Evaluation system and method based on myoelectricity pressure conduction electrode multi-dimensional pelvic floor high tension

Abstract

The invention discloses an evaluation system and method based on myoelectricity pressure conduction electrode multi-dimensional pelvic floor high tension, and relates to the field of pelvic floor rehabilitation, the method comprises the following steps: inputting personal information and a training target, and retrieving personal historical data; the contact pressure is dynamically adjusted through inflation and deflation of the variable-diameter electrode, and electromyographic signals and pressure signals are synchronously collected; drawing a myoelectricity and pressure double-channel evaluation chart in real time; carrying out dynamic noise reduction processing on the acquired electromyographic signals and pressure signals, encrypting acquired data and personal information, and serializing the encrypted data and personal information into an evaluation file; according to the evaluation file, scores of pelvic floor muscles in all stages and all dimensions are calculated, and a total score is generated; and in combination with the scoring result and the personal historical data, generating personalized training suggestions, and displaying the evaluation result and the training suggestions through a visual chart. According to the method, a multi-dimensional scoring system is adopted, and various functional indexes of pelvic floor muscles are quantified; and intelligently matching the optimal scheme in the training suggestion library.

Description

Technical Field

[0001] The present invention relates to the field of pelvic floor rehabilitation, and in particular to a system and method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic pressure conduction electrodes. Background Art

[0002] Pelvic floor dysfunction is a common gynecological disease, and its incidence rate gradually increases with age and childbearing. Currently, the commonly used pelvic floor function assessment methods in clinical practice have many limitations. The traditional Glazer assessment method mainly relies on surface electromyography signal acquisition. Although it can reflect the electrical activity characteristics of the pelvic floor muscles, the assessment results are easily affected by subjective factors such as the patient's psychological state and muscle relaxation degree due to the use of only a single signal source, resulting in insufficient accuracy. Although the existing pressure biofeedback technology performs well in detecting the contraction ability of the pelvic floor muscles, it has poor assessment effect on the pelvic floor muscle function in the resting state and is difficult to fully reflect the actual functional state of the pelvic floor muscles. Due to the significant individual differences in the female pelvic floor structure, including differences in vaginal length, muscle relaxation, etc., traditional fixed-size electrodes are often difficult to achieve close fit with the vaginal wall, which not only affects the stability of signal acquisition, but may also lead to deviations in the assessment results. Most of the existing assessment systems only focus on a single functional indicator, such as muscle strength or pressure value, lack the ability to comprehensively assess the multidimensional function of the pelvic floor muscles, and cannot fully reflect the actual functional state of the pelvic floor muscles. In addition, current technologies generally have the problem of insufficient intelligence, and there is a lack of effective dynamic correlation mechanism between evaluation results and subsequent rehabilitation plans, making it difficult to provide patients with truly personalized rehabilitation guidance. Summary of the invention

[0003] The purpose of the present invention is to provide a multi-dimensional pelvic floor hypertonia evaluation system and method based on electromyographic pressure conduction electrodes to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solution: a method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes, the method comprising: Enter personal information and training goals, and retrieve personal historical data through unique identifiers; Demonstrate the correct placement of electrodes, guide users to correctly place the variable-diameter vaginal electrodes and adjust them to the appropriate body position, dynamically adjust the contact pressure through the variable-diameter electrodes inflating and deflation, and synchronously collect electromyographic signals and pressure signals; Based on the deserialized template file, the dual-channel evaluation chart of electromyography and pressure is drawn in real time to guide users to complete the pelvic floor muscle function assessment; Perform dynamic noise reduction on the collected electromyographic signals and pressure signals, encrypt the collected data and personal information, serialize them into evaluation files, and upload them to the storage module; According to the evaluation document, the scores of the pelvic floor muscles in various stages and dimensions are calculated through a multi-dimensional algorithm, and the total score is weighted to generate the total score; the stages include the pre-maximal tolerance stage, the pre-resting stage, the fast muscle stage, the slow muscle stage, the sustained contraction stage, the post-resting stage, and the post-maximal tolerance stage; the dimensions include endurance, explosive power, relaxation, fatigue resistance, stability, and tolerance; Combine the scoring results with personal historical data to generate personalized training suggestions, and display the evaluation results and training suggestions through visual charts.

[0005] According to the above, based on the unique identifier, detecting whether personal historical data is stored; When personal history data is detected, the encrypted personal history data is decrypted and desensitized, personal basic information, health status and medical records are extracted, and an editable form is displayed for users to view, confirm and modify; When no personal historical data is detected, a blank personal information filling form is displayed for the user to fill in, and the user's personal information is collected and associated with the user's unique identifier, and stored in the storage module after encryption.

[0006] According to the above content, the method of demonstrating the correct electrode placement includes: displaying the placement steps of the variable diameter vaginal electrode through a visual interface, the steps including the insertion angle and depth of the variable diameter vaginal electrode, the initial position before the airbag is inflated, and the body position adjustment suggestions; during the signal acquisition process, when the baseline noise or pressure fluctuation of the electromyographic signal exceeds the preset threshold, a prompt is automatically triggered to guide the user to readjust the position of the variable diameter vaginal electrode; The dynamic adjustment of contact pressure includes: slowly inflating a variable diameter vaginal electrode airbag, monitoring the pressure value in real time, and the user feedbacks the pain threshold through a visual interface button, and records the previous maximum tolerance value; when the pressure value exceeds a preset threshold, the inflation is automatically stopped; according to the previous maximum tolerance value, the variable diameter vaginal electrode airbag is slowly deflated to a target pressure value, and the target pressure value is a safety range value calculated based on a preset safety factor and the previous maximum tolerance value, and the formula is: PX=Front_MAX×P_RATE, wherein PX represents the target pressure value, Front_MAX represents the previous maximum tolerance value, and P_RATE represents the preset safety factor; The deserialized template file includes a Protobuf format template file in binary encoding, which is deserialized into a two-dimensional array containing a timestamp, an electromyography template value, and a pressure template value; The real-time drawing of the electromyography and pressure dual-channel evaluation chart includes using the timestamp T as the chart's X-axis and the electromyography value and the pressure value as the chart's Y-axis dual-channel; the evaluation chart simultaneously displays the template data and the real-time collected user data; Guiding the user to complete the pelvic floor muscle function assessment includes guiding the user's actions in stages according to the template file, completing multi-stage data collection, and comparing the real-time collected user data with the template curve, and providing feedback on the action accuracy through color or waveform matching; After all phases of data collection are completed, the variable diameter vaginal electrode balloon is slowly inflated again, and the maximum tolerance value is recorded to calculate the tolerance change.

[0007] According to the above content, the dynamic noise reduction processing of the collected electromyographic signals and pressure signals includes: The dynamic noise reduction includes marking the data in the electromyographic signal and the pressure signal that exceeds the valid range as abnormal and eliminating them, the valid range of the electromyographic signal is limited to [0μV, 100μV], and the valid range of the pressure signal is limited to [0mmHg, (Front_MAX+100)mmHg], where Front_MAX represents the front maximum tolerance value; and reassigning the processed signals to pelvic floor electromyographic values ​​and pelvic floor pressure values.

[0008] According to the above content, the collected data and personal information are encrypted and serialized into an evaluation file, including: The collected data and personal information are combined into an array rawJson, the array rawJson is sorted in ascending order according to ASCII code, a key-value pair string strA is generated, and a preset 16-bit key is concatenated to generate strB; an MD5 hash operation is performed on strB to convert it into an uppercase string strC as a data signature; strC is encrypted by AES using a specific key and offset to generate a ciphertext strD; strD is Base64 encoded to finally generate an encrypted string; the encrypted data is serialized into a binary file using the Protobuf format, and the binary file is an evaluation file; The evaluation file is bound to the user's unique identifier, uploaded to the storage module through the communication protocol and recorded in the log.

[0009] According to the above content, the score of the pre-maximum tolerance stage is graded and evaluated according to the pre-maximum tolerance value, and the score result is positively correlated with the pre-maximum tolerance value. When it is lower than the set lower limit, the score is zero, and when it reaches or exceeds the upper limit, a full score is obtained; The pre-resting stage score comprehensively evaluates the functional performance of the pelvic floor muscles in a relaxed state, including the average electromyographic value, electromyographic variability, average pressure value, and pressure variability; The fast muscle phase score evaluates the rapid contraction ability of the pelvic floor muscles, including the maximum electromyographic value, the electromyographic slope during the ascending phase, the ratio of the maximum pressure to the previous maximum tolerance, and the pressure slope during the ascending phase; The slow muscle phase score evaluates the sustained contraction ability of the pelvic floor muscles, including the average EMG value during the contraction phase, the EMG variability during the contraction phase, the EMG slope during the ascending phase, the average pressure value during the contraction phase, the pressure variability during the contraction phase, the pressure slope during the ascending phase, and the ratio of the average pressure value during the contraction phase to the previous maximum tolerance; The continuous contraction stage score evaluates the anti-fatigue characteristics of the pelvic floor muscles, including the average electromyographic value during the contraction stage, the electromyographic variability during the contraction stage, the ratio of the average electromyographic value in the first 10 seconds after the contraction stage, the average pressure during the contraction stage, the pressure variability during the contraction stage, the ratio of the average pressure in the first 10 seconds after the contraction stage, and the ratio of the average pressure during the contraction stage to the maximum tolerance before the contraction stage; The post-resting stage score evaluates the relaxation state of the pelvic floor muscles, using the same evaluation system and indicator weights as the pre-resting stage, and is used to compare changes in the relaxation ability of the pelvic floor muscles before and after the evaluation; In the post-maximum tolerance stage, changes in tolerance are assessed, and the absolute value score and relative change score are calculated by combining the pre-maximum tolerance value and the post-maximum tolerance value.

[0010] According to the above content, the endurance is the score of the slow muscle stage; the explosive power is the score of the fast muscle stage; the relaxation is the average score of the previous and subsequent resting stages; the fatigue resistance is the score of the sustained contraction stage; the stability is the weighted score of the comprehensive coefficient of variation of each stage; and the tolerance is the average score of three tolerance tests.

[0011] Based on the above, comprehensively analyze the results of each dimension, each stage and the total score, combine personal historical data and training goals, identify scores below the standard threshold, and mark key indicators of continued deterioration; Match basic training suggestions according to the main training goals, determine the training focus based on multi-dimensional scoring defects, and generate personalized training suggestions based on personal historical data; The radar chart displays the scores of the six dimensions, using different colors to distinguish the current score from the historical average. The stage comparison line chart displays the average electromyography and pressure values ​​of the resting stage before and after, and marks the improvement or deterioration trend. A training suggestion is generated, wherein the training suggestion displays the training suggestions and key points in a structured manner.

[0012] An evaluation system for multi-dimensional pelvic floor hypertonia based on electromyographic pressure conduction electrodes, the system comprising: a data acquisition module, a storage module, an evaluation and analysis module, a program generation module, a visualization module and a data communication module; The data acquisition module includes an electrode control module, a multi-channel acquisition module and a quality detection module; the electrode control module accurately controls the inflation and deflation process of the airbag of the variable diameter vaginal electrode, and dynamically maintains the optimal contact pressure through real-time pressure monitoring and user pain threshold feedback; the multi-channel acquisition module is used to synchronously collect electromyographic signals and pressure signals; the quality detection module is used to analyze the signal-to-noise ratio of the original signal in real time, and trigger a readjustment prompt when an abnormality occurs; The storage module includes a personal data storage module and a training suggestion library; the personal data storage module adopts a hierarchical encrypted storage architecture to establish an independent data directory according to the user's unique identifier; the training suggestion library stores clinically verified training suggestions in a structured manner; The evaluation and analysis module includes a stage scoring module, a dimension scoring module and a total scoring module; the stage scoring module is used to calculate the scores of each stage; the dimension scoring module is used to calculate the scores of each dimension; the total scoring module obtains the total score through weighted calculation; The solution generation module combines the scoring results and the training objectives, matches the training suggestions in the training suggestion library, and generates personalized training suggestions based on historical personal data; The visualization module includes a guidance module, a real-time chart module and a result display module; the guidance module is used to display the evaluation steps and provide stage action guidance; the real-time chart module is used to draw a dual-channel evaluation curve; the result display module displays a radar chart and a stage comparison line and generates training suggestions; The data communication module encrypts and transmits data through the communication protocol, and processes the serialization and deserialization of Protobuf binary data to complete the data communication between various modules.

[0013] According to the above content, the independent data directory stores user personal information, evaluation files and training suggestions in an associated manner; implements data access permission control based on the user's unique identifier; establishes a primary index through the user's unique identifier, and uses the timestamp as an auxiliary index to associate multiple groups of evaluation data of the same user; Establish a bidirectional association index between evaluation files and training suggestions to achieve intelligent matching and reverse tracing of evaluation results and training suggestions.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention synchronously collects electromyographic signals and pressure signals, combines dynamic contraction and resting state data, and realizes a comprehensive assessment of pelvic floor function; 2. Use variable diameter vaginal electrodes to dynamically adjust contact pressure by inflating and deflating the airbag to ensure that the electrode fits tightly against the vaginal wall and improve signal acquisition stability; 3. The present invention adopts a multidimensional scoring system to quantify various functional indicators of the pelvic floor muscles; 4. Intelligently match the best solution in the training suggestion library, and realize dynamic optimization of evaluation results and rehabilitation effects through bidirectional indexing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flowchart of the steps of the method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic pressure conduction electrodes of the present invention; Figure 2 It is a schematic structural diagram of a multi-dimensional pelvic floor hypertonia evaluation system based on electromyographic pressure conduction electrodes of the present invention; Figure 3 The present invention is a flowchart of the pelvic floor muscle assessment steps of the method for assessing multi-dimensional pelvic floor hypertonia based on electromyographic pressure conduction electrodes. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example: Figure 1-Figure 3 As shown, the present invention provides a technical solution, a method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic pressure conduction electrodes, the method comprising: Enter personal information and training goals, and retrieve personal historical data through unique identifiers; Specifically, the user enters a unique identifier through a visual interface, and the unique identifier includes but is not limited to a user ID, an identity card number, a medical insurance card number, or a mobile phone number obtained after the user's authorization; based on the unique identifier, it is detected whether personal historical data is stored; when personal historical data is detected, the encrypted personal historical data is decrypted and desensitized, and personal basic information, health status, and medical records are extracted, and an editable form is displayed for the user to view, confirm, and modify; when no personal historical data is detected, a blank personal information filling form is displayed for the user to fill in, and the user's personal information is collected and associated with the user's unique identifier, and stored in the storage module after encryption.

[0018] Demonstrate the correct placement of electrodes, guide users to correctly place the variable-diameter vaginal electrodes and adjust them to the appropriate body position, dynamically adjust the contact pressure through the variable-diameter electrodes inflating and deflation, and synchronously collect electromyographic signals and pressure signals; Specifically, the placement steps of the variable-diameter vaginal electrode are displayed through a visual interface, and the steps include the insertion angle and depth of the variable-diameter vaginal electrode, the initial position before airbag inflation, and body position adjustment suggestions; during the signal acquisition process, when the baseline noise or pressure fluctuation of the electromyographic signal exceeds a preset threshold, a prompt is automatically triggered to guide the user to readjust the position of the variable-diameter vaginal electrode; the dynamic adjustment of contact pressure includes: the variable-diameter vaginal electrode airbag slowly inflates, the pressure value is monitored in real time, and the user feedbacks the pain threshold through the visual interface button and records the previous maximum tolerance value; when the pressure value exceeds the preset threshold, the inflation is automatically stopped; for example: before the variable-diameter vaginal electrode airbag is slowly inflated, a voice prompt is given: the electrode will be slowly inflated, and please click the screen button immediately when you feel uncomfortable; when the variable-diameter vaginal electrode airbag starts to slowly inflate, the visual interface displays the current stage, and when the user clicks the screen button, the inflation is stopped and the previous maximum tolerance value is recorded.

[0019] Further, according to the front maximum tolerance value, the variable diameter vaginal electrode airbag is slowly deflated to a target pressure value, and the target pressure value is a safety range value calculated based on a preset safety factor and the front maximum tolerance value, and the formula is: PX=Front_MAX×P_RATE, wherein PX represents the target pressure value, Front_MAX represents the front maximum tolerance value, and P_RATE represents the preset safety factor; for example: the front maximum tolerance value is recorded = 85 mmHg, and the target pressure value PX = 85×0.7≈60 mmHg is calculated according to the preset ratio P_RATE = 0.7. This is only an example for illustration and is not limiting.

[0020] Based on the deserialized template file, the dual-channel evaluation chart of electromyography and pressure is drawn in real time to guide users to complete the pelvic floor muscle function assessment; Specifically, the deserialized template file includes, using a binary-encoded Protobuf format template file, deserializing into a two-dimensional array containing a timestamp, an electromyography template value, and a pressure template value; the real-time drawing of an electromyography and pressure dual-channel evaluation chart includes, using the timestamp T as the X-axis of the chart, and the electromyography value and the pressure value as the Y-axis dual-channel of the chart; the evaluation chart simultaneously displays the template data and the user data collected in real time; guiding the user to complete the pelvic floor muscle function assessment includes, according to the template file, guiding the user's actions in stages to complete multi-stage data collection, for example: when it is the pre-maximum tolerance stage, the voice prompt: the electrode will be slowly inflated, please click the screen button immediately when you feel uncomfortable; when it is the pre-resting stage, the voice prompt: please completely relax the pelvic floor muscle, keep breathing normally; when it is the fast muscle stage, voice prompt: please quickly contract the pelvic floor muscles 5 times; when it is the slow muscle stage, voice prompt: please slowly contract the pelvic floor muscles 5 times, please hold for 2 seconds after contraction and then relax; when it is the continuous contraction stage, voice prompt: please maintain the contraction state for 80 seconds, and the progress bar will show the remaining time; when it is the post-resting stage, voice prompt: please relax completely, the assessment is about to end; when it is the post-maximum tolerance stage, voice prompt: the electrode will be inflated for the last time, please feedback your tolerance limit; compare the real-time collected user data with the template curve, and feedback the action accuracy through color or waveform matching; when all stage data collection is completed, the variable diameter vaginal electrode airbag is slowly inflated again, and the post-maximum tolerance value is recorded for calculating the tolerance change.

[0021] Perform dynamic noise reduction on the collected electromyographic signals and pressure signals, encrypt the collected data and personal information, serialize them into evaluation files, and upload them to the storage module; Specifically, the dynamic noise reduction includes marking the data in the electromyography signal and the pressure signal that exceeds the valid range as abnormal and eliminating them, the valid range of the electromyography signal is limited to [0μV, 100μV], and the valid range of the pressure signal is limited to [0mmHg, (Front_MAX+100)mmHg], where Front_MAX represents the front maximum tolerance value; and reassigning the processed signals to pelvic floor electromyography values ​​and pelvic floor pressure values.

[0022] Further, the collected data and personal information are merged into an array rawJson, for example: the user's personal information, the electromyographic signals, pressure signals and timestamps collected at each stage are merged into an array, the array rawJson is sorted in ascending order according to the ASCII code, a key-value pair string strA is generated, and a preset 16-bit key is concatenated to generate strB; an MD5 hash operation is performed on strB to convert it into an uppercase string strC as a data signature; strC is encrypted by AES using a specific key and offset to generate a ciphertext strD; strD is Base64 encoded to finally generate an encrypted string; the encrypted data is serialized into a binary file using the Protobuf format, and the binary file is an evaluation file; the evaluation file is bound to the user's unique identifier, uploaded to the storage module through the communication protocol and a log is recorded, for example: the evaluation file is uploaded to the storage module through the HTTP protocol and stored in association with the user's unique identifier.

[0023] According to the evaluation document, the scores of the pelvic floor muscles in various stages and dimensions are calculated through a multi-dimensional algorithm, and the total score is weighted to generate the total score; the stages include the pre-maximal tolerance stage, the pre-resting stage, the fast muscle stage, the slow muscle stage, the sustained contraction stage, the post-resting stage, and the post-maximal tolerance stage; the dimensions include endurance, explosive power, relaxation, fatigue resistance, stability, and tolerance; Specifically, the pre-maximal tolerance stage score is graded according to the pre-maximal tolerance value, and the score result is positively correlated with the pre-maximal tolerance value. When it is lower than the set lower limit, the score is zero, and when it reaches or exceeds the upper limit, a full score is obtained; the pre-resting stage score comprehensively evaluates the functional performance of the pelvic floor muscles in a relaxed state, including the electromyographic average value, electromyographic variability, pressure average value, and pressure variability; the fast muscle stage score evaluates the rapid contraction ability of the pelvic floor muscles, including the electromyographic maximum value, the electromyographic slope in the rising stage, the ratio of the pressure maximum value to the pre-maximal tolerance, and the pressure slope in the rising stage; the slow muscle stage score evaluates the continuous contraction ability of the pelvic floor muscles, including the electromyographic average value in the contraction stage, the electromyographic variability in the contraction stage, the electromyographic slope in the rising stage, the pressure average value in the contraction stage, and the pressure in the contraction stage variability, pressure slope in the rising phase and ratio of the average pressure in the contraction phase to the previous maximum tolerance; the continuous contraction phase score evaluates the anti-fatigue characteristics of the pelvic floor muscles, including the electromyographic average value in the contraction phase, the electromyographic variability in the contraction phase, the ratio of the electromyographic average value in the first 10 seconds after the contraction phase, the pressure average value in the contraction phase, the pressure variability in the contraction phase, the ratio of the average pressure in the first 10 seconds after the contraction phase and the ratio of the average pressure in the contraction phase to the previous maximum tolerance; the post-resting phase score evaluates the relaxation state of the pelvic floor muscles, using the same evaluation system and indicator weights as the pre-resting phase to compare the changes in the relaxation ability of the pelvic floor muscles before and after the evaluation; the post-maximum tolerance phase evaluates the changes in tolerance, and combines the pre-maximum tolerance value and the post-maximum tolerance value to calculate the absolute value score and the relative change score.

[0024] Furthermore, the endurance is the score of the slow muscle stage; the explosive power is the score of the fast muscle stage; the relaxation is the average score of the previous and subsequent resting stages; the fatigue resistance is the score of the sustained contraction stage; the stability is a weighted score of the comprehensive coefficient of variation of each stage; and the tolerance is the average score of three tolerance tests.

[0025] For example, the scores of each stage and each dimension are calculated as follows: Scoring of each stage: pre-resting stage is 88 points, slow-twitch stage is 82 points, sustained contraction stage is 80 points, post-resting stage is 90 points, post-maximum tolerance stage is 100 points, and pre- and post-tolerance change is 100 points; Scoring of each dimension: endurance is 82 points, explosive power is 85.3 points, relaxation is 89 points, fatigue resistance is 80 points, stability is 84 points, and tolerance is 100 points; The dimension weights are: endurance: 20%; explosive power: 20%; relaxation: 15%; fatigue resistance: 15%; stability: 20%; tolerance: 10%; The total score is: 82×0.2 +85.3×0.2 +89×0.15 +80×0.15 +84×0.2 +100×0.15=87.2 points.

[0026] Combine the scoring results with personal historical data to generate personalized training suggestions, and display the evaluation results and training suggestions through visual charts.

[0027] Specifically, we comprehensively analyze the results of each dimension, each stage and the total score, combine personal historical data and training goals, identify scores below the standard threshold, and mark key indicators that continue to deteriorate; match basic training suggestions according to the main training goals, determine training priorities based on multi-dimensional scoring defects, and generate personalized training suggestions based on personal historical data; for example: the user's total score is 87.2 points, The radar chart displays the scores of the six dimensions, using different colors to distinguish the current score from the historical average. The stage comparison line chart displays the average electromyography and pressure values ​​of the resting stage before and after, and marks the improvement or deterioration trend. A training suggestion is generated, wherein the training suggestion displays the training suggestions and key points in a structured manner.

[0028] The present invention provides another technical solution, each stage, each dimension and the overall scoring system: Front maximum tolerance stage: the front maximum tolerance value is Front_MAX, and the front maximum tolerance stage score is FrontMax_s; When FrontMax>100mmHg, FrontMax_s=100; When 25 mmHg ≤ FrontMax ≤ 100 mmHg, FrontMax_s = (4 ÷ 3) × FrontMax - (100 ÷ 3); When FrontMax<25mmHg, FrontMax_s=0; The pre-resting stage includes: EMG mean value First_em, EMG variability First_ev, pressure mean value First_pm and pressure variability First_pv; The average electromyography score First_ems: When First_em<2μV, First_ems=90+(2-First_em)×5; When 2μV≤First_em≤10μV, First_ems=-1.125×First_em²+2.25×First_em+90; When First_em>10μV, First_ems=0.

[0029] EMG variability score First_evs: When First_ev≤0.2, First_evs=10-100×First_ev; When 0.2 < First_ev ≤ 0.5, First_evs = (400÷3) - (800÷3)×First_ev; When First_ev > 0.5, First_evs = 0.

[0030] Pressure average score First_pms: When First_pm < 5 mmHg, First_pms = 90 + (5 - First_pm)×5; When 5 mmHg ≤ First_pm ≤ 15 mmHg, First_pms = -0.2×First_pm² + 4.4×First_pm + 45; When First_pm > 15 mmHg, First_pms = 0.

[0031] Pressure variability score First_pvs: The same as the electromyogram variability scoring system.

[0032] The fast muscle stage includes: maximum electromyogram Second_eb, electromyogram slope in the rising stage Second_er, ratio of maximum pressure to the previous maximum tolerance Second_pb (if the maximum pressure is less than the target pressure value PX, it is directly assigned 0), pressure slope in the rising stage Second_pr; Score of maximum electromyogram Second_ebs: When Second_eb > 100 μV, Second_ebs = 100; When 5 μV < Second_eb ≤ 100 μV, Second_ebs = (Second_eb - 5)×(Second_eb - 1880÷19); When Second_eb ≤ 5 μV, Second_ebs = 0.

[0033] Score of electromyogram slope in the rising stage Second_ers: When Second_er > 96, Second_ers = 100; When 1 < Second_er ≤ 96, Second_ers = -(4×(Second_er - 96)²) ÷ 361 + 100; When Second_er ≤ 1, Second_ers = 0.

[0034] Score of ratio of maximum pressure to the previous maximum tolerance Second_pbs: When Second_pb > 1, Second_pbs = 100; When 0.1 < Second_pb ≤ 1, Second_pbs = (1000÷9)×Second_pb - (100÷9); When Second_pb ≤ 0.1, Second_pbs = 0.

[0035] The ascending phase pressure slope score Second_prs: It is consistent with the ascending phase electromyogram slope scoring system.

[0036] The slow muscle phase includes the average electromyogram during the contraction phase Third_em, the electromyogram variability during the contraction phase Third_ev, the electromyogram slope during the ascending phase Third_er, the average pressure during the contraction phase Third_pm, the pressure variability during the contraction phase Third_pv, the pressure slope during the ascending phase Third_pr, and the ratio of the average pressure during the contraction phase to the previous maximum tolerance Third_pb (if the maximum pressure value is less than the target pressure value PX, it is directly assigned 0); The score of the average electromyogram during the contraction phase Third_ems: When Third_em < 5μV, Third_ems = 0; When 5μV < Third_em < 100μV, Third_ems = -(4×(Third_em - 100)²)÷361 + 100; When Third_em > 100μV, Third_ems = 100.

[0037] The score of the electromyogram variability during the contraction phase Third_evs: When Third_ev < 0.1, Third_evs = 95 + (0.1 - Third_ev)×5÷0.1; When 0.1 < Third_ev ≤ 0.5, Third_evs = -237.5×Third_ev + 118.75; When Third_ev > 0.5, Third_evs = 0.

[0038] The scoring system for the pressure-related scores in the slow muscle phase partially refers to the electromyogram-related scoring system in the slow muscle phase and partially refers to the fast muscle phase-related scoring system.

[0039] The continuous contraction phase includes the average electromyogram in the contraction phase Fourth_em, the electromyogram variability in the contraction phase Fourth_ev, the ratio of the average electromyogram in the first 10 seconds after the contraction phase Fourth_ec, the average pressure in the contraction phase Fourth_pm, the pressure variability in the contraction phase Fourth_pv, the ratio of the average pressure in the first 10 seconds after the contraction phase Fourth_pc, and the ratio of the average pressure in the contraction phase to the previous maximum tolerance Fourth_pb (if the maximum pressure value is less than the target pressure value PX, it is directly assigned 0).

[0040] Score of the average electromyogram in the contraction phase Fourth_ems: When Fourth_em < 5 μV, Fourth_ems = 0; When 5 μV < Fourth_em < 80 μV, Fourth_ems = (4÷3)×Fourth_em - (20÷3); When Fourth_em > 80 μV, Fourth_ems = 100.

[0041] Score of the electromyogram variability in the contraction phase Fourth_evs: When Fourth_ev < 0.1, Fourth_evs = 100; When 0.1 < Fourth_ev ≤ 0.5, Fourth_evs = -237.5×Fourth_ev + 123.75; When Fourth_ev > 0.5, Fourth_evs = 0.

[0042] Score of the ratio of the average electromyogram in the first 10 seconds after the contraction phase Fourth_ecs: When Fourth_ec > 1, Fourth_ecs = 100; When 0.8 ≤ Fourth_ec ≤ 1, Fourth_ecs = 500×Fourth_ec - 400; When Fourth_ec < 0.8, Fourth_ecs = 0.

[0043] The scoring system for the pressure-related scores in the contraction phase partially refers to the electromyogram-related scoring system in this phase and partially refers to the scoring system related to the fast muscle phase.

[0044] The scoring systems for each item in the post-rest phase all refer to the scoring systems for the corresponding indicators in the pre-rest phase.

[0045] Post-maximum tolerance phase: The post-maximum tolerance value is After_MAX, and the score in the post-maximum tolerance phase is AfterMax_s; When After_MAX > 90 mmHg, AfterMax_s = 100; When 20 mmHg ≤ After_MAX ≤ 90 mmHg, AfterMax_s = (10÷7)×After_MAX - (200÷7); When After_MAX < 20 mmHg, AfterMax_s = 0.

[0046] The maximum tolerable change before and after Delta_MAX, and its score DeltaMax_s: When Delta_MAX ≥ -15 mmHg, DeltaMax_s = 100; When -15 mmHg < Delta_MAX ≤ -50 mmHg, DeltaMax_s = (20÷7)×Delta_MAX + (1000÷7); When Delta_MAX < -50 mmHg, DeltaMax_s = 0.

[0047] The present invention provides another technical solution, an evaluation system for multi-dimensional pelvic floor hypertonia based on electromyogram pressure conduction electrodes, the system includes: a data acquisition module, a storage module, an evaluation and analysis module, a scheme generation module, a visualization module, and a data communication module; The data acquisition module includes an electrode control module, a multi-channel acquisition module, and a quality detection module; the electrode control module precisely regulates the airbag inflation and deflation process of the variable-diameter vaginal electrode, and dynamically maintains the optimal contact pressure through real-time pressure monitoring and user pain threshold feedback; the multi-channel acquisition module is used to synchronously acquire electromyogram signals and pressure signals; the quality detection module is used to analyze the signal-to-noise ratio of the original signal in real time, and triggers a re-adjustment prompt when abnormal; The storage module includes a personal data storage module and a training advice library; the personal data storage module adopts a hierarchical encryption storage architecture and establishes an independent data directory according to the user's unique identifier; the training advice library stores clinically verified training advice in a structured manner; The evaluation and analysis module includes a stage scoring module, a dimension scoring module, and a total scoring module; the stage scoring module is used to calculate the scores of each stage; the dimension scoring module is used to calculate the scores of each dimension; the total scoring module obtains the total score through weighted calculation; The scheme generation module combines the scoring results and training objectives, matches the training advice in the training advice library, and generates personalized training advice according to historical personal data; The visualization module includes a guidance module, a real-time chart module and a result display module; the guidance module is used to display the evaluation steps and provide stage action guidance; the real-time chart module is used to draw a dual-channel evaluation curve; the result display module displays a radar chart and a stage comparison line and generates training suggestions; The data communication module encrypts and transmits data through the communication protocol, and processes the serialization and deserialization of Protobuf binary data to complete the data communication between various modules.

[0048] According to the above content, the independent data directory stores user personal information, evaluation files and training suggestions in an associated manner; implements data access permission control based on the user's unique identifier; establishes a primary index through the user's unique identifier, and uses the timestamp as an auxiliary index to associate multiple groups of evaluation data of the same user; Establish a bidirectional association index between evaluation files and training suggestions to achieve intelligent matching and reverse tracing of evaluation results and training suggestions.

[0049] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A multi-dimensional pelvic floor hypertonia assessment method based on electromyographic stress conduction electrodes, characterized by: The method includes: Enter personal information and training goals, and retrieve personal historical data through unique identifiers; Demonstrate the correct placement of electrodes, guide users to correctly place the variable-diameter vaginal electrodes and adjust them to the appropriate body position, dynamically adjust the contact pressure through the variable-diameter electrodes inflating and deflation, and synchronously collect electromyographic signals and pressure signals; Based on the deserialized template file, the dual-channel evaluation chart of electromyography and pressure is drawn in real time to guide users to complete the pelvic floor muscle function assessment; Perform dynamic noise reduction on the collected electromyographic signals and pressure signals, encrypt the collected data and personal information, serialize them into evaluation files, and upload them to the storage module; According to the assessment document, the scores of the pelvic floor muscles in various stages and dimensions are calculated through a multi-dimensional algorithm, and the total score is weighted to generate the total score; the stages include the pre-maximal tolerance stage, the pre-resting stage, the fast muscle stage, the slow muscle stage, the sustained contraction stage, the post-resting stage and the post-maximal tolerance stage; the dimensions include endurance, explosive power, relaxation, fatigue resistance, stability and tolerance; Combine the scoring results with personal historical data to generate personalized training suggestions, and display the evaluation results and training suggestions through visual charts.

2. The method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes according to claim 1, characterized in that: detecting whether personal historical data is stored according to the unique identifier; When personal history data is detected, the encrypted personal history data is decrypted and desensitized, personal basic information, health status and medical records are extracted, and an editable form is displayed for users to view, confirm and modify; When no personal historical data is detected, a blank personal information filling form is displayed for the user to fill in, and the user's personal information is collected and associated with the user's unique identifier, and stored in the storage module after encryption.

3. The method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes according to claim 1, characterized in that: The display of the correct electrode placement method includes displaying the placement steps of the variable-diameter vaginal electrode through a visual interface, the steps including the insertion angle and depth of the variable-diameter vaginal electrode, the initial position before balloon inflation, and body position adjustment suggestions; During the signal acquisition process, when the baseline noise or pressure fluctuation of the electromyographic signal exceeds the preset threshold, a prompt is automatically triggered to guide the user to readjust the position of the variable-diameter vaginal electrode; The dynamic adjustment of contact pressure includes: slowly inflating a variable diameter vaginal electrode airbag, monitoring the pressure value in real time, and the user feedbacks the pain threshold through a visual interface button, and records the previous maximum tolerance value; when the pressure value exceeds a preset threshold, the inflation is automatically stopped; according to the previous maximum tolerance value, the variable diameter vaginal electrode airbag is slowly deflated to a target pressure value, and the target pressure value is a safety range value calculated based on a preset safety factor and the previous maximum tolerance value, and the formula is: PX=Front_MAX×P_RATE, wherein PX represents the target pressure value, Front_MAX represents the previous maximum tolerance value, and P_RATE represents the preset safety factor; The deserialized template file includes a Protobuf format template file in binary encoding, which is deserialized into a two-dimensional array containing a timestamp, an electromyography template value, and a pressure template value; The real-time drawing of the electromyography and pressure dual-channel evaluation chart includes using the timestamp T as the chart's X-axis and the electromyography value and the pressure value as the chart's Y-axis dual-channel; the evaluation chart simultaneously displays the template data and the real-time collected user data; Guiding the user to complete the pelvic floor muscle function assessment includes guiding the user's actions in stages according to the template file, completing multi-stage data collection, and comparing the real-time collected user data with the template curve, and providing feedback on the action accuracy through color or waveform matching; After all phases of data collection are completed, the variable diameter vaginal electrode balloon is slowly inflated again, and the maximum tolerance value is recorded to calculate the tolerance change.

4. The method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes according to claim 3, characterized in that: The dynamically denoising the collected electromyographic signals and pressure signals comprises: The dynamic noise reduction includes marking the data in the electromyographic signal and the pressure signal that exceeds the valid range as abnormal and eliminating them, the valid range of the electromyographic signal is limited to [0μV, 100μV], and the valid range of the pressure signal is limited to [0mmHg, (Front_MAX+100)mmHg], where Front_MAX represents the front maximum tolerance value; and reassigning the processed signals to pelvic floor electromyographic values ​​and pelvic floor pressure values.

5. The method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes according to claim 1, characterized in that: The collected data and personal information are encrypted and serialized into an evaluation file, including: The collected data and personal information are combined into an array rawJson, the array rawJson is sorted in ascending order according to ASCII code, a key-value pair string strA is generated, and a preset 16-bit key is concatenated to generate strB; an MD5 hash operation is performed on strB to convert it into an uppercase string strC as a data signature; strC is encrypted by AES using a specific key and offset to generate a ciphertext strD; strD is Base64 encoded to finally generate an encrypted string; the encrypted data is serialized into a binary file using the Protobuf format, and the binary file is an evaluation file; The evaluation file is bound to the user's unique identifier, uploaded to the storage module through the communication protocol and recorded in the log.

6. The method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes according to claim 1, characterized in that: The pre-maximum tolerance stage score is graded and evaluated according to the pre-maximum tolerance value, and the score result is positively correlated with the pre-maximum tolerance value. When it is below the set lower limit, the score is zero, and when it reaches or exceeds the upper limit, a full score is obtained; The pre-resting stage score comprehensively evaluates the functional performance of the pelvic floor muscles in a relaxed state, including the average electromyographic value, electromyographic variability, average pressure value, and pressure variability; The fast-twitch phase score comprehensively evaluates the rapid contraction ability of the pelvic floor muscles, including the maximum electromyographic value, the electromyographic slope during the ascending phase, the ratio of the maximum pressure to the previous maximum tolerance, and the pressure slope during the ascending phase; The slow muscle phase score comprehensively evaluates the sustained contraction ability of the pelvic floor muscles, including the average EMG value during the contraction phase, the EMG variability during the contraction phase, the EMG slope during the ascending phase, the average pressure value during the contraction phase, the pressure variability during the contraction phase, the pressure slope during the ascending phase, and the ratio of the average pressure value during the contraction phase to the previous maximum tolerance value; The continuous contraction stage score comprehensively evaluates the anti-fatigue characteristics of the pelvic floor muscles, including the average electromyographic value during the contraction stage, the electromyographic variability during the contraction stage, the ratio of the average electromyographic value in the first 10 seconds after the contraction stage, the average pressure during the contraction stage, the pressure variability during the contraction stage, the ratio of the average pressure in the first 10 seconds after the contraction stage, and the ratio of the average pressure during the contraction stage to the maximum tolerance before the contraction stage; The post-resting stage score comprehensively evaluates the relaxation state of the pelvic floor muscles, using the same evaluation system and indicator weights as the pre-resting stage, and is used to compare changes in the relaxation ability of the pelvic floor muscles before and after the evaluation; In the post-maximum tolerance stage, changes in tolerance are assessed, and the absolute value score and relative change score are calculated by combining the pre-maximum tolerance value and the post-maximum tolerance value.

7. The method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes according to claim 6, characterized in that: The endurance is the score of the slow muscle stage; the explosive power is the score of the fast muscle stage; the relaxation is the average score of the previous and subsequent resting stages; the fatigue resistance is the score of the sustained contraction stage; the stability is a weighted score of the comprehensive coefficient of variation of each stage; and the tolerance is the average score of three tolerance tests.

8. The method for evaluating multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes according to claim 1, characterized in that: Comprehensively analyze the results of each dimension, each stage and the total score, combine personal historical data and training goals, identify scores below the standard threshold, and mark key indicators of continued deterioration; Match basic training suggestions according to the main training goals, determine the training focus based on multi-dimensional scoring defects, and generate personalized training suggestions based on personal historical data; The radar chart displays the scores of the six dimensions, using different colors to distinguish the current score from the historical average. The stage comparison line chart displays the average electromyography and pressure values ​​of the resting stage before and after, and marks the improvement or deterioration trend. A training suggestion is generated, wherein the training suggestion shows the training suggestion and key points in a structured manner.

9. An evaluation system for multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes, applied to an evaluation method for multi-dimensional pelvic floor hypertonia based on electromyographic stress conduction electrodes according to any one of claims 1 to 8, characterized in that: The system includes: a data acquisition module, a storage module, an evaluation and analysis module, a solution generation module, a visualization module and a data communication module; The data acquisition module includes an electrode control module, a multi-channel acquisition module and a quality detection module; the electrode control module accurately controls the inflation and deflation process of the airbag of the variable diameter vaginal electrode, and dynamically maintains the optimal contact pressure through real-time pressure monitoring and user pain threshold feedback; the multi-channel acquisition module is used to synchronously collect electromyographic signals and pressure signals; the quality detection module is used to analyze the signal-to-noise ratio of the original signal in real time, and trigger a readjustment prompt when an abnormality occurs; The storage module includes a personal data storage module and a training suggestion library; the personal data storage module adopts a hierarchical encrypted storage architecture to establish an independent data directory according to the user's unique identifier; the training suggestion library stores clinically verified training suggestions in a structured manner; The evaluation and analysis module includes a stage scoring module, a dimension scoring module and a total scoring module; the stage scoring module is used to calculate the scores of each stage; the dimension scoring module is used to calculate the scores of each dimension; the total scoring module obtains the total score through weighted calculation; The solution generation module combines the scoring results and the training objectives, matches the training suggestions in the training suggestion library, and generates personalized training suggestions based on historical personal data; The visualization module includes a guidance module, a real-time chart module and a result display module; the guidance module is used to display the evaluation steps and provide stage action guidance; the real-time chart module is used to draw a dual-channel evaluation curve; the result display module displays a radar chart and a stage comparison line and generates training suggestions; The data communication module encrypts and transmits data through the communication protocol, and processes the serialization and deserialization of Protobuf binary data to complete the data communication between various modules.

10. The multi-dimensional pelvic floor hypertonia assessment system based on electromyographic stress conduction electrodes according to claim 9, characterized in that: The independent data directory stores user personal information, evaluation files and training suggestions in association; Implement data access permission control based on user unique identifier; establish primary index through user unique identifier, and use timestamp as auxiliary index to associate multiple groups of evaluation data of the same user; Establish a bidirectional association index between evaluation files and training suggestions to achieve intelligent matching and reverse tracing of evaluation results and training suggestions.

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