Active training device and method for pelvic floor magnetic stimulation

Abstract

The invention provides an active training device and method for pelvic floor magnetic stimulation, and the device comprises a control module, and a sitting posture detection module and an evaluation module which are electrically connected with the control module, and the evaluation module and the control module are electrically connected with a pelvic floor muscle sensing module, a compensation sensing module and a sitting posture sensing module at the same time. The compensation sensing module and the sitting posture sensing module are electrically connected with the sitting posture detection module, the control module is electrically connected with a magnetic stimulation host, and the magnetic stimulation host is connected with a magnetic coil; muscle compensation is avoided, and real active rehabilitation is achieved.

Description

Technical Field

[0001] This invention relates to the field of rehabilitation training technology, and in particular to an active training device and method for pelvic floor magnetic stimulation. Background Technology

[0002] Pelvic floor disorders refer to functional impairments caused by damage to the pelvic floor muscles, ligaments, or nerves, encompassing a variety of problems such as urinary incontinence, pelvic organ prolapse (POP), chronic pelvic pain, sexual dysfunction, and bowel dysfunction. In recent years, with population aging, lifestyle changes, and increased health awareness, the incidence and attention given to pelvic floor disorders have increased significantly, but their diagnosis and treatment still face many challenges. Globally, approximately 25%-40% of women suffer from pelvic floor disorders (e.g., stress urinary incontinence prevalence is about 30%, and pelvic organ prolapse is about 10%-20%), with postpartum women, women with multiple pregnancies, and postmenopausal women at higher risk. Among women over 60 years of age, approximately 50% have varying degrees of pelvic floor dysfunction. The incidence of urinary incontinence after prostate cancer surgery in men is 5%-30%, but male pelvic floor disorders have long been neglected. Current main rehabilitation training methods include Kegel exercises, biofeedback therapy, electrical stimulation therapy, and magnetic stimulation therapy. Among these, magnetic stimulation is more popular due to its non-invasive, non-contact nature and strong penetrating power. However, most products on the market currently provide passive magnetic stimulation and cannot perform active training. Some products use air pressure sensors to measure changes in gas pressure in an airbag placed below the pelvic floor muscles, but they cannot distinguish whether the pressure changes are due to compensation from other muscles. Chinese patent document CN112546448 A discloses a "pelvic floor magnetic stimulation therapy device and method combining active and passive stimulation". The device and method include: a pelvic floor muscle signal acquisition cushion, a stimulation host, and a stimulation seat. The stimulation seat has a raised central section containing a pelvic floor muscle signal sensor that conforms to the perineal muscles. This sensor transmits feedback signals based on changes in pelvic floor muscle contraction. A stimulation coil, located below the pelvic floor muscle signal sensor, is installed inside the stimulation seat to generate a pulsed magnetic field. The pelvic floor muscle signal sensor is electrically connected to a signal amplifier to amplify the feedback signal. The signal amplifier is connected to a control module, which in turn is connected to the stimulation host that generates pulsed current. The stimulation host is connected to the stimulation coil via a stimulation connection line. This invention allows patients to actively contract their pelvic floor muscles using a combination of biofeedback and pelvic floor electrical stimulation for active pelvic floor muscle contraction training. However, the above technical solution only uses the pressure changes of the raised pelvic floor muscle signal sensor in the center of the cushion as the basis for active control. If other muscles compensate (such as the gluteus maximus), it can create a false impression of pelvic floor muscle movement, triggering magnetic stimulation and preventing true active rehabilitation. Summary of the Invention

[0003] This invention solves the problem that patients with pelvic floor disorders cannot perform active rehabilitation training. It proposes an active training device and method for pelvic floor magnetic stimulation, which avoids muscle compensation and achieves true active rehabilitation.

[0004] To achieve the above objectives, the following technical solution is proposed: An active training device for pelvic floor magnetic stimulation includes a control module and a sitting posture detection module and an evaluation module electrically connected to the control module. The evaluation module and the control module are also electrically connected to a pelvic floor muscle sensing module, a compensation sensing module, and a sitting posture sensing module. The compensation sensing module and the sitting posture sensing module are both electrically connected to the sitting posture detection module. The control module is electrically connected to a magnetic stimulation host, and the magnetic stimulation host is connected to a magnetic coil.

[0005] Before training, this invention detects the patient's sitting posture using a posture sensor and prompts the patient to adjust their posture via a control module and an audiovisual feedback module. During assessment, in addition to real-time posture detection, the pelvic floor muscle sensing module 1 detects the contraction and relaxation of the pelvic floor muscles, and the compensation sensing module detects the contraction and relaxation of the compensation areas. If compensation is significant, the patient needs to be educated on how to properly exert force, and a reassessment is required. After the assessment, the overall assessment quality is determined. If the assessment quality is high, it is considered effective; if the assessment quality is poor, a reassessment is recommended. During training, when the patient maintains a correct sitting posture and does not use other muscle compensations, if the pelvic floor muscle contraction reaches a threshold, the control module controls the magnetic stimulation host and magnetic coil to operate, allowing the alternating magnetic field to act on the body, achieving active training and accelerating the rehabilitation process.

[0006] Preferably, the posture detection module, the evaluation module, and the control module are all connected to an audiovisual feedback module.

[0007] Preferably, the audiovisual feedback module includes a display, projector, speaker, or VR glasses.

[0008] Preferably, the pelvic floor muscle sensing module is electrically connected to the evaluation module and the control module through a first signal decoding module, the compensation sensing module is electrically connected to the sitting posture detection module, the evaluation module, and the control module through a second signal decoding module, and the sitting posture sensing module is electrically connected to the sitting posture detection module, the evaluation module, and the control module through a third signal decoding module.

[0009] Preferably, the pelvic floor muscle sensing module, the compensation sensing module, and the sitting posture sensing module all include a pressure transmission module and a sensor. The pressure transmission module includes a linkage structure, an air bladder, or a liquid bladder, and the sensor includes a pneumatic sensor, a hydraulic sensor, a pressure film sensor, a flow sensor, or a torque sensor.

[0010] Preferably, the magnetic coil includes a circular coil, a figure-eight coil, or a cloverleaf coil.

[0011] An active training method for pelvic floor magnetic stimulation, employing the aforementioned active training device for pelvic floor magnetic stimulation, includes the following steps: S1, pre-establish a sitting posture calculation model and a pelvic floor contraction calculation model for each patient; S2: Obtain the detection data from the compensation sensor module and the posture sensor module, and determine whether the patient's posture is correct based on the posture calculation model. If yes, proceed to S3; otherwise, prompt the patient to adjust their posture and return to S2. S3, start training, obtain detection data from the pelvic floor muscle sensing module. When the sitting posture is correct and there is no muscle compensation, determine whether the pelvic floor muscle strength has reached the threshold based on the pelvic floor contraction model. If yes, proceed to S4; otherwise, prompt the pelvic floor muscles to exert force and return to S3. S4: Start magnetic stimulation and continue for the set time. Determine if the total stimulation time has reached the set duration. If yes, end the training. If no, return to S3.

[0012] Preferably, the process of constructing the pelvic floor contraction model for each patient specifically includes the following steps: S11, initiate pelvic floor muscle assessment, and collect detection data from the pelvic floor muscle sensing module and compensation sensing module in the contraction and relaxation states of the patient's pelvic floor muscles, provided that the patient's sitting posture is correct. S12: Use the detection data from the pelvic floor muscle sensing module and the compensation sensing module to determine whether the evaluation quality meets the standard. If yes, record the optimal trigger threshold of the pelvic floor muscles. If no, prompt the correct force application and return to S11.

[0013] Preferably, the posture calculation model determines the user's posture by comparing the symmetry of the sensor signals on the left and right sides.

[0014] Preferably, the process of determining whether the pelvic floor muscle strength has reached the threshold based on the pelvic floor contraction model is as follows: The pelvic floor contraction model is substituted into the active movement scoring model. The active movement scoring model is used to calculate the active movement score of the training subjects. When the active movement score exceeds the preset value, it is determined that the pelvic floor muscle strength has reached the threshold.

[0015] The beneficial effects of this invention are as follows: Before training, the invention detects the patient's sitting posture using a posture sensor and prompts the patient to adjust their posture through a control module and an audiovisual feedback module. During assessment, in addition to real-time posture detection, the pelvic floor muscle sensing module 1 detects the contraction and relaxation of the pelvic floor muscles, and the compensation sensing module detects the contraction and relaxation of the compensation areas. If compensation is significant, the patient needs to be educated on how to properly exert force, and a reassessment is required. After the assessment, the overall assessment quality is determined. If the assessment quality is high, the assessment is considered effective; if the assessment quality is poor, a reassessment is recommended. During training, when the patient maintains a correct sitting posture and does not use other muscle compensation, if the pelvic floor muscle contraction reaches a threshold, the control module controls the magnetic stimulation host and magnetic coil to operate, allowing the alternating magnetic field to act on the human body, achieving active training and accelerating the rehabilitation process. Attached Figure Description

[0016] Figure 1 This is a diagram illustrating the device configuration of the present invention.

[0017] Figure 2 This is the sensor layout of the present invention.

[0018] Figure 3 This is a flowchart of the method of the present invention.

[0019] The module includes: 1. Pelvic floor muscle sensing module; 2. Compensation sensing module; 3. Posture sensing module; 4. First signal decoding module; 5. Second signal decoding module; 6. Third signal decoding module; 7. Posture detection module; 8. Evaluation module; 9. Control module; 10. Audiovisual feedback module; 11. Magnetic stimulation host; 12. Magnetic coil; 101. First pelvic floor muscle sensing module; 102. Second pelvic floor muscle sensing module; 21. First compensation sensing module; 22. Second compensation sensing module; 23. Third compensation sensing module; 24. Fourth compensation sensing module; 31. First posture sensing module; 32. Second posture sensing module; 33. Third posture sensing module; 34. Fourth posture sensing module; 35. Fifth posture sensing module; 36. Sixth posture sensing module. Detailed Implementation

[0020] Example: This embodiment proposes an active training device and method for pelvic floor magnetic stimulation, such as... Figure 1As shown, the system includes a pelvic floor muscle sensing module 1, a compensation sensing module 2, a posture sensing module 3, a first signal decoding module 4, a second signal decoding module 5, a third signal decoding module 6, a posture detection module 7, an evaluation module 8, a control module 9, an audiovisual feedback module 10, a magnetic stimulation host 11, and a magnetic coil 12. The signal from the pelvic floor muscle sensing module 1 is input to the first signal decoding module 4, which then inputs the decoded feature information to the evaluation module 8 and the control module 9. The signal from the compensation sensing module 2 is input to the second signal decoding module 5, which then inputs the decoded feature information to the posture detection module 7, the evaluation module 8, and the control module 9. The signal from the posture sensing module 2 is input to the third signal decoding module 6, which then inputs the decoded feature information to the posture detection module 7, the evaluation module 8, and the control module 9. After obtaining the feature information, the control module 9 provides feedback to the user and therapist through the audiovisual feedback module 10. During posture detection, the posture detection module collects the feature information decoded by the second signal decoding module 5 and the third signal decoding module 6, and provides feedback to the user and therapist through the audiovisual feedback module 10, prompting the user to adopt the correct posture. During assessment, the assessment module 7 collects the feature information decoded by the first signal decoding module 4, the second signal decoding module 5, and the third signal decoding module 6, and provides feedback to the user and therapist through the audiovisual feedback module 10. After the assessment, a pelvic floor contraction model is established and stored based on the user's different rest and contraction states, and the model is transmitted to the control module 9. During active training, the control module 9 collects the feature information decoded by the first signal decoding module 4, the second signal decoding module 5, and the third signal decoding module 6, and compares it with the pelvic floor contraction model to determine whether the patient's posture is correct, whether there is other muscle compensation, and whether the pelvic floor has contracted with sufficient intensity. Feedback is provided to the user and therapist through the audiovisual feedback module 10. At the same time, if the patient's active training reaches the model threshold, the control module 9 controls the magnetic stimulation host 11 to deliver alternating current. The current generates an alternating magnetic field through the magnetic coil 12, which acts on the human body.

[0021] The magnetic stimulation chair is equipped with sensors in different locations: pelvic floor muscle sensing module 1, compensation sensing module 2, and posture sensing module 3. Pelvic floor muscle sensing module 1 is installed in the middle of the chair. When in use, the patient's pelvic floor muscles are in close contact with pelvic floor muscle sensing module 1. When the patient's pelvic floor muscles contract, pelvic floor muscle sensing module 1 collects and transmits the changing signals. Compensation sensing module 2 is installed under the buttocks and on the inner thighs. When the patient needs to contract their pelvic floor muscles, compensation sensing module 2 continuously detects signal changes. If the patient compensates by exerting force through the gluteus maximus and adductor iliac muscles, compensation sensing module 2 can collect and transmit the changing signals. Posture sensing module 3 is installed under the thighs and on the backrest, collecting signals from both sides of the patient. By combining with compensation sensing module 2, it can detect and transmit signals such as changes in the patient's posture and center of gravity shift. The pelvic floor muscle sensing module 1, compensation sensing module 2, and posture sensing module 3 are connected to the control unit after their respective signal decoders, feeding back signals to the control module. The control module simultaneously sends signals to the audiovisual feedback module, which then feeds the information back to the patient and therapist. A magnetic coil is installed under the magnetic stimulation chair and connected to the magnetic stimulation host. When the host transmits a pulsed current to the magnetic coil, the coil generates a pulsed magnetic field that acts on the body. The host is connected to the control module, which can control the start time, duration, end time, magnetic field frequency, and magnetic field strength of the pulsed current generated by the host. During active training, information from the pelvic floor muscle sensing modules 1, compensation sensing module 2, and posture sensing module 3 regarding the pelvic floor muscle contraction is collected beforehand to establish a contraction and relaxation model. During training, information from posture sensing module 3 determines whether the sitting posture is correct, information from compensation sensing module 2 determines whether there is other muscle compensation, and pelvic floor muscle module 1 determines whether the pelvic floor muscles are actively contracting. When the posture sensor module 3 indicates incorrect posture, it reminds the patient to maintain the correct posture. When the compensation sensor module 2 shows a clear patient compensation signal, it reminds the patient not to compensate with other muscles. If the patient's posture is correct and there is no muscle compensation, when the signal from the pelvic floor muscle sensor module 1 exceeds the established model, the control module controls the magnetic stimulation host to generate a pulse current at a preset frequency and intensity. After the pulse current passes through the magnetic coil, it acts on the human body to promote pelvic floor muscle contraction. Throughout the entire process, the audiovisual feedback module provides the user with feedback on the operation of the sensors and the magnetic stimulation host, and provides prompts to the user.

[0022] The pelvic floor muscle sensing module 1, compensation sensing module 2, and posture sensing module 3 include a pressure transmission module and sensors. They convert the collected signals into digital signals and send the signals to a signal decoding module. The pressure sensing module can be a linkage structure, an air bladder, a liquid bladder, etc., generally an air bladder or a liquid bladder. The sensors can be air pressure sensors, hydraulic sensors, pressure diaphragm sensors, flow sensors, torque sensors, etc., generally air pressure sensors or hydraulic sensors. The pelvic floor muscle sensing module 1 includes a first pelvic floor muscle sensing module 101 and a second pelvic floor muscle sensing module 102. The compensation sensing module 2 includes a first compensation sensing module 21, a second compensation sensing module 22, a third compensation sensing module 23, and a fourth compensation sensing module 24. The posture sensing module 3 includes a first posture sensing module 31, a second posture sensing module 32, a third posture sensing module 33, and a fourth posture sensing module 34 disposed on the bottom surface of the seat, and a sensor disposed on the back of the seat. The arrangement of the fifth sitting posture sensing module 35 and the sixth sitting posture sensing module 36, the first pelvic floor muscle sensing module 101, the second pelvic floor muscle sensing module 102, the first compensation sensing module 21, the second compensation sensing module 22, the third compensation sensing module 23, the fourth compensation sensing module 24, the first sitting posture sensing module 31, the second sitting posture sensing module 32, the third sitting posture sensing module 33, the fourth sitting posture sensing module 34, the fifth sitting posture sensing module 35, and the sixth sitting posture sensing module 36 is as follows: Figure 2 The first signal decoding module 4, the second signal decoding module 5, and the third signal decoding module 6 process and extract features from the original signal. Generally, they use common signal analysis and processing methods such as Fast Fourier Transform, Butterworth filter, and Chebyshev filter to preprocess the signal and extract information in the time and frequency domains.

[0023] The posture detection module 7 receives information from the second signal decoding module 5 and the third signal decoding module 6, and outputs the information to the control audiovisual feedback module 10. The posture detection module 7 can be a computer host, control motherboard, etc., and can run operating systems such as Windows, Linux, and Android.

[0024] Evaluation module 8 receives information from the first signal decoding module 4, the second signal decoding module 5, and the third signal decoding module 6. The information from evaluation module 8 is output to the control audiovisual feedback module 10, and the evaluated model is output to the control module 9. Evaluation module 8 can be a computer host, control motherboard, etc., and can run operating systems such as Windows, Linux, and Android.

[0025] The control module 9 receives information from the first signal decoding module 4, the second signal decoding module 5, the third signal decoding module 6, the evaluation module 7, and the evaluation module 8. After processing, the collected information by the control module 9 outputs control signals to control the audiovisual feedback module 10 and the magnetic stimulation host 11. The control module can be a computer host, a control motherboard, etc., and can run operating systems such as Windows, Linux, and Android.

[0026] The audiovisual feedback module 10 includes a display, projector, speakers (headphones), VR glasses, etc.; among which, visual feedback includes images of body movements, model examples, expert guidance, etc. provided by the computer, or movements presented using virtual reality technology, etc.; auditory feedback includes movement voice guidance provided by the system, start and stop prompts, success or failure feedback, etc.

[0027] The magnetic stimulation unit 11 is a device that generates a pulse current of a specific frequency and intensity; existing conventional magnetic stimulation units can be selected. The magnetic coil 12 is a device that generates a specific pulsed magnetic field after the pulse current passes through it; existing conventional circular coils, figure-eight coils, cloverleaf coils, etc., can be selected.

[0028] This embodiment also proposes an active training method for pelvic floor magnetic stimulation, employing the aforementioned active training device for pelvic floor magnetic stimulation, with reference to... Figure 3 This includes the following steps: S1, pre-establish a sitting posture calculation model and a pelvic floor contraction calculation model for each patient; The sitting posture detection module 7 stores the correct sitting posture calculation model; based on the sitting posture sensor and compensation sensor data collected over a period of time, preprocessing including bandpass filtering with 50Hz power frequency notch is performed to obtain the preprocessed data, and the characteristic data corresponding to each sensor is calculated. The characteristics include: average value, standard deviation, average value, standard deviation, power spectral density, asymmetry coefficient, etc.

[0029] The characteristic of the posture sensor signal collected during posture detection is F. posture The characteristics of the collected compensating sensor signal are F. comp By comparing the F values ​​on the left and right sides posture and F comp It can calculate the left-right symmetry value F of sitting posture. PSI By using the empirical threshold T PSI-EXP Comparison of the left-right symmetry value F of sitting posture PSI Above the empirical threshold T PSI-EXP Then you need to adjust your sitting posture, and the left-right symmetry value F of your sitting posture. PSI Below the empirical threshold T PSI-EXP The sitting posture is considered good; the left-right symmetry value F of the sitting posture is considered good. PSIThe value is: Among them, F PSI F represents the left-right symmetry value of the sitting posture. posture-left The signal characteristics of the left-side posture sensor; F posture-right The signal characteristics of the right-side posture sensor; F comp-left The signal characteristics of the left-side compensating sensor; F comp-right The signal characteristics of the right-side compensating sensor; h i Here, represents the coefficients for each sensor channel, and n represents the number of sensor channels. a1 is the characteristic coefficient of the posture sensor, a2 is the characteristic coefficient of the compensation sensor; the sum of a1 and a2 is 1; m is the data length.

[0030] The system collects signals from the user compensation sensing module 2 and the posture sensor, and compares the symmetry of the sensor signals on both sides to determine the user's posture. For example, it compares the symmetry of the sensor signals corresponding to the left and right gluteus maximus muscles, the lower left and right thighs, the left and right backrests, and the inner left and right thighs. These comparisons are then input into the left-right symmetry calculation model to calculate the left-right symmetry value F of the posture. PSI The left-right symmetry value F of sitting posture PSI With the empirical threshold T PSI-EXP Comparison, if F PSI Greater than the empirical threshold T PSI-EXP If F PSI Less than or equal to the empirical threshold T PSI-EXP If the user's posture is correct, then it is assumed that no adjustment is needed.

[0031] Signals from pelvic floor muscle sensing module 1 and compensation sensing module 2 are collected from the user during pelvic floor muscle contraction / relaxation and at rest. A pelvic floor contraction calculation model is established and stored. The correct pelvic floor contraction calculation model is stored in evaluation module 8. Based on the sensor data collected over a period of time, preprocessing is performed, including bandpass filtering with a 50Hz power frequency notch, to obtain the preprocessed data. The characteristic data corresponding to each sensor is calculated, including: mean, standard deviation, power spectral density, and asymmetry coefficient.

[0032] During the assessment, data was collected from the user's pelvic floor muscle sensing module 1 and compensatory sensing module 2. The patient was prompted to contract and relax their pelvic floor muscles alternately via an audiovisual feedback module. The signal characteristics collected by the pelvic floor muscle sensing module 1 and compensatory sensing module 2 during contraction and rest were compared. The signal characteristics collected by compensatory sensing module 2 during contraction were F.comp-work The signal characteristics collected by the compensating sensor module 2 during rest are F. comp-rest If F comp-work With F comp-rest The difference is greater than the empirical threshold T comp-EXP If the patient exhibits muscle compensation during the assessment, it is considered that the patient needs to be educated on proper muscle exertion and reassessed; if F comp-work With F comp-rest The difference is less than the empirical threshold F comp-EXP If the signal is weak or absent, it is considered that there is no muscle compensation or the compensation is minimal, and the assessment result is reliable. The signal characteristics acquired by pelvic floor muscle sensing module 1 during contraction are F... pfm-work The signal characteristics collected by pelvic floor muscle sensing module 1 during rest are F. pfm-rest By comparing F pfm-work and F pfm-rest The optimal trigger threshold T for the pelvic floor muscles can be calculated. pfm Comprehensive F comp-work F comp-rest F pfm-work and F pfm-rest The evaluation quality Q can be calculated. assess If the evaluation quality is high, the evaluation is considered valid; if the evaluation quality is poor, a re-evaluation is recommended.

[0033] Calculation model T for pelvic floor contraction assess Given a matrix with the following values: T assess =[T comp-EXP T pfm ] Among them, T assess For the pelvic floor contraction model, T comp-EXP An empirical threshold for the characteristics of the compensatory site; T pfm The optimal trigger threshold for the pelvic floor muscles; a1 is the characteristic coefficient when the pelvic floor muscles are contracted, and a2 is the characteristic coefficient when the pelvic floor muscles are relaxed; F pfm-work Signal characteristics during pelvic floor contraction; F pfm-rest Signal characteristics during pelvic floor rest; h i Here, represents the coefficients for each sensor channel, and n represents the number of sensor channels. m is the data length.

[0034] In this invention, when the sensor collects information, the signal acquisition during pelvic floor muscle contraction or resting state will be carried out for a certain period of time, so there will be a certain data length, thus enabling the feature information of different states to be obtained more completely and avoiding omissions.

[0035] Pelvic floor assessment quality Q assess The value is: Among them, Q assess To assess the quality of the pelvic floor; F pfm-work The signal characteristics of pelvic floor muscle sensing module 1 during pelvic floor contraction; F pfm-rest Signal characteristics of pelvic floor muscle sensing module 1 during pelvic floor rest; F comp-work The signal characteristics of pelvic floor muscle sensing module 1 during pelvic floor contraction; F comp-rest Signal characteristics of pelvic floor muscle sensing module 1 during pelvic floor rest; h i Here, represents the coefficients for each sensor channel, and n represents the number of sensor channels. m is the data length.

[0036] Pelvic floor assessment quality Q assess A higher value indicates better assessment quality (Q). assess The smaller the value, the worse the evaluation quality. Multiple empirical threshold standards for evaluation quality can be set to display the evaluation quality in segments, such as: high, medium, and low.

[0037] During the evaluation process, the system calculates and updates sensor feature results in real time, providing feedback to the trainee through the audiovisual feedback module's display in the form of line graphs, energy maps, games, etc. When the system prompts the trainee to contract, the trainee contracts their pelvic floor muscles; when the system prompts the trainee to relax, the trainee relaxes their body and does not contract their pelvic floor muscles. The evaluation ends when the time is up. After the evaluation, the trainee's characteristics and the optimal pelvic floor contraction threshold given by the system can be viewed. The trainee can adopt the system's optimal pelvic floor contraction threshold based on the results, manually adjust the threshold, or recommend that the trainee undergo another evaluation.

[0038] S2: Obtain the detection data from the compensation sensor module 2 and the posture sensor module 3. Determine whether the patient's posture is correct based on the posture calculation model. If yes, proceed to S3; otherwise, prompt the patient to adjust their posture and return to S2. The system collects signals from user compensation sensor module 2 and posture sensor module 3, analyzes the symmetry of the user's posture and the position of the center of gravity, and ensures that the user's posture is correct.

[0039] S3: Start training and acquire detection data from pelvic floor muscle sensing module 1. When the sitting posture is correct and there is no muscle compensation, determine whether the pelvic floor muscle strength has reached the threshold based on the pelvic floor contraction model. If yes, proceed to S4; otherwise, prompt the pelvic floor muscles to exert force and return to S3. Substitute the pelvic floor contraction model into the active movement scoring model and use the active movement scoring model to calculate the active movement score of the training subject. When the active movement score exceeds the preset value, it is determined that the pelvic floor muscle strength has reached the threshold. S4: Initiate magnetic stimulation and maintain it for a set time, such as once every 5 seconds. Determine if the total stimulation time has reached the set duration, such as 10 minutes. If yes, end the training; otherwise, return to S3. Based on the posture sensor signal, pelvic floor muscle sensor module 1, and compensation sensor module 2, analyze whether the user's posture is correct, whether there are compensating muscles, and whether the pelvic floor muscles are contracting correctly. Once the model threshold is reached, the control module initiates magnetic stimulation, strengthening pelvic floor muscle contraction through a pulsed magnetic field until the training ends. If abnormal posture or muscle compensation occurs during training, the control module provides feedback to the user through the audiovisual feedback module, prompting the user to adjust their posture and exert force correctly.

[0040] The active control model is stored in control module 9: based on sensor data collected over a period of time, preprocessing is performed, including bandpass filtering with a 50Hz power frequency notch, to obtain the preprocessed data. Feature data corresponding to each sensor is calculated, including: mean, standard deviation, average, standard deviation, power spectral density, asymmetry coefficient, etc. The optimal pelvic floor contraction model obtained from the evaluation module is then substituted into the active control model to calculate the active movement score of the training subject. When the score exceeds a preset value, magnetic stimulation is initiated; when the score is below the preset value, the patient is prompted to attempt contraction.

[0041] The active motion scoring model is as follows: Where Score is the active movement assessment score; C is the preset auxiliary score; k1 and k2 are the characteristic coefficients for calculating the compensatory portion and pelvic floor muscle scores; F comp For the signal characteristics of the compensating sensing module 2; F pfm Signal characteristics of pelvic floor muscle sensing module 1; T comp-EXP An empirical threshold for the characteristics of the compensatory site; T pfm The optimal trigger threshold for the pelvic floor muscles; k manual1 and k manual2 The therapist can manually adjust the parameters during use, increasing or decreasing the threshold to increase or decrease the difficulty; m is the data length. h i Here, represents the coefficients for each sensor channel, and n represents the number of sensor channels. The parameters are the same as those used in electromyography assessment; m represents the data length. The preset auxiliary score can be set according to actual needs, and this auxiliary score can be used as a preset score to judge active movement.

[0042] During active training, the posture sensor signal, the compensation sensor module 2, and the pelvic floor muscle sensor module 1 collect signals in real time and calculate the real-time left-right symmetry value F of the posture. PSI-RT Signal characteristics of compensatory sites F comp-RT pelvic floor muscle signal characteristics F pfm-RTThey were then compared with the empirical threshold T for left-right symmetry of sitting posture. PSI-EXP Compensation experience threshold T comp-EXP pelvic floor muscle contraction experience threshold T pfm Comparison. If the left-right symmetry value F of the sitting posture PSI-RT Signal characteristics of compensatory sites F comp-RT All are less than the empirical threshold T for left-right symmetry of sitting posture. PSI-EXP Compensation experience threshold T comp-EXP Simultaneously, pelvic floor muscle signal characteristics F pfm-RT Greater than the empirical threshold T for pelvic floor muscle contraction pfm The control module controls the magnetic stimulation host to generate alternating current, which, after passing through the magnetic coil, produces an alternating magnetic field that acts on the human body to achieve active training; if the left-right symmetry value F of the sitting posture... PSI-RT Signal characteristics of compensatory sites F comp-RT All are greater than the empirical threshold T for left-right symmetry of sitting posture. PSI-EXP Compensation experience threshold T comp-EXP The control module then uses audiovisual feedback to remind the user to adjust their posture and not to use muscles other than the pelvic floor muscles for compensation.

[0043] The specific implementation of the active training device and method for pelvic floor magnetic stimulation of the present invention is as follows: The patient sits comfortably in the treatment chair. The therapist opens the system, selects the corresponding patient, and performs posture detection. The system provides real-time feedback on the status of various sensors and left-right symmetry through audiovisual feedback. The patient adjusts their posture according to the prompts until the requirements are met. If it is the first time using the system or a reassessment is needed, the system enters assessment mode. The therapist starts the assessment, and the system alternately prompts the patient to contract and relax their pelvic floor muscles several times, completing the assessment and obtaining the results. If the assessment results show significant compensation by other muscles or weak pelvic floor muscle activation, the system prompts for a reassessment; if the assessment results are of high quality, the assessment is completed. The therapist initiates active training, and the system prompts the patient to contract their pelvic floor muscles. The sensors simultaneously detect posture, muscle compensation, and pelvic floor muscle activation. If incorrect posture is present, the system prompts the patient to adjust their posture; if other muscle compensation is present, the system prompts the patient not to use other muscles for compensation; if the patient's posture is correct, there is no other muscle compensation, and the pelvic floor muscles are actively engaged, when the score exceeds the threshold, the system initiates magnetic stimulation to stimulate the patient's pelvic floor muscles, while real-time feedback is obtained from the monitor and speakers of the audiovisual feedback module. After a single training session is completed, the system will prompt you to perform pelvic floor contractions until the training is finished.

Claims

1. An active training device for pelvic floor magnetic stimulation, characterized in that, It includes a control module (9) and a sitting posture detection module (7) and an evaluation module (8) electrically connected to the control module (9). The evaluation module (8) and the control module (9) are also electrically connected to a pelvic floor muscle sensing module (1), a compensation sensing module (2), and a sitting posture sensing module (3). The compensation sensing module (2) and the sitting posture sensing module (3) are both electrically connected to the sitting posture detection module (7). The control module (9) is electrically connected to a magnetic stimulation host (11), and the magnetic stimulation host (11) is connected to a magnetic coil (12).

2. The active training device for pelvic floor magnetic stimulation according to claim 1, characterized in that, The sitting posture detection module (7), evaluation module (8), and control module (9) are all connected to an audiovisual feedback module (10).

3. The active training device for pelvic floor magnetic stimulation according to claim 2, characterized in that, The audiovisual feedback module (10) includes a display, projector, audio system, or VR glasses.

4. The active training device for pelvic floor magnetic stimulation according to claim 1, characterized in that, The pelvic floor muscle sensing module (1) is electrically connected to the evaluation module (8) and the control module (9) through the first signal decoding module (4). The compensation sensing module (2) is electrically connected to the sitting posture detection module (7), the evaluation module (8), and the control module (9) through the second signal decoding module (5). The sitting posture sensing module (3) is electrically connected to the sitting posture detection module (7), the evaluation module (8), and the control module (9) through the third signal decoding module (6).

5. An active training device for pelvic floor magnetic stimulation according to claim 1, characterized in that, The pelvic floor muscle sensing module (1), the compensation sensing module (2), and the sitting posture sensing module (3) all include a pressure transmission module and a sensor. The pressure transmission module includes a linkage structure, an air bladder, or a liquid bladder. The sensor includes a pneumatic sensor, a hydraulic sensor, a pressure film sensor, a flow sensor, or a torque sensor.

6. An active training device for pelvic floor magnetic stimulation according to claim 1, characterized in that, The magnetic coil (12) includes a circular coil, a figure-eight coil, or a clover coil.

7. An active training method for pelvic floor magnetic stimulation, employing an active training device for pelvic floor magnetic stimulation as described in any one of claims 1-6, characterized in that, Includes the following steps: S1, pre-establish a sitting posture calculation model and a pelvic floor contraction calculation model for each patient; S2, obtain the detection data of the compensation sensing module (2) and the posture sensing module (3), and determine whether the patient's posture is correct according to the posture calculation model. If yes, proceed to S3; otherwise, prompt to adjust the posture and return to S2. S3, start training, obtain the detection data of the pelvic floor muscle sensing module (1). When the sitting posture is correct and there is no muscle compensation, judge whether the pelvic floor muscle strength has reached the threshold according to the pelvic floor contraction model. If yes, proceed to S4. If no, prompt the pelvic floor muscles to exert force and return to S3. S4: Start magnetic stimulation and continue for the set time. Determine if the total stimulation time has reached the set duration. If yes, end the training. If no, return to S3.

8. The active training method for pelvic floor magnetic stimulation according to claim 7, characterized in that, The process of constructing the pelvic floor contraction model for each patient specifically includes the following steps: S11, start pelvic floor muscle assessment, and collect the detection data of pelvic floor muscle sensing module (1) and compensation sensing module (2) in the contraction and relaxation states of the patient's pelvic floor muscles under the premise that the patient's sitting posture is correct. S12, use the detection data of pelvic floor muscle sensing module (1) and compensation sensing module (2) to determine whether the evaluation quality meets the standard. If yes, record the optimal trigger threshold of pelvic floor muscles. If no, prompt the correct force exertion and return to S11.

9. The active training method for pelvic floor magnetic stimulation according to claim 7, characterized in that, The posture calculation model determines the user's posture by comparing the symmetry of the sensor signals on the left and right sides.

10. The active training method for pelvic floor magnetic stimulation according to claim 7, characterized in that, The process of determining whether pelvic floor muscle strength has reached a threshold based on the pelvic floor contraction model is as follows: The pelvic floor contraction model is substituted into the active movement scoring model. The active movement scoring model is used to calculate the active movement score of the training subjects. When the active movement score exceeds the preset value, it is determined that the pelvic floor muscle strength has reached the threshold.

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