A system for the modulation of pelvic floor dysfunction by pulsed magnetic fields

Abstract

The embodiment of the application discloses a kind of pulse magnetic field regulation and control methods and systems of pelvic floor dysfunction.The technical scheme provided in the embodiment of the application, by introducing the individualized initial scheme matching based on clinical typing, closed-loop regulation based on real-time biological feedback signal, and cross-treatment course treatment scheme self-adaptive adjustment mechanism, so that pulse magnetic field treatment can dynamically respond to the physiological state of current treatment target in real time and continuously optimize according to long-term efficacy, realize the change from static preset to dynamic accurate adaptation, improve the individualized flexibility, accuracy and long-term efficacy stability of treatment, meet the needs of clinical pelvic floor dysfunction efficient, accurate, personalized rehabilitation treatment.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a pulsed magnetic field modulation method and system for pelvic floor dysfunction. Background Technology

[0002] Currently, pulsed magnetic field therapy (PMR) is commonly used to treat pelvic floor dysfunction in pelvic floor muscle rehabilitation. PMR utilizes an external coil to generate a magnetic field of appropriate intensity. This magnetic field penetrates human tissue without attenuation and induces an electric field in the target nerve or muscle area, thereby non-invasively modulating nerve excitability and muscle contraction function. Compared to traditional electrode stimulation, this method has significant advantages such as being painless and non-invasive. When using PMR for pelvic floor dysfunction treatment, the operator typically presets a set of pulsed magnetic field parameters (such as frequency, intensity, and duration) for the patient based on clinical experience, maintaining these parameters throughout the treatment course to achieve pelvic floor dysfunction treatment based on PMR.

[0003] However, treatment plans using fixed pulsed magnetic field parameters are difficult to adapt to different types of patients, resulting in a lack of individualized adaptability in the treatment process and difficulty in achieving precise control. This limits the therapeutic effect of pulsed magnetic field therapy, affecting the maximization of therapeutic effect and the optimization of the treatment cycle. Summary of the Invention

[0004] This application provides a pulsed magnetic field modulation method and system for pelvic floor dysfunction, which can dynamically respond to the patient's real-time physiological state and continuously optimize based on long-term efficacy. It realizes the transformation from static preset to dynamic precise adaptation, improving the individualized flexibility, precision and long-term efficacy stability of treatment.

[0005] In a first aspect, embodiments of this application provide a pulsed magnetic field modulation method for pelvic floor dysfunction, comprising: Obtain clinical classification information of pelvic floor dysfunction for the current treatment target; based on the clinical classification information of pelvic floor dysfunction, match an initial pulse magnetic field treatment plan from a preset treatment plan library. Each treatment plan in the treatment plan library contains a different pulse sequence. According to the initial pulsed magnetic field treatment plan, a pulsed magnetic field is applied to the pelvic floor target area of ​​the current treatment target, and at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target is detected in real time by at least one biosignature sensor. Based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulse magnetic field are adjusted in real time. The output parameters include one or more of the following: pulse intensity, frequency, and pulse duration. Record the treatment data for the current treatment target. Based on the comparison results between the treatment data and historical treatment data, adaptively adjust the pulse magnetic field treatment parameters for the next treatment to generate the target pulse magnetic field treatment plan for the current treatment target.

[0006] Furthermore, the biometric sensor includes one or more of a surface electromyography sensor, a pressure sensor, or a heart rate monitor; the biofeedback signal includes one or more of a surface electromyography signal of the pelvic floor muscles, a pressure signal of the pelvic floor region, or a heart rate variability signal.

[0007] Furthermore, based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: The amplitude of the motor evoked potentials of the real-time detected electromyographic signals on the surface of the pelvic floor muscles is compared with a preset target threshold. If the amplitude of the motion evoked potential is lower than the preset amplitude threshold, the pulse intensity of the pulse magnetic field will be automatically increased; if the amplitude of the motion evoked potential is higher than the preset amplitude threshold, the pulse intensity of the pulse magnetic field will be automatically decreased.

[0008] Furthermore, based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: The fatigue index of the pelvic floor muscles is calculated based on the real-time detected pressure signals in the pelvic floor area. When the fatigue index exceeds the preset fatigue threshold, the pulse magnetic field is automatically switched to a pulse sequence with a frequency lower than 5Hz, and / or the interval between pulse sequences is extended.

[0009] Furthermore, based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: Based on the real-time detected heart rate variability signal, determine the high-frequency power component or the ratio of low-frequency power to high-frequency power in the heart rate variability signal; When the high-frequency power component is lower than the first preset threshold, or the ratio is higher than the second preset threshold, the pulse frequency of the pulse magnetic field is automatically reduced to 10Hz, the pulse intensity is reduced, and / or the interval time between pulse sequences is extended.

[0010] Furthermore, the treatment plans in the treatment plan library are classified according to the clinical classification information of pelvic floor dysfunction, which includes at least hypertonic pelvic floor dysfunction and lax pelvic floor dysfunction; among them, the pulse frequency of the pulse sequence in the treatment plan for hypertonic pelvic floor dysfunction is less than 10 Hz, and the pulse frequency of the pulse sequence in the treatment plan for lax pelvic floor dysfunction is greater than 10 Hz.

[0011] Furthermore, based on the comparison results between treatment data and historical treatment data, the parameters of the pulsed magnetic field therapy protocol for the next treatment are adaptively adjusted, including: If the pelvic floor muscle strength is trending upward based on the comparison between treatment data and historical treatment data, the pulse intensity and / or pulse frequency of the pulsed magnetic field therapy plan for the next treatment will be increased.

[0012] In a second aspect, embodiments of this application provide a pulsed magnetic field modulation system for pelvic floor dysfunction, comprising: The classification module is used to obtain the clinical classification information of pelvic floor dysfunction of the current treatment target. Based on the clinical classification information of pelvic floor dysfunction, an initial pulse magnetic field treatment plan is matched from the preset treatment plan library. Each treatment plan in the treatment plan library contains a different pulse sequence. The initial treatment module is used to apply a pulsed magnetic field to the pelvic floor target area of ​​the current treatment target according to the initial pulsed magnetic field treatment plan, and to detect at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target in real time through at least one biosignature sensor. The parameter adjustment module is used to adjust the output parameters of the pulsed magnetic field in real time based on the comparison results between the biofeedback signal and the preset target threshold. The output parameters include one or more of the following: pulse intensity, frequency, and pulse duration. The treatment plan adjustment module records the treatment data for the current treatment target. Based on the comparison results between the treatment data and historical treatment data, it adaptively adjusts the pulse magnetic field treatment plan parameters for the next treatment to generate the target pulse magnetic field treatment plan for the current treatment target.

[0013] In a third aspect, embodiments of this application provide an electronic device, including: Memory and one or more processors; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the pulse magnetic field modulation method for pelvic floor dysfunction as described in the first aspect.

[0014] In a fourth aspect, embodiments of this application provide a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the pulsed magnetic field modulation method for pelvic floor dysfunction as described in the first aspect.

[0015] This application embodiment obtains the clinical classification information of pelvic floor dysfunction of the current treatment target, and based on the clinical classification information of pelvic floor dysfunction, matches an initial pulsed magnetic field treatment plan from a preset treatment plan library. Each treatment plan in the treatment plan library contains a different pulse sequence. According to the initial pulsed magnetic field treatment plan, a pulsed magnetic field is applied to the pelvic floor target area of ​​the current treatment target, and at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target is detected in real time by at least one biosignal sensor. Based on the comparison result of the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time. The output parameters include one or more of pulse intensity, frequency, and pulse duration. The treatment data of the current treatment target is recorded, and based on the comparison result of the treatment data and historical treatment data, the pulsed magnetic field treatment plan parameters for the next treatment are adaptively adjusted to generate a target pulsed magnetic field treatment plan for the current treatment target. By employing the aforementioned technical means, and introducing personalized initial treatment plan matching based on clinical subtypes, closed-loop regulation based on real-time biofeedback signals, and adaptive adjustment mechanisms for treatment plans across treatment courses, pulsed magnetic field therapy can dynamically respond to the real-time physiological state of the current treatment target and continuously optimize based on long-term efficacy. This achieves a transformation from static pre-setting to dynamic and precise adaptation, improving the individualized flexibility, precision, and long-term efficacy stability of treatment, and meeting the clinical needs for efficient, precise, and personalized rehabilitation treatment for pelvic floor dysfunction. Attached Figure Description

[0016] Figure 1 This is a flowchart of a pulsed magnetic field modulation method for pelvic floor dysfunction provided in Embodiment 1 of this application; Figure 2 This is a flowchart of the pulse magnetic field adjustment based on the surface electromyographic signals of the pelvic floor muscles in Embodiment 1 of this application; Figure 3 This is a flowchart of the pulse magnetic field adjustment based on the pelvic floor pressure signal in Embodiment 1 of this application; Figure 4 This is a flowchart of pulse magnetic field adjustment based on heart rate variability signal in Embodiment 1 of this application; Figure 5 This is a schematic diagram of the structure of a pulsed magnetic field modulation system for pelvic floor dysfunction provided in Embodiment 2 of this application; Figure 6 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0018] Example 1: Figure 1 A flowchart of a pulsed magnetic field modulation method for pelvic floor dysfunction provided in Embodiment 1 of this application is given. The pulsed magnetic field modulation method for pelvic floor dysfunction provided in this embodiment can be executed by a pulsed magnetic field modulation device for pelvic floor dysfunction. This device can be implemented by software and / or hardware, and can consist of two or more physical entities, or a single physical entity. Generally, this pulsed magnetic field modulation device for pelvic floor dysfunction can be a pelvic floor magnetic therapy device or similar equipment.

[0019] The following description uses a pelvic floor magnetic therapy device as the main component for implementing pulsed magnetic field modulation methods to treat pelvic floor dysfunction. (Refer to...) Figure 1 The pulsed magnetic field modulation method for this pelvic floor dysfunction specifically includes: S110. Obtain the clinical classification information of pelvic floor dysfunction for the current treatment target. Based on the clinical classification information of pelvic floor dysfunction, match an initial pulse magnetic field treatment plan from the preset treatment plan library. Each treatment plan in the treatment plan library contains a different pulse sequence.

[0020] In the initial treatment phase of pelvic floor muscle function rehabilitation, this application defines the current treatment goal as the user currently undergoing pelvic floor muscle function rehabilitation treatment. For the clinical classification information of pelvic floor dysfunction determined through a standardized clinical assessment process, the pelvic floor magnetic therapy device first acquires this specific classification information. For example, through digital rectal examination, surface electromyography assessment, or standardized questionnaires, patients are classified into types such as hypertonic pelvic floor dysfunction and laxity dysfunction, and this classification information is then input into the pelvic floor magnetic therapy device.

[0021] Prior to this, an intelligent treatment protocol library was pre-built. This library, based on extensive clinical data and neurophysiological principles, sets differentiated pulse sequence parameter combinations for different subtypes. For example, for patients with muscle tension, a pulse sequence primarily focused on low-frequency relaxation (1-5Hz) is automatically matched, while for patients with muscle weakness, a strength-enhancing sequence (10-25Hz) is matched. This transforms traditional empirical parameter settings into standardized matching based on pathophysiological mechanisms, ensuring the accuracy of the treatment basis and laying the foundation for subsequent personalized treatment.

[0022] Optionally, the treatment plans in the treatment plan library are classified according to the clinical classification information of pelvic floor dysfunction, which includes at least hypertonic pelvic floor dysfunction and lax pelvic floor dysfunction; wherein, in the treatment plan corresponding to hypertonic pelvic floor dysfunction, the pulse frequency of the pulse sequence is less than 10 Hz; and in the treatment plan corresponding to lax pelvic floor dysfunction, the pulse frequency of the pulse sequence is greater than 10 Hz.

[0023] The treatment protocol library in this application is designed based on the clinical classification of pelvic floor dysfunction. Given the inherent differences in pelvic floor dysfunction, hypertonic pelvic floor dysfunction is characterized by pelvic floor muscles and their innervating nerves, manifesting as increased resting muscle tone, muscle spasms, and pain sensitivity. Conversely, flaccid pelvic floor dysfunction is primarily characterized by insufficient activation of the neuromuscular junction and decreased muscle fiber recruitment capacity, leading to weakened support function. Based on this fundamental difference, the construction of the treatment protocol library can establish a precise mapping relationship between classification and frequency parameters based on clinical medical data and neuroelectrophysiological studies. Specifically, for hypertonic pelvic floor dysfunction, the treatment device intelligently matches treatment protocols with pulse frequencies strictly set below 10Hz (preferably within the 1-5Hz range). The biological effect of this low-frequency pulsed magnetic field is to inhibit overactive neurons, promoting relaxation of hypertonic muscles and relieving pain. Its mechanism of action focuses more on neuromodulation and symptom relief. Conversely, for flaccid pelvic floor dysfunction, the treatment device automatically selects a pulse frequency higher than 10Hz (typically 15-30Hz). This is because mid-to-high frequency magnetic fields can penetrate tissues more effectively, creating stronger depolarizing stimulation on motor neurons and peripheral motor fibers, and more effectively recruiting fast-twitch muscle fibers. This induces strong tetanic muscle contractions, resulting in increased muscle strength, thicker muscle fibers, and improved endurance. This ensures that the pulsed magnetic field applied to the patient is highly compatible with their underlying pathological state, providing the most suitable initial conditions for all subsequent fine-tuning. It avoids the risk of poor efficacy or even symptom exacerbation due to inappropriate selection of the basic treatment plan, fundamentally ensuring the correctness of the treatment direction.

[0024] S120. According to the initial pulsed magnetic field treatment plan, apply a pulsed magnetic field to the pelvic floor target area of ​​the current treatment target, and detect at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target in real time through at least one bio-signal sensor.

[0025] Furthermore, during the treatment execution phase, while the treatment device applies a pulsed magnetic field according to the matched initial protocol, it simultaneously captures the patient's physiological response signals in real time through a multimodal biometric sensor network. For example, a high-precision surface electromyography (EMG) sensor is used to monitor motor evoked potentials in the patient's pelvic floor detection area, while a miniature pressure sensor embedded in the treatment chair detects biomechanical changes caused by pelvic floor muscle contraction. Simultaneously, a heart rate monitoring device is provided to track the patient's spontaneous heart rate response. These sensors constitute a complete bio-information acquisition network, acquiring raw physiological signals multiple times per second. After signal amplification, filtering, noise reduction, and feature extraction algorithms, these signals are transformed into quantifiable biofeedback indicators, i.e., biofeedback signals, thus providing reliable data support for real-time regulation.

[0026] Among them, the biometric sensor includes one or more of surface electromyography (SEMG) sensors, pressure sensors, or heart rate monitors; the biofeedback signal includes one or more of pelvic floor muscle surface electromyography (SEMG) signals, pelvic floor region pressure signals, or heart rate variability signals.

[0027] Surface electromyography (EMG) sensors are crucial for directly assessing neuromuscular function. By detecting compound muscle action potentials in the pelvic floor region induced by pulsed magnetic field stimulation in real time, these electrical signals directly reflect the physiological process of successful activation of motor neurons and synchronous firing of muscle fibers. This provides the most direct and objective evidence for assessing whether stimulation has reached an effective treatment threshold. Pressure sensors, on the other hand, focus on quantifying the biomechanical response during treatment. Typically, miniature pressure-sensing units are embedded in specific contact surfaces of the treatment chair. By monitoring minute pressure fluctuations caused by pelvic floor muscle contraction during treatment, they can not only indirectly assess muscle contraction strength but also accurately determine muscle fatigue and contraction status by analyzing the slope of the pressure curve, peak hold, and decay pattern. The introduction of heart rate monitors expands the therapeutic equipment's ability to regulate and monitor the autonomic nervous system. For example, non-invasive methods such as photoplethysmography (PPG) can be used to collect minute changes in heart rhythm. Spectral analysis algorithms extract low- and high-frequency power components from the heart rate variability signal. These components reflect the balance of sympathetic and parasympathetic nerve activity, allowing the system to detect potential tension, anxiety, or relaxation responses in patients during treatment. This extends the regulatory scope from the purely somatic motor system to the autonomic nervous system closely related to pelvic floor function. By deploying multimodal biosensors, comprehensive and multidimensional real-time monitoring of the physiological response to treatment is achieved, providing a reliable data foundation for subsequent precise closed-loop regulation and enhancing the objectivity and scientific rigor of the treatment.

[0028] S130. Based on the comparison result between the biofeedback signal and the preset target threshold, adjust the output parameters of the pulse magnetic field in real time. The output parameters include one or more of the following: pulse intensity, frequency, and pulse duration.

[0029] Furthermore, based on real-time acquired biofeedback signals, the intelligent control algorithm built into the treatment device system activates a dynamic parameter adjustment mechanism. For example, when the amplitude of the real-time monitored motor evoked potentials is lower than the preset effective treatment threshold, the control algorithm automatically increases the output intensity according to a preset safe incremental step size, ensuring that the stimulation dose is always maintained within the treatment window; when the pressure sensor detects that the muscle fatigue index exceeds the warning value, the system intelligently switches to a low-frequency stimulation mode and extends the interval time; if heart rate variability analysis shows excessive sympathetic nerve excitation, the stimulation frequency is automatically reduced to the relaxation range. This multi-parameter collaborative regulation mechanism realizes the transformation from a unidirectional stimulation to a bidirectional interactive treatment mode, enabling the treatment process to adapt to the patient's constantly changing physiological state in real time.

[0030] Specifically, refer to Figure 2 Based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: S1301. Compare the amplitude of the motor evoked potential of the real-time detected electromyographic signal on the surface of the pelvic floor muscles with the preset target threshold. S1302. If the amplitude of the motion evoked potential is lower than the preset amplitude threshold, the pulse intensity of the pulse magnetic field will be automatically increased; if the amplitude of the motion evoked potential is higher than the preset amplitude threshold, the pulse intensity of the pulse magnetic field will be automatically decreased.

[0031] When a pulsed magnetic field is applied to the target area of ​​the patient's pelvic floor, it induces action potentials in the peripheral nerves, which in turn cause synchronous discharge of muscle fibers, forming motor evoked potentials (MAPs). These weak bioelectrical signals are captured by a surface electromyography (EMG) sensor at a set sampling rate. After preprocessing including multi-stage amplification, bandpass filtering, and power frequency notch filtering, the amplitude characteristics of the MAPs are extracted in real time using a peak detection algorithm. This real-time physiological response indicator is then continuously compared with a preset personalized target threshold. This target threshold is set based on the patient's baseline muscle strength, treatment stage, and clinical goals, reflecting the minimum level of neural activation required to produce the desired physiological effect. When the comparison results show that the real-time MAP amplitude is consistently below the preset threshold, the control algorithm determines that the current stimulation dose is insufficient to effectively activate the neuromuscular system. It then automatically increases the output intensity of the pulsed magnetic field according to a preset safe increment. This increased output intensity induces a stronger electric field in the tissue, thereby expanding the neural recruitment range and ensuring that the therapeutic stimulation remains within the effective biological window. Conversely, when the amplitude of the motor evoked potential is detected to be abnormally higher than a preset threshold, it is determined that the stimulation intensity may exceed the patient's physiological tolerance range, posing a risk of overstimulation. The control algorithm will immediately trigger an intensity attenuation mechanism to appropriately reduce the output intensity, preventing muscle over-fatigue, neural adaptation, or potential tissue damage. This dynamic balance regulation based on physiological feedback not only occurs during the continuous process of a single treatment session but also adapts to changes in muscle state, such as appropriately reducing the intensity when muscles become fatigued to maintain sustained effective stimulation.

[0032] By establishing a closed-loop intensity control based on electromyographic biofeedback, real-time and precise matching of stimulation dose and individual neural responsiveness is achieved, ensuring that the treatment is always in the optimal efficacy range, while effectively preventing the risks of insufficient or excessive stimulation.

[0033] Reference Figure 3 Based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: S1303. Calculate the fatigue index of the pelvic floor muscles based on the real-time detected pressure signal in the pelvic floor area. S1304. When the fatigue index exceeds the preset fatigue threshold, the pulse magnetic field is automatically switched to a pulse sequence with a frequency lower than 5Hz, and / or the interval between pulse sequences is extended.

[0034] When a pulsed magnetic field induces pelvic floor muscle contraction, pressure sensors embedded in the treatment chair rapidly capture the resulting minute pressure changes and convert these analog signals into high-precision digital pressure waveforms. The treatment device then performs real-time feature extraction and analysis on these pressure waveforms, quantifying muscle fatigue by tracking the changing trends of key indicators. These indicators include, but are not limited to, the rate of deceleration of pressure peaks, the increasing trend in the time required to reach peak pressure, and the shortening of the stable pressure waveform period. By fusing these multi-dimensional indicators, a real-time, dimensionless fatigue index is calculated, which sensitively reflects the physiological process of the pelvic floor muscles transitioning from efficient contraction to fatigue. This application does not impose fixed limitations on the calculation method of the fatigue index based on different indicators of pelvic floor region pressure signals; the calculation formula can be set according to actual calculation needs, which will not be elaborated here.

[0035] The dynamically calculated fatigue index is then continuously compared with a preset personalized fatigue threshold, a safety limit set based on the patient's baseline muscle strength, past treatment performance, and expected training goals. Once the real-time fatigue index exceeds this preset threshold, the muscles are considered to be in a state of over-fatigue. Continuing the existing stimulation may impair the treatment effect or even lead to muscle strain. At this point, the control algorithm immediately triggers a preset adaptive adjustment program, automatically switching the currently output pulse magnetic field to a deep relaxation pulse sequence with a frequency below 5Hz. This low-frequency stimulation has been proven to promote blood circulation, accelerate the removal of metabolic waste, and relieve muscle spasms. Simultaneously, the algorithm can intelligently extend the intervals between pulse sequences, providing a more sufficient physiological recovery window for fatigued muscles. This biomechanical feedback-based parameter adjustment provides a dynamic and continuous process, capable of multiple rounds of fine-tuning based on fluctuations in muscle state, thereby achieving the optimal balance between effective stimulation and full recovery in a single treatment session.

[0036] By monitoring muscle fatigue in real time and automatically adjusting to a low-frequency relaxation mode, it effectively prevents excessive muscle fatigue and potential damage during treatment, ensuring the safety and sustainability of treatment and optimizing the efficiency of neuromuscular training.

[0037] Reference Figure 4 Based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: S1305. Based on the real-time detected heart rate variability signal, determine the high-frequency power component or the ratio of low-frequency power to high-frequency power in the heart rate variability signal. S1306. When the high-frequency power component is lower than the first preset threshold or the ratio is higher than the second preset threshold, the pulse frequency of the pulse magnetic field is automatically reduced to 10Hz, the pulse intensity is reduced, and / or the interval time between pulse sequences is extended.

[0038] Continuous monitoring of heart rate intervals using non-invasive methods such as photoplethysmography (PPG) or electrocardiography (ECG) allows for the processing of raw data using time-frequency domain analysis algorithms (such as Fast Fourier Transform or autoregressive models). This process precisely extracts the high-frequency power component (HF, 0.15-0.40 Hz) and the ratio of low-frequency power to high-frequency power (LF / HF) from the heart rate variability signal. These specific indicators have clear physiological significance. The high-frequency power component is considered a quantitative indicator reflecting parasympathetic (vagus nerve) activity; a decreased HF value directly suggests a weakened ability to relax. The LF / HF ratio characterizes the balance between sympathetic and parasympathetic nerve tension; an increased ratio clearly indicates a relative dominance of sympathetic nerve activity, meaning the body is in a state of stress. The system continuously compares the real-time calculated absolute power of HF or the LF / HF ratio with preset thresholds established based on population norms and individual baselines. When the HF power is consistently below the first threshold (indicating insufficient parasympathetic activity) or the LF / HF ratio is consistently above the second threshold (indicating a shift in autonomic balance towards the sympathetic side), the algorithm determines that the patient is currently in a state of sympathetic dominance and tension. This state directly leads to abnormally high tension in the pelvic floor muscles and increased pain sensitivity, severely limiting the effectiveness of treatment. Based on this determination, the system immediately initiates a multi-parameter collaborative adjustment program, automatically reducing the pulse magnetic field frequency to a relaxation range below 10Hz (preferably 5-8Hz). This frequency range effectively inhibits sympathetic excitation; simultaneously, it moderately reduces the pulse output intensity to lessen the impact on the nervous system; and intelligently extends the interval between pulse sequences to create a more sufficient adjustment window for the autonomic nervous system to rebalance.

[0039] By incorporating heart rate variability, an indicator reflecting the overall autonomic nervous system state, into the real-time regulation system, a deep intervention on the neuroendocrine factors behind pelvic floor dysfunction is achieved. It is particularly suitable for patients with anxiety, tension, or chronic pain symptoms, significantly improving the physiological integration and fundamental efficacy of the treatment.

[0040] In one embodiment, the treatment device can also integrate a portable ultrasound imaging device on top of an existing biometric sensing system. At the start of treatment, the operator uses an ultrasound probe to locate key anatomical structures of the patient's pelvic floor muscles (such as the levator ani and puborectalis muscles). The system automatically identifies these target points using image recognition algorithms and registers them with the spatial coordinates of the magnetic stimulation coils. During treatment, ultrasound displays real-time morphological changes in the muscles (such as changes in thickness and displacement amplitude). These morphological parameters are quantified into new biofeedback signals that are input into the control system. For example, the system can set a percentage increase in target muscle thickness as a threshold. If the real-time ultrasound data does not reach the threshold, the coil angle is automatically fine-tuned or the stimulation intensity is increased to ensure that the magnetic field energy is precisely focused on specific, weak muscle bundles.

[0041] In one embodiment, the treatment device trains a deep learning neural network model by collecting a large amount of anonymized treatment data (including clinical subtyping, biofeedback signals, adjusted parameters, and efficacy assessments). When a new patient is admitted, the system inputs their basic information (age, disease duration, baseline electromyography, etc.) into the model, which then predicts the most suitable initial parameter combination for that patient (such as optimal starting frequency and intensity ramp rate). During treatment, the model also dynamically predicts the next optimal adjustment strategy based on real-time biofeedback data, replacing some preset threshold rules, thereby achieving more proactive and intelligent control.

[0042] S140. Record the treatment data of the current treatment target. Based on the comparison results of the treatment data and the historical treatment data, make adaptive adjustments to the pulse magnetic field treatment plan parameters for the next treatment and generate the target pulse magnetic field treatment plan for the current treatment target.

[0043] Furthermore, this application constructs a complete treatment data chain at the treatment management level. After each treatment, the system automatically generates a structured treatment report, recording multi-dimensional data including final effective parameters, biofeedback achievement rate, and tolerance score, and compares it longitudinally with historical treatment data through time-series data analysis algorithms. When data analysis shows that the patient's muscle strength is showing a stable upward trend, the system automatically generates an enhanced treatment plan according to preset progression rules; if a plateau occurs or the response is poor, an optimization algorithm is activated, suggesting adjustments to the stimulation target or changes to the pulse sequence combination. This data-driven decision-making mechanism enables the continuous evolution of the treatment plan, forming a virtuous cycle of individualized treatment and significantly improving long-term treatment outcomes.

[0044] In summary, this application has constructed a complete precision treatment system by establishing three major mechanisms: clinical subtyping matching, real-time biofeedback regulation, and adaptive optimization between treatment courses. This system has achieved a leap from fixed parameter treatment to dynamic individualized treatment, significantly improving the targeting, effectiveness, and long-term stability of pelvic floor dysfunction treatment.

[0045] Optionally, based on the comparison results between treatment data and historical treatment data, the parameters of the pulsed magnetic field therapy protocol for the next treatment are adaptively adjusted, including: If the pelvic floor muscle strength is trending upward based on the comparison between treatment data and historical treatment data, the pulse intensity and / or pulse frequency of the pulsed magnetic field therapy plan for the next treatment will be increased.

[0046] The treatment device automatically generates a structured treatment report after each treatment session. Key indicators in the report include, but are not limited to: the final stimulation intensity required to achieve the target electromyographic (EMG) response, the patient's highest tolerable intensity, the duration of stable muscle contraction during treatment, and the fatigue curve calculated by a pressure sensor. This quantitative data, along with the patient's subjective assessment, is stored and combined with historical data from all previous treatments to form a longitudinally evolving, personalized database. The device's built-in intelligent trend analysis algorithm continuously tracks key indicators reflecting pelvic floor muscle strength. For example, by analyzing the decreasing trend of stimulation intensity required to achieve the same EMG response threshold, or the increasing trend of EMG response amplitude at the same stimulation intensity, it objectively determines whether muscle strength is showing an upward trend. When the algorithm confirms a clinically significant upward trend through statistical methods (such as linear regression analysis or moving average comparison), it indicates that the patient's neuromuscular system has adapted to the current training load and entered a new functional plateau. To prevent treatment effectiveness from plateauing and to continuously promote neuromuscular function improvement, the system automatically generates an enhanced treatment plan for the next session based on preset, safe progression rules. In intensive treatment regimens, increasing pulse intensity recruits more motor units in a subthreshold excited state, activating deeper or higher-threshold muscle fibers; while increasing pulse frequency (e.g., from 15Hz to 20Hz) alters the nerve impulse firing pattern, which is more conducive to the mobilization of fast-twitch muscle fibers and the training of muscle explosive power. Therefore, personalized calculations are performed based on the patient's specific progress and tolerance history to ensure that each parameter increase is both effective and safe, always maintaining the therapeutic stimulus within the optimal supercompensation window.

[0047] Through a data-driven inter-treatment parameter progression mechanism, the treatment plan was dynamically improved and the patient's physiological progress was achieved. This effectively prevented the occurrence of training plateaus, continuously promoted the development of pelvic floor muscle strength and nerve function to a higher level, and significantly accelerated the rehabilitation process.

[0048] Optionally, this application can also support the control of multiple independently locatable magnetic stimulation coils. Addressing the sacral nerve modulation needs often associated with pelvic floor dysfunction, a dual-target synergistic stimulation mode for the pelvic floor muscles and sacral nerve roots can be preset. The two coils are located according to anatomical atlases, outputting a time-optimized pulse sequence (e.g., sacral nerve stimulation is prioritized for 50ms to pre-activate the neural pathway before triggering pelvic floor muscle stimulation). The system independently adjusts the parameters of the corresponding coils based on the biofeedback (pelvic floor electromyography and foot electromyography) of each target point, achieving synergistic effects. Through multi-target spatiotemporal synergistic intervention, simultaneously acting on peripheral effectors and central control nodes, it is expected to produce a synergistic effect on refractory mixed-type dysfunction, breaking through the efficacy bottleneck of single-target treatment.

[0049] On the other hand, by integrating a weak multi-frequency impedance measurement module into the magnetic stimulation coil, safe microcurrents of different frequencies are injected into the tissue during the pulse interval, and the impedance spectrum of the target tissue is calculated in real time. By establishing an impedance-field intensity mapping model, when changes in tissue impedance due to factors such as edema and changes in fat thickness are detected, the actual field intensity attenuation of the magnetic field in the deep tissue is predicted, and the output intensity is automatically compensated (e.g., if the impedance increases by 10%, the intensity is increased by 8%), ensuring that the magnetic energy density reaching the target point remains constant. This overcomes the energy transfer fluctuations caused by individual differences in tissue composition or changes in body position, ensuring that the actual physical stimulation dose received by patients with different body shapes and between different treatment courses for the same patient is consistent, improving the comparability and repeatability of therapeutic effects.

[0050] The above describes a process involving obtaining clinical classification information of pelvic floor dysfunction for the current treatment target, matching an initial pulsed magnetic field (PMF) treatment plan from a pre-defined treatment plan library based on this information. Each treatment plan in the library contains a different pulse sequence. According to the initial PMF treatment plan, a pulsed magnetic field is applied to the pelvic floor target area of ​​the current treatment target. At least one biosensor is used to detect in real-time at least one biofeedback signal induced by the PMF within the current treatment target. Based on a comparison of the biofeedback signal with a pre-defined target threshold, the output parameters of the PMF are adjusted in real-time. These output parameters include one or more of pulse intensity, frequency, and pulse duration. Treatment data for the current treatment target is recorded. Based on a comparison of the treatment data with historical treatment data, the parameters of the PMF treatment plan for the next treatment are adaptively adjusted to generate a target PMF treatment plan for the current treatment target. By employing the aforementioned technical means, and introducing personalized initial treatment plan matching based on clinical subtypes, closed-loop regulation based on real-time biofeedback signals, and adaptive adjustment mechanisms for treatment plans across treatment courses, pulsed magnetic field therapy can dynamically respond to the patient's real-time physiological state and continuously optimize based on long-term efficacy. This achieves a transformation from static pre-setting to dynamic and precise adaptation, improving the individualized flexibility, precision, and long-term efficacy stability of treatment, and meeting the clinical needs for efficient, precise, and personalized rehabilitation treatment for pelvic floor dysfunction.

[0051] Example 2: Based on the above embodiments, Figure 5 This is a schematic diagram of a pulsed magnetic field modulation system for pelvic floor dysfunction provided in Embodiment 2 of this application. (Reference) Figure 5 The pulsed magnetic field modulation system for pelvic floor dysfunction provided in this embodiment specifically includes: The classification module 21 is used to obtain the clinical classification information of pelvic floor dysfunction of the current treatment target. Based on the clinical classification information of pelvic floor dysfunction, an initial pulse magnetic field treatment plan is matched from the preset treatment plan library. Each treatment plan in the treatment plan library contains a different pulse sequence. The initial treatment module 22 is used to apply a pulsed magnetic field to the pelvic floor target area of ​​the current treatment target according to the initial pulsed magnetic field treatment plan, and to detect at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target in real time through at least one bio-signal sensor. The parameter adjustment module 23 is used to adjust the output parameters of the pulse magnetic field in real time based on the comparison result between the biofeedback signal and the preset target threshold. The output parameters include one or more of pulse intensity, frequency and pulse duration. The treatment plan adjustment module 24 is used to record the treatment data of the current treatment target. Based on the comparison results of the treatment data and the historical treatment data, the pulse magnetic field treatment plan parameters for the next treatment are adaptively adjusted to generate the target pulse magnetic field treatment plan for the current treatment target.

[0052] Specifically, the treatment plans in the treatment plan library are classified according to the clinical classification information of pelvic floor dysfunction, which includes at least hypertonic pelvic floor dysfunction and lax pelvic floor dysfunction. Among them, the pulse frequency of the pulse sequence in the treatment plan for hypertonic pelvic floor dysfunction is less than 10 Hz, while the pulse frequency of the pulse sequence in the treatment plan for lax pelvic floor dysfunction is greater than 10 Hz.

[0053] Specifically, the biometric sensor includes one or more of surface electromyography (EMG) sensors, pressure sensors, or heart rate monitors; the biofeedback signal includes one or more of pelvic floor muscle surface EMG signals, pelvic floor region pressure signals, or heart rate variability signals.

[0054] Among them, based on the comparison results between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: The amplitude of the motor evoked potentials of the real-time detected electromyographic signals on the surface of the pelvic floor muscles is compared with a preset target threshold. If the amplitude of the motion evoked potential is lower than the preset amplitude threshold, the pulse intensity of the pulse magnetic field will be automatically increased; if the amplitude of the motion evoked potential is higher than the preset amplitude threshold, the pulse intensity of the pulse magnetic field will be automatically decreased.

[0055] Based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: The fatigue index of the pelvic floor muscles is calculated based on the real-time detected pressure signals in the pelvic floor area. When the fatigue index exceeds the preset fatigue threshold, the pulse magnetic field is automatically switched to a pulse sequence with a frequency lower than 5Hz, and / or the interval between pulse sequences is extended.

[0056] Based on the comparison between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time, including: Based on the real-time detected heart rate variability signal, determine the high-frequency power component or the ratio of low-frequency power to high-frequency power in the heart rate variability signal; When the high-frequency power component is lower than the first preset threshold, or the ratio is higher than the second preset threshold, the pulse frequency of the pulse magnetic field is automatically reduced to 10Hz, the pulse intensity is reduced, and / or the interval time between pulse sequences is extended.

[0057] Specifically, based on the comparison results between treatment data and historical treatment data, the parameters of the pulsed magnetic field therapy protocol for the next treatment are adaptively adjusted, including: If the pelvic floor muscle strength is trending upward based on the comparison between treatment data and historical treatment data, the pulse intensity and / or pulse frequency of the pulsed magnetic field therapy plan for the next treatment will be increased.

[0058] The above describes a process involving obtaining clinical classification information of pelvic floor dysfunction for the current treatment target, matching an initial pulsed magnetic field (PMF) treatment plan from a pre-defined treatment plan library based on this information. Each treatment plan in the library contains a different pulse sequence. According to the initial PMF treatment plan, a pulsed magnetic field is applied to the pelvic floor target area of ​​the current treatment target. At least one biosensor is used to detect in real-time at least one biofeedback signal induced by the PMF within the current treatment target. Based on a comparison of the biofeedback signal with a pre-defined target threshold, the output parameters of the PMF are adjusted in real-time. These output parameters include one or more of pulse intensity, frequency, and pulse duration. Treatment data for the current treatment target is recorded. Based on a comparison of the treatment data with historical treatment data, the parameters of the PMF treatment plan for the next treatment are adaptively adjusted to generate a target PMF treatment plan for the current treatment target. By employing the aforementioned technical means, and introducing personalized initial treatment plan matching based on clinical subtypes, closed-loop regulation based on real-time biofeedback signals, and adaptive adjustment mechanisms for treatment plans across treatment courses, pulsed magnetic field therapy can dynamically respond to the patient's real-time physiological state and continuously optimize based on long-term efficacy. This achieves a transformation from static pre-setting to dynamic and precise adaptation, improving the individualized flexibility, precision, and long-term efficacy stability of treatment, and meeting the clinical needs for efficient, precise, and personalized rehabilitation treatment for pelvic floor dysfunction.

[0059] The pulsed magnetic field modulation system for pelvic floor dysfunction provided in Embodiment 2 of this application can be used to execute the pulsed magnetic field modulation method for pelvic floor dysfunction provided in Embodiment 1 above, and has the corresponding functions and beneficial effects.

[0060] Example 3: This application provides an electronic device in embodiment three, referring to... Figure 6 The electronic device includes a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The electronic device may have one or more processors and one or more memories. The processor, memory, communication module, input device, and output device of the electronic device can be connected via a bus or other means.

[0061] As a computer-readable storage medium, the memory can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the pulse magnetic field modulation method for pelvic floor dysfunction described in any embodiment of this application (e.g., various modules in the pulse magnetic field modulation system for pelvic floor dysfunction). The memory may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function; the data storage area may store data created based on the use of the device, etc. Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0062] The communication module is used for data transmission.

[0063] The processor executes various functional applications and data processing of the device by running software programs, instructions, and modules stored in memory, thereby realizing the pulse magnetic field modulation method for pelvic floor dysfunction mentioned above.

[0064] Input devices can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the device. Output devices may include display devices such as displays.

[0065] The electronic device provided above can be used to perform the pulse magnetic field modulation method for pelvic floor dysfunction provided in Embodiment 1 above, and has the corresponding functions and beneficial effects.

[0066] Example 4: This application embodiment also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform a pulsed magnetic field modulation method for pelvic floor dysfunction. The pulsed magnetic field modulation method for pelvic floor dysfunction includes: acquiring clinical classification information of pelvic floor dysfunction of the current treatment target; matching an initial pulsed magnetic field treatment plan from a preset treatment plan library based on the clinical classification information, wherein each treatment plan in the treatment plan library contains a different pulse sequence; applying a pulsed magnetic field to the pelvic floor target area of ​​the current treatment target according to the initial pulsed magnetic field treatment plan; detecting at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target in real time using at least one biosignal sensor; adjusting the output parameters of the pulsed magnetic field in real time based on the comparison result of the biofeedback signal and a preset target threshold, wherein the output parameters include one or more of pulse intensity, frequency, and pulse duration; recording the treatment data of the current treatment target; and adaptively adjusting the pulsed magnetic field treatment plan parameters for the next treatment based on the comparison result of the treatment data and historical treatment data, thereby generating a target pulsed magnetic field treatment plan for the current treatment target.

[0067] Storage medium – any type of memory device or storage device. The term “storage medium” is intended to include: mounting media, such as CD-ROM, floppy disk, or magnetic tape devices; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. Storage medium may also include other types of memory or combinations thereof. Furthermore, storage medium may reside in a first computer system in which the program is executed, or it may reside in a different second computer system connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term “storage medium” can include two or more storage media residing in different locations (e.g., in different computer systems connected via a network). Storage medium may store program instructions (e.g., specifically implemented as a computer program) executable by one or more processors.

[0068] Of course, the computer-executable instructions provided in the embodiments of this application are not limited to the pulse magnetic field modulation method for pelvic floor dysfunction as described above, but can also execute related operations in the pulse magnetic field modulation method for pelvic floor dysfunction provided in any embodiment of this application.

[0069] The pulse magnetic field modulation system, storage medium, and electronic device for pelvic floor dysfunction provided in the above embodiments can execute the pulse magnetic field modulation method for pelvic floor dysfunction provided in any embodiment of this application. For technical details not described in detail in the above embodiments, please refer to the pulse magnetic field modulation method for pelvic floor dysfunction provided in any embodiment of this application.

[0070] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A pulsed magnetic field modulation system for pelvic floor dysfunction, characterized in that, include: The classification module is used to acquire clinical classification information of pelvic floor dysfunction for the current treatment target. Based on the clinical classification information, an initial pulsed magnetic field therapy plan is matched from a preset treatment plan library. Each treatment plan in the library contains a different pulse sequence. The treatment plans in the library are classified according to the clinical classification information of pelvic floor dysfunction, which includes at least hypertonic pelvic floor dysfunction and lax pelvic floor dysfunction. Specifically, in the treatment plan corresponding to hypertonic pelvic floor dysfunction, the pulse frequency of the pulse sequence is below 10Hz; in the treatment plan corresponding to lax pelvic floor dysfunction, the pulse frequency of the pulse sequence is above 10Hz. The initial treatment module is used to apply a pulsed magnetic field to the pelvic floor target area of ​​the current treatment target according to the initial pulsed magnetic field treatment plan, and to detect at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target in real time through at least one biosignature sensor. The parameter adjustment module is used to adjust the output parameters of the pulsed magnetic field in real time based on the comparison result between the biofeedback signal and the preset target threshold. The output parameters include one or more of pulse intensity, frequency and pulse duration. The treatment plan adjustment module records treatment data for the current treatment goal. Based on a comparison of this treatment data with historical treatment data, it adaptively adjusts the pulsed magnetic field therapy parameters for the next treatment, generating a target pulsed magnetic field therapy plan for the current treatment goal. A structured treatment report is generated after each treatment session. Key indicators in this report include the final stimulation intensity required to achieve the target electromyographic response, the patient's highest tolerated intensity, the duration of stable muscle contraction, and the fatigue curve calculated by a pressure sensor. The quantitative data in the treatment report are stored together with the patient's subjective experience score, and compared with all previous data. Historical data from the treatment course constitutes a longitudinal, individualized database. Based on the analysis of the individualized database, the decreasing trend of stimulation intensity required to reach the same electromyographic response threshold or the increasing trend of electromyographic response amplitude under the same stimulation intensity is used to determine whether pelvic floor muscle strength is showing an upward trend. When it is determined that the pelvic floor muscle strength of the current treatment target is showing an upward trend, an enhanced treatment plan is generated for the next treatment according to the preset safe progression rules, increasing pulse intensity and / or pulse frequency. Increasing pulse intensity is used to recruit more motor units in a subthreshold excited state and activate muscle fibers with higher thresholds, while increasing pulse frequency is used to change the nerve impulse firing pattern to mobilize fast-twitch muscle fibers.

2. An electronic device, characterized in that, include: Memory and one or more processors; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors perform the following method: The process involves acquiring clinical classification information of pelvic floor dysfunction for the current treatment target, and matching an initial pulsed magnetic field therapy plan from a pre-defined treatment plan library based on this information. Each treatment plan in the library contains a different pulse sequence. The treatment plans in the library are categorized according to the clinical classification information of pelvic floor dysfunction, which includes at least hypertonic pelvic floor dysfunction and lax pelvic floor dysfunction. Specifically, in the treatment plan for hypertonic pelvic floor dysfunction, the pulse frequency of the pulse sequence is below 10Hz; in the treatment plan for lax pelvic floor dysfunction, the pulse frequency of the pulse sequence is above 10Hz. According to the initial pulsed magnetic field treatment plan, a pulsed magnetic field is applied to the pelvic floor target area of ​​the current treatment target, and at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target is detected in real time by at least one biosignature sensor. Based on the comparison result between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time. The output parameters include one or more of pulse intensity, frequency and pulse duration. The treatment data for the current treatment target is recorded. Based on the comparison between the treatment data and historical treatment data, the parameters of the pulse magnetic field therapy plan for the next treatment are adaptively adjusted to generate the target pulse magnetic field therapy plan for the current treatment target. A structured treatment report is generated after each treatment. Key indicators in the treatment report include the final stimulation intensity required to achieve the target electromyographic response, the highest intensity tolerated by the patient, the duration of stable muscle contraction, and the fatigue curve calculated by a pressure sensor. The quantitative data in the treatment report and the patient's subjective feeling score are stored together, forming a longitudinal individualized database with historical data from all previous treatments. Based on the individualized database analysis, the decreasing trend of stimulation intensity required to achieve the same electromyographic response threshold or the increasing trend of electromyographic response amplitude at the same stimulation intensity is used to determine whether pelvic floor muscle strength is showing an upward trend. When it is determined that the pelvic floor muscle strength of the current treatment target is showing an upward trend, an enhanced treatment plan is generated for the next treatment according to preset safety progression rules, increasing pulse intensity and / or pulse frequency. Increasing pulse intensity is used to recruit more motor units in a subthreshold excited state and activate muscle fibers with higher thresholds, while increasing pulse frequency is used to change the nerve impulse firing pattern to mobilize fast-twitch muscle fibers.

3. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the following methods: The process involves acquiring clinical classification information of pelvic floor dysfunction for the current treatment target, and matching an initial pulsed magnetic field therapy plan from a pre-defined treatment plan library based on this information. Each treatment plan in the library contains a different pulse sequence. The treatment plans in the library are categorized according to the clinical classification information of pelvic floor dysfunction, which includes at least hypertonic pelvic floor dysfunction and lax pelvic floor dysfunction. Specifically, in the treatment plan for hypertonic pelvic floor dysfunction, the pulse frequency of the pulse sequence is below 10Hz; in the treatment plan for lax pelvic floor dysfunction, the pulse frequency of the pulse sequence is above 10Hz. According to the initial pulsed magnetic field treatment plan, a pulsed magnetic field is applied to the pelvic floor target area of ​​the current treatment target, and at least one biofeedback signal induced by the pulsed magnetic field in the current treatment target is detected in real time by at least one biosignature sensor. Based on the comparison result between the biofeedback signal and the preset target threshold, the output parameters of the pulsed magnetic field are adjusted in real time. The output parameters include one or more of pulse intensity, frequency and pulse duration. The treatment data for the current treatment target is recorded. Based on the comparison between the treatment data and historical treatment data, the parameters of the pulse magnetic field therapy plan for the next treatment are adaptively adjusted to generate the target pulse magnetic field therapy plan for the current treatment target. A structured treatment report is generated after each treatment. Key indicators in the treatment report include the final stimulation intensity required to achieve the target electromyographic response, the highest intensity tolerated by the patient, the duration of stable muscle contraction, and the fatigue curve calculated by a pressure sensor. The quantitative data in the treatment report and the patient's subjective feeling score are stored together, forming a longitudinal individualized database with historical data from all previous treatments. Based on the individualized database analysis, the decreasing trend of stimulation intensity required to achieve the same electromyographic response threshold or the increasing trend of electromyographic response amplitude at the same stimulation intensity is used to determine whether pelvic floor muscle strength is showing an upward trend. When it is determined that the pelvic floor muscle strength of the current treatment target is showing an upward trend, an enhanced treatment plan is generated for the next treatment according to preset safety progression rules, increasing pulse intensity and / or pulse frequency. Increasing pulse intensity is used to recruit more motor units in a subthreshold excited state and activate muscle fibers with higher thresholds, while increasing pulse frequency is used to change the nerve impulse firing pattern to mobilize fast-twitch muscle fibers.

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