Biofeedback-based preventive stoma and pelvic floor rehabilitation monitoring method and system

Abstract

The application provides a kind of preventive stoma pelvic floor rehabilitation monitoring method and system based on biofeedback, it is related to medical rehabilitation technical field, the method comprises: determining first dynamic weight and second dynamic weight, and the number of times of completed biofeedback training, muscle tension contraction electromyography value and shannon diversity index are weighted and summed, to determine pelvic floor flora synergistic rehabilitation coefficient;Determine the result of stoma fluid reinfusion start;If stoma fluid reinfusion is carried out, according to shannon diversity index and pelvic floor flora synergistic rehabilitation coefficient, determine dynamic response coefficient, comprising: the difference between second dynamic weight, shannon diversity index and pelvic floor flora synergistic rehabilitation coefficient before and after reinfusion is weighted and summed, to determine dynamic response coefficient;According to dynamic response coefficient and pelvic floor flora synergistic rehabilitation coefficient, generate monitoring adjustment result.According to the application, the accuracy of preventive stoma pelvic floor rehabilitation monitoring can be improved.

Description

Technical Field

[0001] This invention relates to the field of medical rehabilitation technology, and in particular to a preventive stoma pelvic floor rehabilitation monitoring method and system based on biofeedback. Background Technology

[0002] In related technologies, traditional stoma fluid reinfusion protocols (e.g., twice a week) are fixed and cannot be personalized according to the dynamic changes in the individual patient's gut microbiota and pelvic floor muscle response. Furthermore, rehabilitation efficacy assessments are usually conducted after the intervention ends, making it impossible to monitor the effects in real time and dynamically optimize the protocol during the rehabilitation process. The preventive effect is limited. In other words, related technologies are difficult to improve the effectiveness and accuracy of preventive stoma pelvic floor rehabilitation monitoring.

[0003] The information disclosed in the background section of this application is intended only to enhance the understanding of the general background of this application and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0004] This invention provides a biofeedback-based method and system for monitoring preventive stoma pelvic floor rehabilitation, which can solve the technical problem that related technologies are unable to improve the effectiveness and accuracy of preventive stoma pelvic floor rehabilitation monitoring.

[0005] According to a first aspect of the present invention, a biofeedback-based method for monitoring preventive stoma pelvic floor rehabilitation is provided, comprising: By analyzing the relative strength of recovery dynamics represented by electromyography (EMG) values ​​during contraction and the Shannon diversity index of gut microbiota, a first and second dynamic weight were determined. Furthermore, a weighted sum of the number of completed biofeedback training sessions, EMG values ​​during contraction, and the Shannon diversity index was calculated to determine the pelvic floor microbiota-assisted recovery coefficient. ; Based on multiple rehabilitation identification results determined by tense contraction electromyography values ​​and Shannon diversity index, the ostomy fluid reinfusion initiation result was determined; If stoma fluid reinfusion is performed, the dynamic response coefficient is determined based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient. This includes: weighted summation of the differences in the second dynamic weights before and after reinfusion, the Shannon diversity index, and the pelvic floor microbiota co-healing coefficient to determine the dynamic response coefficient. ; Based on the dynamic response coefficient and the pelvic floor microbiota co-recovery coefficient, monitoring and adjustment results are generated, including: determining whether the dosage and flow rate of the stoma fluid reinfusion need to be changed based on the dynamic response coefficient, and determining whether the training program needs to be adjusted based on the pelvic floor microbiota co-recovery coefficient.

[0006] According to the present invention, a first dynamic weight and a second dynamic weight are determined by the relative strength of the recovery dynamics represented by the electromyographic value of tense contraction and the Shannon diversity index of the gut microbiota, including: Based on the rehabilitation program information, determine the number of biofeedback training sessions that have been completed; Obtain the first preset tense contraction electromyographic value, the second preset tense contraction electromyographic value, the first preset Shannon diversity index, and the second preset Shannon diversity index. Based on the electromyographic values ​​of tension contraction, the Shannon diversity index, the first preset electromyographic values ​​of tension contraction, the second preset electromyographic values ​​of tension contraction, the first preset Shannon diversity index, and the second preset Shannon diversity index, a first dynamic weight and a second dynamic weight are determined.

[0007] According to the present invention, determining a first dynamic weight and a second dynamic weight based on the electromyographic (EMG) value of tension contraction, the Shannon diversity index, the first preset EMG value of tension contraction, the second preset EMG value of tension contraction, the first preset Shannon diversity index, and the second preset Shannon diversity index includes: according to the formula: ; Determine the first dynamic weight at time i of the monitoring period. Second dynamic weight ,in, To monitor the electromyographic value of tense contraction at time i of the monitoring cycle, The first preset electromyographic value for tense contraction is... The second preset electromyographic value for tense contraction is... To measure the Shannon diversity index at the i-th time point of the monitoring period, The first preset Shannon diversity index, The second preset Shannon diversity index. To monitor the electromyographic value of tense contraction at time i-1 of the monitoring cycle, For the time point corresponding to the i-th moment of the monitoring period, This refers to the time point corresponding to the (i-1)th moment of the monitoring period. The Shannon diversity index is the value at the (i-1)th time step of the monitoring period.

[0008] According to the present invention, the synergistic recovery coefficient of pelvic floor flora is determined. Including: According to the formula: ; Determine the pelvic floor microbiota co-healing coefficient at time i of the monitoring period. ,in, The first dynamic weight at the i-th moment of the monitoring period, The second dynamic weight is the weight at the i-th time point of the monitoring period. To preset weights, To monitor the electromyographic value of tense contraction at time i of the monitoring cycle, The first preset electromyographic value for tense contraction is... The second preset electromyographic value for tense contraction is... To measure the Shannon diversity index at the i-th time point of the monitoring period, The first preset Shannon diversity index, The second preset Shannon diversity index. This represents the number of completed biofeedback training iterations at the i-th time point of the monitoring period.

[0009] According to the present invention, the rehabilitation identification results include the identification results of the plateau phase of pelvic floor electromyography function, the identification results of weight imbalance, and the identification results of microbial decay. Based on multiple rehabilitation identification results determined by tense contraction electromyography values ​​and Shannon diversity index, the results for initiating stoma fluid reinfusion were determined, including: Based on the tense contraction electromyography (EMG) values, the pelvic floor EMG function plateau identification result is determined, including: if the growth rate of the standardized tense contraction EMG values ​​in the three most recent consecutive training sessions is consistently less than a preset growth rate threshold, then the pelvic floor EMG function plateau identification result is 1; otherwise, the pelvic floor EMG function plateau identification result is 0. Based on the first dynamic weight and the second dynamic weight, the weight imbalance identification result is determined, including: if the ratio of the second dynamic weight to the first dynamic weight is less than a preset ratio, the weight imbalance identification result is 1; otherwise, the weight imbalance identification result is 0. Based on the Shannon diversity index, the microbial community decline identification result is determined, including: if the Shannon diversity index shows a decline, the microbial community decline identification result is 1; otherwise, the microbial community decline identification result is 0. Based on the identification results of the plateau phase of pelvic floor electromyography, the identification results of the weight imbalance, and the identification results of the microbial decay, the stoma fluid reinfusion initiation result is determined, including: if multiple rehabilitation identification results are all 1, the stoma fluid reinfusion initiation result is to perform stoma fluid reinfusion; otherwise, stoma fluid reinfusion is not performed.

[0010] According to the present invention, if stoma fluid reinfusion is performed, the dynamic response coefficient is determined based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient, including: Based on the Shannon diversity index, the Shannon diversity index before reintroduction and the Shannon diversity index after reintroduction are determined; Based on the pelvic floor microbiota co-recovery coefficient, determine the pelvic floor microbiota co-recovery coefficient before reinfusion and the pelvic floor microbiota co-recovery coefficient after reinfusion; Based on the second dynamic weight, determine the second dynamic weight before and after the transmission; The dynamic response coefficient is determined based on the Shannon diversity index before reinfusion, the Shannon diversity index after reinfusion, the pelvic floor microbiota co-recovery coefficient before reinfusion, the pelvic floor microbiota co-recovery coefficient after reinfusion, the second dynamic weight before reinfusion, and the second dynamic weight after reinfusion.

[0011] According to the present invention, the dynamic response coefficient is determined based on the Shannon diversity index before reinfusion, the Shannon diversity index after reinfusion, the pelvic floor microbiota co-recovery coefficient before reinfusion, the pelvic floor microbiota co-recovery coefficient after reinfusion, the second dynamic weight before reinfusion, and the second dynamic weight after reinfusion, including: according to the formula: ; Determine the dynamic response coefficients ,in, , and To preset the weights, The Shannon diversity index before reintroduction, The Shannon diversity index after reintroduction. The coefficient for synergistic recovery of pelvic floor flora before reinfusion. The coefficient for synergistic recovery of pelvic floor flora after reinfusion. The second dynamic weight before refeedback. This is the second dynamic weight after the input.

[0012] According to the present invention, monitoring and regulation results are generated based on the dynamic response coefficient and the pelvic floor microbiota synergistic recovery coefficient, including: if To maintain a constant dose and flow rate of ostomy fluid reinfusion; if Reduce the flow rate of the ostomy fluid reinfusion while maintaining the same dosage; if Suspend the backfeed; if Then proceed to maintenance training; if This indicates that the recovery process is stable; if Review the training program and enhance neuromuscular electrical stimulation; if Clinical review was initiated.

[0013] According to a second aspect of the present invention, a biofeedback-based preventive stoma pelvic floor rehabilitation monitoring system is provided, comprising: The collaborative rehabilitation module uses the relative strength of recovery dynamics, represented by tense contraction electromyography (EMG) values ​​and the Shannon diversity index of gut microbiota, to determine the first and second dynamic weights. It then uses a weighted sum of the number of completed biofeedback training sessions, EMG values, and the Shannon diversity index to determine the pelvic floor microbiota collaborative rehabilitation coefficient. ; The initiation result module is used to determine the initiation result of stoma fluid reinfusion based on multiple rehabilitation identification results determined by tense contraction electromyography value and Shannon diversity index; The dynamic response module is used to determine the dynamic response coefficient based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient if stoma fluid reinfusion is performed. This includes: weighted summation of the differences in the second dynamic weights, Shannon diversity index, and pelvic floor microbiota co-healing coefficient before and after reinfusion to determine the dynamic response coefficient. ; The monitoring and adjustment module is used to generate monitoring and adjustment results based on the dynamic response coefficient and the pelvic floor microbiota co-recovery coefficient. This includes: determining whether it is necessary to change the dosage and flow rate of the stoma fluid reinfusion based on the dynamic response coefficient, and determining whether it is necessary to adjust the training program based on the pelvic floor microbiota co-recovery coefficient.

[0014] Technical effects: According to the present invention, the electromyographic values ​​of tense contraction and the Shannon diversity index during the recovery process of rehabilitation users can be accurately detected. Based on the electromyographic values ​​of tense contraction and the Shannon diversity index, the synergistic recovery status of muscles and microbiota can be assessed, and it can be determined whether stoma fluid reinfusion is necessary. The pelvic floor microbiota synergistic recovery coefficient and the stoma fluid reinfusion initiation result can be determined. When stoma fluid reinfusion is determined, the intervention effect of stoma fluid reinfusion can be assessed based on the Shannon diversity index and the pelvic floor microbiota synergistic recovery coefficient, and the dynamic response coefficient can be determined. Furthermore, monitoring and adjustment can be carried out based on the dynamic response coefficient and the pelvic floor microbiota synergistic recovery coefficient, thereby improving the accuracy of preventive stoma pelvic floor rehabilitation monitoring. When determining the first and second dynamic weights, the first and second dynamic weights can be determined based on the tense contraction electromyography (EMG) value, Shannon diversity index, first preset tense contraction EMG value, second preset tense contraction EMG value, first preset Shannon diversity index, and second preset Shannon diversity index. During the calculation process, the tense contraction EMG value and Shannon diversity index of the rehabilitation user can be standardized and individual differences can be reduced. Based on the standardized value of the processed tense contraction EMG value and the standard deviation of the Shannon diversity index, the balance between muscle function recovery and microbiota recovery can be assessed, and the first and second dynamic weights can be determined, thus improving the accuracy of the first and second dynamic weights. When determining the pelvic floor microbiota synergistic rehabilitation coefficient, it can be determined based on the first dynamic weight, the second dynamic weight, the number of completed biofeedback training sessions, the electromyographic value of tense contractions, the Shannon diversity index, the first preset tense contraction electromyographic value, the second preset tense contraction electromyographic value, the first preset Shannon diversity index, and the second preset Shannon diversity index. During the calculation process, a weighted summation can be performed based on three aspects: muscle function, microbiota function, and the patient's recovery training status, thus improving the comprehensiveness and accuracy of the pelvic floor microbiota synergistic rehabilitation coefficient. When determining the dynamic response coefficient, it can be determined based on the Shannon diversity index before reinfusion, the Shannon diversity index after reinfusion, the pelvic floor microbiota synergistic rehabilitation coefficient before reinfusion, the pelvic floor microbiota synergistic rehabilitation coefficient after reinfusion, the second dynamic weight before reinfusion, and the second dynamic weight after reinfusion. During the calculation process, the dynamic response coefficient can be determined based on three aspects: the improvement of microbiota diversity after stoma fluid reinfusion, the improvement of the synergistic recovery of microbiota and muscles, and the degree of relief of the imbalance in recovery speed, thus improving the comprehensiveness of the dynamic response coefficient.

[0015] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Other features and aspects of the invention will become clearer from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without creative effort. Figure 1 An exemplary flowchart of a biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to an embodiment of the present invention is shown. Figure 2 An exemplary schematic diagram illustrating the determination of the ostomy fluid reinfusion initiation result according to an embodiment of the present invention is shown; Figure 3 An exemplary schematic diagram illustrating the determination of dynamic response coefficients according to an embodiment of the present invention is shown; Figure 4 A schematic diagram illustrating the generation of monitoring and adjustment results according to an embodiment of the present invention is shown exemplarily; Figure 5 A block diagram of a biofeedback-based preventive stoma pelvic floor rehabilitation monitoring system according to an embodiment of the present invention is shown as an example. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0019] Figure 1 An exemplary flowchart of a biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to an embodiment of the present invention is shown, the method comprising: Step S1: Determine the first and second dynamic weights based on the relative strength of the recovery dynamics represented by the electromyography value of tension contraction and the Shannon diversity index of the gut microbiota. Then, calculate the weighted sum of the number of completed biofeedback training sessions, the electromyography value of tension contraction, and the Shannon diversity index to determine the pelvic floor microbiota collaborative rehabilitation coefficient. ; Step S2: Based on the electromyographic values ​​of tense contraction and the Shannon diversity index, determine the initiation result of stoma fluid reinfusion; Step S3: If stoma fluid reinfusion is performed, determine the dynamic response coefficient based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient. This includes: weighted summing of the differences in the second dynamic weights before and after reinfusion, the Shannon diversity index, and the pelvic floor microbiota co-healing coefficient to determine the dynamic response coefficient. ; Step S4: Based on the dynamic response coefficient and the pelvic floor microbiota co-recovery coefficient, generate monitoring and adjustment results, including: based on the dynamic response coefficient, determining whether it is necessary to change the dosage and flow rate of the stoma fluid reinfusion; and based on the pelvic floor microbiota co-recovery coefficient, determining whether it is necessary to adjust the training program.

[0020] The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to embodiments of the present invention can accurately detect the electromyographic values ​​of tonic contraction and the Shannon diversity index during the recovery process of rehabilitation users. Based on these values, it assesses the synergistic recovery status of muscles and microbiota, determines whether stoma fluid reinfusion is necessary, determines the pelvic floor microbiota synergistic recovery coefficient and the stoma fluid reinfusion initiation result, and, if stoma fluid reinfusion is determined, evaluates the intervention effect based on the Shannon diversity index and the pelvic floor microbiota synergistic recovery coefficient, and determines the dynamic response coefficient. Furthermore, monitoring and adjustment are performed based on the dynamic response coefficient and the pelvic floor microbiota synergistic recovery coefficient, thereby improving the accuracy of preventive stoma pelvic floor rehabilitation monitoring.

[0021] According to one embodiment of the present invention, rehabilitation program information of rehabilitation users is obtained, such as the number of biofeedback training sessions completed, i.e., the number of biofeedback training sessions completed.

[0022] According to one embodiment of the present invention, electromyography (EMG) values ​​during tense contractions and the Shannon diversity index are acquired at multiple points in a monitoring cycle. For example, the monitoring cycles are spaced one day apart. During the monitoring cycle, the average EMG value during the tense contraction phase is obtained by assessing the pelvic floor surface EMG, i.e., the EMG value during tense contractions, and the Shannon diversity index is obtained by fecal microbial 16S rRNA sequencing.

[0023] According to one embodiment of the present invention, in step S1, a first dynamic weight and a second dynamic weight are determined by the relative strength of the recovery dynamics represented by the electromyography value of tension contraction and the Shannon diversity index of the gut microbiota. The pelvic floor microbiota synergistic recovery coefficient is determined by weighted summation of the number of completed biofeedback training sessions, the electromyography value of tension contraction, and the Shannon diversity index. .

[0024] According to one embodiment of the present invention, a first dynamic weight and a second dynamic weight are determined by the relative strength of the recovery dynamics represented by the electromyographic value of tense contraction and the Shannon diversity index of the gut microbiota, including: Based on the rehabilitation program information, determine the number of biofeedback training sessions that have been completed; Obtain the first preset tense contraction electromyographic value, the second preset tense contraction electromyographic value, the first preset Shannon diversity index, and the second preset Shannon diversity index. Based on the electromyographic values ​​of tension contraction, the Shannon diversity index, the first preset electromyographic values ​​of tension contraction, the second preset electromyographic values ​​of tension contraction, the first preset Shannon diversity index, and the second preset Shannon diversity index, a first dynamic weight and a second dynamic weight are determined.

[0025] For example, based on the rehabilitation program information, the number of completed biofeedback training sessions is determined. The number of completed biofeedback training sessions refers to the actual number of pelvic floor muscle biofeedback training (BFT) sessions completed by the rehabilitation user. The first preset tension contraction electromyography (EMG) value, the second preset tension contraction EMG value, the first preset Shannon diversity index, and the second preset Shannon diversity index are obtained. The first preset tension contraction EMG value and the first preset Shannon diversity index are the rehabilitation user's personalized rehabilitation target values ​​(which can be set based on the median or excellent level of the normal range of this indicator for healthy individuals of the same age and gender). The second preset tension contraction EMG value and the second preset Shannon diversity index are derived from the rehabilitation patient's postoperative baseline assessment value (the value of this indicator measured during the first comprehensive assessment of the rehabilitation patient at a specific time point (usually one month post-surgery, when the patient's physical condition is basically stable). Based on the tension contraction EMG value, the Shannon diversity index, the first preset tension contraction EMG value, the second preset tension contraction EMG value, the first preset Shannon diversity index, and the second preset Shannon diversity index, a first dynamic weight for the tension contraction EMG value and a second dynamic weight for the Shannon diversity index are determined.

[0026] According to an embodiment of the present invention, determining the first dynamic weight and the second dynamic weight based on the electromyographic value of tension contraction, the Shannon diversity index, the first preset electromyographic value of tension contraction, the second preset electromyographic value of tension contraction, the first preset Shannon diversity index, and the second preset Shannon diversity index includes: determining the first dynamic weight at the i-th moment of the monitoring period according to formula (1). Second dynamic weight , (1) in, To monitor the electromyographic value of tense contraction at time i of the monitoring cycle, The first preset electromyographic value for tense contraction is... The second preset electromyographic value for tense contraction is... To measure the Shannon diversity index at the i-th time point of the monitoring period, The first preset Shannon diversity index, The second preset Shannon diversity index. To monitor the electromyographic value of tense contraction at time i-1 of the monitoring cycle, For the time point corresponding to the i-th moment of the monitoring period, This refers to the time point corresponding to the (i-1)th moment of the monitoring period. The Shannon diversity index is the value at the (i-1)th time step of the monitoring period.

[0027] According to one embodiment of the present invention, The difference between the tense contraction electromyography (EMG) value at time i of the monitoring cycle and the second preset tense contraction EMG value, and the ratio between the first preset tense contraction EMG value and the second preset tense contraction EMG value, represent the transformation of the tense contraction EMG value from a dimensional, numerically diverse raw value into a standardized evaluation coefficient (ranged between 0 and 1). Furthermore, the first and second preset tense contraction EMG values ​​are set based on individual goals and starting points. Similarly, this can eliminate the interference of individual differences. This represents the Shannon diversity index after eliminating individual interference and standardization. This represents the recent rate of change of the standardized value of pelvic floor muscle electromyography (PEMG) from time i-1 to time i in the monitoring period. The larger the rate of change, the faster the muscle function is improving. This represents the recent rate of change of the standardized value of gut microbiota diversity from time i-1 to time i in the monitoring period. The larger the rate of change, the faster the microbiota recovery. This represents the relative strength of the recovery dynamics of the two systems, namely the electromyographic value of tense contraction and the Shannon diversity index, from time i-1 to time i in the monitoring period. During the calculation, the system can automatically add a very small constant to the denominator to prevent the denominator from being zero. A value much greater than 1 indicates that the rate of muscle function recovery is much faster than the rate of gut microbiota recovery. When the value is close to 1, it indicates that the recovery rates of the two are comparable and their coordination is good. A value much less than 1 indicates that the rate of gut microbiota recovery is much faster than the rate of muscle function recovery. When muscle function recovers much faster than microbiota recovery, it means that pelvic floor muscle strength and coordination have significantly improved, but gut microbiota diversity and function are still in a state of imbalance, which may lead to severe low anterior resection syndrome. When microbiota recovery is much faster than muscle function recovery, it means that through intervention (e.g., stoma fluid reinfusion) or self-regulation, the microbiota has tended to be balanced, but the recovery of pelvic floor neuromuscular function is slow, which may lead to the risk of passive incontinence and defecation weakness, fecal impaction and overflow incontinence. The first dynamic weight corresponding to the electromyographic value of tense contraction, when When the value increases, i.e., when electromyographic recovery is relatively faster, the first dynamic weight... It will approach 1, the second dynamic weight It will approach 0.

[0028] In this way, a first dynamic weight and a second dynamic weight can be determined based on the tense contraction electromyography (EMG) value, Shannon diversity index, a first preset tense contraction EMG value, a second preset tense contraction EMG value, a first preset Shannon diversity index, and a second preset Shannon diversity index. During the calculation process, the tense contraction EMG value and Shannon diversity index of the rehabilitation user can be standardized and individual differences can be reduced. Based on the standardized value of the processed tense contraction EMG value and the standard deviation of the Shannon diversity index, the balance between muscle function recovery and microbiota recovery can be assessed, and the first dynamic weight and the second dynamic weight can be determined, thus improving the accuracy of the first dynamic weight and the second dynamic weight.

[0029] According to one embodiment of the present invention, the synergistic recovery coefficient of pelvic floor flora is determined. This includes: determining the pelvic floor microbiota co-healing coefficient at the i-th moment of the monitoring period according to formula (2). , (2) in, The first dynamic weight at the i-th moment of the monitoring period, The second dynamic weight is the weight at the i-th time point of the monitoring period. To preset weights, To monitor the electromyographic value of tense contraction at time i of the monitoring cycle, The first preset electromyographic value for tense contraction is... The second preset electromyographic value for tense contraction is... To measure the Shannon diversity index at the i-th time point of the monitoring period, The first preset Shannon diversity index, The second preset Shannon diversity index. This represents the number of completed biofeedback training iterations at the i-th time point of the monitoring period.

[0030] According to one embodiment of the present invention, The number of completed biofeedback training sessions at time i of the monitoring period represents the irreversible time and effort invested by the rehabilitation user. Let be the arctangent function of the number of completed biofeedback training sessions at time i of the monitoring period, representing the patient's learning curve for rehabilitation training, where initial efforts yield significant returns. The value increases rapidly, but as the number of training sessions increases, it enters a plateau, and the marginal benefit of additional effort diminishes. (The value increases slowly until it flattens out). To preset weights, This is a fixed value, meaning that regardless of fluctuations in the two major physiological systems of muscle function and gut microbiota function, the efforts made by the rehabilitation user that meet the requirements of the program should receive stable and continuous recognition. This recognition (i.e., the contribution of this item to the total score) should not be significantly adjusted due to short-term fluctuations in electromyography or gut microbiota. It can be set to 0.2. and The meaning of is the same as the meaning of the corresponding part in formula (1), and will not be repeated here. The pelvic floor microbiota collaborative rehabilitation coefficient is determined by weighted summation based on three aspects: muscle function, microbiota function, and patient recovery training status.

[0031] In this way, the pelvic floor microbiota collaborative rehabilitation coefficient can be determined based on the first dynamic weight, the second dynamic weight, the number of completed biofeedback training sessions, the electromyographic value of tension contraction, the Shannon diversity index, the first preset electromyographic value of tension contraction, the second preset electromyographic value of tension contraction, the first preset Shannon diversity index, and the second preset Shannon diversity index. During the calculation process, the pelvic floor microbiota collaborative rehabilitation coefficient can be determined by weighted summation based on three aspects: muscle function, microbiota function, and the patient's recovery training status. This improves the comprehensiveness and accuracy of the pelvic floor microbiota collaborative rehabilitation coefficient.

[0032] According to an embodiment of the present invention, in step S2, the stoma fluid reinfusion initiation result is determined based on multiple rehabilitation identification results determined by the tense contraction electromyography value and the Shannon diversity index, including: if all multiple rehabilitation identification results are 1, the stoma fluid reinfusion initiation result is to perform stoma fluid reinfusion; otherwise, stoma fluid reinfusion is not performed.

[0033] Figure 2 An exemplary schematic diagram illustrating the determination of the ostomy fluid reinfusion initiation result according to an embodiment of the present invention is shown.

[0034] According to an embodiment of the present invention, step S2 includes: Step S21: Determine the pelvic floor electromyography (PMA) plateau identification result based on the tense contraction electromyography (EMG) value, including: if the growth rate of the standardized tense contraction EMG value in the three most recent consecutive training sessions is consistently less than the preset growth rate threshold, then the pelvic floor EMG plateau identification result is 1; otherwise, the pelvic floor EMG plateau identification result is 0. Step S22, determine the weight imbalance identification result based on the first dynamic weight and the second dynamic weight, including: if the ratio of the second dynamic weight to the first dynamic weight is less than a preset ratio, the weight imbalance identification result is 1; otherwise, the weight imbalance identification result is 0. Step S23: Determine the microbial community decline identification result based on the Shannon diversity index, including: if the Shannon diversity index shows a decline, the microbial community decline identification result is 1; otherwise, the microbial community decline identification result is 0. Step S24: Based on the identification results of the plateau phase of pelvic floor electromyography, the identification results of the weight imbalance, and the identification results of the microbial decay, determine the ostomy fluid reinfusion initiation result, including: if multiple rehabilitation identification results are all 1, the ostomy fluid reinfusion initiation result is to perform ostomy fluid reinfusion; otherwise, ostomy fluid reinfusion is not performed.

[0035] For example, based on the tense contraction electromyography (EMG) values, the growth rate of the standardized tense contraction EMG values ​​for the three most recent consecutive training sessions is determined. If the growth rate of the standardized tense contraction EMG values ​​for the three most recent consecutive training sessions is consistently less than a preset growth rate threshold (which can be set to 0.01), it indicates that the pelvic floor EMG function has entered a plateau phase (the intervention time is ripe, and the window for rapid muscle function improvement will not be missed when external intervention is carried out), and the pelvic floor EMG function plateau phase identification result is 1; otherwise, the pelvic floor EMG function plateau phase identification result is 0. If the ratio of the second dynamic weight to the first dynamic weight is less than 0.5, it indicates that the microbiota recovery speed is relatively slow, and the weight imbalance identification result is 1; otherwise, the weight imbalance identification result is 0. A value less than 0 indicates a recent actual decline in gut microbiota diversity, suggesting a deterioration in gut microbiota function and requiring external intervention. The gut microbiota attenuation identification result is 1. Conversely, a value greater than 0 indicates a value greater than 0. If the pelvic floor electromyography function plateau identification result, weight imbalance identification result, and gut microbiota attenuation identification result are all 1, it indicates that pelvic floor electromyography function has entered a plateau phase, the gut microbiota recovery rate is relatively slow, and gut microbiota diversity has recently shown an actual decline, requiring external intervention. The stoma fluid reinfusion initiation result is 1. Conversely, a value greater than 0 indicates a value greater than 0.

[0036] According to one embodiment of the present invention, in step S3, if stoma fluid reinfusion is performed, a dynamic response coefficient is determined based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient, including: weighted summation of the differences between the second dynamic weight before and after reinfusion, the Shannon diversity index, and the pelvic floor microbiota co-healing coefficient to determine the dynamic response coefficient. .

[0037] Figure 3 A schematic diagram illustrating the determination of dynamic response coefficients according to an embodiment of the present invention is shown.

[0038] According to an embodiment of the present invention, step S3 includes: Step S31: Determine the Shannon diversity index before reintroduction and the Shannon diversity index after reintroduction based on the Shannon diversity index. Step S32: Determine the pelvic floor microbiota co-recovery coefficient before reinfusion and the pelvic floor microbiota co-recovery coefficient after reinfusion based on the pelvic floor microbiota co-recovery coefficient. Step S33: Determine the second dynamic weight before and after the back-input based on the second dynamic weight; Step S34: Determine the dynamic response coefficient based on the Shannon diversity index before reinfusion, the Shannon diversity index after reinfusion, the pelvic floor microbiota co-recovery coefficient before reinfusion, the pelvic floor microbiota co-recovery coefficient after reinfusion, the second dynamic weight before reinfusion, and the second dynamic weight after reinfusion.

[0039] For example, based on the Shannon diversity index, the Shannon diversity index before and after stoma fluid reinfusion (the time corresponding to the time before stoma fluid reinfusion) and after reinfusion (usually 24 hours after the end of reinfusion) are determined; based on the pelvic floor flora co-recovery coefficient, the pelvic floor flora co-recovery coefficient before and after stoma fluid reinfusion and the pelvic floor flora co-recovery coefficient after reinfusion are determined, wherein the Shannon diversity index before and after reinfusion has been standardized (as in the treatment method in formula (1)); based on the second dynamic weight, the second dynamic weight before and after stoma fluid reinfusion and the second dynamic weight after reinfusion are determined; based on the Shannon diversity index before and after reinfusion, the pelvic floor flora co-recovery coefficient before and after reinfusion, the second dynamic weight before and after reinfusion, the comprehensive effect of stoma fluid reinfusion is evaluated, and the dynamic response coefficient is determined.

[0040] According to an embodiment of the present invention, step S34 includes: determining the dynamic response coefficient according to formula (3). , (3) in, , and To preset weights, The Shannon diversity index before reintroduction, The Shannon diversity index after reintroduction. The coefficient for synergistic recovery of pelvic floor flora before reinfusion. The coefficient for synergistic recovery of pelvic floor flora after reinfusion. The second dynamic weight before refeedback. This is the second dynamic weight after the input.

[0041] According to one embodiment of the present invention, The ratio represents the relative difference between the Shannon diversity index after reinfusion and the Shannon diversity index before reinfusion. The larger the ratio, the greater the improvement in microbial diversity brought about by the ostomy fluid reinfusion. The value represents the difference between the pelvic floor microbiota synergistic recovery coefficient after infusion and the pelvic floor microbiota synergistic recovery coefficient before infusion. The larger the difference, the greater the improvement in the synergistic recovery of microbiota and muscles after stoma fluid infusion. The relative difference between the second dynamic weight after reinfusion and the second dynamic weight before reinfusion indicates whether this stoma fluid reinfusion intervention effectively alleviated the imbalance in recovery speed. The larger the size, the better the relief effect. The dynamic response coefficient is determined based on the improvement in microbial diversity, the enhancement of synergistic recovery of microbiota and muscle, and the degree of relief of imbalances in recovery speed caused by stoma fluid reinfusion. , and To preset weights, , and These can be set to 0.5, 0.3, and 0.2 respectively.

[0042] In this way, the dynamic response coefficient can be determined based on the Shannon diversity index before reinfusion, the Shannon diversity index after reinfusion, the pelvic floor microbiota synergistic recovery coefficient before reinfusion, the pelvic floor microbiota synergistic recovery coefficient after reinfusion, the second dynamic weight before reinfusion, and the second dynamic weight after reinfusion. During the calculation process, the dynamic response coefficient can be determined based on three aspects: the improvement of microbiota diversity by stoma fluid reinfusion, the improvement of the synergistic recovery of microbiota and muscles, and the degree of relief of the imbalance in recovery speed. This improves the comprehensiveness of the dynamic response coefficient.

[0043] According to an embodiment of the present invention, in step S4, a monitoring and adjustment result is generated based on the dynamic response coefficient and the pelvic floor microbiota co-recovery coefficient, including: determining whether it is necessary to change the dosage and flow rate of the stoma fluid reinfusion based on the dynamic response coefficient, and determining whether it is necessary to adjust the training program based on the pelvic floor microbiota co-recovery coefficient.

[0044] Figure 4 A schematic diagram illustrating the generation of monitoring and adjustment results according to an embodiment of the present invention is shown as an example.

[0045] According to an embodiment of the present invention, step S4 includes: Step S41, if To maintain a constant dose and flow rate of ostomy fluid reinfusion; Step S42, if Reduce the flow rate of the ostomy fluid reinfusion while maintaining the same dosage; Step S43, if Suspend the backfeed; Step S44, if Then proceed to maintenance training; Step S45, if This indicates that the recovery process is stable; Step S46, if Review the training program and enhance neuromuscular electrical stimulation; Step S47, if Clinical review was initiated.

[0046] For example, if the dynamic response coefficient is greater than 0.15, the current stoma fluid reinfusion dose and flow rate can be maintained. If the dynamic response coefficient is between 0.05 and 0.15, and the recovering patient experiences significant abdominal distension during reinfusion, the current stoma fluid reinfusion flow rate can be reduced (e.g., from 100 mL / min to 80 mL / min), while maintaining the dose. If the dynamic response coefficient remains less than 0.05, reinfusion should be suspended, triggering a consultation with clinicians and nutritionists to review the overall condition of the recovering patient. If the pelvic floor flora synergistic recovery coefficient is greater than 0.75, it indicates synergistic effects. Recovery is progressing well with no significant weaknesses, and maintenance training can begin. Preparations should be made to assess stoma reduction conditions. If the pelvic floor microbiota synergistic recovery coefficient is between 0.5 and 0.75, the recovery process is stable. If either the first or second dynamic weight consistently falls below 0.3, it suggests a potential weakness. If the pelvic floor microbiota synergistic recovery coefficient is between 0.3 and 0.5, recovery is slow or significantly imbalanced, requiring review of the training plan and enhancement of neuromuscular electrical stimulation. If the pelvic floor microbiota synergistic recovery coefficient is less than 0.3, recovery has stalled or is severely imbalanced. Clinical review should be initiated immediately.

[0047] The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to embodiments of the present invention can accurately detect the electromyographic values ​​of tonic contraction and the Shannon diversity index during the recovery process of rehabilitation users. Based on these values, it assesses the synergistic recovery status of muscles and microbiota, determines whether stoma fluid reinfusion is necessary, determines the pelvic floor microbiota synergistic recovery coefficient and the stoma fluid reinfusion initiation result, and, if stoma fluid reinfusion is determined, evaluates the intervention effect based on the Shannon diversity index and the pelvic floor microbiota synergistic recovery coefficient, and determines the dynamic response coefficient. Furthermore, monitoring and adjustment are performed based on the dynamic response coefficient and the pelvic floor microbiota synergistic recovery coefficient, thereby improving the accuracy of preventive stoma pelvic floor rehabilitation monitoring. When determining the first and second dynamic weights, the first and second dynamic weights can be determined based on the tense contraction electromyography (EMG) value, Shannon diversity index, first preset tense contraction EMG value, second preset tense contraction EMG value, first preset Shannon diversity index, and second preset Shannon diversity index. During the calculation process, the tense contraction EMG value and Shannon diversity index of the rehabilitation user can be standardized and individual differences can be reduced. Based on the standardized value of the processed tense contraction EMG value and the standard deviation of the Shannon diversity index, the balance between muscle function recovery and microbiota recovery can be assessed, and the first and second dynamic weights can be determined, thus improving the accuracy of the first and second dynamic weights. When determining the pelvic floor microbiota synergistic rehabilitation coefficient, it can be determined based on the first dynamic weight, the second dynamic weight, the number of completed biofeedback training sessions, the electromyographic value of tense contractions, the Shannon diversity index, the first preset tense contraction electromyographic value, the second preset tense contraction electromyographic value, the first preset Shannon diversity index, and the second preset Shannon diversity index. During the calculation process, a weighted summation can be performed based on three aspects: muscle function, microbiota function, and the patient's recovery training status, thus improving the comprehensiveness and accuracy of the pelvic floor microbiota synergistic rehabilitation coefficient. When determining the dynamic response coefficient, it can be determined based on the Shannon diversity index before reinfusion, the Shannon diversity index after reinfusion, the pelvic floor microbiota synergistic rehabilitation coefficient before reinfusion, the pelvic floor microbiota synergistic rehabilitation coefficient after reinfusion, the second dynamic weight before reinfusion, and the second dynamic weight after reinfusion. During the calculation process, the dynamic response coefficient can be determined based on three aspects: the improvement of microbiota diversity after stoma fluid reinfusion, the improvement of the synergistic recovery of microbiota and muscles, and the degree of relief of the imbalance in recovery speed, thus improving the comprehensiveness of the dynamic response coefficient.

[0048] Figure 5 An exemplary block diagram of a biofeedback-based preventive stoma pelvic floor rehabilitation monitoring system according to an embodiment of the present invention is shown, the system comprising: The collaborative rehabilitation module uses the relative strength of recovery dynamics, represented by tense contraction electromyography (EMG) values ​​and the Shannon diversity index of gut microbiota, to determine the first and second dynamic weights. It then uses a weighted sum of the number of completed biofeedback training sessions, EMG values, and the Shannon diversity index to determine the pelvic floor microbiota collaborative rehabilitation coefficient. ; The initiation result module is used to determine the initiation result of stoma fluid reinfusion based on multiple rehabilitation identification results determined by tense contraction electromyography value and Shannon diversity index; The dynamic response module is used to determine the dynamic response coefficient based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient if stoma fluid reinfusion is performed. This includes: weighted summation of the differences in the second dynamic weights, Shannon diversity index, and pelvic floor microbiota co-healing coefficient before and after reinfusion to determine the dynamic response coefficient. ; The monitoring and adjustment module is used to generate monitoring and adjustment results based on the dynamic response coefficient and the pelvic floor microbiota co-recovery coefficient. This includes: determining whether it is necessary to change the dosage and flow rate of the stoma fluid reinfusion based on the dynamic response coefficient, and determining whether it is necessary to adjust the training program based on the pelvic floor microbiota co-recovery coefficient.

[0049] This invention can be a method, apparatus, system, and / or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for performing various aspects of the invention.

[0050] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and any variations or modifications may be made to the implementation of the present invention without departing from the stated principles.

Claims

1. A biofeedback-based method for monitoring preventive stoma pelvic floor rehabilitation, characterized in that, include: By analyzing the relative strength of recovery dynamics represented by electromyography (EMG) values ​​during contraction and the Shannon diversity index of gut microbiota, a first and second dynamic weight were determined. Furthermore, a weighted sum of the number of completed biofeedback training sessions, EMG values ​​during contraction, and the Shannon diversity index was calculated to determine the pelvic floor microbiota-assisted recovery coefficient. ; Based on multiple rehabilitation identification results determined by tense contraction electromyography values ​​and Shannon diversity index, the ostomy fluid reinfusion initiation result was determined; If stoma fluid reinfusion is performed, the dynamic response coefficient is determined based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient. This includes: weighted summation of the differences in the second dynamic weights before and after reinfusion, the Shannon diversity index, and the pelvic floor microbiota co-healing coefficient to determine the dynamic response coefficient. ; Based on the dynamic response coefficient and the pelvic floor microbiota co-recovery coefficient, monitoring and adjustment results are generated, including: determining whether the dosage and flow rate of the stoma fluid reinfusion need to be changed based on the dynamic response coefficient, and determining whether the training program needs to be adjusted based on the pelvic floor microbiota co-recovery coefficient.

2. The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to claim 1, characterized in that, The first and second dynamic weights are determined by the relative strength of the recovery dynamics, represented by the electromyographic values ​​of tense contraction and the Shannon diversity index of the gut microbiota, including: Based on the rehabilitation program information, determine the number of biofeedback training sessions that have been completed; Obtain the first preset tense contraction electromyographic value, the second preset tense contraction electromyographic value, the first preset Shannon diversity index, and the second preset Shannon diversity index. Based on the electromyographic values ​​of tension contraction, the Shannon diversity index, the first preset electromyographic values ​​of tension contraction, the second preset electromyographic values ​​of tension contraction, the first preset Shannon diversity index, and the second preset Shannon diversity index, a first dynamic weight and a second dynamic weight are determined.

3. The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to claim 2, characterized in that, Based on the electromyographic (EMG) values ​​of tension contraction, the Shannon diversity index, the first preset EMG value of tension contraction, the second preset EMG value of tension contraction, the first preset Shannon diversity index, and the second preset Shannon diversity index, a first dynamic weight and a second dynamic weight are determined, including: according to the formula: ； Determine the first dynamic weight at time i of the monitoring period. Second dynamic weight ,in, To monitor the electromyographic value of tense contraction at time i of the monitoring cycle, The first preset electromyographic value for tense contraction is... The second preset electromyographic value for tense contraction is... To measure the Shannon diversity index at time i of the monitoring period, The first preset Shannon diversity index, The second preset Shannon diversity index. To monitor the electromyographic value of tense contraction at time i-1 of the monitoring cycle, For the time point corresponding to the i-th moment of the monitoring period, This refers to the time point corresponding to the (i-1)th moment of the monitoring period. The Shannon diversity index is the value at the (i-1)th time step of the monitoring period.

4. The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to claim 2, characterized in that, Determine the synergistic recovery coefficient of pelvic floor flora Including: According to the formula: ； Determine the pelvic floor microbiota co-healing coefficient at time i of the monitoring period. ,in, The first dynamic weight at the i-th moment of the monitoring period, The second dynamic weight is the weight at the i-th time point of the monitoring period. To preset weights, To monitor the electromyographic value of tense contraction at time i of the monitoring cycle, The first preset electromyographic value for tense contraction is... The second preset electromyographic value for tense contraction is... To measure the Shannon diversity index at time i of the monitoring period, The first preset Shannon diversity index, The second preset Shannon diversity index. This represents the number of completed biofeedback training iterations at the i-th time point of the monitoring period.

5. The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to claim 2, characterized in that, The rehabilitation identification results include the identification results of the plateau phase of pelvic floor electromyography function, the identification results of weight imbalance, and the identification results of microbial decay; Based on multiple rehabilitation identification results determined by tense contraction electromyography values ​​and Shannon diversity index, the results for initiating stoma fluid reinfusion were determined, including: Based on the tense contraction electromyography (EMG) values, the pelvic floor EMG function plateau identification result is determined, including: if the growth rate of the standardized tense contraction EMG values ​​in the three most recent consecutive training sessions is consistently less than a preset growth rate threshold, then the pelvic floor EMG function plateau identification result is 1; otherwise, the pelvic floor EMG function plateau identification result is 0. Based on the first dynamic weight and the second dynamic weight, the weight imbalance identification result is determined, including: if the ratio of the second dynamic weight to the first dynamic weight is less than a preset ratio, the weight imbalance identification result is 1; otherwise, the weight imbalance identification result is 0. Based on the Shannon diversity index, the microbial community decline identification result is determined, including: if the Shannon diversity index shows a decline, the microbial community decline identification result is 1; otherwise, the microbial community decline identification result is 0. Based on the identification results of the plateau phase of pelvic floor electromyography, the identification results of the weight imbalance, and the identification results of the microbial decay, the stoma fluid reinfusion initiation result is determined, including: if multiple rehabilitation identification results are all 1, the stoma fluid reinfusion initiation result is to perform stoma fluid reinfusion; otherwise, stoma fluid reinfusion is not performed.

6. The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to claim 2, characterized in that, If stoma fluid reinfusion is performed, the dynamic response coefficient should be determined based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient, including: Based on the Shannon diversity index, the Shannon diversity index before reintroduction and the Shannon diversity index after reintroduction are determined; Based on the pelvic floor microbiota co-recovery coefficient, determine the pelvic floor microbiota co-recovery coefficient before reinfusion and the pelvic floor microbiota co-recovery coefficient after reinfusion; Based on the second dynamic weight, determine the second dynamic weight before and after the transmission; The dynamic response coefficient is determined based on the Shannon diversity index before reinfusion, the Shannon diversity index after reinfusion, the pelvic floor microbiota co-recovery coefficient before reinfusion, the pelvic floor microbiota co-recovery coefficient after reinfusion, the second dynamic weight before reinfusion, and the second dynamic weight after reinfusion.

7. The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to claim 6, characterized in that, The dynamic response coefficient is determined based on the Shannon diversity index before reinfusion, the Shannon diversity index after reinfusion, the pelvic floor microbiota co-recovery coefficient before reinfusion, the pelvic floor microbiota co-recovery coefficient after reinfusion, the second dynamic weight before reinfusion, and the second dynamic weight after reinfusion, including: according to the formula: ； Determine the dynamic response coefficients ,in, , and To preset weights, The Shannon diversity index before reintroduction, The Shannon diversity index after reintroduction. The coefficient for synergistic recovery of pelvic floor flora before reinfusion. The coefficient for synergistic recovery of pelvic floor flora after reinfusion. The second dynamic weight before refeedback. This is the second dynamic weight after the input.

8. The biofeedback-based preventive stoma pelvic floor rehabilitation monitoring method according to claim 1, characterized in that, Based on the dynamic response coefficient and the pelvic floor microbiota synergistic recovery coefficient, monitoring and regulation results are generated, including: if To maintain a constant dose and flow rate of ostomy fluid reinfusion; if Reduce the flow rate of the ostomy fluid reinfusion while maintaining the same dosage; if Suspend the backfeed; if Then proceed to maintenance training; if This indicates that the recovery process is stable; if Review the training program and enhance neuromuscular electrical stimulation; if Clinical review was initiated.

9. A biofeedback-based preventive stoma pelvic floor rehabilitation monitoring system, characterized in that, For performing the method of any one of claims 1-8, comprising: The collaborative rehabilitation module uses the relative strength of recovery dynamics, represented by tense contraction electromyography (EMG) values ​​and the Shannon diversity index of gut microbiota, to determine the first and second dynamic weights. It then uses a weighted sum of the number of completed biofeedback training sessions, EMG values, and the Shannon diversity index to determine the pelvic floor microbiota collaborative rehabilitation coefficient. ; The initiation result module is used to determine the initiation result of stoma fluid reinfusion based on multiple rehabilitation identification results determined by tense contraction electromyography value and Shannon diversity index; The dynamic response module is used to determine the dynamic response coefficient based on the Shannon diversity index and the pelvic floor microbiota co-healing coefficient if stoma fluid reinfusion is performed. This includes: weighted summation of the differences in the second dynamic weights, Shannon diversity index, and pelvic floor microbiota co-healing coefficient before and after reinfusion to determine the dynamic response coefficient. ; The monitoring and adjustment module is used to generate monitoring and adjustment results based on the dynamic response coefficient and the pelvic floor microbiota co-recovery coefficient. This includes: determining whether it is necessary to change the dosage and flow rate of the stoma fluid reinfusion based on the dynamic response coefficient, and determining whether it is necessary to adjust the training program based on the pelvic floor microbiota co-recovery coefficient.

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