A pelvic floor muscle electrical signal quantification scoring system, method and storage medium

Abstract

The application relates to the technical field of signal processing, and discloses a pelvic floor muscle electromyographic signal quantitative scoring system and method and a storage medium, which are aimed at solving the problems of poor accuracy, high calculation complexity and unreasonable response of the existing method, and mainly comprise the following steps: an acquisition unit is used for acquiring the electromyographic signal of the pelvic floor muscle; a processing unit is used for dividing the electromyographic signal into multiple detection stages, converting the electromyographic signal into a digital signal, and obtaining corresponding electromyographic data; and a scoring unit is used for calculating the scores of the detection stages, performing weighted summation on the scores of the detection stages, and obtaining the total score of the electromyographic signal. The application improves the accuracy of the quantitative scoring of the pelvic floor muscle electromyographic signal, reduces the calculation complexity, improves the rationality of the response of the scoring to the electromyographic data, and is particularly suitable for assisting doctors in diagnosing and evaluating the health condition of the pelvic floor muscle.

Description

Technical Field

[0001] This invention relates to the field of signal processing technology, specifically to a pelvic floor electromyography signal quantification scoring system, method, and storage medium. Background Technology

[0002] The function of the pelvic floor muscles depends on the integrity of their nerve innervation, muscle strength, endurance, coordination, and ability to relax in a timely manner. Pelvic floor electromyography (EMG) signals are direct and objective physiological indicators of muscle nerve activity. By evaluating pelvic floor EMG signals, the bioelectrical activity of the pelvic floor muscles can be quantified, and the functional status of the pelvic floor neuromuscular system can be assessed. This provides objective and quantitative data that goes beyond digital examination, revealing neuromuscular functional details that cannot be detected by the naked eye or palpation.

[0003] The traditional method for evaluating pelvic floor electromyography (sEMG) signals is primarily the Glazer assessment. Its main principle involves collecting surface electromyography (sEMG) signals of the pelvic floor muscles via vaginal electrodes during a standardized sequence of movements. The core assessment phases include: a 60-second baseline test (resting state), 5 rapid contractions (fast-twitch muscle function), 5 sustained contractions (fast-slow-twitch muscle coordination), a 60-second sustained contraction (slow-twitch muscle endurance), and a 60-second baseline test (recovery function). Each phase uses a fixed threshold interpretation mode; for example, an average EMG value >4 μV in the pre-resting phase is interpreted as "pelvic floor muscle overactivity," while an average EMG value <35 μV in the rapid contraction phase is interpreted as "fast-twitch muscle weakness." This method has several drawbacks: firstly, it relies solely on the mean amplitude parameter, neglecting crucial indicators such as muscle stability; and secondly, the Glazer report only provides a list of thresholds for each phase, lacking an overall quantitative score, making it difficult for physicians to quickly assess the severity and track dynamic changes in rehabilitation.

[0004] Application publication number CN107066800A discloses a graded diagnosis and treatment system for pelvic floor dysfunction, which mainly discloses the use of a diagnostic assessment module to evaluate and calculate electromyographic parameters to obtain pre-resting electromyographic assessment scores, rapid contraction electromyographic assessment scores, sustained contraction electromyographic assessment scores, and post-resting electromyographic assessment scores. While the disclosed calculation formula considers muscle stability through variability values, when calculating the average score in the pre-resting phase, if the average electromyographic value X1 ≤ 4 μV, the calculated average score is fixed, failing to quantify the average electromyographic value within the 0-4 μV range, and unable to differentiate low-tension states more finely, resulting in poor accuracy. If the average electromyographic value X1 > 4 μV, the calculated average score decreases non-linearly, showing a weak response to high tension, which does not conform to the pathological progression of pelvic floor electromyography, and the calculation complexity is too high. If the average electromyographic value X1 = 4 μV, the calculated average score exhibits significant jumps, resulting in discontinuous average scores and poor score stability. When calculating the variability score during the pre-resting phase, if b1 > 0.2s, the variability score calculated according to this formula decreases non-linearly. This non-linear decay leads to excessive penalty for moderate values, resulting in an unreasonable response to high variability and high computational complexity. If b1 ≤ 0.2s, a fixed full score is given, which cannot distinguish subtle differences under low variability. There is a jump change at b1 = 0.2s, which does not conform to the gradual change characteristics of physiological parameters. Furthermore, it is easy to cause small measurement errors to lead to large changes in the score, amplifying the error. Summary of the Invention

[0005] This invention aims to address the problems of poor accuracy, computational complexity, and unreasonable response in existing pelvic floor electromyography (EMG) signal evaluation methods, and proposes a pelvic floor EMG signal quantification scoring system, method, and storage medium.

[0006] The technical solution adopted by the present invention to solve the above-mentioned technical problems is as follows: In a first aspect, the present invention provides a pelvic floor electromyography signal quantitative scoring system, the system comprising: Acquisition unit, used to acquire electromyographic signals of the pelvic floor muscles; The processing unit is used to divide the electromyographic signal into multiple detection stages and convert the electromyographic signal into a digital signal to obtain electromyographic data corresponding to each detection stage. The detection stages include the pre-resting stage, fast-twitch stage, slow-twitch stage, endurance stage, and post-resting stage. The scoring unit is used to calculate the average score and variability score for the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase based on the corresponding electromyography (EMG) data. The average score and variability score are then weighted and summed to obtain the pre-resting phase score, slow-twitch phase score, endurance phase score, and post-resting phase score, respectively. The unit also calculates the contraction time score, maximum value score, and relaxation time score for the fast-twitch phase based on the corresponding EMG data. These scores are then weighted and summed to obtain the fast-twitch phase score. Finally, the pre-resting phase score, fast-twitch phase score, slow-twitch phase score, endurance phase score, and post-resting phase score are weighted and summed to obtain the total score for the EMG signal. The calculation steps for the pre-resting phase score are as follows: Obtain the mean electromyography (EMG) value a1 and the EMG variability value b1 during the pre-resting phase. Let the pre-resting phase score be S1, where S1 = V1 × 50% + V2 × 50%; where V1 represents the mean score of the pre-resting phase and V2 represents the variability score of the pre-resting phase. When a1≤4, V1=100-(5×a1); When 4 < a1 < 10, V1 = 80 - (a1 - 4) × 10; When a1 > 10, V1 = 0; When b1 > 0, V2 = 100 - 50 × b1; When b1≤0, V2=0.

[0007] In the above scheme, by calculating the stage scores of each detection stage and performing weighted summation, a quantitative evaluation of pelvic floor electromyography (EMG) signals is achieved, enabling doctors to quickly determine the severity based on the total score. When calculating the average score of the pre-resting stage, a segmented linear gradient design is used to ensure that the score conforms to the gradual change characteristics of physiological parameters and the pathological progression of pelvic floor EMG. The deduction for each unit of variation is fixed, conforming to the linear growth law of risk. Each segment is set with a different slope, providing continuous gradient changes in the safe zone of low tension (a1≤4), allowing the score to capture subtle variations of 0-4μV. In the abnormal zone (4<a1<10), a steeper linear descent amplifies the abnormal signal, strengthening the score's response to high tension. Continuity is maintained at the critical threshold point (a1=4), providing a smooth transition for the score and avoiding score jumps at the threshold point. When calculating the variability score of the pre-resting stage, a linear design is also used to provide continuous gradient changes, allowing the score to distinguish subtle stability differences in low variability. At the same time, the score is continuous throughout when b1>0, conforming to the gradual change characteristics of physiological parameters. The above calculation rules enable continuous scoring of the pre-resting phase, improving accuracy, reducing computational complexity, and enhancing the scoring's response to anomalies.

[0008] Furthermore, the calculation steps for the fast-twitch phase score are as follows: To obtain the contraction time t1, maximum electromyographic value c1, and relaxation time t2 during the fast-twitch phase, let the fast-twitch phase score be S2, where S2 = V4 × 40% + V3 × 30% + V5 × 30%, and V3 represents the contraction time score, V4 represents the maximum electromyographic value score, and V5 represents the relaxation time score. When 0 < t1 ≤ 0.5, ; When 0.5 < t1 ≤ 2, ; When t1 > 2, V3 = 0; When 0 < c1 ≤ 20, V4 = 1.5 × c1; When 20 < c1 ≤ 30, V4 = 2 × c1 - 10; When 30 < c1 ≤ 40, V4 = 2.5 × c1 - 25; When 40 < c1 ≤ 45, V4 = 5 × (c1 - 40) + 75; When c1 > 45, V4 = 100; When 0 < t2 ≤ 0.5, ; When 0.5 < t2 ≤ 2, ; When t2 > 2, V5 = 0.

[0009] In the above scheme, when calculating the contraction time score of the fast-twitch muscle phase, subjective electromyographic data is converted into objective values, avoiding the bias of human judgment. Pelvic floor muscle dysfunction (such as stress urinary incontinence) often manifests as delayed contraction or relaxation. In pelvic floor muscle training (such as Kegel exercises), rapid contraction and relaxation are also core indicators. The formula takes time (seconds) as input and outputs standardized scores (such as V3 and V5). For example, t1 ≤ 0.5 seconds may correspond to a high score (ideal value), while t1 > 2 seconds directly results in 0 points, highlighting the criticality of "rapid response" for the fast-twitch muscle fibers of the pelvic floor (fast-twitch fibers are responsible for instantaneous contraction to prevent urinary leakage). The threshold design of the formula (such as interval processing) filters out measurement errors and ensures stable assessment.

[0010] When calculating the maximum score in the fast-twitch phase, different slopes were used for different intervals of the electromyographic maximum value, and the slope gradually increased, which enhanced the scoring incentive of high-intensity contraction. Furthermore, the threshold setting was in line with clinical goals and physiological characteristics, thus improving the accuracy of the maximum score.

[0011] When calculating the relaxation time score during the fast-twitch muscle phase, pelvic floor muscle dysfunction often leads to an imbalance in pelvic floor support due to delayed relaxation of fast-twitch fibers. Rapid relaxation is a key indicator for avoiding muscle fatigue and maintaining dynamic balance. In the formula, t2 ≤ 0.5 seconds corresponds to the ideal relaxation time, encouraging subjects to achieve rapid relaxation. The interval 0.5 < t2 ≤ 2 seconds reflects a gradual decrease in relaxation efficiency through decreasing scores, consistent with the gradual change in physiological relaxation speed. When t2 > 2 seconds, V5 = 0, clearly defining the threshold for functional abnormality and reinforcing the rigor of rapid relaxation as a core assessment dimension.

[0012] Furthermore, the calculation steps for the slow-twitch phase score are as follows: Obtain the mean electromyography (EMG) value a2 and the EMG variability value b2 during the slow-twitch phase. Let the score for the slow-twitch phase be S3, where S3 = V6 × 50% + V7 × 50%, and V6 represents the mean score for the slow-twitch phase, and V7 represents the variability score for the slow-twitch phase. When 0 < a2 ≤ 20, V6 = 3 × a2; When 20 < a2 ≤ 40, V6 = 60 + (a2 - 20) × 2; When a2 > 40, V6 = 100; When b2 > 0, V7 = 100 - 50 × b2; When b2≤0, V7=0.

[0013] In the above scheme, when calculating the average score of the slow muscle phase, a segmented linear gradient design is used to ensure that the score conforms to the gradual change characteristics of physiological parameters and the pathological progression of pelvic floor electromyography. Furthermore, the deduction for unit variability is fixed, conforming to the linear growth law of risk. Different slopes are set for each segment: a high slope is used in the interval (0-20μV) to rapidly improve the score of patients with low function, and the slope decreases in the interval (20-40μV) to prevent inflated scores in high-zone areas. This achieves stepwise gain adjustment and linear constraint of stability, improving the accuracy of the score. Similarly, when calculating the variability score of the slow muscle phase, a continuous gradient change is provided, allowing the score to distinguish subtle stability differences in low variability. Simultaneously, the score remains continuous throughout when b2 > 0, conforming to the gradual change characteristics of physiological parameters.

[0014] Furthermore, the calculation steps for the endurance stage score are as follows: To obtain the electromyography (EMG) data during the endurance phase, the mean EMG value a3 and the EMG variability value b3 are calculated. Let the endurance phase score be S4, where S4 = V8 × 50% + V9 × 50%, and V8 represents the mean score of the endurance phase, and V9 represents the variability score of the endurance phase. When a3≤15, V8=5×a3; When 15 < a3 ≤ 25, V8 = 80 + a3 - 15; When 25 < a3 ≤ 35 ; When 35 < a3 ≤ 65 ; When a3 > 65, V8 = 100; When b3 > 0, V9 = 100 - 50 × b3; When b3≤0, V9=0.

[0015] In the above scheme, when calculating the average score of the endurance phase, a segmented linear gradient design is used to ensure that the score conforms to the gradual change characteristics of physiological parameters and the pathological progression of pelvic floor electromyography. Furthermore, the deduction for unit variation is fixed, conforming to the linear growth law of risk. Each segment has a different slope, decreasing progressively. In the range (0-15μV), a high slope rapidly establishes function; in the range (15-25μV), a lower slope prevents inflated scores; in the range (25-35μV), a medium slope finely optimizes the score; and in the range (35-65μV), a low slope inhibits excessive muscle strength pursuit and focuses on stability, making the score more consistent with the functional characteristics of slow-twitch muscle fibers. Similarly, when calculating the variability score of the endurance phase, a continuous gradient is provided, allowing the score to distinguish subtle stability differences with low variability. Simultaneously, the score remains continuous throughout when b3 > 0, conforming to the gradual change characteristics of physiological parameters.

[0016] Furthermore, the calculation steps for the post-resting phase score are as follows: Obtain the mean electromyography (EMG) value a4 and the EMG variability value b4 from the post-resting phase EMG data. Let the post-resting phase score be S5, then S5 = V10 × 50% + V11 × 50%, where V10 represents the mean score of the post-resting phase and V11 represents the variability score of the post-resting phase. When a4≤4, V10=100-(5×a4); When 4 < a4 < 10, V10 = 80 - (a4 - 4) × 10; When a4 > 10, V10 = 0; When b4 > 0, V11 = 100 - 50 × b4; When b4≤0, V11=0.

[0017] In the above scheme, when calculating the average score after the resting phase, a piecewise linear gradient design is used to ensure that the score conforms to the gradual change characteristics of physiological parameters and the pathological progression of pelvic floor electromyography. The deduction for each unit of variation is fixed, which conforms to the linear growth law of risk. Each segment is set with a different slope, which allows the score to capture subtle variations of 0-4μV and enhance the score's response to high tension. It maintains continuity at the critical threshold point (a1=4), providing a smooth transition for the score and avoiding score jumps at the threshold point. Similarly, when calculating the variability score after the resting phase, a continuous gradient change is provided, which allows the score to distinguish subtle stability differences with low variability. At the same time, it is continuous throughout when b4>0, which conforms to the gradual change characteristics of physiological parameters.

[0018] Furthermore, the calculation steps for the variability of electromyographic data during the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase are as follows: Calculate the average electromyographic value 'a' of the electromyographic data during the corresponding detection phase: ; in, represents the i-th electromyographic value in the corresponding detection phase, and n represents the number of electromyographic values ​​in the corresponding detection phase; Calculate the squared difference (VAR) of the differences in the mean electromyography (EMG) values ​​(a): ; Calculate the standard deviation SD: ; Calculate the electromyographic variability value b of the electromyographic data during the corresponding detection phase: .

[0019] In the above scheme, by standardizing the degree of variation to a percentage of the mean, it conforms to the specifications of biological signal processing and realizes cross-signal intensity scoring, which enables the scoring to accurately and fairly quantify the stability of different detection stages; by calculating the standard deviation, the sensitivity of the variation value to abnormal fluctuations is improved in the low intensity range.

[0020] Furthermore, the formula for calculating the total score of the electromyographic signal is as follows: T=S1×10%+S2×30%+S3×30%+S4×20%+S5×10%; Where T represents the total score of electromyography signal, S1 represents the score of the pre-resting phase, S2 represents the score of the fast-twitch phase, S3 represents the score of the slow-twitch phase, S4 represents the score of the endurance phase, and S5 represents the score of the post-resting phase.

[0021] In the above scheme, by assigning different weights, it can be ensured that the total score always reflects the degree of pelvic floor core functional impairment, thereby improving the accuracy of pelvic floor muscle electrophysiological scoring.

[0022] Furthermore, the method also includes: Based on the range of scores in each stage, the scores of each stage are mapped to the corresponding levels.

[0023] In the above scheme, by mapping the stage scores to levels, physicians are spared the need to memorize a large number of continuous thresholds, which improves the diagnostic speed and achieves the unification of scoring standards for different testing stages.

[0024] In a second aspect, the present invention provides a method for quantitative scoring of pelvic floor electromyography signals, applied to the pelvic floor electromyography signal quantitative scoring system as described in the first aspect, the method comprising: Obtain electromyographic signals of the pelvic floor muscles; The electromyographic signals are divided into multiple detection stages and converted into digital signals to obtain electromyographic data corresponding to each detection stage. The detection stages include the pre-resting stage, fast-twitch stage, slow-twitch stage, endurance stage, and post-resting stage. The mean score and variability score for the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase are calculated based on the corresponding electromyography (EMG) data. The mean score and variability score are then weighted and summed to obtain the pre-resting phase score, slow-twitch phase score, endurance phase score, and post-resting phase score, respectively. The contraction time score, maximum value score, and relaxation time score for the fast-twitch phase are calculated based on the corresponding EMG data. The contraction time score, maximum value score, and relaxation time score are then weighted and summed to obtain the fast-twitch phase score. The total score of the EMG signal is obtained by weighting and summing the pre-resting phase score, fast-twitch phase score, slow-twitch phase score, endurance phase score, and post-resting phase score. The calculation steps for the pre-resting phase score are as follows: Obtain the mean electromyography (EMG) value a1 and the EMG variability value b1 during the pre-resting phase. Let the pre-resting phase score be S1, where S1 = V1 × 50% + V2 × 50%; where V1 represents the mean score of the pre-resting phase and V2 represents the variability score of the pre-resting phase. When a1≤4, V1=100-(5×a1); When 4 < a1 < 10, V1 = 80 - (a1 - 4) × 10; When a1 > 10, V1 = 0; When b1 > 0, V2 = 100 - 50 × b1; When b1≤0, V2=0.

[0025] Thirdly, the present invention provides a computer-readable storage medium storing a computer program that, when run, implements the steps of the pelvic floor electromyography signal quantification scoring method as described in the second aspect.

[0026] The beneficial effects of this invention are as follows: The pelvic floor electromyography (EMG) signal quantitative scoring system, method, and storage medium provided by this invention achieve quantitative evaluation of pelvic floor EMG signals by calculating the stage scores of each detection stage and performing weighted summation, enabling doctors to quickly determine the severity based on the total score. When calculating the average score of each detection stage, a piecewise linear gradient design ensures that the scoring conforms to the gradual change characteristics of physiological parameters and the pathological progression law of pelvic floor EMG, with a fixed deduction for each unit of variation, conforming to the linear growth law of risk. When calculating the variability score of each detection stage, a continuous gradient change is provided, enabling the scoring to distinguish subtle stability differences with low variability, while continuous scoring throughout when the variability value is >0, conforming to the gradual change characteristics of physiological parameters. Through the scoring rules provided by this invention, accurate scoring of each detection stage is achieved, improving accuracy, reducing computational complexity, and enhancing the scoring's response to abnormal areas. Attached Figure Description

[0027] Figure 1 A schematic diagram of the pelvic floor electromyography signal quantification scoring system provided in the embodiment; Figure 2 A schematic diagram of the electromyographic signal in stages provided for the embodiment; Figure 3 This is a schematic diagram of the total score calculation process for electromyography signals provided in the embodiment. Figure 4 A schematic diagram of the relationship curve between the average electromyography value a1 and the average score V1 provided for the embodiment; Figure 5 A schematic diagram of the relationship between the electromyographic variability value b1 and the variability score V2 provided for the embodiment; Figure 6 A schematic diagram of the relationship between contraction time t1 and contraction time score V3 provided in the example; Figure 7 A schematic diagram of the relationship between the maximum electromyographic value c1 and the maximum value score V4 provided for the embodiment; Figure 8 A schematic diagram of the relationship curve between relaxation time t2 and relaxation time score V5 provided in the embodiment; Figure 9 A schematic diagram of the relationship curve between the average electromyography value a2 and the average score V6 provided for the embodiment; Figure 10The diagram shows the relationship between the average electromyography value a3 and the average score V8 provided in the example. Detailed Implementation

[0028] To enable those skilled in the art to better understand the present invention, the technical solutions in this embodiment will be clearly and completely described below with reference to the accompanying drawings.

[0029] Currently, the calculation formulas used to quantify and score each stage of electromyography (EMG) signal detection suffer from problems such as high complexity, discontinuous scoring jumps, inability to distinguish subtle differences in the low range, and weak response in the high range.

[0030] Based on this, the technical solution of this invention is proposed. In this invention, the pre-resting phase score, slow-twitch phase score, endurance phase score, and post-resting phase score are calculated based on the contraction time score, maximum value score, and relaxation time score, according to the corresponding average score and variability score. The fast-twitch phase score is calculated based on the contraction time score, maximum value score, and relaxation time score. Finally, the scores of each detection phase are weighted and summed to obtain the total score of the electromyography signal. Through the above scheme, accurate quantitative evaluation of pelvic floor electromyography signals is achieved, enabling doctors to quickly determine the severity based on the total score. Furthermore, when calculating the pre-resting phase score, the calculation rule provided by this invention uses a piecewise linear gradient design, making the score conform to the gradual change characteristics of physiological parameters and the pathological progression law of pelvic floor electromyography. The unit variability deduction is fixed, conforming to the linear growth law of risk. At the same time, different slopes are set in each segment, enabling the score to distinguish subtle differences in the low range and improve the response in the high range. In addition, it can avoid score jumps and achieve a smooth transition of the score.

[0031] The technical solutions in this embodiment will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0032] Figure 1 A schematic diagram of a pelvic floor electromyography (EMG) signal quantification and scoring system is shown below. Please refer to [link / reference]. Figure 1 The system includes: an acquisition unit, a processing unit, and a scoring unit.

[0033] The acquisition unit is used to acquire electromyographic signals of the pelvic floor muscles.

[0034] In practical applications, a vaginal electrode can be inserted into the woman's vagina, and the electrode can collect electromyographic signals of the pelvic floor muscles as they move.

[0035] The processing unit is used to divide the electromyographic signal into multiple detection stages and convert the electromyographic signal into a digital signal to obtain the electromyographic data corresponding to each detection stage.

[0036] Please see Figure 2 In this embodiment, the detection phase includes a pre-resting phase, a fast-twitch phase, a slow-twitch phase, an endurance phase, and a post-resting phase. In practical applications, the processing unit performs precise segmentation of the real-time acquired electromyographic signals according to the segmented evaluation method defined by the Galzer standard, converts the data from analog to digital, and stores each segment in a designated location. To improve data processing efficiency, multi-threaded parallel processing technology can be used to perform independent parsing and computation operations on each data segment.

[0037] The scoring unit is used to calculate the average score and variability score for the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase based on the corresponding electromyographic data. The average score and variability score are then weighted and summed to obtain the pre-resting phase score, slow-twitch phase score, endurance phase score, and post-resting phase score, respectively. Based on the electromyographic data corresponding to the fast-twitch phase, the unit calculates the contraction time score, maximum value score, and relaxation time score. The contraction time score, maximum value score, and relaxation time score are then weighted and summed to obtain the fast-twitch phase score. Finally, the pre-resting phase score, fast-twitch phase score, slow-twitch phase score, endurance phase score, and post-resting phase score are weighted and summed to obtain the total score of the electromyographic signal.

[0038] Please see Figure 3 This embodiment first determines the corresponding mean and variability values ​​of electromyography (EMG) data based on the pre-resting, slow-twitch, endurance, and post-resting phases. A mean score is calculated based on the mean EMG value, and a variability score is calculated based on the variability value. The mean and variability scores are then weighted and summed to obtain the pre-resting, slow-twitch, endurance, and post-resting phase scores. Next, based on the fast-twitch phase EMG data, the corresponding contraction time, maximum EMG value, and relaxation time are determined. A contraction time score is calculated based on the contraction time, a maximum EMG value score is calculated based on the maximum EMG value, and a relaxation time score is calculated based on the relaxation time. The contraction time score, maximum EMG value score, and relaxation time score are then weighted and summed to obtain the fast-twitch phase score. Finally, the pre-resting, fast-twitch, slow-twitch, endurance, and post-resting phase scores are weighted and summed to obtain the total EMG signal score. Physicians can use the total EMG signal score for rapid assessment and diagnosis of the pelvic floor muscles.

[0039] In this embodiment, let the average electromyographic (EMG) value of the corresponding detection stage be denoted as 'a'. The average EMG values ​​for the pre-resting stage, slow-twitch phase, endurance phase, and post-resting stage are a1, a2, a3, and a4, respectively. The formula for calculating the average EMG value 'a' for each detection stage is as follows: ; in, This represents the i-th electromyographic (EMG) value in the corresponding detection phase, expressed in μV without dimensioning. n represents the number of EMG values ​​in the corresponding detection phase. The calculated a is the average EMG value in μV, which is dimensionless.

[0040] Let the electromyographic variability value for the corresponding testing phase be b. The average electromyographic values ​​for the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase are b1, b2, b3, and b4, respectively. The calculation method for the electromyographic variability value b for each testing phase is as follows: Calculate the squared difference (VAR) of the differences between the corresponding electromyographic mean values ​​(a): ; Calculate the standard deviation SD: ; Calculate the electromyographic variability value b of the electromyographic data during the corresponding detection phase: .

[0041] The above calculation formula, by standardizing the degree of variation to a percentage of the mean, conforms to the specifications of biological signal processing and realizes cross-signal intensity scoring, enabling the scoring to accurately and fairly quantify the stability of different detection stages; by calculating the standard deviation (SD), the sensitivity of the variation value to abnormal fluctuations is improved in the low intensity range.

[0042] After calculating the average electromyography (EMG) value and EMG variability value for the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase using the above formula, the corresponding phase score can be calculated based on the corresponding average EMG value and EMG variability value.

[0043] In this embodiment, the calculation steps for the pre-resting phase score are as follows: Obtain the mean electromyography (EMG) value a1 and the EMG variability value b1 during the pre-resting phase. Let the pre-resting phase score be S1, where S1 = V1 × 50% + V2 × 50%; where V1 represents the mean score of the pre-resting phase and V2 represents the variability score of the pre-resting phase. When a1≤4, V1=100-(5×a1); When 4 < a1 < 10, V1 = 80 - (a1 - 4) × 10; When a1 > 10, V1 = 0; When b1 > 0, V2 = 100 - 50 × b1; When b1≤0, V2=0.

[0044] According to the Glazer report assessment indicators, a high mean EMG value (0-4 μV) during the pre-resting phase suggests a possible hyperactive pelvic floor. This embodiment designs a piecewise linear function for different ranges of the mean EMG value a1. The linear formula is easy to implement and has a fast calculation speed. When a1 ≤ 4, a continuous gradient change is provided to distinguish subtle differences in the low range, enabling the score to identify early pathology, such as mild myofascial tension, reflected by small changes in the low range (0-4 μV). When 4 < a1 < 10, a steeper linear decrease corresponds to the mean score V1, amplifying the abnormal signal and improving the response of the mean score V1 to the high range. When a1 > 10, a boundary is set for the high value, clearly identifying severe functional impairment. For the relationship curve between the mean EMG value a1 and the mean score V1 according to the calculation rules of the mean score V1, please refer to [link to relevant documentation]. Figure 4 .

[0045] According to the Glazer report assessment indicators, an electromyographic variability value (EMG) b1 > 0.2 during the pre-resting phase indicates poor muscle stability at rest. In this embodiment, when b1 > 0, a linear function is used to calculate the corresponding variability score V2. The linear formula is easy to implement, fast to calculate, and the entire scoring is continuous, avoiding large score variations caused by small measurement errors at discontinuities. The relationship curve between the EMG variability value b1 and the variability score V2, based on the calculation rules for V2, can be found in the provided text. Figure 5 .

[0046] In this embodiment, the calculation steps for the fast-twitch phase score are as follows: To obtain the contraction time t1, maximum electromyographic value c1, and relaxation time t2 during the fast-twitch phase, let the fast-twitch phase score be S2, where S2 = V4 × 40% + V3 × 30% + V5 × 30%, and V3 represents the contraction time score, V4 represents the maximum electromyographic value score, and V5 represents the relaxation time score. When 0 < t1 ≤ 0.5, ; When 0.5 < t1 ≤ 2, ; When t1 > 2, V3 = 0; When 0 < c1 ≤ 20, V4 = 1.5 × c1; When 20 < c1 ≤ 30, V4 = 2 × c1 - 10; When 30 < c1 ≤ 40, V4 = 2.5 × c1 - 25; When 40 < c1 ≤ 45, V4 = 5 × (c1 - 40) + 75; When c1 > 45, V4 = 100; When 0 < t2 ≤ 0.5, ; When 0.5 < t2 ≤ 2, ; When t2 > 2, V5 = 0.

[0047] In the above calculation rules, t1 is the value of the contraction time in seconds, t2 is the value of the relaxation time in seconds, and c1 is the value of the maximum electromyography value in μV. The calculation is performed without taking dimensions into account.

[0048] According to the Glazer report assessment indicators, a contraction time > 0.5 seconds in the fast-twitch muscle phase indicates slow fast-twitch recruitment. This embodiment designs a piecewise linear function for different ranges of contraction time t1. The linear formula is easy to implement and has a fast calculation speed. When 0 < t1 ≤ 0.5, the contraction time score V3 increases with increasing t1. This is because a shorter contraction time reflects the instantaneous recruitment capacity of fast-twitch muscle fibers. When t1 is close to 0, measurement distortion may occur due to insufficient sensitivity of electromyography signal acquisition or insufficient muscle activation. This has the advantage of preventing misjudgment of "ultra-fast contraction" as an invalid movement due to equipment precision limitations, guiding patients to complete an effective contraction of at least 0.2 seconds. When 0.5 < t1 ≤ 2, the contraction time score V3 decreases with increasing t1. This is because the Glazer standard clearly indicates that t1 > 0.5 seconds indicates delayed fast-twitch recruitment. This has the advantage of clearly indicating a delay in fast-twitch recruitment (such as decreased nerve conduction velocity, insufficient muscle synergy, or low motor unit recruitment efficiency). In this case, the longer the contraction time, the more significant the impairment of fast-twitch muscle function. According to the calculation rules for contraction time score V3, the relationship curve between contraction time t1 and contraction time score V3 can be found in [reference needed]. Figure 6 .

[0049] This embodiment designs a piecewise linear function for different ranges of the maximum electromyography (EMG) value c1. The linear formula is easy to implement and has a fast calculation speed. In the lower range (c1≤20), the gain is small (1.5). As c1 increases, the slope gradually increases (2, 2.5, 5), with the largest slope in the high-value range (40-45). That is, for every unit increase in c1, the score increases by 5 points, providing a greater score reward at the high-level stage (above 40), making the maximum score V4 more targeted. Furthermore, the maximum score V4 is continuous across all segments, avoiding score jumps. For the relationship curve between the maximum EMG value c1 and the maximum score V4 according to the calculation rules of the maximum score V4, please refer to [link to relevant documentation]. Figure 7 .

[0050] This embodiment designs a piecewise linear function for different ranges of relaxation time t2. The linear formula is easy to implement and the calculation speed is fast. Similar to the contraction time score V3, when 0 < t2 ≤ 0.5, the relaxation time score V5 increases with t2. This is because a too short relaxation time (e.g., t2 < 0.2 seconds) may reflect incomplete muscle relaxation (e.g., high-tension pelvic floor muscles), leading to a decrease in repetitive contraction efficiency. The advantage of this is to avoid ignoring muscle spasms (e.g., patients with chronic pelvic pain) due to "false rapid relaxation," guiding patients to maintain a relaxation period of 0.3-0.5 seconds. When 0.5 < t2 ≤ 2, the relaxation time score V5 decreases with t2. This is because t2 > 0.5 seconds indicates delayed deactivation of fast-twitch muscle fibers, and the decrease in V5 directly reflects the risk of accumulated muscle fatigue. The advantage of this is to quantify fatigue compensation, prevent sports injuries, and provide an early warning of a decrease in score, as long relaxation time is positively correlated with the risk of pelvic floor muscle strain. For the relationship curve between relaxation time t2 and relaxation time score V5 according to the calculation rules of relaxation time score V5, please refer to [link to relevant documentation]. Figure 8 .

[0051] The above calculation steps calculate the fast-twitch phase score using three key parameters: contraction time, maximum electromyography value, and relaxation time. This comprehensively assesses the explosive power, intensity, and recovery ability of fast-twitch muscles, avoiding bias from a single indicator.

[0052] In this embodiment, the calculation steps for the slow-twitch phase score are as follows: Obtain the mean electromyography (EMG) value a2 and the EMG variability value b2 during the slow-twitch phase. Let the score for the slow-twitch phase be S3, where S3 = V6 × 50% + V7 × 50%, and V6 represents the mean score for the slow-twitch phase, and V7 represents the variability score for the slow-twitch phase. When 0 < a2 ≤ 20, V6 = 3 × a2; When 20 < a2 ≤ 40, V6 = 60 + (a2 - 20) × 2; When a2 > 40, V6 = 100; When b2 > 0, V7 = 100 - 50 × b2; When b2≤0, V7=0.

[0053] According to the Glazer Report assessment indicators, in the slow-twitch muscle phase, an average electromyography (EMG) value <30 μV indicates decreased slow-twitch muscle contraction ability. This embodiment designs a piecewise linear function for different ranges of the average EMG value a2. The linear formula is easy to implement and has a fast calculation speed. When 0 < a2 ≤ 20, a high slope is used, resulting in a strong response of the average score V6 to a2, rapidly improving the scores of low-functioning patients. When 20 < a2 ≤ 40, a lower slope is used to reduce the response of the average score V6 to a2, preventing inflated scores in high-division areas. This achieves stepwise gain adjustment and stability linear constraints, improving the accuracy of the scoring. For the relationship curve between the average EMG value a2 and the average score V6, please refer to the calculation rules for the average score V6. Figure 9 .

[0054] According to the Glazer report assessment indicators, the electromyographic variability (EMG) value > 0.2 in the slow-motion phase, similar to the pre-resting phase, indicates poor muscle stability at rest. In this embodiment, the EMG variability value b2 is used to calculate the variability score V7 in the slow-motion phase using the same method as in the pre-resting phase. The relationship curve between the EMG variability value b2 and the variability score V7 is shown in the figure. Figure 5 The same applies, and will not be repeated in this embodiment.

[0055] In this embodiment, the calculation steps for the endurance stage score are as follows: To obtain the electromyography (EMG) data during the endurance phase, the mean EMG value a3 and the EMG variability value b3 are calculated. Let the endurance phase score be S4, where S4 = V8 × 50% + V9 × 50%, and V8 represents the mean score of the endurance phase, and V9 represents the variability score of the endurance phase. When a3≤15, V8=5×a3; When 15 < a3 ≤ 25, V8 = 80 + a3 - 15; When 25 < a3 ≤ 35 ; When 35 < a3 ≤ 65 ; When a3 > 65, V8 = 100; When b3 > 0, V9 = 100 - 50 × b3; When b3≤0, V9=0.

[0056] According to the Glazer report assessment indicators, during the endurance phase, an average electromyography (EMG) value <25 μV indicates a decline in slow-twitch muscle contraction ability. This embodiment designs a piecewise linear function for different ranges of the average EMG value a3, ensuring the score conforms to the gradual changes in physiological parameters and the pathological progression of pelvic floor EMG. Furthermore, the linear formula is easy to implement and computationally fast. Each segment has a different slope, decreasing progressively. When a3 ≤ 15, a high slope rapidly establishes function; when 15 < a3 ≤ 25, a lower slope prevents inflated scores; when 25 < a3 ≤ 35, a medium slope finely optimizes the score; and when 35 < a3 ≤ 65, a low slope inhibits excessive muscle strength pursuit and focuses on stability, making the score more closely reflect the functional characteristics of slow-twitch muscles. For the relationship curve between the average EMG value a3 and the average score V8, please refer to [link to relevant documentation]. Figure 10 .

[0057] According to the Glazer report assessment indicators, the endurance phase and the pre-resting phase are the same. An electromyographic variability value > 0.2 indicates poor muscle stability at rest. In this embodiment, the variability score V9 is calculated based on the electromyographic variability value b3 in the endurance phase using the same method as in the pre-resting phase. The relationship curve between the electromyographic variability value b3 and the variability score V9 is shown in the figure. Figure 5 The same applies, and will not be repeated in this embodiment.

[0058] In this embodiment, the calculation steps for the post-resting phase score are as follows: Obtain the mean electromyography (EMG) value a4 and the EMG variability value b4 from the post-resting phase EMG data. Let the post-resting phase score be S5, then S5 = V10 × 50% + V11 × 50%, where V10 represents the mean score of the post-resting phase and V11 represents the variability score of the post-resting phase. When a4≤4, V10=100-(5×a4); When 4 < a4 < 10, V10 = 80 - (a4 - 4) × 10; When a4 > 10, V10 = 0; When b4 > 0, V11 = 100 - 50 × b4; When b4≤0, V11=0.

[0059] According to the Glazer report assessment indicators, the post-resting phase was the same as the pre-resting phase, with a high mean electromyography (EMG) value (0-4 μV) suggesting possible hyperactive pelvic floor. In this embodiment, the mean score V10 was calculated based on the mean EMG value a4 during the post-resting phase using the same method as the pre-resting phase. The relationship curve between the mean EMG value a4 and the mean score V10 is shown in the figure. Figure 4 The same applies, and will not be repeated in this embodiment.

[0060] According to the Glazer report assessment indicators, the post-resting phase is the same as the pre-resting phase; an electromyographic variability value > 0.2 indicates poor muscle stability at rest. In this embodiment, the variability score V11 is calculated based on the electromyographic variability value b4 in the post-resting phase using the same method as in the pre-resting phase. The relationship curve between the electromyographic variability value b4 and the variability score V11 is shown in the figure. Figure 5 The same applies, and will not be repeated in this embodiment.

[0061] After calculating the scores for the pre-resting phase, fast-twitch phase, slow-twitch phase, endurance phase, and post-resting phase, the scores for each testing phase are weighted and summed to obtain the total electromyographic signal score. The calculation formula is as follows: T=S1×10%+S2×30%+S3×30%+S4×20%+S5×10%; Where T represents the total score of electromyography signal, S1 represents the score of the pre-resting phase, S2 represents the score of the fast-twitch phase, S3 represents the score of the slow-twitch phase, S4 represents the score of the endurance phase, and S5 represents the score of the post-resting phase.

[0062] It is understandable that the pre-resting phase primarily provides a baseline view of the pelvic floor muscles and is only of reference value for diagnosing overactive pelvic floor dysfunction; therefore, its weight allocation is relatively low, at 10%. The fast-twitch muscle phase plays a crucial role in urinary control, defecation, and sexual function, directly impacting quality of life and possessing quantitative diagnostic value for conditions such as urinary incontinence; therefore, its weight allocation is relatively high, at 30%. The slow-twitch muscle phase is responsible for maintaining the position of pelvic organs; its endurance is vital for support function and has predictive value for organ prolapse; therefore, its weight is the same as the fast-twitch phase, at 30%. The endurance phase is an extension of the slow-twitch muscle function, lower than both the fast-twitch and slow-twitch phases. Because it focuses more on functional extension rather than core indicators, its weight allocation is moderate, at 20%. The post-resting phase reflects muscle fatigue and recovery ability, but mainly serves as an auxiliary diagnostic indicator; therefore, its weight allocation is relatively low, at 10%. By using the above weighting values, it is ensured that the total score consistently reflects the degree of pelvic floor core dysfunction, thereby improving the accuracy of the pelvic floor muscle electrophysiological scoring. This embodiment focuses on dynamic function (fast-twitch and slow-twitch muscles) with 60% weight, covers endurance with 20% weight, and monitors basic condition with 20% weight, ensuring that the total score always reflects the degree of pelvic floor core functional impairment, thereby improving the accuracy of pelvic floor muscle electrophysiological scoring.

[0063] In summary, the pelvic floor electromyography (EMG) signal quantification scoring system provided in this embodiment divides EMG signals into five clearly defined detection stages based on Glazer Report Assessment. In the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase, the system comprehensively considers the mean and variability of EMG signals for scoring. In the fast-twitch phase, it comprehensively considers contraction time, maximum EMG value, and relaxation time for scoring. This multi-dimensional collaborative scoring improves the accuracy and comprehensiveness of the assessment. When calculating the score for each detection stage, a piecewise linear gradient design ensures that the scoring conforms to the gradual changes in physiological parameters and the pathological progression of pelvic floor EMG. Furthermore, the fixed deduction for unit variability aligns with the linear growth pattern of risk, improving the accuracy of the scores for each detection stage. The continuous mean and variability scores across each detection stage prevent small measurement errors at discontinuities from causing significant score variations. By assigning appropriate weights to the scores of each detection stage, a total score that consistently reflects the degree of pelvic floor core functional impairment can be calculated, making it easier for physicians to accurately assess and diagnose the health status of the pelvic floor muscles based on the total score.

[0064] Based on the above technical solution, this embodiment also proposes a method for quantitative scoring of pelvic floor electromyography signals, applied to the pelvic floor electromyography signal quantitative scoring system as described in this embodiment. The method includes: Obtain electromyographic signals of the pelvic floor muscles; The electromyographic signals are divided into multiple detection stages and converted into digital signals to obtain electromyographic data corresponding to each detection stage. The detection stages include the pre-resting stage, fast-twitch stage, slow-twitch stage, endurance stage, and post-resting stage. The mean score and variability score for the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase are calculated based on the corresponding electromyography (EMG) data. The mean score and variability score are then weighted and summed to obtain the pre-resting phase score, slow-twitch phase score, endurance phase score, and post-resting phase score, respectively. The contraction time score, maximum value score, and relaxation time score for the fast-twitch phase are calculated based on the corresponding EMG data. The contraction time score, maximum value score, and relaxation time score are then weighted and summed to obtain the fast-twitch phase score. The total score of the EMG signal is obtained by weighting and summing the pre-resting phase score, fast-twitch phase score, slow-twitch phase score, endurance phase score, and post-resting phase score. The calculation steps for the pre-resting phase score are as follows: Obtain the mean electromyography (EMG) value a1 and the EMG variability value b1 during the pre-resting phase. Let the pre-resting phase score be S1, where S1 = V1 × 50% + V2 × 50%; where V1 represents the mean score of the pre-resting phase and V2 represents the variability score of the pre-resting phase. When a1≤4, V1=100-(5×a1); When 4 < a1 < 10, V1 = 80 - (a1 - 4) × 10; When a1 > 10, V1 = 0; When b1 > 0, V2 = 100 - 50 × b1; When b1≤0, V2=0.

[0065] It is understood that since the pelvic floor electromyography signal quantification scoring method described in this embodiment is based on the pelvic floor electromyography signal quantification scoring system described in the embodiment, the method disclosed in the embodiment is relatively simple to describe because it corresponds to the system disclosed in the embodiment. For relevant parts, please refer to the description of the system.

[0066] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

Claims

1. A pelvic floor electromyography signal quantitative scoring system, characterized in that, The system includes: Acquisition unit, used to acquire electromyographic signals of the pelvic floor muscles; The processing unit is used to divide the electromyographic signal into multiple detection stages and convert the electromyographic signal into a digital signal to obtain electromyographic data corresponding to each detection stage. The detection stages include the pre-resting stage, fast-twitch stage, slow-twitch stage, endurance stage, and post-resting stage. The scoring unit is used to calculate the average score and variability score for the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase based on the corresponding electromyography (EMG) data. The average score and variability score are then weighted and summed to obtain the pre-resting phase score, slow-twitch phase score, endurance phase score, and post-resting phase score, respectively. The unit also calculates the contraction time score, maximum value score, and relaxation time score for the fast-twitch phase based on the corresponding EMG data. These scores are then weighted and summed to obtain the fast-twitch phase score. Finally, the pre-resting phase score, fast-twitch phase score, slow-twitch phase score, endurance phase score, and post-resting phase score are weighted and summed to obtain the total score for the EMG signal. The calculation steps for the pre-resting phase score are as follows: Obtain the mean electromyography (EMG) value a1 and the EMG variability value b1 during the pre-resting phase. Let the pre-resting phase score be S1, where S1 = V1 × 50% + V2 × 50%; where V1 represents the mean score of the pre-resting phase and V2 represents the variability score of the pre-resting phase. When a1≤4, V1=100-(5×a1); When 4 < a1 < 10, V1 = 80 - (a1 - 4) × 10; When a1 > 10, V1 = 0; When b1 > 0, V2 = 100 - 50 × b1; When b1≤0, V2=0; The calculation steps for the fast-twitch phase score are as follows: To obtain the contraction time t1, maximum electromyographic value c1, and relaxation time t2 during the fast-twitch phase, let the fast-twitch phase score be S2, where S2 = V4 × 40% + V3 × 30% + V5 × 30%, and V3 represents the contraction time score, V4 represents the maximum electromyographic value score, and V5 represents the relaxation time score. When 0 < t1 ≤ 0.5, ; When 0.5 < t1 ≤ 2, ; When t1 > 2, V3 = 0; When 0 < c1 ≤ 20, V4 = 1.5 × c1; When 20 < c1 ≤ 30, V4 = 2 × c1 - 10; When 30 < c1 ≤ 40, V4 = 2.5 × c1 - 25; When 40 < c1 ≤ 45, V4 = 5 × (c1 - 40) + 75; When c1 > 45, V4 = 100; When 0 < t2 ≤ 0.5, ; When 0.5 < t2 ≤ 2, ; When t2 > 2, V5 = 0; The calculation steps for the slow-twitch phase score are as follows: Obtain the mean electromyography (EMG) value a2 and the EMG variability value b2 during the slow-twitch phase. Let the score for the slow-twitch phase be S3, where S3 = V6 × 50% + V7 × 50%, and V6 represents the mean score for the slow-twitch phase, and V7 represents the variability score for the slow-twitch phase. When 0 < a2 ≤ 20, V6 = 3 × a2; When 20 < a2 ≤ 40, V6 = 60 + (a2 - 20) × 2; When a2 > 40, V6 = 100; When b2 > 0, V7 = 100 - 50 × b2; When b2≤0, V7=0; The calculation steps for the endurance stage score are as follows: Obtain the mean electromyography (EMG) value a3 and the EMG variability value b3 during the endurance phase. Let the endurance phase score be S4, where S4 = V8 × 50% + V9 × 50%, and V8 represents the mean score of the endurance phase, and V9 represents the variability score of the endurance phase. When a3≤15, V8=5×a3; When 15 < a3 ≤ 25, V8 = 80 + a3 - 15; When 25 < a3 ≤ 35 ; When 35 < a3 ≤ 65 ; When a3 > 65, V8 = 100; When b3 > 0, V9 = 100 - 50 × b3; When b3≤0, V9=0; The calculation steps for the post-resting phase score are as follows: Obtain the mean electromyography (EMG) value a4 and the EMG variability value b4 from the post-resting phase EMG data. Let the post-resting phase score be S5, then S5 = V10 × 50% + V11 × 50%, where V10 represents the mean score of the post-resting phase and V11 represents the variability score of the post-resting phase. When a4≤4, V10=100-(5×a4); When 4 < a4 < 10, V10 = 80 - (a4 - 4) × 10; When a4 > 10, V10 = 0; When b4 > 0, V11 = 100 - 50 × b4; When b4≤0, V11=0.

2. The pelvic floor electromyography signal quantitative scoring system according to claim 1, characterized in that, The steps for calculating the variability of electromyographic data during the pre-resting phase, slow-motion phase, endurance phase, and post-resting phase are as follows: Calculate the average electromyographic value 'a' of the electromyographic data during the corresponding detection phase: ； in, represents the i-th electromyographic value in the corresponding detection phase, and n represents the number of electromyographic values ​​in the corresponding detection phase; Calculate the squared difference (VAR) of the differences between each electromyography (EMG) value and the average EMG value (a): ； Calculate the standard deviation SD: ； Calculate the electromyographic variability value b of the electromyographic data during the corresponding detection phase: 。 3. The pelvic floor electromyography signal quantitative scoring system according to claim 1, characterized in that, The formula for calculating the total score of the electromyographic signal is as follows: T=S1×10%+S2×30%+S3×30%+S4×20%+S5×10%; Where T represents the total score of electromyography signal, S1 represents the score of the pre-resting phase, S2 represents the score of the fast-twitch phase, S3 represents the score of the slow-twitch phase, S4 represents the score of the endurance phase, and S5 represents the score of the post-resting phase.

4. A method for quantitative scoring of pelvic floor electromyography signals, characterized in that, The method, applied to the pelvic floor electromyography signal quantification and scoring system as described in any one of claims 1 to 3, comprises: Obtain electromyographic signals of the pelvic floor muscles; The electromyographic signals are divided into multiple detection stages and converted into digital signals to obtain electromyographic data corresponding to each detection stage. The detection stages include the pre-resting stage, fast-twitch stage, slow-twitch stage, endurance stage, and post-resting stage. The mean score and variability score for the pre-resting phase, slow-twitch phase, endurance phase, and post-resting phase are calculated based on the corresponding electromyography (EMG) data. The mean score and variability score are then weighted and summed to obtain the pre-resting phase score, slow-twitch phase score, endurance phase score, and post-resting phase score, respectively. The contraction time score, maximum value score, and relaxation time score for the fast-twitch phase are calculated based on the corresponding EMG data. The contraction time score, maximum value score, and relaxation time score are then weighted and summed to obtain the fast-twitch phase score. The total score of the EMG signal is obtained by weighting and summing the pre-resting phase score, fast-twitch phase score, slow-twitch phase score, endurance phase score, and post-resting phase score. The calculation steps for the pre-resting phase score are as follows: Obtain the mean electromyography (EMG) value a1 and the EMG variability value b1 during the pre-resting phase. Let the pre-resting phase score be S1, where S1 = V1 × 50% + V2 × 50%; where V1 represents the mean score of the pre-resting phase and V2 represents the variability score of the pre-resting phase. When a1≤4, V1=100-(5×a1); When 4 < a1 < 10, V1 = 80 - (a1 - 4) × 10; When a1 > 10, V1 = 0; When b1 > 0, V2 = 100 - 50 × b1; When b1≤0, V2=0.

5. The pelvic floor electromyography signal quantification and scoring method according to claim 4, characterized in that, The method further includes: Based on the range of scores in each stage, the scores of each stage are mapped to the corresponding levels.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed, implements the steps of the pelvic floor electromyography signal quantification scoring method as described in claim 4.

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