Pelvic floor muscle pressure assessment method and system
By automatically calculating the strength level and fatigue of the pelvic floor muscles, the problem of inaccuracy caused by manual operation is solved. Multiple average and linear interpolation methods are used to improve the accuracy of pelvic floor muscle pressure assessment.
Patent Information
- Application Number
- CN202411325975.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-23
- Publication Date
- 2025-01-07
- Estimated Expiration
- 2044-09-23
AI Technical Summary
In the prior art, pelvic floor muscle stress testing is manually operated, which may lead to non-compliant operations, affecting the accuracy of the evaluation results.
By obtaining the pressure values of the user's pelvic floor muscle contraction and relaxation during multiple sampling periods, the average value and maximum/minimum pressure values are calculated, and the strength level and muscle fatigue of the pelvic floor muscle are automatically calculated, and the strength level and muscle fatigue of the pelvic floor muscle are eliminated. anomaly points to improve assessment accuracy.
Accurate assessment of pelvic floor muscle strength and fatigue degree is achieved, the accuracy of the evaluation results is improved, and the error caused by manual operation is reduced.
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Figure CN119257583A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of pelvic floor muscle pressure assessment, and more specifically, to a pelvic floor muscle pressure assessment method and system. Background Art
[0002] The levator anus muscles of the pelvic floor are an important muscle group that maintains the normal physiological position of the pelvic floor organs and realizes their normal physiological functions. They are composed of the left and right iliococcygeus muscles, pubococcygeus muscles, and puborectalis muscles. Risk factors such as pregnancy, childbirth, and pelvic floor surgery can easily lead to levator anus muscle damage, resulting in asymmetry of the left and right levator anus muscles, which can cause urinary incontinence, organ prolapse, sexual dysfunction, pelvic pain, and other pelvic floor dysfunction diseases. Therefore, it is very necessary to provide a pressure detection device that can evaluate the status of female pelvic floor function (i.e., pelvic floor muscle strength).
[0003] Currently, when staff conduct pelvic floor muscle pressure tests on users, since it is a manual operation, some non-compliant operations may occur, which in turn affects the accuracy of the evaluation results. Summary of the invention
[0004] The present invention provides a pelvic floor muscle pressure assessment method and system, aiming to solve the problem in the related technology that when staff currently perform pelvic floor muscle pressure tests on users, some non-standard operations may occur due to manual operation, which in turn affects the accuracy of the assessment results.
[0005] In a first aspect, the present invention provides a pelvic floor muscle pressure assessment method, comprising: obtaining pressure values when a user performs an assessment action within multiple sampling periods, and respectively forming the pressure values into corresponding multiple data sets according to the sampling period, wherein the assessment action is composed of pelvic floor muscle contraction and pelvic floor muscle relaxation; traversing the data points in the data set, calculating the average value of the data points, and obtaining a target data set, and the calculation formula is: ; In the formula, Indicates that the target data is concentrated in The average value of the time points, In the first data set The pressure value at a time point, In the second data set The pressure value at a time point, In the third data set The pressure value at a time point, In the fourth data set The pressure value at a time point, Indicates that in the Nth data set Pressure value at a time point; The maximum pressure value of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation in each group of evaluation actions in the target data set are obtained. For any group of evaluation actions, in response to the maximum pressure value and the minimum pressure value satisfying the preset conditions, they are determined as valid values, and the muscle strength level of the pelvic floor muscles is determined based on the number of valid values.
[0006] Further, in response to the maximum pressure value and the minimum pressure value satisfying a preset condition, determining them as valid values includes: in response to the maximum pressure value and the minimum pressure value not satisfying the preset condition, determining them as invalid values.
[0007] Further, according to the number of effective values, the muscle strength level of the pelvic floor muscles is determined, including: in response to the number of effective values being 1, the muscle strength level of the pelvic floor muscles is level I.
[0008] Furthermore, the maximum pressure value and the minimum pressure value satisfy a preset condition, including: the preset condition is satisfied as follows: the maximum pressure value is greater than 70%, and the minimum pressure value is less than or equal to a first threshold value.
[0009] Furthermore, in response to the fact that no pressure value is detected at any sampling moment in the multiple data sets, a data point is generated by using a linear interpolation method.
[0010] Furthermore, the method further includes: calculating the degree of fatigue of the pelvic floor muscles according to the maximum pressure value of each group of pelvic floor muscle contraction and the minimum pressure value of each group of pelvic floor muscle relaxation.
[0011] Furthermore, the muscle fatigue of the pelvic floor muscles is calculated, including: obtaining the maximum pressure value of the pelvic floor muscle contraction in all the evaluation actions in the target data set; obtaining the minimum pressure value of the pelvic floor muscle relaxation in all the evaluation actions in the target data set; calculating the difference between the maximum pressure value and the minimum pressure value, and determining the muscle fatigue of the pelvic floor muscles according to the size of the difference.
[0012] Furthermore, the degree of muscle fatigue of the pelvic floor muscles is determined according to the size 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.
[0013] In a second aspect, the present invention further provides a pelvic floor muscle pressure assessment system, comprising a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to implement any of the above-described pelvic floor muscle pressure assessment methods.
[0014] Beneficial effects: Based on the data collected during the pelvic floor muscle contraction, the The muscle strength and fatigue degree corresponding to the muscle-like muscle are considered in the calculation method to ensure the accuracy of the calculation results. For example, the phenomenon of not maintaining the contraction after contraction and contracting again is taken into account. On the one hand, the present invention adopts the method of multiple averages to exclude abnormal points, and on the other hand, it determines whether it is the maximum value in the process of an upward trend, so as to exclude the practice of irregular contraction. The accuracy of the final evaluation result is improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] The following detailed description is read with reference to the accompanying drawings, which illustrate several embodiments of the present invention in an exemplary and non-limiting manner, and in which like or corresponding reference numerals represent like or corresponding parts, wherein: Figure 1 is a flowchart schematically illustrating pelvic floor muscle pressure assessment according to an embodiment of the present invention; Figure 2 FIG. 1 is a schematic diagram schematically showing a system structure according to an embodiment of the present invention.
[0016] Reference numerals 1. Processor; 2. Communication bus; 3. Memory; 4. Communication interface. DETAILED DESCRIPTION
[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.
[0018] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.
[0019] Women may experience various pelvic floor disorders after childbirth. Before giving a treatment plan, it is necessary to first evaluate 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. It is also a commonly used method in pelvic floor muscle strength assessment. However, when staff currently perform pelvic floor muscle pressure tests on users, since it is a manual operation, some non-standard operations may occur, which will affect the accuracy of the evaluation results.
[0020] Glossary: Pelvic floor muscle strength assessment: Use different methods and techniques to assess the functional status of the pelvic floor muscles, including muscle tension, coordination, strength and endurance.
[0021] Static pressure: In pelvic floor muscle strength assessment, static pressure can refer to the pressure of the pelvic floor muscles at rest. Through finger examination or other assessment methods, the doctor can feel the static pressure of the pelvic floor muscles in a relaxed or contracted state to assess their tension and functional status.
[0022] Dynamic pressure: Dynamic pressure refers to the pressure changes generated by the pelvic floor muscles during exercise or activity.
[0023] Fatigue: refers to the state of decreased strength, endurance and performance of muscles or overall body systems due to continued use during exercise or activity.
[0024] In this embodiment, the pelvic floor muscle strength is evaluated, wherein the pelvic floor muscle strength includes Myofascial and Muscle-like. Twitch fibers: Also known as slow-twitch fibers, they are primarily responsible for long-lasting, low-intensity, sustained activity. Muscle type: also known as fast muscle fiber, mainly responsible for high-intensity, short-term explosive activities. Therefore, in this embodiment, select In other embodiments, this method can also be used to evaluate The muscle group was evaluated and the evaluation process was as follows.
[0025] like Figure 1 As shown: S101: collecting data.
[0026] In one embodiment, an uninflated airbag is placed in the user's vagina, and then the air pump is controlled to start inflating the airbag, and the airbag pressure value is monitored in real time. When the pressure in the airbag reaches the set static pressure, the inflation is determined to be complete. The pelvic floor muscle assessment can only be performed after the inflation is complete.
[0027] In one embodiment, for any sampling period, the pressure value when the user performs the evaluation action within the sampling period is collected to obtain a first data set consisting of a preset number of data points, wherein one data point corresponds to one pressure value, and a group of the evaluation actions consists of pelvic floor muscle contraction, pelvic floor muscle relaxation, and pelvic floor muscle rest. When collecting data points, the pressure value is collected once every preset time, and specifically, the preset time can be 1S.
[0028] Exemplarily, the user performs a set of evaluation actions, including: starting from 0 seconds, resting for 0 to 1 seconds, contracting for 1 to 2 seconds, and relaxing for 2 to 3 seconds, which is a set of evaluation actions. According to the above steps, the preset number of groups of evaluation actions are repeatedly completed, which is a sampling cycle. In this embodiment, the preset number of groups is 5 groups. In other embodiments, the preset number of groups can be 4 groups or 6 groups, etc., which can be adjusted according to specific actual conditions.
[0029] It should be noted that when calculating the muscle strength level and muscle fatigue of the user's pelvic floor muscles, the average value of the data of multiple sampling cycles is used to improve the accuracy of the data and reduce the data error. In this embodiment, data from five sampling cycles can be collected to obtain five data sets, namely the first data set, the second data set, the third data set, the fourth data set and the fifth data set. In other embodiments, data from four sampling cycles or six sampling cycles can also be collected, depending on the specific circumstances.
[0030] It should be noted that this method is When evaluating muscle groups, the assessment time of the assessment action should be The assessment time of muscle type is different. Specifically, When evaluating muscle, the following steps are used: rest from 0 to 1 second, contract from the 1st second and hold, relax from the 8th second, relax from 8 to 9 seconds, and then rest for 10 seconds. Repeat the above process 5 times to get the result. The data of a single use cycle is collected when evaluating muscle.
[0031] S102: Calculate the average value of the data points to obtain a target data set.
[0032] In one embodiment, the data points of the first data set are traversed, and the average value of the data points is calculated to obtain the target data set. Specifically, for the data points in the target data set, the average value of the data of five sampling periods is calculated, and the calculation formula is: ; In the formula, Indicates that the target data is concentrated in The average value of the time points, In the first data set The pressure value at a time point, In the second data set The pressure value at a time point, In the third data set The pressure value at a time point, In the fourth data set The pressure value at a time point, Indicates that in the Nth data set Pressure value at a time point. According to the above method, the average value of all time points in the target data set is calculated, and the target data set is obtained.
[0033] Exemplarily, data of two cycles are collected, and each sampling cycle collects pressure values at T1, T2, T3 and T4. The pressure values collected at T1, T2, T3 and T4 in the first sampling cycle correspond to Z1, Z2, Z3 and Z4 respectively, and the pressure values collected at T1, T2, T3 and T4 in the second sampling cycle correspond to z1, z2, z3 and z4 respectively. Then, when obtaining the target data set, it is necessary to calculate the average value at each moment, for example: when obtaining the pressure value at T1 in the target data set, the pressure value at T1 is (z1+ Z1) / 2; when obtaining the pressure value at T2 in the target data set, the pressure value at T2 is (z2+ Z2) / 2; when obtaining the pressure value at T3 in the target data set, the pressure value at T3 is (z3+ Z3) / 2; when obtaining the pressure value at T4 in the target data set, the pressure value at T4 is (z4+ Z4) / 2. Thus, the target data set can be obtained.
[0034] It should be noted that if no pressure value is detected at any sampling time in the multiple data sets, a data point is generated using the linear interpolation method. For example: if there is a pressure value that does not contain the m time point in the first data set, the second data set, the third data set, the fourth data set and the fifth data set, a data point is generated using the linear difference method, and the data point is inserted into the corresponding data set. The effect is: interpolation calculation is performed on the missing data, and the muscle strength level and muscle fatigue of the pelvic floor muscles are calculated using the interpolated data to improve the accuracy of the evaluation results. Linear interpolation refers to an interpolation method in which the interpolation function is a first-order polynomial, and the interpolation error at the interpolation node is zero. Compared with other interpolation methods, such as parabolic interpolation, linear interpolation is simple and convenient.
[0035] S103: Determine the strength level of the pelvic floor muscles.
[0036] In one embodiment, the maximum pressure value of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation in each group of evaluation actions in the target data set are obtained. For any group of evaluation actions, in response to the maximum pressure value and the minimum pressure value meeting the preset conditions, they are determined as valid values; if the maximum pressure value and the minimum pressure value do not meet the preset conditions, they are determined as invalid values. Then, according to the number of valid values, the muscle strength level of the pelvic floor muscles is determined. Among them, the preset conditions are met if: the maximum pressure value is greater than 70%, and the minimum pressure value is less than or equal to the first threshold. In this embodiment, the first threshold is a percentage of the static pressure, for example, forty percent of the static pressure or fifty percent of the static pressure, etc. The first threshold can be adjusted according to actual conditions. Among them, the static pressure is 40 .
[0037] Exemplarily, the target data set includes five groups of evaluation actions, among which the first group of evaluation actions is: the 0th second to the 1st second is the rest process, the 1st second to the 2nd second is the pelvic floor muscle contraction process, and the 2nd second to the 3rd second is the pelvic floor muscle relaxation process; the second group of evaluation actions is: the 3rd second to the 4th second is the rest process, the 4th second to the 5th second is the pelvic floor muscle contraction process, and the 5th second to the 6th second is the pelvic floor muscle relaxation process. The third group of evaluation actions is: the 6th second to the 7th second is the rest process, the 7th second to the 8th second is the pelvic floor muscle contraction process, and the 8th second to the 9th second is the pelvic floor muscle relaxation process. The fourth group of evaluation actions and the fifth group of evaluation actions are arranged in the same manner as above. At this point, the maximum pressure value of the pelvic floor muscle contraction process in the first group of evaluation actions is The minimum pressure for pelvic floor muscle relaxation is The maximum pressure value of the pelvic floor muscle contraction process in the second group of assessment actions is The minimum pressure for pelvic floor muscle relaxation is The third group of evaluation actions, the fourth group of evaluation actions, and the fifth group of evaluation actions are obtained in the same way as above.
[0038] For the five groups of evaluation actions, the number of actions that meet the preset conditions is counted, and if the number of valid values is 1, the muscle strength level of the pelvic floor muscles is level 1; for example, if the number of valid values is 2, the muscle strength level of the pelvic floor muscles is level 2; if the number of valid values is 4, the muscle strength level of the pelvic floor muscles is level 4. Thus, the muscle strength level of the user's pelvic floor muscles can be obtained.
[0039] In another embodiment, for five groups of evaluation actions, the number of actions that meet the preset conditions is counted, and the strength level of the pelvic floor muscles is determined according to the number of effective values, which also includes: dividing the strength level of the pelvic floor muscles into three levels: high, medium, and low. Specifically, if the number of effective values is greater than the first preset number, the strength level of the pelvic floor muscles is advanced, if the number of effective values is greater than the second preset number and less than the first preset number, the strength level of the pelvic floor muscles is intermediate; if the number of effective values is less than the second preset number, the strength level of the pelvic floor muscles is advanced. In this embodiment, the experience value of the first preset number is 5, and the experience value of the second preset number is 3. In other embodiments, the experience value of the first preset number is 4, and the experience value of the second preset number is 2. The experience value of the first preset number and the experience value of the second preset number can be adjusted according to actual conditions.
[0040] In one embodiment, the method further includes: calculating the degree of fatigue of the pelvic floor muscles according to the maximum pressure value of each group of pelvic floor muscle contraction and the minimum pressure value of the pelvic floor muscle relaxation. Specifically, the maximum pressure value of the pelvic floor muscle contraction in all the evaluation actions in the target data set is obtained; the minimum pressure value of the pelvic floor muscle relaxation in all the evaluation actions in the target data set is obtained; the difference between the maximum pressure value and the minimum pressure value is calculated, and the degree of fatigue of the pelvic floor muscles is determined according to the size of the difference.
[0041] For example, for the maximum pressure: the pressure values of the pelvic floor muscle contraction in the five groups of assessment movements are , , , and ,and ,So The maximum pressure of pelvic floor muscle contraction in all the evaluation actions. For the minimum pressure value: the pressure values of pelvic floor muscle contraction in the five groups of evaluation actions are , , , and ,and ,So is the minimum pressure of pelvic floor muscle relaxation in all evaluated actions. At this point, the difference between the maximum pressure and the minimum pressure can be calculated, and the difference is equal to .
[0042] In one embodiment, the degree of muscle fatigue of the pelvic floor muscles is determined according to the size of the difference, including: if the difference is equal to a first threshold, the degree of muscle fatigue of the pelvic floor muscles is normal; if the difference is less than the first threshold, the degree of muscle fatigue of the pelvic floor muscles is abnormal. In this embodiment, the first threshold is 0.
[0043] According to the above steps, the present invention automatically calculates the data collected during the pelvic floor muscle contraction process. The muscle strength and fatigue degree corresponding to the muscle-like muscle are considered in the calculation method to ensure the accuracy of the calculation results. For example, the phenomenon of not maintaining the contraction after contraction and contracting again is taken into account. On the one hand, the present invention adopts the method of multiple averages to exclude abnormal points, and on the other hand, it determines whether it is the maximum value in the process of an upward trend, so as to exclude the practice of irregular contraction. The accuracy of the final evaluation result is improved.
[0044] The present invention also provides a pelvic floor muscle pressure assessment system. Figure 2 As shown, the system includes a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a pelvic floor muscle pressure assessment method according to the first aspect of the present invention is implemented.
[0045] The system also includes other components familiar to those skilled in the art, such as a communication bus and a communication interface, whose configuration and functions are known in the art and thus will not be described in detail here.
[0046] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of a device or accessible or connectable to a device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that may be stored or otherwise maintained by such a computer-readable medium.
[0047] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.
[0048] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described 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.
[0049] The above-mentioned embodiments only express several implementation methods of the present invention, and the description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent application. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention.
Claims
1. A method for assessing pelvic floor muscle pressure, characterized in that: include: Obtaining pressure values when the user performs an evaluation action within multiple sampling periods, and respectively forming a plurality of corresponding data sets according to the sampling periods, wherein the evaluation action is composed of pelvic floor muscle contraction and pelvic floor muscle relaxation; Traverse the data points in the data set, calculate the average value of the data points, and obtain the target data set. The calculation formula is: ; In the formula, Indicates that the target data is concentrated in The average value of the time points, In the first data set The pressure value at a time point, In the second data set The pressure value at a time point, In the third data set The pressure value at a time point, In the fourth data set The pressure value at a time point, Indicates that in the Nth data set Pressure value at a time point; The maximum pressure value of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation in each group of evaluation actions in the target data set are obtained. For any group of evaluation actions, in response to the maximum pressure value and the minimum pressure value satisfying the preset conditions, they are determined as valid values, and 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: In response to the maximum pressure value and the minimum pressure value satisfying a preset condition, determining them as valid values includes: In response to the maximum pressure value and the minimum pressure value not satisfying a preset condition, they are determined to be invalid values.
3. The pelvic floor muscle pressure assessment method according to claim 1, characterized in that: According to the number of effective values, the strength level of the pelvic floor muscles is determined, including: In response to the number of effective values being 1, the muscle strength level of the pelvic floor muscles is level I.
4. The pelvic floor muscle pressure assessment method according to claim 2, characterized in that: The maximum pressure value and the minimum pressure value meet the preset conditions, including: The preset condition is met as follows: the maximum pressure value is greater than 70%, and the minimum pressure value is less than or equal to a first threshold value.
5. The pelvic floor muscle pressure assessment method according to claim 1, characterized in that: In response to the fact that no pressure value is detected at any sampling time in the plurality of data sets, a data point is generated by using a linear interpolation method.
6. The pelvic floor muscle pressure assessment method according to claim 1, characterized in that: Also includes: The degree of pelvic floor muscle fatigue was calculated based on the maximum pressure value of each set of pelvic floor muscle contraction and the minimum pressure value of pelvic floor muscle relaxation.
7. The pelvic floor muscle pressure assessment method according to claim 6, characterized in that: Calculate the fatigue of the pelvic floor muscles, including: Obtaining the maximum pressure of pelvic floor muscle contraction in all evaluation actions in the target data set; Obtaining the minimum pressure value of pelvic floor muscle relaxation in all evaluation actions in the target data set; The difference between the maximum pressure and the minimum pressure is calculated, and the degree of muscle fatigue of the pelvic floor muscles is determined according to the size of the difference.
8. The pelvic floor muscle pressure assessment method according to claim 7, characterized in that: The degree of pelvic floor muscle fatigue is determined based on the size of the difference, including: In response to the difference being equal to the first threshold, the muscle fatigue degree of the pelvic floor muscle is normal; In response to the difference being less than the first threshold, the muscle fatigue of the pelvic floor muscles is abnormal.
9. 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 according to any one of claims 1 to 8.
Citation Information
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