Pelvic floor muscle evaluation and treatment training device and method

Abstract

The invention discloses a pelvic floor muscle evaluation and treatment training device and a pelvic floor muscle evaluation and treatment training method. The device comprises a surface myoelectricity acquisition module for acquiring pelvic floor muscle surface myoelectricity values and abdominal surface myoelectricity values; the control processing module is used for receiving the myoelectricity value acquired by the surface myoelectricity acquisition module, analyzing and processing the myoelectricity value and giving a pelvic floor muscle evaluation report and electrical stimulation signal parameters; the electrical stimulation treatment module, the myoelectricity training module and the myoelectricity triggering training module are electrically connected with the control processing module. According to the invention, the control processing module carries out analysis processing according to the myoelectricity value acquired by the surface myoelectricity acquisition module, gives a pelvic floor muscle evaluation report and electrical stimulation signal parameters, and controls the electrical stimulation treatment module and the myoelectricity training module to carry out electrical stimulation treatment or pelvic floor muscle training or carry out electrical stimulation treatment while pelvic floor muscle training. The pelvic floor muscle biofeedback therapeutic instrument effectively solves the problem that an existing pelvic floor muscle biofeedback therapeutic instrument is inconvenient to use at home.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and particularly relates to a device and method for pelvic floor muscle assessment and treatment training. Background Art

[0002] During pregnancy, due to the growth of the fetus, the uterus enlarges and presses on the pelvic floor muscles. The excessive pressure and traction during childbirth can also cause the pelvic floor muscles to become loose and weak. The weakening of the pelvic floor muscle function in women can lead to pelvic floor disorders such as urinary incontinence, organ prolapse, vaginal relaxation, and sexual intercourse pain, seriously affecting the physical and mental health and quality of sexual life of women. Currently, treatment is mainly carried out through a pelvic floor muscle biofeedback therapy instrument. The pelvic floor muscle biofeedback therapy instrument is mainly used for the treatment of diseases related to pelvic floor muscle dysfunction. Through the principle of biofeedback, the activities and tensions of the pelvic floor muscles are converted into visible graphs and data, enabling users and doctors to intuitively understand the condition of the pelvic floor muscles.

[0003] Traditional pelvic floor muscle therapy instruments require professional doctors to formulate treatment plans based on pelvic floor muscle assessment results, and treatment parameters need to be continuously adjusted during the treatment process to achieve the best state; users need to go to the hospital or receive guidance and diagnosis from professional medical staff, which brings certain inconvenience to the private use of users at home; therefore, a device and method for pelvic floor muscle assessment and treatment training are provided to solve the above problems. Summary of the Invention

[0004] One of the purposes of the present invention is to provide a device and method for pelvic floor muscle assessment and treatment training to facilitate the solution of the problem that existing pelvic floor muscle biofeedback therapy instruments are inconvenient to use at home.

[0005] A device and method for pelvic floor muscle assessment and treatment training of the present invention can be realized through the following technical solutions:

[0006] A device for pelvic floor muscle assessment and treatment training of the present invention includes a surface electromyogram acquisition module, which is used to acquire the surface electromyogram values of the pelvic floor muscles and the surface electromyogram values of the abdomen; a control and processing module, which receives the electromyogram values acquired by the surface electromyogram acquisition module, analyzes and processes them, and gives a pelvic floor muscle assessment report and the parameters of the electrical stimulation signal; an electrical stimulation treatment module, which outputs electrical stimulation signals with different pulse widths, frequencies, and output current amplitudes; an electromyogram training module, which real-time detects the electromyogram values of the pelvic floor muscles and gives a reference curve for user training; an electromyogram trigger training module, which is electrically connected to the electrical stimulation treatment module and the electromyogram training module respectively. The electromyogram trigger training module adjusts the electrical stimulation signal output by the electrical stimulation treatment module and the reference curve of the electromyogram training module according to the electromyogram values of the pelvic floor muscles real-time detected by the electromyogram training module.

[0007] Among them, the control processing module is electrically connected to the surface electromyogram acquisition module, the electrical stimulation therapy module, the electromyogram training module, and the electromyogram trigger training module respectively.

[0008] In one implementation, the surface electromyogram acquisition module includes a vaginal probe and skin electrodes, both of which are electrically connected to the control processing module; the vaginal probe is placed in the vagina to collect the surface electromyogram value of the pelvic floor muscles; the skin electrodes are pasted on the user's abdomen to collect the surface electromyogram value of the abdomen.

[0009] In one implementation, the data processing module includes a band-pass filter, which preprocesses the electromyogram signal collected by the surface electromyogram acquisition module.

[0010] In one implementation, the high-pass and low-pass cut-off frequencies of the band-pass filter are not higher than 20 Hz and not lower than 500 Hz respectively.

[0011] In one implementation, let the electromyogram value collected by the surface electromyogram acquisition module be x(k), and the electromyogram value after passing through the band-pass filter be y(k):

[0012] Let the effective electromyogram value sampled within a period of time be y, and the number of sampling points be N, then the effective electromyogram value y is calculated as follows:

[0013]

[0014] Then, the corresponding effective electromyogram average value μ and effective electromyogram variation value σ are calculated according to the effective electromyogram value y.

[0015] In one implementation, let there be N effective electromyogram value data y(i) during the evaluation stage, then the calculation formula for the effective electromyogram average value μ is as follows:

[0016]

[0017] The calculation formula for the effective electromyogram variation value σ is as follows:

[0018]

[0019] In one implementation, it further includes a display module, which is electrically connected to the data processing module, and the display content includes the real-time waveform of the electromyogram signal, training guidance, and the evaluation report of the pelvic floor muscle evaluation.

[0020] A method for pelvic floor muscle evaluation and treatment training according to the present invention includes the following steps:

[0021] S1. Collect the myoelectric values of the pelvic floor muscles and the surface myoelectric values of the abdomen through the surface myoelectric acquisition module;

[0022] S2. The control and processing module processes and analyzes the myoelectric values collected by the surface myoelectric acquisition module to obtain a pelvic floor muscle assessment report, evaluates the pelvic floor muscle strength based on various indicators in the pelvic floor muscle assessment report, and decides whether treatment is needed;

[0023] S3. If treatment is needed, the control and processing module calculates the electrical stimulation parameters according to various indicators in the pelvic floor muscle assessment report and the corresponding parameters in the expert database model;

[0024] S4. The electrical stimulation treatment module performs electrical stimulation output according to the calculated electrical stimulation parameters; the myoelectric training module real-time detects the myoelectric values of the pelvic floor muscles and guides the contraction and relaxation training of the pelvic floor muscles in the form of waveforms; the myoelectric trigger training module combines the electrical stimulation treatment module and the myoelectric training module to receive electrical stimulation treatment while performing pelvic floor muscle training;

[0025] S5. After the treatment is over, the control and processing module performs pelvic floor muscle assessment again to evaluate the treatment effect.

[0026] In one implementation, the control and processing module processes and analyzes the myoelectric values collected by the surface myoelectric acquisition module according to the Glazer assessment method to obtain a pelvic floor muscle assessment report.

[0027] In one implementation, let the parameters of the pelvic floor muscle assessment be P1, P2... Pn, and the electrical stimulation frequency f and pulse width w obtained according to the expert database model are:

[0028] f = β1P1 + β2P2 + … + β n P n + a

[0029] w = γ1P1 + γ2P2 + …… + γ n P n + b

[0030] Where β1, β2... β n , γ1, γ2... γ n , a, b are model parameters.

[0031] Compared with the prior art, the beneficial effects of the device and method for pelvic floor muscle assessment and treatment training of the present invention are:

[0032] The device and method for pelvic floor muscle evaluation and treatment training of the present invention collect the surface electromyogram values of the pelvic floor muscles and the surface electromyogram values of the abdomen through a surface electromyogram acquisition module. The control and processing module analyzes and processes the electromyogram values collected by the surface electromyogram acquisition module, gives a pelvic floor muscle evaluation report and the parameters of the electrical stimulation signal, and controls the electrical stimulation treatment module and the electromyogram training module to perform electrical stimulation treatment while performing pelvic floor muscle training, effectively solving the problem that the existing pelvic floor muscle biofeedback therapeutic instrument is inconvenient to use at home. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0034] Figure 1 is a connection schematic diagram of the device for pelvic floor muscle evaluation and treatment training of the present invention;

[0035] Figure 2 The flow logic diagram of the method for pelvic floor muscle evaluation and treatment training of the present invention;

[0036] Figure 3 is Figure 2 the test item chart of the Glazer evaluation method in the method for pelvic floor muscle evaluation and treatment training of the present invention as shown;

[0037] The labels in the figure: 11, surface electromyogram acquisition module; 12, control and processing module; 13, electrical stimulation treatment module; 14, electromyogram training module; 15, electromyogram trigger training module; 16, display module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0039] Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents the selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0040] Please refer toFigure 1 As shown in the figure, a device for pelvic floor muscle assessment and treatment training according to the present invention mainly includes a surface electromyogram acquisition module 11, a control and processing module 12, an electrical stimulation treatment module 13, an electromyogram training module 14, an electromyogram-triggered training module 15, and a display module 16; the surface electromyogram acquisition module 11 is used to acquire the surface electromyogram value of the pelvic floor muscle and the surface electromyogram value of the abdomen; the control and processing module 12 is electrically connected to the surface electromyogram acquisition module 11, the electrical stimulation treatment module 13, the electromyogram training module 14, the electromyogram-triggered training module 15, and the display module 16 respectively. The control and processing module 12 receives the electromyogram value acquired by the surface electromyogram acquisition module 11, analyzes and processes it, gives a pelvic floor muscle assessment report, analyzes and interprets the assessment report, and gives suggestions and plans for the user's subsequent pelvic floor muscle treatment; the electrical stimulation treatment module 13 is used to output electrical stimulation signals with different pulse widths, frequencies, and output current amplitudes to electrically stimulate the pelvic floor muscle of the user; the electromyogram training module 14 is used to detect the electromyogram value of the user's pelvic floor muscle in real time and display it in the form of a waveform, and gives a reference curve for the user's training. The user performs actions such as contraction and relaxation of the pelvic floor muscle according to relevant prompts to achieve the training effect; the electromyogram-triggered training module 15 is electrically connected to the electrical stimulation treatment module 13 and the electromyogram training module 14 respectively. It adjusts the electrical stimulation signal output by the electrical stimulation treatment module 13 and the reference curve of the electromyogram training module 14 according to the electromyogram value of the user's pelvic floor muscle detected by the electromyogram training module 14 in real time, so that the user can perform electrical stimulation treatment while performing pelvic floor muscle training to achieve a better effect; the display module 16 is used to display various information to the user. The display content includes the real-time waveform of the electromyogram signal, training guidance, and the pelvic floor muscle assessment report. The user can operate according to the prompts of the display module to ensure the correctness and effectiveness of the treatment and training.

[0041] Please refer to Figure 1 As shown in the figure, in this embodiment, the surface electromyogram acquisition module 11 includes a vaginal probe and skin electrodes. The vaginal probe and the skin electrodes are electrically connected to the control and processing module 12 respectively; the vaginal probe is responsible for acquiring the surface electromyogram value of the pelvic floor muscle. It is a non-invasive device. When in use, it is placed in the vagina to capture the minute changes of the pelvic floor muscle; the skin electrodes are used to acquire the surface electromyogram value of the abdomen. When in use, they are pasted on the abdomen of the user to assist in evaluating the functional state of the pelvic floor muscle.

[0042] Please refer to Figure 1As shown, in this embodiment, the data processing module 12 calculates and analyzes the myoelectric data collected by the surface electromyogram acquisition module 11; the data processing module 12 preprocesses the collected myoelectric signals through a band-pass filter to remove noise and irrelevant signals. The high-pass and low-pass cut-off frequencies of the band-pass filter are respectively not higher than 20 Hz and not lower than 500 Hz to ensure the accuracy and reliability of the myoelectric signals. Let the myoelectric value collected by the surface electromyogram acquisition module 11 be x(k), and the myoelectric value after passing through the band-pass filter be y(k):

[0043]

[0044] The filtered myoelectric signals need to further calculate the effective value of the myoelectric signals; let the effective value of the myoelectric signals sampled within a period of time be y, and the number of sampling points be N, then the calculation of the effective value of the myoelectric signals y is as follows:

[0045]

[0046] Based on the effective value of the myoelectric signals y, the corresponding effective average value μ and effective variation value σ of the myoelectric signals are calculated; the effective average value μ of the myoelectric signals is used to evaluate the activity intensity of the pelvic floor muscles; the effective variation value σ of the myoelectric signals is used to evaluate the stability of the pelvic floor muscles;

[0047] Let there be N effective myoelectric value data y(i) during the evaluation stage, then the calculation formula for the effective average value μ of the myoelectric signals is as follows:

[0048]

[0049] The calculation formula for the effective variation value σ of the myoelectric signals is as follows:

[0050]

[0051] Please refer to Figure 1 As shown, in this embodiment, the electrical stimulation treatment module 13 outputs electrical stimulations with different pulse widths, frequencies, and intensities according to the analysis results of the data processing module 12 to perform electrical stimulation treatment on the pelvic floor muscles of the patient; electrical stimulation treatment is a non-invasive treatment method that enhances muscle strength and endurance and improves the function of the pelvic floor muscles by stimulating the pelvic floor muscles.

[0052] Please refer to Figure 2 As shown, a method for pelvic floor muscle evaluation and treatment training of the present invention includes the following steps:

[0053] S1, collecting the myoelectric values of the pelvic floor muscles and the surface myoelectric values of the abdomen through the surface electromyogram acquisition module 11;

[0054] S2. The control and processing module 12 processes and analyzes the myoelectric values collected by the surface myoelectric acquisition module 11 to obtain a pelvic floor muscle assessment report, evaluates the pelvic floor muscle strength based on the various indicators in the pelvic floor muscle assessment report, and decides whether treatment is needed. Specifically, the control and processing module 12 processes and analyzes the myoelectric values collected by the surface myoelectric acquisition module 11 according to the Glazer assessment method to obtain a pelvic floor muscle assessment report (the report format is as shown in Figure 3 ), determines the specific situation of the pelvic floor muscle strength, including the following specific steps:

[0055] S21. The control and processing module 12 calculates the parameters of the five stages of the Glazer assessment, namely pre - rest, fast muscle, slow muscle, endurance test, and post - rest, for the myoelectric values collected by the surface myoelectric acquisition module 11. For each stage, the corresponding myoelectric effective average value μ and myoelectric effective variation value σ are calculated based on the myoelectric effective value y.

[0056] S22. The control and processing module 12 then compares the various indicators in the assessment report with the reference values to evaluate the pelvic floor muscle strength and decides whether treatment is needed. If treatment is needed, proceed to step S3; if not, stop.

[0057] S3. If treatment is needed, the control and processing module 12 calculates the electrical stimulation parameters based on the various indicators in the pelvic floor muscle assessment report and the corresponding parameters in the expert database model. Specifically, let the parameters of the pelvic floor muscle assessment be P1, P2... Pn, and the electrical stimulation frequency f and pulse width w obtained from the expert database model are:

[0058] f = β1P1 + β2P2 + … + β n P n + a

[0059] w = γ1P1 + γ2P2 + … + γ n P n + b

[0060] where β1, β2…β n , γ1, γ2…γ n , a, and b are model parameters. The expert database model parameters are statistically analyzed using the existing pelvic floor muscle assessment data and the corresponding electrical stimulation treatment plan parameters. Methods such as machine learning, maximum likelihood estimation, decision tree, or random forest can be selected to solve the parameter values.

[0061] S4. The electrical stimulation treatment module 13 performs electrical stimulation output according to the calculated electrical stimulation parameters; the myoelectric training module 14 real - time detects the pelvic floor muscle myoelectric values and guides the contraction and relaxation training of the pelvic floor muscles in the form of waveforms; the myoelectric trigger training module 15 combines the electrical stimulation treatment module 13 and the myoelectric training module 14 to receive electrical stimulation treatment while performing pelvic floor muscle training.

[0062] After the treatment in S5, the control processing module 11 performs a pelvic floor muscle assessment again to evaluate the treatment effect. Specifically, according to the assessment result, if the treatment effect reaches the standard, the treatment can be ended; if the treatment effect does not reach the standard, the control processing module 11 will automatically adjust the electrical stimulation parameters according to the pelvic floor muscle assessment and perform optimized electrical stimulation treatment again.

[0063] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0064] The above-described embodiments only represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention patent shall be subject to the appended claims.

Claims

1. A device for pelvic floor muscle assessment and treatment training, characterized in that: include: Surface electromyography acquisition module, which is used to collect surface electromyography values ​​of pelvic floor muscles and abdominal surface electromyography values; A control processing module receives the electromyographic values ​​collected by the surface electromyographic acquisition module, performs analysis and processing, and provides a pelvic floor muscle assessment report and parameters of the electrical stimulation signal; An electrical stimulation therapy module that outputs electrical stimulation signals with different pulse widths, frequencies, and output current amplitudes; The electromyography training module detects the electromyography value of the pelvic floor muscles in real time and provides a reference curve for user training; an electromyography triggering training module, which is electrically connected to the electrostimulation treatment module and the electromyography training module, respectively, and the electromyography triggering training module adjusts the electrostimulation signal output by the electrostimulation treatment module and the reference curve trained by the electromyography training module according to the electromyography value of the pelvic floor muscles detected in real time by the electromyography training module; Wherein, the control processing module is electrically connected to the surface electromyography acquisition module, the electrical stimulation treatment module, the electromyography training module, and the electromyography triggering training module respectively.

2. A pelvic floor muscle assessment and treatment training device according to claim 1, characterized in that: The surface electromyography acquisition module includes a vaginal probe and a skin electrode, both of which are electrically connected to the control processing module respectively; the vaginal probe is placed in the vagina to collect the surface electromyography values ​​of the pelvic floor muscles; the skin electrode is attached to the user's abdomen to collect the abdominal surface electromyography values.

3. A pelvic floor muscle assessment and treatment training device according to claim 1, characterized in that: The data processing module comprises a bandpass filter, which pre-processes the electromyographic signal collected by the surface electromyographic acquisition module.

4. A pelvic floor muscle assessment and treatment training device according to claim 3, characterized in that: The high-pass and low-pass cut-off frequencies of the band-pass filter are not higher than 20 Hz and not lower than 500 Hz, respectively.

5. A pelvic floor muscle assessment and treatment training device according to claim 4, characterized in that: Assume that the electromyographic value collected by the surface electromyographic acquisition module is x(k), and the electromyographic value after passing through the bandpass filter is y(k): Assume that the effective value of myoelectricity sampled within a period of time is y, and the number of sampling points is N, then the effective value of myoelectricity y is calculated as follows: Then, the corresponding myoelectric effective average value μ and myoelectric effective variation value σ are calculated based on the myoelectric effective value y.

6. A pelvic floor muscle assessment and treatment training device according to claim 5, characterized in that: Assuming that there are N EMG effective value data y(i) in the evaluation stage, the calculation formula of the EMG effective average value μ is as follows: The calculation formula of myoelectric effective variation value σ is as follows:

7. The device for pelvic floor muscle assessment and treatment training according to claim 1, characterized in that: It further includes a display module, which is electrically connected to the data processing module, and displays content including real-time waveforms of electromyographic signals, training guidance, and pelvic floor muscle assessment reports.

8. A method for pelvic floor muscle assessment and therapeutic training, applied to a pelvic floor muscle assessment and therapeutic training device as claimed in claim 6, characterized in that: The steps include: S1, collecting pelvic floor muscle EMG values ​​and abdominal surface EMG values ​​through the surface EMG acquisition module; S2, the control processing module processes and analyzes the electromyographic values ​​collected by the surface electromyographic acquisition module to obtain a pelvic floor muscle assessment report, evaluates the pelvic floor muscle strength according to the various indicators in the pelvic floor muscle assessment report, and determines whether treatment is needed; S3, if treatment is needed, the control processing module calculates the electrical stimulation parameters according to the indicators in the pelvic floor muscle assessment report and the corresponding parameters in the expert library model; S4, the electrical stimulation treatment module performs electrical stimulation output according to the calculated electrical stimulation parameters; the electromyography training module detects the electromyography value of the pelvic floor muscles in real time, and guides the contraction and relaxation training of the pelvic floor muscles in a waveform manner; the electromyography triggering training module combines the electrical stimulation treatment module and the electromyography training module to perform pelvic floor muscle training while receiving electrical stimulation treatment; S5, after the treatment is completed, the control processing module performs pelvic floor muscle assessment again to evaluate the treatment effect.

9. A method for pelvic floor muscle assessment and treatment training according to claim 8, characterized in that: The control processing module processes and analyzes the electromyographic values ​​collected by the surface electromyographic acquisition module according to the Glazer evaluation method to obtain a pelvic floor muscle evaluation report.

10. A method for pelvic floor muscle assessment and treatment training according to claim 8, characterized in that: Assuming that the parameters of pelvic floor muscle assessment are P1, P2, ..., Pn, the electrical stimulation frequency f and pulse width w obtained according to the expert library model are: f=β1P1+β2P2+…+β n P n +a w=γ1P1+γ2P2+…γ n P n +b Among them, β1, β2...β n ,γ1,γ2...γ n , a, and b are model parameters.

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