment kernel of the electrode sheet is generated, which includes the first electromyography signal kernel for treatment contraction strength and the second electromyography signal kernel for treatment contraction rhythm. Then, the electromyography signal distribution map is scanned using the simulated treatment kernel to obtain the first scanning result and the second scanning result, so as to find the area with abnormal contraction strength or contraction rhythm in the electromyography signal distribution map, so as to determine the optimal treatment path. Finally, the optimal treatment path is displayed and guided to the patient through the human-computer interaction module, so as to help the patients treating at home to have better treatment effect.

[0043] 2、In the real situation, the fluctuation amplitude of the myoelectric signal of the patient with mild pelvic floor muscle is generally not obvious, so that it is difficult to distinguish the normal area from the abnormal area. The application analyzes the amplitude interval and the frequency interval in the myoelectric signal distribution diagram, and then judges whether the two meet the respective preset interval conditions. The preset interval condition can be understood as the minimum condition for distinguishing the normal area from the abnormal area. If it is not met, the element value size in the myoelectric signal convolution kernel is adjusted to amplify the distinction between the abnormal area and the normal area, so as to better find the area with abnormal contraction strength or contraction rhythm disorder in the myoelectric signal distribution diagram. BRIEF DESCRIPTION OF DRAWINGS

[0044] Figure 1 is a structural schematic diagram of a multifunctional pelvic floor muscle rehabilitation treatment system provided by an embodiment of the application.

[0045] Figure 2 is a flowchart of a multifunctional pelvic floor muscle rehabilitation treatment method provided by an embodiment of the application.

[0046] The reference signs are explained as follows: 1, electrode sheet; 2, main control module; 3, human-computer interaction module; 4, heating module; 5, user data storage module. DETAILED DESCRIPTION

[0047] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the embodiments of the specification will be clearly and completely described below in combination with the drawings in the embodiments of the specification. Obviously, the described embodiments are only some of the embodiments of the application, not all the embodiments.

[0048] In the description of the embodiments of the application, the words such as "for example" or "for instance" are used to represent an example, illustration or description. Any embodiment or design scheme described as "for example" or "for instance" in the embodiments of the application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "for example" or "for instance" are intended to present the relevant concept in a specific manner.

[0049] In the description of the embodiments of the application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are used for description purposes only, and should not be interpreted as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features limited by "first" and "second" can explicitly or implicitly include one or more features. The terms "include", "contain", "have" and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0050] After childbirth, women will cause a certain degree of damage to the pelvic floor muscles, which will affect their daily movements; however, the body's own repair function of pelvic floor muscle damage is relatively slow, and the self-recovery period is long, often taking 1 to 2 years. Under this background, a pelvic floor muscle rehabilitation therapy instrument is launched. This instrument releases a stimulation current similar to the central nervous signal to the pelvic floor muscles through the skin-adhesive electrode sheet, so that the pelvic floor muscles continuously perform contraction training to enhance the contraction ability of the pelvic floor muscles, thereby greatly shortening the recovery period of the pelvic floor muscles.

[0051] However, the current pelvic floor muscle rehabilitation therapy instrument still has certain limitations in the electrode sheet design link. At present, in order to pursue wide applicability and meet the basic stimulation needs of most patients' pelvic floor muscles, the size of the electrode sheet is mainly determined according to the average pelvic floor muscle anatomical area and the commonly used effective stimulation area. This design idea ignores the differences between individual patients, some of whom may have more severe local area damage, and some of whom have overall contraction weakness. A single electrode sheet size cannot accurately match the details of different patients, so it cannot achieve truly personalized and differentiated treatment.

[0052] In actual treatment scenarios, in order to ensure ideal treatment effect, different pelvic floor muscle regions are generally treated multiple times, and this method requires the guidance of experienced medical staff, which makes it difficult for patients to get better treatment effect at home.

[0053] To solve the above problems, the present application provides a multifunctional pelvic floor muscle rehabilitation treatment system, as shown in Figure 1 The system includes an electrode sheet 1, a main control module 2, and a human-computer interaction module 3, wherein:

[0054] Before treatment, the patient needs to use the electrode sheet 1 to detect the pelvic floor muscle electromyographic signal in the preset area, and then transmit the detected electromyographic signal to the main control module 2. The main control module 2 constructs the detected electromyographic signal as an electromyographic signal distribution map of the preset area. In the electromyographic signal distribution map, a plurality of electromyographic signal points are evenly arranged therein, and in each electromyographic signal point, the electromyographic signal amplitude and the electromyographic signal frequency are stored. It can be understood that the electromyographic signal amplitude reflects the contraction strength of the pelvic floor muscles, and the electromyographic signal frequency reflects the contraction rhythm of the pelvic floor muscles;

[0055] Before detecting the preset area, in order to improve the muscle activity of the pelvic floor muscles, the system further includes a heating module 4 for heating the skin temperature of the preset area to a calibration temperature, which is the skin temperature when the pelvic floor muscle activity is higher.

[0056] In the myoelectric signal distribution map, the area with weak contraction strength or disordered contraction rhythm is the area that needs to be focused on. Therefore, the myoelectric signal distribution map is converted into a scale and an element point number and myoelectric signal distribution Figure 1 matrix with an amplitude matrix and a frequency matrix, wherein the amplitude matrix is composed of myoelectric signal amplitudes, and the frequency matrix is composed of myoelectric signal frequencies. For example, the myoelectric signal distribution map A is:

[0057]

[0058] wherein, , , , is a myoelectric signal point, wherein a respective corresponding myoelectric signal amplitude and a myoelectric signal frequency are stored, the converted amplitude matrix is: , and the converted frequency matrix is: .

[0059] Then, the electrode sheet 1 is used to scan the amplitude matrix and the frequency matrix respectively. In the scanning process, the electrode sheet 1 can be regarded as a scanning matrix, and the design of the scanning matrix is determined by the shape and size of the electrode sheet 1, so as to fit the effective treatment area corresponding to the electrode sheet 1 in the treatment process, so as to find the key treatment area in the effective treatment area. Generally, the myoelectric signal of the pelvic floor muscle has a relatively obvious distinction between the abnormal area and the normal area after being collected and amplified, and therefore, a preset scanning matrix can be preferentially used when the scanning matrix is set. When explanation is needed, in the contraction treatment process of the pelvic floor muscle by the electrode sheet 1, the treatment effect of the central area of the electrode sheet 1 is the best, and the treatment effect gradually decreases as it is closer to the edge. Therefore, the preset scanning matrix for the amplitude matrix is a first myoelectric signal convolution kernel with high weight of the central element and low weight of the edge element. In the contraction rhythm treatment process of the pelvic floor muscle by the electrode sheet 1, the edge area can more sensitively reflect the coordination difference between different parts of the muscle, and the abnormality of the contraction rhythm of the pelvic floor muscle is often reflected in the asynchronization of the muscle contraction between local areas. Compared with the central area, the edge area is more closely connected with other muscle tissues around, and the subtle time difference or frequency change of the muscle contraction of different parts of the muscle is more easily perceived at the edge. Therefore, the preset scanning matrix for the frequency matrix is designed as a second myoelectric signal convolution kernel with low weight of the central element and high weight of the edge element, so as to amplify the influence of the frequency signal of the edge area, make the system more sensitive to the edge signal change that may imply the abnormality of the contraction rhythm in the scanning process, accurately locate the area that needs to be focused on for adjusting the contraction rhythm, develop a more effective treatment strategy, and help the patient recover the normal contraction rhythm and coordination of the pelvic floor muscle.

[0060] For some patients with mild pelvic floor muscle symptoms, the abnormal and normal areas of the pelvic floor muscle electromyography (EMG) signals are not obvious after acquisition and amplification. In this case, if a preset scanning matrix is ​​used, the key treatment area cannot be determined. Therefore, before scanning with a preset scanning matrix, this application calculates the amplitude and frequency ranges of multiple EMG signal points in the EMG signal distribution map, and then judges whether the amplitude and frequency ranges meet their respective preset range conditions. The preset range conditions can be understood as the minimum conditions that can distinguish between normal and abnormal areas. When the amplitude or frequency range does not meet the preset range conditions, it indicates that there is a certain degree of abnormality in the EMG signal, but this abnormality is not obvious in patients with mild symptoms.

[0061] Therefore, for the amplitude range, if the preset conditions are not met, the main control module 2 adjusts the amplification based on the physical distance between each element of the preset amplitude scanning matrix and the center element, as well as the correlation distance between each element of the amplitude matrix and the center element. Specifically, the following formula is used:

[0062]

[0063] in, To adjust the magnified element values ​​in the x-th row and y-th column of the preset amplitude scan matrix, To adjust the values ​​of the elements in the x-th row and y-th column of the preset amplitude scan matrix before amplification, This represents the amplitude amplification factor of the element in the x-th row and y-th column of the preset amplitude scan matrix. The physical distance between the element in the x-th row and y-th column of the preset amplitude scan matrix and the center element. This represents the farthest physical distance between multiple elements and the center element in the preset amplitude scanning matrix.

[0064] In the above formula, the physical distance between each element in the preset amplitude scanning matrix and the central element reflects the spatial layout of the area covered by electrode 1. When electrode 1 detects electromyographic signals, due to its shape and physical characteristics, the signal in the central region is more accurate, while the signal in the edge region is more blurred. Therefore, when... The greater the amplification, the more accurate the signal in the edge regions. Furthermore, when amplifying element points, the distribution of these points within the entire frequency matrix must be considered. In normal regions, the amplitude distribution of element points is relatively stable, while in abnormal regions, the amplitude distribution fluctuations naturally differ from those in normal regions. Therefore, the above formula also sets an amplitude amplification coefficient for each element point in the preset amplitude scanning matrix, and its calculation formula is as follows:

[0065]

[0066] wherein, is the amplitude of the myoelectric signal corresponding to the element in the xth row and yth column of the preset amplitude scanning matrix, is the mean of the myoelectric amplitude of the frequency matrix, is the variance of the myoelectric amplitude of the frequency matrix.

[0067] From the above formula, it can be understood that the mean of the myoelectric amplitude of the frequency matrix reflects the stable value of the frequency matrix. The greater the difference between the myoelectric amplitude corresponding to the element and the stable value, the greater the corresponding amplification coefficient.

[0068] Similarly, for the frequency interval, the host module 2 adjusts the amplification according to the physical distance between each element and the center element of the preset frequency scanning matrix, and the correlation distance between each element and the center element in the frequency matrix. Specifically, the following formula is used:

[0069]

[0070] wherein, is the element value of the xth row and yth column of the preset frequency scanning matrix after adjustment and amplification, is the element value of the xth row and yth column of the preset frequency scanning matrix before adjustment and amplification, is the frequency amplification coefficient of the element in the xth row and yth column of the preset amplitude scanning matrix, is the physical distance between the element in the xth row and yth column of the preset frequency scanning matrix and the center element, is the farthest physical distance between the plurality of elements and the center element in the preset frequency scanning matrix.

[0071] The frequency amplification coefficient calculation formula is specifically:

[0072]

[0073] wherein, is the frequency of the myoelectric signal corresponding to the element in the xth row and yth column of the preset frequency scanning matrix, is the mean of the myoelectric amplitude of the frequency matrix, is the variance of the myoelectric amplitude of the frequency matrix.

[0074] In summary, by considering the spatial distribution of the element points in the electrode sheet 1 and the numerical distribution in the myoelectric signal distribution map, the area that needs to be focused on can be more accurately located, whether from the perspective of the physical position of the electrode sheet 1 or from the perspective of the abnormality of the myoelectric signal amplitude itself. The preset scanning matrix can be more accurately adjusted, providing a more reliable signal analysis basis for subsequent treatment.

[0075] After determining the first electromyographic signal convolution kernel of the amplitude matrix (amplitude scanning matrix) and the second electromyographic signal convolution kernel of the frequency matrix (frequency scanning matrix), the amplitude matrix and the frequency matrix are scanned respectively to obtain the first scanning result of the amplitude matrix and the second scanning result of the frequency matrix; then, according to the first scanning result and the second scanning result, a treatment path of the electrode sheet 1 is generated, and the specific scheme is as follows:

[0076] First, the amplitude convolution values of the plurality of scanning regions in the first scanning result and the frequency convolution values of the plurality of scanning regions in the second scanning result are extracted; for the convenience of subsequent description, the plurality of scanning regions in the first scanning result and the plurality of scanning regions in the second scanning result are the same scanning region in one-to-one correspondence, that is, the same scanning region stores the amplitude convolution value and the frequency convolution value thereof; then, according to the amplitude convolution values and the frequency convolution values of the plurality of scanning regions, the plurality of scanning regions are sorted from small to large to obtain a first sorting result and a second sorting result, the first sorting result is the sorting result of the amplitude convolution values of the plurality of scanning regions, and the second sorting result is the sorting result of the frequency convolution values of the plurality of scanning regions; then, the sorting value of the amplitude convolution value and the sorting value of the frequency convolution value in each scanning region are added to obtain a comprehensive sorting value in each scanning region, and a third sorting result is generated; at this time, for the abnormal region of the pelvic floor muscle, the contraction ability is weak and the contraction rhythm is also relatively disordered, therefore, according to the third sorting result from large to small, the treatment path of the electrode sheet 1 is generated, and when the proportion of the plurality of scanning regions constituting the treatment path in the preset region reaches the preset value, the generation of the treatment path is terminated, so as to avoid repeated treatment.

[0077] In a possible implementation, in the third sorting result, there are scanning regions with the same comprehensive sorting value, for example: the sorting value of the amplitude convolution value in the scanning region A is 2, the sorting value of the frequency convolution value is 2, and the comprehensive sorting value is 4; the sorting value of the amplitude convolution value in the scanning region B is 1, the sorting value of the frequency convolution value is 3, and the comprehensive sorting value is 4. At this time, there is a coincidence phenomenon in different scanning regions, which leads to repeated treatment of the coincident region; in order to reduce the repeated treatment, the present application generates a plurality of feasible treatment paths based on the third sorting result; then, the scanning region overlapping area corresponding to each of the plurality of feasible treatment paths is calculated; at this time, the feasible treatment path corresponding to the minimum value in the plurality of scanning region overlapping areas is taken as the treatment path of the electrode sheet 1, so as to reduce the excessive treatment loss caused by repeated treatment.

[0078] In a possible implementation, the multifunctional pelvic floor muscle rehabilitation treatment system further comprises a user data storage module 5, which is configured to store historical treatment data of the patient.

[0079] The application also provides a multifunctional pelvic floor muscle rehabilitation treatment method, which is applied to the multifunctional pelvic floor muscle rehabilitation treatment system, as shown in the figure, and comprises steps S101 to S106, and specifically as follows. Figure 2

[0080] S101, detecting an electromyographic signal distribution map of a preset area, the electromyographic signal distribution map being composed of a plurality of electromyographic signal points, and the electromyographic signal points storing electromyographic signal amplitudes and electromyographic signal frequencies.

[0081] S102, converting the electromyographic signal distribution map into an amplitude matrix and a frequency matrix.

[0082] S103, generating a first electromyographic signal convolution kernel and a second electromyographic signal convolution kernel based on the shape and size of the electrode sheet 1.

[0083] S104, scanning the amplitude matrix by using the first electromyographic signal convolution kernel to obtain a first scanning result, and scanning the frequency matrix by using the second electromyographic signal convolution kernel to obtain a second scanning result.

[0084] S105, generating a treatment path of the electrode sheet 1 according to the first scanning result and the second scanning result.

[0085] S106, displaying the treatment path to the patient and prompting the patient to replace the treatment area of the electrode sheet 1 in time.

[0086] The technical solution of the application or the part of the prior art that essentially contributes or the whole or part of the technical solution can be embodied in the form of a software product, which is stored in a storage, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method of each embodiment of the application. The aforementioned storage includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0087] The above is only an exemplary embodiment of the present disclosure, and cannot limit the scope of the present disclosure. Any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and the practical truth of the disclosure. ​

[0088] This application is intended to cover any variations, uses, or adaptations of the disclosure following the general principles thereof and including such departures from the present disclosure that come within known use or custom in the art to which the disclosure pertains. The specification and drawings are, accordingly, to be regarded as illustrative rather than restrictive.

Claims

1. A multi-functional pelvic floor muscle rehabilitation system, characterized by, The system comprises an electrode sheet (1), a master control module (2) and a human-computer interaction module (3), wherein: The electrode sheet (1) is used for detecting the electromyographic signal distribution map of the preset area, and the electromyographic signal distribution map is composed of a plurality of electromyographic signal points, and the electromyographic signal points store the amplitude and frequency of the electromyographic signal; The master control module (2) is used for converting the electromyographic signal distribution map into an amplitude matrix and a frequency matrix; Based on the shape and size of the electrode sheet (1), a first electromyographic signal convolution kernel and a second electromyographic signal convolution kernel are generated, wherein the first electromyographic signal convolution kernel is a preset amplitude scanning matrix with high center element weight and low edge element weight; the second electromyographic signal convolution kernel is a preset frequency scanning matrix with low center element weight and high edge element weight, which specifically comprises: The amplitude interval and the frequency interval of the plurality of electromyographic signal points in the electromyographic signal distribution map are calculated; It is judged whether the amplitude interval and the frequency interval meet the respective corresponding preset interval conditions; If the amplitude interval does not meet the corresponding preset interval condition, the elements in the preset amplitude scanning matrix are adjusted and enlarged according to the physical distance between each element and the center element in the preset amplitude scanning matrix and the associated distance between each element and the center element in the amplitude matrix; If the frequency interval does not meet the corresponding preset interval condition, the elements in the preset frequency scanning matrix are adjusted and enlarged according to the physical distance between each element and the center element in the preset frequency scanning matrix and the associated distance between each element and the center element in the frequency matrix; The first electromyographic signal convolution kernel is used to scan the amplitude matrix to obtain a first scanning result, and the second electromyographic signal convolution kernel is used to scan the frequency matrix to obtain a second scanning result; According to the first scanning result and the second scanning result, a treatment path of the electrode sheet (1) is generated, which specifically comprises: The amplitude convolution values of a plurality of scanning regions in the first scanning result and the frequency convolution values of a plurality of scanning regions in the second scanning result are extracted; The amplitude convolution values and the frequency convolution values of a plurality of scanning regions are sorted respectively to obtain a first sorting result and a second sorting result, wherein the first sorting result is the sorting result of the amplitude convolution value, the second sorting result is the sorting result of the frequency convolution value, and the structure of the first sorting result and the second sorting result is consistent; The sum of the amplitude convolution value sorting and the frequency convolution value sorting in a plurality of scanning regions is calculated to obtain a third sorting result of a plurality of scanning regions; According to the third sorting result, a treatment path of the electrode sheet (1) is generated, which specifically comprises: Based on the third sorting result, a plurality of feasible treatment paths are generated; The overlapping areas of a plurality of scanning regions corresponding to each of the feasible treatment paths are calculated; The feasible treatment path corresponding to the minimum value of the overlapping area of a plurality of scanning regions is taken as the treatment path of the electrode sheet (1). The human-computer interaction module (3) is used for displaying the treatment path to the patient and prompting the patient to replace the treatment area of the electrode sheet (1) in time.

2. The system of claim 1, wherein, The adjustment and amplification of each element in the preset amplitude scanning matrix is specifically performed according to the following formula: ； wherein, is the amplitude of the element in the preset amplitude scanning matrix at the xth row and yth column, is the element value before amplitude adjustment in the preset amplitude scanning matrix at the xth row and yth column, is the amplitude adjustment coefficient of the element in the preset amplitude scanning matrix at the xth row and yth column, is the physical distance between the element in the preset amplitude scanning matrix at the xth row and yth column and the center element, is the farthest physical distance between the plurality of elements in the preset amplitude scanning matrix and the center element.

3. The system of claim 1, wherein, The system further comprises a heating module (4) and a user data storage module (5), The heating module (4) is used for heating the skin temperature of the preset area to a calibration temperature. The user data storage module (5) is used for storing the historical treatment data of the patient.

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