A method and system for pelvic floor muscle pressure assessment

Abstract

The present application relates to the technical field of pelvic floor muscle pressure evaluation, and more particularly, to a pelvic floor muscle pressure evaluation method and system, comprising: acquiring pressure values of a user when performing an evaluation action in multiple sampling periods, and respectively forming corresponding multiple data sets according to the sampling periods, wherein the evaluation action is composed of pelvic floor muscle contraction and pelvic floor muscle relaxation; according to the data collected during the pelvic floor muscle contraction, the present application automatically calculates the muscle strength and fatigue degree corresponding to the muscle, and in order to ensure the accuracy of the calculation result, the present application considers the non-standard contraction in the pelvic floor contraction, such as not holding after contraction, secondary contraction and the like; on the one hand, the present application adopts a multiple average method to exclude abnormal points, and on the other hand, judges whether it is the maximum value in the process of one rising trend, so as to exclude the non-standard contraction method. The accuracy of the final evaluation result is improved.

Description

Technical Field

[0001] This invention relates to the field of pelvic floor muscle pressure assessment. More specifically, this invention relates to a method and system for assessing pelvic floor muscle pressure. Background Technology

[0002] The levator ani muscles of the pelvic floor are an important muscle group that maintains the normal physiological position and function of the pelvic floor organs. They consist of the iliococcygeus, pubococcygeus, and puborectalis muscles on both sides. Risk factors such as pregnancy, childbirth, and pelvic floor surgery can easily lead to damage to the levator ani muscles, causing asymmetry between the left and right sides. This can result in various pelvic floor dysfunction disorders, including urinary incontinence, organ prolapse, sexual dysfunction, and pelvic pain. Therefore, it is essential to provide a pressure monitoring device that can assess the function (i.e., pelvic floor muscle strength) of women.

[0003] Currently, when staff conduct pelvic floor muscle pressure tests on users, the operation is done manually, which may lead to some non-standard procedures and affect the accuracy of the assessment results. Summary of the Invention

[0004] This invention provides a method and system for assessing pelvic floor muscle pressure, aiming to solve the problem that in current related technologies, when staff conduct pelvic floor muscle pressure tests on users, some non-standard operations may occur due to manual operation, which may affect the accuracy of the assessment results.

[0005] In a first aspect, the present invention provides a method for assessing pelvic floor muscle pressure, comprising: acquiring pressure values ​​when a user performs an assessment action within multiple sampling periods, and grouping the pressure values ​​into corresponding datasets according to the sampling periods, wherein the assessment action consists of pelvic floor muscle contraction and pelvic floor muscle relaxation; traversing the data points in the dataset, calculating the average value of the data points, and obtaining a target dataset, wherein the calculation formula is: In the formula, This indicates that the target data is concentrated in Average value at time points In the first dataset The pressure value at a given time point, In the second dataset The pressure value at a given time point, Indicates in the third dataset The pressure value at a given time point, Indicates in the fourth dataset The pressure value at a given time point, In the Nth dataset Pressure values ​​at specific points in time;

[0006] The maximum pressure value of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation in each set of evaluation actions in the target dataset are obtained. For any set of evaluation actions, if the maximum pressure value and the minimum pressure value meet the preset conditions, they are determined as valid values. Based on the number of valid values, the muscle strength level of the pelvic floor muscles is determined.

[0007] Furthermore, in response to the maximum pressure value and the minimum pressure value satisfying the preset conditions, the value is determined to be valid, including: in response to the maximum pressure value and the minimum pressure value not satisfying the preset conditions, the value is determined to be invalid.

[0008] Furthermore, the strength grade of the pelvic floor muscles is determined based on the number of effective values, including: when the number of effective values ​​is I, the strength grade of the pelvic floor muscles is grade I.

[0009] Furthermore, the maximum pressure value and the minimum pressure value satisfy preset conditions, including: the preset conditions are: the maximum pressure value is greater than 70%, and the minimum pressure value is less than or equal to a first threshold.

[0010] Furthermore, in response to the fact that no pressure value is detected at any sampling time in the plurality of datasets, a data point is generated using a linear interpolation method.

[0011] Furthermore, it also includes: calculating the muscle fatigue of the pelvic floor muscles based on the maximum pressure value of each group of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation.

[0012] Furthermore, calculating the muscle fatigue of the pelvic floor muscles includes: obtaining the maximum pressure of pelvic floor muscle contraction in all evaluation actions in the target dataset; obtaining the minimum pressure of pelvic floor muscle relaxation in all evaluation actions in the target dataset; calculating the difference between the maximum pressure and the minimum pressure, and determining the muscle fatigue of the pelvic floor muscles based on the magnitude of the difference.

[0013] Furthermore, the degree of muscle fatigue of the pelvic floor muscles is determined based on the magnitude of the difference, including: when the difference is equal to a first threshold, the degree of muscle fatigue of the pelvic floor muscles is normal; when the difference is less than the first threshold, the degree of muscle fatigue of the pelvic floor muscles is abnormal.

[0014] In a second aspect, the present invention also provides a pelvic floor muscle pressure assessment system, comprising a processor and a memory, characterized in that the memory stores a computer program, and the processor executes the computer program to implement the pelvic floor muscle pressure assessment method described in any of the above claims.

[0015] Beneficial effects: Based on data collected during pelvic floor muscle contraction, the system automatically calculates... The invention addresses the muscle strength and fatigue levels corresponding to the muscle type. To ensure accuracy, the calculation method considers irregular contractions during pelvic floor contractions, such as failure to maintain the contraction and subsequent secondary contractions. This invention employs multiple averaging methods to eliminate outliers and also determines whether the contraction represents an extreme value within an upward trend to exclude irregular contractions. This improves the accuracy of the final assessment results. Attached Figure Description

[0016] By referring to the accompanying drawings, several embodiments of the invention are illustrated by way of example and not limitation, and the same or corresponding reference numerals denote the same or corresponding parts, wherein:

[0017] Figure 1 This is a schematic diagram illustrating a pelvic floor muscle pressure assessment flowchart according to an embodiment of the present invention;

[0018] Figure 2 This is a schematic diagram illustrating the system structure according to an embodiment of the present invention.

[0019] Figure Labels

[0020] 1. Processor; 2. Communication bus; 3. Memory; 4. Communication interface. Detailed Implementation

[0021] 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, not all, of the embodiments of the present invention. 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.

[0022] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0023] Women may experience various pelvic floor disorders after childbirth. Before providing a treatment plan, it is necessary to assess the patient's pelvic floor function. Pelvic floor muscle pressure assessment is a method used to evaluate the functional health of the pelvic floor muscles and is also a commonly used method for assessing pelvic floor muscle strength. However, currently, when staff conduct pelvic floor muscle pressure tests on users, because the operation is performed manually, some non-standard operations may occur, which may affect the accuracy of the assessment results.

[0024] Glossary: ​​Pelvic floor muscle strength assessment: This involves using various methods and techniques to assess the functional status of the pelvic floor muscles, including muscle tension, coordination, strength, and endurance.

[0025] Static pressure: In pelvic floor muscle strength assessment, static pressure refers to the pressure of the pelvic floor muscles in a static state. Through finger examination or other assessment methods, doctors can sense the static pressure of the pelvic floor muscles in a relaxed or contracted state to assess their tension and functional status.

[0026] Dynamic pressure: Dynamic pressure refers to the pressure changes generated by the pelvic floor muscles during exercise or activity.

[0027] Fatigue refers to the state of reduced strength, decreased endurance, and weakened performance of muscles or the body as a whole due to continuous use during exercise or activity.

[0028] In this embodiment, the pelvic floor muscle strength is assessed, wherein the pelvic floor muscle strength includes Muscle-like and Myosoid. Slow-twitch muscle fibers, also known as slow-twitch fibers, are primarily responsible for prolonged, low-intensity, sustained activity. Muscle-like fibers, also known as fast-twitch muscle fibers, are primarily responsible for high-intensity, short-duration explosive activities. Therefore, in this embodiment, [the following is selected] The myokinase is used to evaluate it; in other embodiments, this method can also be used to... The myokines were evaluated, and the evaluation process is as follows.

[0029] like Figure 1 As shown: S101: Data collection.

[0030] In one embodiment, an uninflated airbag is placed inside the user's vagina, and then the air pump is started to inflate the airbag. The airbag pressure value is monitored in real time. When the pressure inside the airbag reaches the set static pressure, it is determined that the inflation is complete. Only after the inflation is complete can the pelvic floor muscle assessment be performed.

[0031] In one embodiment, for any sampling period, the pressure values ​​of the user when performing evaluation actions within that sampling period are collected to obtain a first dataset consisting of a preset number of data points, wherein one data point corresponds to one pressure value, and a set of evaluation actions consists of pelvic floor muscle contraction, pelvic floor muscle relaxation, and pelvic floor muscle rest. When collecting data points, pressure values ​​are collected every preset time interval, specifically, the preset time interval can be 1 second.

[0032] For example, a user performs a set of assessment actions, including: starting from 0 seconds, resting for 0-1 seconds, contracting for 1-2 seconds, and relaxing for 2-3 seconds. This constitutes one set of assessment actions. The user repeats the above steps to complete a preset number of sets of assessment actions, which constitutes one sampling cycle. In this embodiment, the preset number of sets is 5. In other embodiments, the preset number of sets can be 4 or 6, etc., and can be adjusted according to specific circumstances.

[0033] It should be noted that when calculating the user's pelvic floor muscle strength level and pelvic floor muscle fatigue, the average value of data from multiple sampling periods is used to improve data accuracy and reduce data errors. In this embodiment, data from five sampling periods can be collected, resulting in five datasets: the first dataset, the second dataset, the third dataset, the fourth dataset, and the fifth dataset. In other embodiments, data from four or six sampling periods can be collected, depending on the specific circumstances.

[0034] It should be noted that this method is used for When assessing muscle-like structures, the assessment time for the assessed movements and... The assessment time for myokines varies; specifically, for... When assessing myofascial responses, the following steps are used: rest for 0-1 seconds, begin contraction at the 1st second and hold, relax at the 8th second, then relax for 8-9 seconds, and rest for 10 seconds. Repeat this process 5 times to obtain an assessment of the effectiveness of the treatment. Data collected during the evaluation of myokines using a single cycle.

[0035] S102: Calculate the average value of the data points to obtain the target dataset.

[0036] In one embodiment, the data points of the first dataset are iterated through, and the average value of the data points is calculated to obtain the target dataset. Specifically, the average value of the data points in the target dataset is calculated based on the average value of data from five sampling periods, using the following formula:

[0037] In the formula, This indicates that the target data is concentrated in Average value at time points In the first dataset The pressure value at a given time point, In the second dataset The pressure value at a given time point, Indicates in the third dataset The pressure value at a given time point, Indicates in the fourth dataset The pressure value at a given time point, In the Nth dataset The stress value at each time point. Following the method described above, the average value of the target data across all time points is calculated, thus obtaining the target dataset.

[0038] For example, data was collected over two periods. In each sampling period, pressure values ​​were collected at times T1, T2, T3, and T4. The pressure values ​​collected in the first sampling period at times T1, T2, T3, and T4 correspond to Z1, Z2, Z3, and Z4, respectively. The pressure values ​​collected in the second sampling period at times T1, T2, T3, and T4 correspond to z1, z2, z3, and z4, respectively. To obtain the target dataset, the average value at each time point needs to be calculated. For example, to obtain the pressure value at time T1 in the target dataset, the pressure value at time T1 is (z1 + Z1) / 2; the pressure value at time T2 is (z2 + Z2) / 2; the pressure value at time T3 is (z3 + Z3) / 2; and the pressure value at time T4 is (z4 + Z4) / 2. Thus, the target dataset can be obtained.

[0039] It is important to note that if no pressure value is detected at any sampling time in any of the multiple datasets, a data point is generated using linear interpolation. For example, if there are pressure values ​​in the first, second, third, fourth, and fifth datasets that do not include time point m, a data point is generated using linear interpolation and inserted into the corresponding dataset. The effect is that interpolation is performed on missing data, and the interpolated data is used to calculate the pelvic floor muscle strength level and pelvic floor muscle fatigue, improving the accuracy of the assessment results. Linear interpolation refers to an interpolation method where the interpolation function is a first-order polynomial, and its interpolation error at the interpolation nodes is zero. Compared to other interpolation methods, such as parabolic interpolation, linear interpolation is simple and convenient.

[0040] S103: Determine the strength level of the pelvic floor muscles.

[0041] In one embodiment, the maximum pressure value of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation in each set of evaluation actions in the target dataset are obtained. For any set of evaluation actions, if the maximum and minimum pressure values ​​meet a preset condition, they are determined to be valid values; if the maximum and minimum pressure values ​​do not meet the preset condition, they are determined to be invalid values. Then, the muscle strength level of the pelvic floor muscles is determined based on the number of valid values. The preset condition is that the maximum pressure value is greater than 70%, and the minimum pressure value is less than or equal to a first threshold. In this embodiment, the first threshold is a percentage of static pressure, for example, 40% or 50% of static pressure, etc. The first threshold can be adjusted according to the actual situation. The static pressure is 40%. .

[0042] For example, the target dataset includes five sets of assessment actions. The first set of assessment actions consists of: a rest period from second 0 to second 1, a pelvic floor muscle contraction period from second 1 to second 2, and a pelvic floor muscle relaxation period from second 2 to third. The second set of assessment actions consists of: a rest period from second 3 to fourth, a pelvic floor muscle contraction period from second 4 to fifth, and a pelvic floor muscle relaxation period from fifth to sixth. The third set of assessment actions consists of: a rest period from second 6 to seventh, a pelvic floor muscle contraction period from seventh to eighth, and a pelvic floor muscle relaxation period from eighth to ninth. The fourth and fifth sets of assessment actions are arranged in the same manner. Thus, the maximum pressure value during the pelvic floor muscle contraction process in the first set of assessment actions is obtained. The minimum pressure value for pelvic floor muscle relaxation is The maximum pressure value during the pelvic floor muscle contraction process in the second set of assessments was... The minimum pressure value for pelvic floor muscle relaxation is The third, fourth, and fifth assessment actions are obtained in the same way as described above.

[0043] For the five sets of assessment movements, the number of times the preset conditions are met is counted. If the number of valid values ​​is 1, then the muscle strength level of the pelvic floor muscles is grade 1; for example, if the number of valid values ​​is 2, then the muscle strength level of the pelvic floor muscles is grade 2; if the number of valid values ​​is 4, then the muscle strength level of the pelvic floor muscles is grade 4. Thus, the user's pelvic floor muscle strength level can be obtained.

[0044] In another embodiment, for five sets of assessment actions, the number of times a preset condition is met is counted. Based on the number of valid values, the muscle strength level of the pelvic floor muscles is determined, further including: classifying the muscle strength level of the pelvic floor muscles into three levels: high, medium, and low. Specifically, if the number of valid values ​​is greater than a first preset number, the muscle strength level of the pelvic floor muscles is high; if the number of valid values ​​is greater than a second preset number but less than the first preset number, the muscle strength level of the pelvic floor muscles is medium; and if the number of valid values ​​is less than the second preset number, the muscle strength level of the pelvic floor muscles is high. In this embodiment, the empirical value of the first preset number is 5, and the empirical value of the second preset number is 3. In other embodiments, the empirical value of the first preset number is 4, and the empirical value of the second preset number is 2. The empirical values ​​of the first and second preset numbers can be adjusted according to the actual situation.

[0045] In one embodiment, the method further includes: calculating the muscle fatigue degree of the pelvic floor muscles based on the maximum pressure value of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation for each group. Specifically, the maximum pressure value of pelvic floor muscle contraction in all evaluation actions in the target dataset is obtained; the minimum pressure value of pelvic floor muscle relaxation in all evaluation actions in the target dataset is obtained; the difference between the maximum pressure value and the minimum pressure value is calculated, and the muscle fatigue degree of the pelvic floor muscles is determined based on the magnitude of the difference.

[0046] For example, regarding the maximum pressure: the pressure values ​​of pelvic floor muscle contraction during the five assessment movements were as follows: , , , and ,and ,So This represents the maximum pressure exerted by pelvic floor muscle contraction during all assessment movements. For the minimum pressure: the pressure values ​​of pelvic floor muscle contraction during the five assessment movements are as follows: , , , and ,and ,So This represents the minimum pressure required for pelvic floor muscle relaxation during all assessment movements. The difference between the maximum and minimum pressure can then be calculated; this difference equals... .

[0047] In one embodiment, determining the muscle fatigue level of the pelvic floor muscles based on the magnitude of the difference includes: if the difference equals a first threshold, the muscle fatigue level of the pelvic floor muscles is normal; if the difference is less than the first threshold, the muscle fatigue level of the pelvic floor muscles is abnormal. In this embodiment, the first threshold is 0.

[0048] Based on the above steps, this invention automatically calculates the data collected during pelvic floor muscle contraction. The invention addresses the muscle strength and fatigue levels corresponding to the muscle type. To ensure accuracy, the calculation method considers irregular contractions during pelvic floor contractions, such as failure to maintain the contraction and subsequent secondary contractions. This invention employs multiple averaging methods to eliminate outliers and also determines whether the contraction represents an extreme value within an upward trend to exclude irregular contractions. This improves the accuracy of the final assessment results.

[0049] This invention also provides a pelvic floor muscle pressure assessment system. For example... Figure 2 As shown, the system includes a processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement a pelvic floor muscle pressure assessment method according to the first aspect of the present invention.

[0050] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and therefore will not be described in detail here.

[0051] In this invention, the aforementioned memory can be any tangible medium containing or storing a program that can be used or combined with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High-Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc., or any other medium that can be used to store desired information and can be accessed by an application, module, or both. Any such computer storage medium can be part of a device or accessible to or connected to a device. Any application or module described in this invention can be implemented using computer-readable / executable instructions that can be stored or otherwise maintained by such a computer-readable medium.

[0052] In the description of this specification, "multiple" or "several" means at least two, such as two, three or more, unless otherwise explicitly specified.

[0053] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0054] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A method for assessing pelvic floor muscle pressure, characterized in that, include: The pressure values ​​of the user when performing the evaluation action are obtained in multiple sampling periods, and the pressure values ​​are divided into multiple corresponding datasets according to the sampling period. The evaluation action consists of pelvic floor muscle contraction and pelvic floor muscle relaxation. By iterating through the data points in the dataset and calculating the average value of each data point, the target dataset is obtained. The calculation formula is as follows: ； In the formula, This indicates that the target data is concentrated in Average value at time points In the first dataset Pressure values ​​at specific points in time. In the second dataset Pressure values ​​at specific points in time. Indicates in the third dataset Pressure values ​​at specific points in time. Indicates in the fourth dataset Pressure values ​​at specific points in time. In the Nth dataset Pressure values ​​at specific points in time; The maximum pressure value of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation in each set of evaluation actions in the target dataset are obtained. For any set of evaluation actions, if the maximum pressure value and the minimum pressure value meet a preset condition, it is determined as a valid value; if the maximum pressure value and the minimum pressure value do not meet the preset condition, it is determined as an invalid value. The preset condition is that the maximum pressure value is greater than 70% and the minimum pressure value is less than or equal to a first threshold. The muscle strength level of the pelvic floor muscles is determined based on the number of valid values.

2. The pelvic floor muscle pressure assessment method according to claim 1, characterized in that, Based on the number of valid values, the muscle strength grade of the pelvic floor muscles is determined, including: When the number of valid values ​​is I, the muscle strength grade of the pelvic floor muscles is grade I.

3. The pelvic floor muscle pressure assessment method according to claim 1, characterized in that, If no pressure value is detected at any sampling time in the plurality of datasets, a data point is generated using linear interpolation.

4. The pelvic floor muscle pressure assessment method according to claim 1, characterized in that, Also includes: The degree of pelvic floor muscle fatigue is calculated based on the maximum pressure value of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation for each group.

5. The pelvic floor muscle pressure assessment method according to claim 4, characterized in that, Calculate the muscle fatigue level of the pelvic floor muscles, including: Obtain the maximum pressure of pelvic floor muscle contraction in all evaluation actions in the target dataset; Obtain the minimum pressure for pelvic floor muscle relaxation in all evaluation actions in the target dataset; The difference between the maximum and minimum pressure values ​​is calculated, and the degree of muscle fatigue of the pelvic floor muscles is determined based on the magnitude of the difference.

6. The pelvic floor muscle pressure assessment method according to claim 5, characterized in that, The degree of pelvic floor muscle fatigue is determined based on the magnitude of the difference, including: When the difference equals the first threshold, the muscle fatigue of the pelvic floor muscles is normal. When the difference is less than a first threshold, the muscle fatigue of the pelvic floor muscles is abnormal.

7. A pelvic floor muscle pressure assessment system, comprising a processor and a memory, characterized in that, The memory stores a computer program, and the processor executes the computer program to implement the pelvic floor muscle pressure assessment method as described in any one of claims 1-6.

Images