Multifunctional pelvic floor muscle rehabilitation treatment system and method

Abstract

The invention discloses a multifunctional pelvic floor muscle rehabilitation treatment system and method, and relates to the field of rehabilitation physiotherapy. The system comprises an electrode plate, a main control module and a man-machine interaction module, and the electrode plate is used for detecting an electromyographic signal distribution diagram of a preset area; the main control module is used for converting the electromyographic signal distribution diagram into an amplitude matrix and a frequency matrix; generating a first electromyographic signal convolution kernel and a second electromyographic signal convolution kernel based on the shape and the size of the electrode plate; scanning the amplitude matrix by adopting a first electromyographic signal convolution kernel to obtain a first scanning result, and scanning the frequency matrix by adopting a second electromyographic signal convolution kernel to obtain a second scanning result; generating a treatment path of the electrode slice according to the first scanning result and the second scanning result; and the man-machine interaction module is used for displaying the treatment path to the patient and prompting the patient to replace the treatment area of the electrode slice in time. The pelvic floor muscle therapeutic apparatus solves the problem that a patient is difficult to obtain a good therapeutic effect due to lack of professional guidance for the pelvic floor muscle therapeutic apparatus in home treatment.

Description

Technical Field

[0001] The present application relates to the technical field of rehabilitation therapy, and in particular to a multifunctional pelvic floor muscle rehabilitation treatment system and method. Background Art

[0002] After giving birth, women will suffer a certain degree of damage to their pelvic floor muscles, and the self-recovery period of such damage is extremely long, generally taking 1 to 2 years. In this context, a pelvic floor muscle rehabilitation therapy device has been launched. This device uses electrodes that fit the skin to release stimulating currents similar to central nervous system signals to the pelvic floor muscles, allowing the pelvic floor muscles to continuously perform contraction training to enhance their contraction ability, thereby greatly shortening the recovery period of the pelvic floor muscles.

[0003] At present, when designing the electrode sheet of the pelvic floor muscle rehabilitation therapy device, in order to adapt to the stimulation range of the pelvic floor muscles in most cases, the specifications and sizes of the electrode sheet are determined based on the average pelvic floor muscle anatomical area and the effective stimulation area, which makes it impossible to achieve differentiated treatment according to the condition of different patients. However, in real life, in order to ensure the treatment effect, different pelvic floor muscle areas are generally treated multiple times, and this method requires guidance from medical staff with rich clinical experience, which makes it difficult for patients receiving home treatment to obtain good treatment results. Summary of the invention

[0004] In view of the problem that patients receiving home treatment lack professional guidance on pelvic floor muscle therapy instruments, which makes it difficult to obtain good treatment results, the present application provides a multifunctional pelvic floor muscle rehabilitation treatment system and method.

[0005] In a first aspect, the present application provides a multifunctional pelvic floor muscle rehabilitation treatment system, the system comprising an electrode sheet, a main control module and a human-computer interaction module, wherein: The electrode sheet is used to detect an electromyographic signal distribution diagram of a preset area, wherein the electromyographic signal distribution diagram is composed of a plurality of electromyographic signal points, and the electromyographic signal points store electromyographic signal amplitudes and electromyographic signal frequencies; The main control module is used to convert the electromyographic signal distribution diagram into an amplitude matrix and a frequency matrix; Based on the shape and size of the electrode sheet, generating a first electromyographic signal convolution kernel and a second electromyographic signal convolution kernel; The amplitude matrix is ​​scanned by using the first electromyographic signal convolution kernel to obtain a first scanning result, and the frequency matrix is ​​scanned by using the second electromyographic signal convolution kernel to obtain a second scanning result; generating a treatment path of the electrode sheet according to the first scanning result and the second scanning result; The human-computer interaction module is used to display the treatment path to the patient and prompt the patient to change the treatment area of ​​the electrode sheet in time.

[0006] Optionally, the first electromyographic signal convolution kernel is a preset amplitude scanning matrix with high central element weight and low edge element weight; the second electromyographic signal convolution kernel is a preset frequency scanning matrix with low central element weight and high edge element weight.

[0007] Optionally, based on the shape and size of the electrode sheet, generating a first electromyographic signal convolution kernel and a second electromyographic signal convolution kernel specifically includes: Calculate the amplitude interval and frequency interval of a plurality of the electromyographic signal points in the electromyographic signal distribution diagram; Respectively determining whether the amplitude interval and the frequency interval meet the corresponding preset interval conditions; If the amplitude interval does not satisfy the corresponding preset interval condition, each element in the preset amplitude scanning matrix is ​​adjusted and amplified according to the physical distance between each element in the preset amplitude scanning matrix and the central element and the associated distance between each element in the amplitude matrix and the central element; If the frequency interval does not meet the corresponding preset interval condition, each element in the preset frequency scan matrix is ​​adjusted and amplified according to the physical distance between each element in the preset frequency scan matrix and the central element and the associated distance between each element in the frequency matrix and the central element.

[0008] Optionally, the adjusting and amplifying of each element in the preset amplitude scanning matrix is ​​specifically performed using the following formula:

[0009] in, Scan the matrix for the preset amplitude and adjust the amplified element value in the xth row and yth column. Scan the matrix for the preset amplitude and adjust the element value before amplification in the xth row and yth column. is the amplitude magnification factor of the element in the xth row and yth column in the preset amplitude scan matrix, The physical distance between the element in the xth row and the yth column of the preset amplitude scan matrix and the central element, Scans multiple elements in a matrix for a preset magnitude, finding the maximum physical distance from a center element.

[0010] Optionally, generating a treatment path of the electrode sheet according to the first scanning result and the second scanning result specifically includes: Extracting amplitude convolution values ​​of a plurality of scanning areas in the first scanning result and frequency convolution values ​​of a plurality of the scanning areas in the second scanning result; Sorting the amplitude convolution values ​​and the frequency convolution values ​​of the plurality of scanning areas 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 value, the second sorting result is a sorting result of the frequency convolution value, and the first sorting result and the second sorting result have the same structural form; Calculating the sum of the amplitude convolution value ranking and the frequency convolution value ranking in the plurality of scanning areas to obtain a third ranking result of the plurality of scanning areas; A treatment path of the electrode sheet is generated according to the third sorting result.

[0011] Optionally, generating a treatment path of the electrode sheet according to the third sorting result specifically includes: Based on the third sorting result, generating multiple feasible treatment pathways; Calculating the overlapping areas of the scanning regions corresponding to the plurality of feasible treatment paths; The feasible treatment path corresponding to the minimum value of the overlapping areas of the plurality of scanning regions is used as the treatment path of the electrode sheet.

[0012] Optionally, the system further includes a heating module and a user data storage module. The heating module is used to heat the skin temperature of the preset area to a calibrated temperature; The user data storage module is used to store the historical treatment data of the patient.

[0013] In a second aspect, the present application provides a multifunctional pelvic floor muscle rehabilitation treatment method, which is applied to the multifunctional pelvic floor muscle rehabilitation treatment system in the first aspect, and the method comprises: Detecting an electromyographic signal distribution map of a preset area, wherein the electromyographic signal distribution map is composed of a plurality of electromyographic signal points, and the electromyographic signal points store electromyographic signal amplitudes and electromyographic signal frequencies; Converting the electromyographic signal distribution map into an amplitude matrix and a frequency matrix; Based on the shape and size of the electrode sheet, generating a first electromyographic signal convolution kernel and a second electromyographic signal convolution kernel; The amplitude matrix is ​​scanned by using the first electromyographic signal convolution kernel to obtain a first scanning result, and the frequency matrix is ​​scanned by using the second electromyographic signal convolution kernel to obtain a second scanning result; generating a treatment path of the electrode sheet according to the first scanning result and the second scanning result; The treatment path is displayed to the patient and the patient is prompted to replace the treatment area of ​​the electrode sheet in time.

[0014] In a third aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, the method of the second aspect is executed.

[0015] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. This application aims at the problem that patients lack experience in using treatment instruments and relevant medical knowledge during home treatment, which leads to unsatisfactory treatment effects. A multifunctional pelvic floor muscle rehabilitation treatment system is proposed. The system consists 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 muscle according to the electromyographic signal distribution map of the patient's own pelvic floor muscle; then, combined with the shape and size of the electrode sheet, a simulated treatment convolution kernel of the electrode sheet is generated, including a first electromyographic signal convolution kernel for the treatment of contraction strength and a second electromyographic signal convolution kernel for the treatment of contraction rhythm; then, the electromyographic signal distribution map is scanned using the simulated treatment convolution kernel to obtain the first scanning result and the second scanning result, so as to find the area with abnormal contraction strength or disordered contraction rhythm in the electromyographic 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 patients receiving home treatment to have better treatment effects.

[0016] 2. In real situations, the fluctuation amplitude of the electromyographic signal of patients with mild pelvic floor muscle disease is generally not very obvious, which makes it difficult to distinguish normal areas from abnormal areas. This application analyzes the amplitude interval and frequency interval in the electromyographic signal distribution map, and then determines whether the two meet the corresponding preset interval conditions. The preset interval conditions can be understood as the minimum conditions that can distinguish normal areas from abnormal areas. If not, the element value in the electromyographic signal convolution kernel is adjusted to amplify the distinction between abnormal areas and normal areas, so as to better discover areas with abnormal contraction intensity or disordered contraction rhythm in the electromyographic signal distribution map. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a structural schematic diagram of a multifunctional pelvic floor muscle rehabilitation treatment system provided in an embodiment of the present application.

[0018] Figure 2 It is a flow chart of a multifunctional pelvic floor muscle rehabilitation treatment method provided in an embodiment of the present application.

[0019] Explanation of reference numerals: 1. electrode sheet; 2. main control module; 3. human-computer interaction module; 4. heating module; 5. user data storage module. DETAILED DESCRIPTION

[0020] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0021] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0022] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0023] After giving birth, women will suffer a certain degree of damage to their pelvic floor muscles, which will affect every action they take in daily life. However, the body's own repair function for pelvic floor muscle damage is relatively slow, and the self-recovery cycle is long, often taking 1 to 2 years. In this context, a pelvic floor muscle rehabilitation therapy device has been launched. This device uses electrodes that fit the skin to release stimulating currents similar to central nervous system signals to the pelvic floor muscles, allowing the pelvic floor muscles to continuously perform contraction training to enhance their contraction ability, thereby greatly shortening the recovery cycle of the pelvic floor muscles.

[0024] However, the current pelvic floor muscle rehabilitation therapy device still has certain limitations in the electrode design. At this stage, in order to pursue wide applicability and meet the basic stimulation needs of the pelvic floor muscles of most patients, the specifications and sizes of the electrode are mainly determined based on the average pelvic floor muscle anatomical area and the generally applicable effective stimulation area. This design approach ignores the differences between individual patients. Some may have severe local injuries, while others may have overall weak contraction. A single electrode specification is difficult to accurately match the disease details of different patients, making it impossible to achieve truly personalized and differentiated treatment.

[0025] In actual treatment scenarios, in order to ensure ideal treatment effects, multiple treatments are generally performed on different pelvic floor muscle areas. This method requires guidance from medical staff with rich clinical experience, which makes it difficult for patients receiving home treatment to achieve better treatment results.

[0026] In order to solve the above problems, the present application provides a multifunctional pelvic floor muscle rehabilitation treatment system, such as Figure 1 As shown, the system includes an electrode sheet 1, a main control module 2 and a human-computer interaction module 3, wherein: Before treatment, the patient needs to use the electrode sheet 1 to detect the electromyographic signal of the pelvic floor muscles in a 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 into an electromyographic signal distribution map of the preset area. In the electromyographic signal distribution map, multiple electromyographic signal points are evenly arranged therein, and the electromyographic signal amplitude and electromyographic signal frequency are stored in each electromyographic signal point. 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; Before detecting the preset area, in order to enhance 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 high.

[0027] In the EMG signal distribution map, the area with weak contraction intensity or disordered contraction rhythm is the area that needs to be focused on. Therefore, this application converts the EMG signal distribution map into the scale and the number of element points and the EMG signal distribution map. Figure 1 The amplitude matrix and frequency matrix are consistent, where the amplitude matrix is ​​composed of the EMG signal amplitudes and the frequency matrix is ​​composed of the EMG signal frequencies. For example, the EMG signal distribution diagram A is:

[0028] in, , , , is the electromyographic signal point, which stores the corresponding electromyographic signal amplitude and the EMG signal frequency , the transformed amplitude matrix is: , the transformed frequency matrix is: .

[0029] Then, the electrode sheet 1 is used to scan the amplitude matrix and the frequency matrix respectively. During the scanning process, the electrode sheet 1 can be regarded as a scanning matrix. 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 during the treatment process, so as to find the key treatment area within the effective treatment area. Generally, after the electromyographic signals of the pelvic floor muscles are collected and amplified, there is a clear distinction between the abnormal area and the normal area. Therefore, when setting the scanning matrix, the preset scanning matrix can be used preferentially; when explanation is required, during the contraction treatment of the pelvic floor muscles by the electrode sheet 1, the treatment effect of the central area of ​​the electrode sheet 1 is the best, and the closer to the edge, the less the treatment effect. Therefore, the preset scanning matrix for the amplitude matrix is ​​the first electromyographic signal convolution kernel with a high weight for the central element and a low weight for the edge element; and during the contraction rhythm treatment of the pelvic floor muscles by the electrode sheet 1, the edge area can often more keenly reflect the coordination differences between muscles in different parts, and the abnormality of the contraction rhythm of the pelvic floor muscles, the normal body Now, the muscle contractions between local areas are not synchronized. Compared with the central area, the edge area is more closely connected with other surrounding muscle tissues. The subtle time difference or frequency change of muscle contraction in different parts is more easily detected at the edge. Therefore, the preset scanning matrix for the frequency matrix is ​​designed as a second EMG signal convolution kernel with low weight of central elements and high weight of edge elements, so as to amplify the influence of frequency signals in the edge area, so that the system is more sensitive to these edge signal changes that may indicate abnormal contraction rhythm during the scanning process, thereby accurately locating the areas where the contraction rhythm needs to be adjusted, formulating more effective treatment strategies, and helping patients restore the normal contraction rhythm and coordination of the pelvic floor muscles.

[0030] For some patients with mild pelvic floor muscle symptoms, after the electromyographic signals of the pelvic floor muscles are collected and amplified, the abnormal areas and normal areas are not obvious. At this time, if the preset scanning matrix is ​​used, the key treatment area cannot be determined. Therefore, before scanning with the preset scanning matrix, the present application calculates the amplitude interval and frequency interval of multiple electromyographic signal points in the electromyographic signal distribution map, and then respectively determines whether the amplitude interval and frequency interval meet the corresponding preset interval conditions. The preset interval conditions can be understood as the minimum conditions that can distinguish between normal areas and abnormal areas; when the amplitude interval or the frequency interval does not meet the preset interval conditions, it indicates that there is a certain degree of abnormality in the electromyographic signal, but this abnormality is not intuitive in patients with mild symptoms.

[0031] Therefore, for the amplitude interval, if the preset conditions are not met, the main control module 2 adjusts the amplification according to the physical distance between each element of the preset amplitude scanning matrix and the central element, and the associated distance between each element in the amplitude matrix and the central element, specifically using the following formula:

[0032] in, Scan the matrix for the preset amplitude and adjust the amplified element value in the xth row and yth column. Scan the matrix for the preset amplitude and adjust the element value before amplification in the xth row and yth column. is the amplitude magnification factor of the element in the xth row and yth column in the preset amplitude scan matrix, The physical distance between the element in the xth row and the yth column of the preset amplitude scan matrix and the central element, Scans multiple elements in a matrix for a preset magnitude, finding the maximum physical distance from a center element.

[0033] In the above formula, the physical distance between each element and the central element in the preset amplitude scanning matrix reflects the spatial layout of the area covered by the electrode sheet 1. When the electrode sheet 1 detects the electromyographic signal, due to its shape and physical characteristics, the signal in the central area is more accurate, and the signal in the edge area is more blurred. Therefore, when d(x, y) increases, the degree of signal amplification is greater, making the signal in the edge area more accurate; in addition, when amplifying the element points, the distribution of the element points in the entire frequency matrix must also be considered. For normal areas, the amplitude distribution of the element points is relatively stable, while for abnormal areas, the amplitude distribution fluctuation amplitude of the element points is naturally different from that of normal areas; therefore, in the above formula, an amplitude amplification coefficient is also set for each element point in the preset amplitude scanning matrix, and its calculation formula is as follows:

[0034] in, is the myoelectric signal amplitude corresponding to the element point in the xth row and yth column of the preset amplitude scanning matrix, is the mean EMG amplitude of the frequency matrix, is the EMG amplitude variance of the frequency matrix.

[0035] From the above formula, we can see that the mean value of the EMG amplitude of the frequency matrix reflects the stable value of the frequency matrix. The greater the difference between the EMG amplitude corresponding to the element point and the stable value, the greater the corresponding amplification factor.

[0036] Similarly, for the frequency interval, the main control module 2 adjusts the amplification according to the physical distance between each element of the preset frequency scanning matrix and the central element, and the associated distance between each element in the frequency matrix and the central element, specifically using the following formula:

[0037] in, Adjust the amplified element value of the xth row and yth column in the preset frequency scan matrix, Adjust the element value before amplification in the xth row and yth column of the preset frequency scan matrix, is the amplitude magnification factor of the element in the xth row and yth column in the preset amplitude scan matrix, Scan the physical distance between the element in the xth row and the yth column of the matrix and the center element for the preset frequency, Scans multiple elements in a matrix for a preset frequency for the maximum physical distance from the center element.

[0038] The frequency amplification factor calculation formula is as follows:

[0039] in, The frequency of the electromyographic signal corresponding to the element point in the xth row and yth column of the preset frequency scanning matrix, is the mean EMG amplitude of the frequency matrix, is the EMG amplitude variance of the frequency matrix.

[0040] In summary, by considering the spatial distribution of element points in the electrode sheet 1 and the numerical distribution in the electromyographic signal distribution diagram, the areas that need to be focused on can be located more accurately. Whether from the perspective of the physical position of the electrode sheet 1 or from the perspective of the abnormality of the electromyographic signal amplitude itself, the preset scanning matrix can be adjusted more accurately, providing a more reliable signal analysis basis for subsequent treatment.

[0041] After determining the first electromyographic signal convolution kernel (amplitude scanning matrix) of the amplitude matrix and the second electromyographic signal convolution kernel (frequency scanning matrix) of the frequency 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, the treatment path of the electrode sheet 1 is generated. The specific scheme is as follows: First, extract the amplitude convolution values ​​of multiple scanning areas in the first scanning result and the frequency convolution values ​​of multiple scanning areas in the second scanning result; for the convenience of subsequent explanation, it is necessary to explain in this step that the multiple scanning areas in the first scanning result and the multiple scanning areas in the second scanning result are the same scanning area with one-to-one correspondence, that is, the amplitude convolution value and the frequency convolution value are stored in the same scanning area; then, according to the amplitude convolution values ​​and the frequency convolution values ​​of the multiple scanning areas, sort the multiple scanning areas from small to large to obtain the first sorting result and the second sorting result, and the first sorting result is the amplitude convolution value sorting result of the multiple scanning areas. The first sorting result is a sorting result of the frequency convolution values ​​of multiple scanning areas; the second sorting result is a sorting result of the frequency convolution values ​​of multiple scanning areas; then the sorting value of the amplitude convolution value in each scanning area is added to the sorting value of the frequency convolution value to obtain a comprehensive sorting value in each scanning area, and a third sorting result is generated; at this time, for the area with abnormal pelvic floor muscles, its contraction ability is weak and the contraction rhythm is also relatively disordered, therefore, according to the order from large to small in the third sorting result, the treatment path of the electrode sheet 1 is generated, and when the treatment path is generated, when the proportion of the multiple scanning areas constituting the treatment path in the preset area reaches a preset value, the generation of the treatment path is terminated to avoid repeated treatment.

[0042] In a possible implementation, there are scanning areas with the same comprehensive ranking value in the third sorting result, for example: the ranking value of the convolution amplitude convolution value in scanning area A is 2, the ranking value of the frequency convolution value is 2, and its comprehensive ranking value is 4; the ranking value of the convolution amplitude convolution value in scanning area B is 1, the ranking value of the frequency convolution value is 3, and its comprehensive ranking value is 4. At this time, there is overlap between different scanning areas, resulting in repeated treatment of the overlapping areas; in order to reduce such repeated treatment, the present application generates multiple feasible treatment paths based on the third sorting result; then, the overlapping areas of the scanning areas corresponding to the multiple feasible treatment paths are calculated; at this time, the feasible treatment path corresponding to the minimum value of the overlapping areas of the multiple scanning areas is used as the treatment path of the electrode sheet 1, so as to reduce the excessive treatment losses caused by repeated treatment.

[0043] In a possible embodiment, the multifunctional pelvic floor muscle rehabilitation treatment system also includes a user data storage module 5, which is used to store the patient's historical treatment data. When the user is using it, the main control module 2 retrieves the current user's historical treatment data from the user data storage module 5, and then directly generates a treatment path based on the historical treatment data, thereby simplifying the treatment steps and improving the user experience.

[0044] The present application also provides a multifunctional pelvic floor muscle rehabilitation treatment method, which is applied to a multifunctional pelvic floor muscle rehabilitation treatment system, such as Figure 2 As shown, the method includes steps S101 to S106, which are specifically as follows: S101, detecting an electromyographic signal distribution map of a preset area, wherein the electromyographic signal distribution map is composed of a plurality of electromyographic signal points, and the electromyographic signal points store electromyographic signal amplitudes and electromyographic signal frequencies.

[0045] S102, converting the electromyographic signal distribution map into an amplitude matrix and a frequency matrix.

[0046] S103 . Generate a first electromyographic signal convolution kernel and a second electromyographic signal convolution kernel based on the shape and size of the electrode sheet 1 .

[0047] S104, using the first electromyographic signal convolution kernel to scan the amplitude matrix to obtain a first scanning result, and using the second electromyographic signal convolution kernel to scan the frequency matrix to obtain a second scanning result.

[0048] S105 . Generate a treatment path of the electrode sheet 1 according to the first scanning result and the second scanning result.

[0049] S106, displaying the treatment path to the patient and prompting the patient to change the treatment area of ​​the electrode sheet 1 in time.

[0050] The technical solution of the present application, or the part that contributes to the prior art, or the whole or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk.

[0051] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0052] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A multifunctional pelvic floor muscle rehabilitation treatment system, characterized in that: The system comprises an electrode sheet (1), a main control module (2) and a human-computer interaction module (3), wherein: The electrode sheet (1) is used to detect an electromyographic signal distribution diagram of a preset area, wherein the electromyographic signal distribution diagram is composed of a plurality of electromyographic signal points, and the electromyographic signal points store electromyographic signal amplitudes and electromyographic signal frequencies; The main control module (2) is used to convert the electromyographic signal distribution diagram 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; The amplitude matrix is ​​scanned by using the first electromyographic signal convolution kernel to obtain a first scanning result, and the frequency matrix is ​​scanned by using the second electromyographic signal convolution kernel to obtain a second scanning result; generating a treatment path of the electrode sheet (1) according to the first scanning result and the second scanning result; The human-computer interaction module (3) is used to display the treatment path to the patient and to prompt the patient to replace the treatment area of ​​the electrode sheet (1) in a timely manner.

2. The system according to claim 1, characterized in that The first electromyographic signal convolution kernel is a preset amplitude scanning matrix with high central element weight and low edge element weight; the second electromyographic signal convolution kernel is a preset frequency scanning matrix with low central element weight and high edge element weight.

3. The system according to claim 2, characterized in that 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, specifically comprising: Calculate the amplitude interval and frequency interval of a plurality of the electromyographic signal points in the electromyographic signal distribution diagram; respectively determining whether the amplitude interval and the frequency interval satisfy respective corresponding preset interval conditions; If the amplitude interval does not satisfy the corresponding preset interval condition, each element in the preset amplitude scanning matrix is ​​adjusted and amplified according to the physical distance between each element in the preset amplitude scanning matrix and the central element and the associated distance between each element in the amplitude matrix and the central element; If the frequency interval does not meet the corresponding preset interval condition, each element in the preset frequency scan matrix is ​​adjusted and amplified according to the physical distance between each element in the preset frequency scan matrix and the central element and the associated distance between each element in the frequency matrix and the central element.

4. The system according to claim 3, characterized in that The adjustment and amplification of each element in the preset amplitude scanning matrix is ​​specifically performed using the following formula: in, Scan the matrix for the preset amplitude and adjust the amplified element value in the xth row and yth column. Scan the matrix for the preset amplitude and adjust the element value before amplification in the xth row and yth column. is the amplitude magnification factor of the element in the xth row and yth column in the preset amplitude scan matrix, The physical distance between the element in the xth row and the yth column of the preset amplitude scan matrix and the central element, Scans multiple elements in a matrix for a preset magnitude, finding the maximum physical distance from a center element.

5. The system according to claim 1, characterized in that Generating a treatment path of the electrode sheet (1) according to the first scanning result and the second scanning result specifically includes: Extracting amplitude convolution values ​​of a plurality of scanning areas in the first scanning result and frequency convolution values ​​of a plurality of the scanning areas in the second scanning result; Sorting the amplitude convolution values ​​and the frequency convolution values ​​of the plurality of scanning areas 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 value, the second sorting result is a sorting result of the frequency convolution value, and the first sorting result and the second sorting result have the same structural form; Calculating the sum of the amplitude convolution value ranking and the frequency convolution value ranking in the plurality of scanning areas to obtain a third ranking result of the plurality of scanning areas; According to the third sorting result, a treatment path of the electrode sheet (1) is generated.

6. The system according to claim 5, characterized in that Generating a treatment path for the electrode sheet (1) according to the third sorting result specifically includes: Based on the third sorting result, generating multiple feasible treatment pathways; Calculating the overlapping areas of the scanning regions corresponding to the plurality of feasible treatment paths; The feasible treatment path corresponding to the minimum value of the overlapping areas of the plurality of scanning regions is used as the treatment path of the electrode sheet (1).

7. The system according to claim 1, characterized in that The system further comprises a heating module (4) and a user data storage module (5). The heating module (4) is used to heat the skin temperature of the preset area to a calibrated temperature; The user data storage module (5) is used to store the patient's historical treatment data.

8. A multifunctional pelvic floor muscle rehabilitation treatment method, characterized in that: The multifunctional pelvic floor muscle rehabilitation treatment system applied to claims 1 to 7, the method comprising: Detecting an electromyographic signal distribution map of a preset area, wherein the electromyographic signal distribution map is composed of a plurality of electromyographic signal points, and the electromyographic signal points store electromyographic signal amplitudes and electromyographic signal frequencies; 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; The amplitude matrix is ​​scanned by using the first electromyographic signal convolution kernel to obtain a first scanning result, and the frequency matrix is ​​scanned by using the second electromyographic signal convolution kernel to obtain a second scanning result; generating a treatment path of the electrode sheet (1) according to the first scanning result and the second scanning result; The treatment path is displayed to the patient and the patient is prompted to replace the treatment area of ​​the electrode sheet (1) in a timely manner.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, an application program of the method according to claim 8 is executed.

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