A pelvic floor muscle test data evaluation method, system and device

Abstract

The present application relates to a method, system and device for evaluating pelvic floor muscle test data, the method comprising obtaining test data of the pelvic floor muscle within a test cycle, presetting a demarcation value, obtaining a first reference image of a type I muscle fiber of the pelvic floor muscle, and a second reference image of a type II muscle fiber of the pelvic floor muscle, based on the type I muscle fiber test segment and the type II muscle fiber test segment, respectively constructing a type I muscle test curve and a type II muscle test curve, combining the first reference image, the second reference image, the type I muscle test curve and the type II muscle test curve, respectively performing a type I muscle strength classification, a type I muscle fatigue calculation, a type II muscle strength classification and a type II muscle fatigue calculation. The system and device are used to execute the above method. The present application can accurately and quickly perform muscle strength classification and fatigue calculation on pelvic floor muscle data, reduce human subjective influence, and help improve the accuracy and evaluation efficiency of pelvic floor muscle test data evaluation.

Description

Technical Field

[0001] The present application relates to the technical field of pelvic floor muscle assessment, and in particular to a pelvic floor muscle test data assessment method, system and device. Background Art

[0002] At present, pelvic floor muscle dysfunction is mainly judged by the pelvic floor muscle strength. Traditional pelvic floor muscle dysfunction screening uses a pressure balloon to collect the subject's vaginal contraction pressure, or uses an electrode probe to collect vaginal electromyography values ​​for judgment. The data collected at a single time is single, which is not conducive to accurate screening of pelvic floor muscle dysfunction.

[0003] Based on the above problems, the applicant submitted a Chinese patent application with application number 202310580646.0 on May 22, 2023, entitled A Pelvic Floor Muscle Dysfunction Screening and Treatment System. The patent application proposes a technical solution for simultaneously obtaining vaginal contraction pressure and vaginal electromyography values, which helps to improve the accuracy of pelvic floor muscle dysfunction screening. However, the applicant found in the actual application of the technical solution of the application that after collecting pressure signals and electromyography signals during pelvic floor muscle contraction and relaxation, and generating biofeedback images and reference images of Class I muscle fibers and Class II muscle fibers, the application mainly relies on manual observation of images to grade muscle strength and fatigue, which will introduce human subjective bias and affect the accuracy of the screening results, while also reducing the screening efficiency.

[0004] In summary, the pelvic floor muscle dysfunction screening system in the prior art still has the defects of large human subjective influence and low evaluation efficiency when evaluating the test data of the pelvic floor muscles, and needs to be improved urgently. Summary of the invention

[0005] In order to solve the problems existing in the above-mentioned prior art, the purpose of this application is to provide a pelvic floor muscle test data evaluation method, system and device. This application can accurately and quickly perform muscle strength classification and fatigue calculation on pelvic floor muscle data, reduce human subjective influence, and help improve the accuracy and efficiency of pelvic floor muscle test data evaluation.

[0006] A pelvic floor muscle test data evaluation method described in the present application comprises the following steps:

[0007] S01, obtaining test data of the pelvic floor muscles in a test cycle, wherein the test data includes evaluation indicators with time series information, and the evaluation indicators include the myoelectric value of the vagina and / or pressure value , the test data has a type I muscle fiber test segment and a type II muscle fiber test segment;

[0008] S02, preset demarcation value , obtaining a first reference image of a type I muscle fiber of the pelvic floor muscle and a second reference image of a type II muscle fiber of the pelvic floor muscle, and constructing a type I muscle test curve and a type II muscle test curve based on the type I muscle fiber test segment and the type II muscle fiber test segment, respectively;

[0009] S03, combining the first reference image and the first muscle test curve, performing a first muscle strength classification and / or a first muscle fatigue calculation; combining the second reference image and the second muscle test curve, performing a second muscle strength classification and / or a second muscle fatigue calculation;

[0010] The muscle strength classification of a type of muscle includes: obtaining the contraction area of ​​the test curve of the type of muscle as the first test area , obtaining the first reference image does not exceed the demarcation value The area of ​​the part is recorded as the first reference area , according to the first test area With the first reference area The first ratio Obtaining the muscle strength classification of the first type of muscle test curve;

[0011] The second-class muscle strength classification includes: obtaining the second-class muscle test curve exceeding the cutoff value The area of ​​the part is recorded as the second test area , obtaining the second reference image exceeds the threshold value The area of ​​the part is recorded as the second reference area , according to the second test area With the second reference area The second ratio Obtain the muscle strength classification of the two types of muscle test curves.

[0012] Preferably, before the second type of muscle strength classification, the method further includes:

[0013] Preset about EMG value The electromyographic threshold , and about the active contraction pressure value The systolic pressure threshold , obtain the electromyographic value of the second type of muscle fiber test segment The maximum value of , and pressure values Maximum shrinkage value , if satisfied , , and at least one point in the Class II muscle test curve exceeds the cut-off value , then the second-class muscle strength classification is performed, if it is not satisfied, the second-class muscle strength classification result is output as level 0.

[0014] Preferably, in the muscle strength classification of a type of muscle, the muscle test curve of a type of muscle is decomposed into Consecutive data points , convert the first reference image into an approximate trapezoidal image, and calculate the first test area according to the following formula With the first reference area The first ratio :

[0015] ;

[0016] in, Indicates the sequence number of the data point, , Indicates the serial number is The vertical coordinate corresponding to the data point is represents the test duration of the muscle test curve of the type, and Respectively represent the upper and lower widths of the trapezoidal image, represents the height of the trapezoidal image, and Equal to the cut-off value ;

[0017] In the above mentioned muscle strength classification:

[0018] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 0,

[0019] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 1,

[0020] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 2,

[0021] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 3,

[0022] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type is level 4,

[0023] If the first ratio , then the output of the muscle strength grading result of the above-mentioned type of muscle is level 5.

[0024] Preferably, the first type of muscle fatigue calculation includes:

[0025] The first peak point exceeding the screening threshold in the initial segment of the muscle test curve of the first type is selected as the first calculation point , select the first calculation point Another point after a certain period of time is recorded as the second calculation point , respectively obtain the first calculation point The corresponding first time point , and the second calculation point The corresponding second time point ;

[0026] If the evaluation index includes vaginal electromyography , then the fatigue degree of the muscle test curve is calculated according to the following formula: :

[0027] ;

[0028] in, The first calculation point The corresponding electromyographic value, The second calculation point The corresponding electromyographic value;

[0029] If the evaluation index includes vaginal pressure value , then the fatigue degree of the muscle test curve is calculated according to the following formula: :

[0030] ;

[0031] in, The first calculation point The corresponding pressure value, The second calculation point The corresponding pressure value.

[0032] Preferably, in the two-type muscle strength classification, the test period of the two-type muscle test curve is divided into continuous data intervals, each with continuous data points, and obtain the maximum reference electromyographic value of the second reference image. , minimum baseline EMG value , Maximum reference pressure value and minimum reference pressure value , calculate the second test area in each data interval according to the following formula With the second reference area Ratio :

[0033] ;

[0034] ;

[0035] in, Indicates the sequence number of the first data point in the data interval. Indicates the sequence number of the data point, , Indicates that the second reference image exceeds the threshold The length of the bottom side of the part, Indicates the time length of each data interval, Indicates that the second reference image exceeds the threshold Height of the part;

[0036] The second test area in each data interval is obtained With the second reference area Ratio The sum is added and the average is obtained, and the average is the second ratio. ;

[0037] In the two categories of muscle strength classification:

[0038] If the second ratio , then the output of the second type of muscle strength classification result is level 1,

[0039] If the second ratio , then the output of the second type of muscle strength classification result is level 2,

[0040] If the second ratio , then the output of the second type of muscle strength classification result is level 3,

[0041] If the second ratio , then the output of the second type of muscle strength classification result is level 4,

[0042] If the second ratio , then the output of the second type of muscle strength grading result is level 5.

[0043] Preferably, the second type of muscle fatigue calculation includes:

[0044] The first peak point of the second type muscle test curve is selected as the third calculation point , the last peak point is recorded as the fourth calculation point , respectively obtain the third calculation point The corresponding third time point , and the fourth calculation point The corresponding fourth time point ;

[0045] If the evaluation index includes vaginal electromyography , then the fatigue degree of the second type muscle test curve is calculated according to the following formula :

[0046] ;

[0047] in, represents the third calculation point The corresponding electromyographic value, represents the fourth calculation point The corresponding electromyographic value;

[0048] If the evaluation index includes vaginal pressure value , then the fatigue degree of the muscle test curve is calculated according to the following formula: :

[0049] ;

[0050] in, represents the third calculation point The corresponding pressure value, represents the fourth calculation point The corresponding pressure value.

[0051] Preferably, the cutoff value is 50%.

[0052] A pelvic floor muscle test data evaluation system of the present application includes:

[0053] An input module is used to obtain test data of the pelvic floor muscles in a test cycle, wherein the test data includes evaluation indicators with time series information, and the evaluation indicators include the myoelectric value of the vagina and / or vaginal pressure , the test data has a type I muscle fiber test segment and a type II muscle fiber test segment;

[0054] Curve building module, which is used to preset cutoff values , obtaining a first reference image of a type I muscle fiber of the pelvic floor muscle and a second reference image of a type II muscle fiber of the pelvic floor muscle, and constructing a type I muscle test curve and a type II muscle test curve based on the type I muscle fiber test segment and the type II muscle fiber test segment in combination with the first reference image and the second reference image;

[0055] A calculation module, which is used to perform a muscle strength classification of a class of muscles and / or a fatigue calculation of a class of muscles in combination with the first reference image and a class of muscle test curve; and to perform a muscle strength classification of a class of muscles and / or a fatigue calculation of a class of muscles in combination with the second reference image and a class of muscle test curve;

[0056] The muscle strength classification of a type of muscle includes: obtaining the contraction area of ​​the test curve of the type of muscle as the first test area , obtaining the first reference image does not exceed the demarcation value The area of ​​the part is recorded as the first reference area , according to the first test area With the first reference area The first ratio Obtaining the muscle strength classification of the first type of muscle test curve;

[0057] The second-class muscle strength classification includes: obtaining the second-class muscle test curve exceeding the cutoff value The area of ​​the part is recorded as the second test area , obtaining the second reference image exceeds the threshold value The area of ​​the part is recorded as the second reference area , according to the second test area With the second reference area The second ratio Obtain the muscle strength classification of the two types of muscle test curves.

[0058] A computer device of the present application includes a processor and a memory connected by signals, wherein the memory stores at least one instruction or at least one program, and when the at least one instruction or the at least one program is loaded by the processor, the pelvic floor muscle test data evaluation method as described above is executed.

[0059] A computer-readable storage medium of the present application stores at least one instruction or at least one program, and when the at least one instruction or the at least one program is loaded by a processor, the pelvic floor muscle test data evaluation method as described above is executed.

[0060] The pelvic floor muscle test data evaluation method, system and device described in the present application have the advantages that the present application constructs a reference image and a test curve based on the test data of the pelvic floor muscles, combines the force characteristics of the first and second muscle fibers, and sets a demarcation value to grade the muscle strength of the first muscle by the ratio of the contraction area of ​​the first muscle test curve to the area of ​​the first reference image that does not exceed the demarcation value, and grades the muscle strength of the second muscle by the ratio of the area of ​​the second muscle test curve that exceeds the demarcation value to the area of ​​the second reference image that exceeds the demarcation value. In this way, the muscle strength grades of the first and second muscle fibers can be automatically calculated, and fatigue calculation can be performed based on the reference image and the test curve. No manual observation and judgment are required, and the muscle strength grade and fatigue calculation of the pelvic floor muscle data can be performed accurately and quickly, thereby reducing the subjective influence of human beings and helping to improve the accuracy and efficiency of the pelvic floor muscle test data evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 is a flowchart of the steps of a pelvic floor muscle test data evaluation method described in this embodiment;

[0062] Figure 2 is a schematic diagram of a first test area of ​​a type I muscle test curve of the present embodiment;

[0063] Figure 3 is a schematic diagram of a first reference area of ​​a first reference image of this embodiment;

[0064] Figure 4 is a schematic diagram of the second test area of ​​the Class II muscle test curve of this embodiment;

[0065] Figure 5 is a schematic diagram of a second reference area of ​​a second reference image in this embodiment.

[0066] Figure 6 It is a schematic diagram of the structure of the computer device described in this embodiment.

[0067] Description of reference numerals: 101 - processor, 102 - memory. DETAILED DESCRIPTION

[0068] like Figure 1 As shown, a pelvic floor muscle test data evaluation method described in the present application comprises the following steps:

[0069] S01, obtaining test data of the pelvic floor muscles in a test cycle, wherein the test data includes evaluation indicators with time series information, and the evaluation indicators include the myoelectric value of the vagina and / or pressure value , the test data has a type I muscle fiber test segment and a type II muscle fiber test segment;

[0070] Specifically, the test data of the pelvic floor muscles of the test subject can be collected within a test cycle by guiding the test subject to perform pelvic floor muscle contraction and expansion movements. The test data includes evaluation indicators with time series information. Generally speaking, pelvic floor muscle testing is a continuous process, so the collected test data is a series of continuous data with time series information. Evaluation indicators include the myoelectric value of the vagina and / or pressure value The evaluation index can be selected from one of the electromyographic value and the pressure value, or both. During the collection, the electromyographic and pressure integrated probes can be used for simultaneous collection. During the data evaluation stage, the selection is made according to the stage of the subject. For example, the appropriate evaluation index is selected based on whether the subject is in the screening stage or the treatment effect evaluation stage.

[0071] Specifically, since it is necessary to grade the muscle strength of Class I muscle fibers and Class II muscle fibers separately, the test data needs to include a Class I muscle fiber test segment and a Class II muscle fiber test segment. In one test process, through the standardized process of guiding the subject to exert force, the two curves of the main work of Class I muscle fibers and Class II muscle fibers can be obtained respectively, and the Class I muscle fibers and Class II muscle fibers can be distinguished according to the characteristics of their work. For example, Class I muscle fibers make continuous small force, and the change curves of their electromyographic values ​​and pressure values ​​are approximately trapezoidal, with a relatively flat curve segment in the middle, and some of them are lower than the dividing value. Class II muscle fibers make intermittent large force, and the change curves of their electromyographic values ​​and pressure values ​​are approximately multiple discontinuous peaks, and some of them are higher than the dividing value. Therefore, by obtaining the test data of the subject in one test cycle, the Class I muscle test segment and the Class II muscle test segment can be obtained respectively.

[0072] S02, preset demarcation value , obtaining a first reference image of a type I muscle fiber of the pelvic floor muscle and a second reference image of a type II muscle fiber of the pelvic floor muscle, and constructing a type I muscle test curve and a type II muscle test curve based on the type I muscle fiber test segment and the type II muscle fiber test segment, respectively;

[0073] Specifically, the first reference image and the second reference image can refer to the internationally accepted pelvic floor muscle strength grading test method, combining the characteristics of the first-class muscle that is not easy to fatigue and has a long endurance, and the second-class muscle that has a strong contraction force and contracts quickly, with the maximum contraction pressure / electromyographic value of the vagina as the highest value of the vertical coordinate, and combined with the set dividing value , the first reference image and the second reference image can be constructed respectively, such as Figure 3 and Figure 5 As shown, the first reference image is in a trapezoidal shape, and the second reference image is in a plurality of discontinuously distributed triangles. The reference images serve as references for grading pelvic floor muscle strength.

[0074] Based on the first-class muscle test segment and the second-class muscle test segment, the first-class muscle test curve is fused with the first reference image obtained above, and the first-class muscle test curve and the second-class muscle test curve can be constructed respectively, so as to obtain the following: Figure 2 The test image shown in the figure, specifically, takes the test time as the horizontal axis and the evaluation index in the muscle test segment, such as the pressure value The percentage obtained by dividing the maximum pressure value in the first reference image is used as the ordinate to construct a plane rectangular coordinate system. The connecting line formed is the type I muscle test curve. The type II muscle test curve can be obtained in the same way. Figure 4 Test image shown.

[0075] S03, combining the first reference image and the first muscle test curve, performing a first muscle strength classification and / or a first muscle fatigue calculation; combining the second reference image and the second muscle test curve, performing a second muscle strength classification and / or a second muscle fatigue calculation;

[0076] The muscle strength classification of a type of muscle includes: obtaining the contraction area of ​​the test curve of the type of muscle as the first test area Specifically, the contraction area of ​​a muscle test curve is as follows: Figure 2 The area of ​​the blue oblique line distribution area is the area enclosed by the muscle test curve and the horizontal axis. This area is recorded as the first test area. .

[0077] Acquiring the first reference image does not exceed the threshold value The area of ​​the part is recorded as the first reference area , specifically, Figure 3 As shown, the portion of the first reference image below the demarcation value is taken as the first reference area, which can be approximately expressed as Figure 3 The area of ​​the middle green oblique line distribution area.

[0078] According to the first test area With the first reference area The first ratio Obtain the muscle strength classification of the first type of muscle test curve.

[0079] The second-class muscle strength classification includes: obtaining the second-class muscle test curve exceeding the cutoff value The area of ​​the part is recorded as the second test area , specifically, Figure 4 As shown, the area of ​​the part exceeding the cut-off value in the second-class muscle test curve is taken as the second test area ,Right now Figure 4 The area of ​​the blue diagonal line distribution region.

[0080] Acquiring the second reference image exceeds the threshold value The area of ​​the part is recorded as the second reference area , specifically, Figure 5 As shown, take the area of ​​the part exceeding the demarcation value in the second reference image, that is, the area of ​​the upper part of the triangle, that is, Figure 5 The area of ​​the green oblique line distribution area is used as the second reference area .

[0081] According to the second test area With the second reference area The second ratio Obtain the muscle strength classification of the two types of muscle test curves.

[0082] The present application constructs a reference image and a test curve based on the test data of the pelvic floor muscles, combines the force characteristics of Class I muscle fibers and Class II muscle fibers, and sets a cutoff value. The Class I muscle strength is graded by the ratio of the contraction area of ​​the Class I muscle test curve to the area of ​​the first reference image that does not exceed the cutoff value. The Class II muscle strength is graded by the ratio of the area of ​​the Class II muscle test curve that exceeds the cutoff value to the area of ​​the second reference image that exceeds the cutoff value. In this way, the muscle strength grade of Class I muscle fibers and Class II muscle fibers can be automatically calculated, and fatigue calculation can be performed based on the reference image and the test curve. No manual observation or judgment is required, and the pelvic floor muscle data can be accurately and quickly graded for muscle strength and calculated for fatigue, thereby reducing human subjective influence, and helping to improve the accuracy and efficiency of pelvic floor muscle test data evaluation.

[0083] In order to further improve the accuracy of the second-class muscle strength classification, in this embodiment, the second-class muscle strength classification is further limited by combining the work characteristics of the first-class muscle fibers and the second-class muscle fibers. Specifically, the preset electromyographic value The electromyographic threshold , for example 8μA, and the active contraction pressure value The systolic pressure threshold , for example, 12.3 cmH2O. Obtain the electromyographic value of the second type muscle fiber test segment The maximum value of , which is the highest point of the second-class muscle test curve, the pressure value Maximum shrinkage value , maximum shrinkage value Specifically, it is the maximum pressure value minus the minimum pressure value in the Class II muscle test curve. When the evaluation index is the electromyographic value, it must meet , when the evaluation index is pressure value, it must meet , when the evaluation index includes both electromyographic value and pressure value, it is necessary to satisfy both , In addition, since the part below the cutoff value of the test curve is mostly the work of the first type of muscle fibers, it is an irrelevant item and should be eliminated. Therefore, the second type muscle test curve must also meet the requirement that at least one point in the second type muscle test curve exceeds the cutoff value. When the above two conditions are met, the aforementioned muscle strength grading judgment is performed. If not, the second-class muscle strength grading result is output as level 0.

[0084] Further, in this embodiment, in the muscle strength classification of a class of muscles, the test curve of a class of muscles is decomposed into Consecutive data points , convert the first reference image into an approximate trapezoidal image, and calculate the first test area according to the following formula With the first reference area The first ratio :

[0085] ;

[0086] in, Indicates the sequence number of the data point, , Indicates the serial number is The vertical coordinate corresponding to the data point is represents the test duration of the muscle test curve of the type, and Respectively represent the upper and lower widths of the trapezoidal image, represents the height of the trapezoidal image, and Equal to the cut-off value ;

[0087] For example, decomposing a muscle test curve into 400 consecutive data points The upper and lower widths of the trapezoidal image are 7.2 and 8.7 respectively. The test duration is 12s. The cutoff value is is 50%, then we have the first ratio :

[0088] % .

[0089] According to the calculated first ratio To classify muscle strength:

[0090] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 0,

[0091] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 1,

[0092] If the first ratio , then the output of the muscle strength classification result of the first type is level 2,

[0093] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 3,

[0094] If the first ratio , then the output of the muscle strength classification result of the above-mentioned type is level 4,

[0095] If the first ratio , then the output of the muscle strength grading result of the above-mentioned type of muscle is level 5.

[0096] Through this embodiment, the first ratio can be accurately calculated, and the muscle strength of a type of muscle can be accurately classified.

[0097] Furthermore, in this embodiment, the calculation of a type of muscle fatigue in step S03 includes:

[0098] The first peak point exceeding the screening threshold, for example, 40%, in the starting segment of the muscle test curve of the first type is selected as the first calculation point. , select the first calculation point Another peak point after a certain period of time is recorded as the second calculation point , respectively obtain the first calculation point The corresponding first time point , and the second calculation point The corresponding second time point ;

[0099] If the evaluation index includes vaginal electromyography , then the fatigue degree of the muscle test curve is calculated according to the following formula: :

[0100] ;

[0101] in, The first calculation point The corresponding electromyographic value, The second calculation point The corresponding electromyographic value;

[0102] If the evaluation index includes vaginal pressure value , then the fatigue degree of the muscle test curve is calculated according to the following formula: :

[0103] ;

[0104] in, The first calculation point The corresponding pressure value, The second calculation point The corresponding pressure value.

[0105] For example, if the test duration is 12 seconds, according to the steps of the contraction test, the first peak point exceeding 40% within the first 2.4 seconds is taken as the first calculation point , and take the point 6s after this point as the second calculation point , respectively obtain the first calculation point and the second calculation point Corresponding time points and evaluation indicators are used to calculate the slope and then characterize the fatigue degree of a type of muscle fiber.

[0106] Through this embodiment, the fatigue degree of a type of muscle fiber can be accurately calculated without the need for manual subjective judgment.

[0107] Furthermore, in this embodiment, in the second type of muscle strength classification, the test period of the second type of muscle test curve is divided into continuous data intervals, each with continuous data points, and obtain the maximum reference electromyographic value of the second reference image. , minimum baseline EMG value , Maximum reference pressure value and minimum reference pressure value , calculate the second test area in each data interval according to the following formula With the second reference area Ratio :

[0108] ;

[0109] ;

[0110] in, Indicates the sequence number of the first data point in the data interval. Indicates the sequence number of the data point, , Indicates that the second reference image exceeds the threshold The length of the bottom side of the part, Indicates the time length of each data interval, Indicates that the second reference image exceeds the threshold Height of the part;

[0111] For example, if the test duration is 15 seconds, 15 seconds is divided into 5 data intervals, namely 1-3 seconds, 4-6 seconds, 7-9 seconds, 10-12 seconds, and 12-15 seconds. The length of each data interval is 3 seconds. The second reference image exceeds the demarcation value. The length of the bottom side of the part is 0.8, each data interval has 80 consecutive data points, a total of 400 data points, then there is a second test area in each data interval With the second reference area Ratio :

[0112] ;

[0113] The second test area in each data interval is obtained With the second reference area Ratio The sum is added and the average is obtained, and the average is the second ratio. ;

[0114] For example, there are 5 data intervals in total, and the ratios are , , , , , then:

[0115] Second ratio .

[0116] In the two categories of muscle strength classification:

[0117] If the second ratio , then the output of the second type of muscle strength classification result is level 1,

[0118] If the second ratio , then the output of the second type of muscle strength classification result is level 2,

[0119] If the second ratio , then the output of the second type of muscle strength classification result is level 3,

[0120] If the second ratio , then the output of the second type of muscle strength classification result is level 4,

[0121] If the second ratio , then the output of the second type of muscle strength grading result is level 5.

[0122] Through the steps of this embodiment, the second ratio can be accurately calculated, and then the muscle strength of the two types of muscles can be graded.

[0123] Furthermore, in this embodiment, the calculation of the second type of muscle fatigue in step S03 includes:

[0124] The first peak point of the second type muscle test curve is selected as the third calculation point , the last peak point is recorded as the fourth calculation point , respectively obtain the third calculation point The corresponding third time point , and the fourth calculation point The corresponding fourth time point ;

[0125] If the evaluation index includes vaginal electromyography , then the fatigue degree of the second type muscle test curve is calculated according to the following formula :

[0126] ;

[0127] in, represents the third calculation point The corresponding electromyographic value, represents the fourth calculation point The corresponding electromyographic value;

[0128] If the evaluation index includes vaginal pressure value , then the fatigue degree of the muscle test curve is calculated according to the following formula: :

[0129] ;

[0130] in, represents the third calculation point The corresponding pressure value, represents the fourth calculation point The corresponding pressure value.

[0131] For example, if the Class II muscle test curve includes 5 peaks, the first peak point and the fifth peak point are taken as the third calculation point. and the fourth calculation point The calculated slope is used to further characterize the fatigue degree of type II muscle fibers.

[0132] Through this embodiment, the fatigue degree of the second type of muscle fibers can be accurately calculated without manual subjective judgment.

[0133] This embodiment also provides a pelvic floor muscle test data evaluation system, which is characterized by comprising:

[0134] An input module is used to obtain test data of the pelvic floor muscles in a test cycle, wherein the test data includes evaluation indicators with time series information, and the evaluation indicators include the myoelectric value of the vagina and / or vaginal pressure , the test data has a type I muscle fiber test segment and a type II muscle fiber test segment;

[0135] Curve building module, which is used to preset cutoff values , obtaining a first reference image of a type I muscle fiber of the pelvic floor muscle and a second reference image of a type II muscle fiber of the pelvic floor muscle, and constructing a type I muscle test curve and a type II muscle test curve based on the type I muscle fiber test segment and the type II muscle fiber test segment in combination with the first reference image and the second reference image;

[0136] A calculation module, which is used to perform a muscle strength classification of a class of muscles and / or a fatigue calculation of a class of muscles in combination with the first reference image and a class of muscle test curve; and to perform a muscle strength classification of a class of muscles and / or a fatigue calculation of a class of muscles in combination with the second reference image and a class of muscle test curve;

[0137] The muscle strength classification of a type of muscle includes: obtaining the contraction area of ​​the test curve of the type of muscle as the first test area , obtaining the first reference image does not exceed the demarcation value The area of ​​the part is recorded as the first reference area , according to the first test area With the first reference area The first ratio Obtaining the muscle strength classification of the first type of muscle test curve;

[0138] The second-class muscle strength classification includes: obtaining the second-class muscle test curve exceeding the cutoff value The area of ​​the part is recorded as the second test area , obtaining the second reference image exceeds the threshold value The area of ​​the part is recorded as the second reference area , according to the second test area With the second reference area The second ratio Obtain the muscle strength classification of the two types of muscle test curves.

[0139] The pelvic floor muscle test data evaluation system of this embodiment and the above-mentioned pelvic floor muscle test data evaluation method belong to the same inventive concept, which can be understood with reference to the above description and will not be repeated here.

[0140] The pelvic floor muscle test data evaluation system of this embodiment can accurately and quickly perform muscle strength classification and fatigue calculation on pelvic floor muscle data, reduce human subjective influence, and help improve the accuracy and efficiency of pelvic floor muscle test data evaluation.

[0141] like Figure 6As shown, this embodiment also provides a computer device, including a processor 101 and a memory 102 connected by bus signals, wherein the memory 102 stores at least one instruction or at least one program, and the at least one instruction or at least one program is executed by the processor 101 when loaded to perform the pelvic floor muscle test data evaluation method as described above. The memory 102 can be used to store software programs and modules, and the processor 101 executes various functional applications by running the software programs and modules stored in the memory 102. The memory 102 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs required for functions, etc.; the data storage area can store data created according to the use of the device, etc. In addition, the memory 102 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 102 can also include a memory controller to provide the processor 101 with access to the memory 102.

[0142] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal, a server or a similar computing device, that is, the above-mentioned computer device can include a computer terminal, a server or a similar computing device. The internal structure of the computer device may include but is not limited to: a processor, a network interface and a memory. Among them, the processor, network interface and memory in the computer device can be connected via a bus or other means.

[0143] Among them, the processor 101 (or CPU (Central Processing Unit)) is the computing core and control core of the computer device. The network interface may optionally include a standard wired interface, a wireless interface (such as WI-FI, a mobile communication interface, etc.). The memory 102 (Memory) is a memory device in the computer device for storing programs and data. It can be understood that the memory 102 here can be a high-speed RAM storage device, or a non-volatile storage device (non-volatile memory), such as at least one disk storage device; optionally, it can also be at least one storage device located away from the aforementioned processor 101. The memory 102 provides a storage space, which stores the operating system of the electronic device, which may include but is not limited to: Windows system (an operating system), Linux (an operating system), Android (Android, a mobile operating system) system, IOS (a mobile operating system) system, etc., and this application does not limit this; and, in the storage space, one or more instructions suitable for being loaded and executed by the processor 101 are also stored, and these instructions can be one or more computer programs (including program codes). In the embodiment of the present specification, the processor 101 loads and executes one or more instructions stored in the memory 102 to implement the pelvic floor muscle test data evaluation method described in the above method embodiment.

[0144] The embodiment of the present application also provides a computer-readable storage medium, on which at least one instruction or at least one program is stored, and when the at least one instruction or the at least one program is loaded by the processor 101, the pelvic floor muscle test data evaluation method described above is executed. The above-mentioned computer-readable storage medium carries one or more programs, and when the above-mentioned one or more programs are executed, the method according to the embodiment of the present application is implemented.

[0145] According to an embodiment of the present application, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include, but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0146] For those skilled in the art, various other corresponding changes and deformations can be made according to the technical solutions and concepts described above, and all of these changes and deformations should fall within the protection scope of the claims of this application.

Claims

1. A pelvic floor muscle test data evaluation method, characterized in that: The following steps are involved: S01, obtaining test data of the pelvic floor muscles in a test cycle, wherein the test data includes evaluation indicators with time series information, and the evaluation indicators include the myoelectric value of the vagina and / or pressure value , the test data has a type I muscle fiber test segment and a type II muscle fiber test segment; S02, preset demarcation value , obtain a first reference image of a type I muscle fiber of the pelvic floor muscle and a second reference image of a type II muscle fiber of the pelvic floor muscle, and construct a type I muscle test curve and a type II muscle test curve based on the type I muscle fiber test segment and the type II muscle fiber test segment, respectively; wherein, taking the test time as the horizontal coordinate, taking the percentage obtained by dividing the evaluation index in the type I muscle fiber test segment by the maximum value of the evaluation index in the first reference image as the vertical coordinate, constructing a plane rectangular coordinate system, and the formed line is the type I muscle test curve; taking the test time as the horizontal coordinate, taking the percentage obtained by dividing the evaluation index in the type II muscle fiber test segment by the maximum value of the evaluation index in the second reference image as the vertical coordinate, constructing a plane rectangular coordinate system, and the formed line is the type II muscle test curve; S03, combining the first reference image and the first muscle test curve, performing a first muscle strength classification and / or a first muscle fatigue calculation; combining the second reference image and the second muscle test curve, performing a second muscle strength classification and / or a second muscle fatigue calculation; The muscle strength classification of a type of muscle includes: obtaining the contraction area of ​​the test curve of the type of muscle as the first test area , obtaining the first reference image does not exceed the demarcation value The area of ​​the part is recorded as the first reference area , according to the first test area With the first reference area The first ratio Obtaining the muscle strength classification of the first type of muscle test curve; The second-class muscle strength classification includes: obtaining the second-class muscle test curve exceeding the cutoff value The area of ​​the part is recorded as the second test area , obtaining the second reference image exceeds the threshold value The area of ​​the part is recorded as the second reference area , according to the second test area With the second reference area The second ratio Obtaining the muscle strength classification of the second type muscle test curve; In the muscle strength classification of the first type of muscle, the muscle test curve of the first type of muscle is decomposed into Consecutive data points , convert the first reference image into an approximate trapezoidal image, and calculate the first test area according to the following formula With the first reference area The first ratio : ； in, Indicates the sequence number of the data point, , Indicates the serial number is The vertical coordinate corresponding to the data point is represents the test duration of the muscle test curve of the type, and Respectively represent the upper and lower widths of the trapezoidal image, represents the height of the trapezoidal image, and Equal to the cut-off value ; In the above mentioned muscle strength classification: If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 0, If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 1, If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 2, If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 3, If the first ratio , then the output of the muscle strength classification result of the above-mentioned type is level 4, If the first ratio , then the output of the muscle strength grading result of the above-mentioned type of muscle is level 5.

2. The pelvic floor muscle test data evaluation method according to claim 1, characterized in that: Before the second type of muscle strength classification, it also includes: Preset about EMG value The electromyographic threshold , and about the active contraction pressure value The systolic pressure threshold , obtain the electromyographic value of the second type of muscle fiber test segment The maximum value of , and pressure values Maximum shrinkage value , if satisfied , , and at least one point in the Class II muscle test curve exceeds the cut-off value , then the second-class muscle strength classification is performed, if it is not satisfied, the second-class muscle strength classification result is output as level 0.

3. The pelvic floor muscle test data evaluation method according to claim 1, characterized in that: The first type of muscle fatigue calculation includes: The first peak point exceeding the screening threshold in the initial segment of the muscle test curve of the first type is selected as the first calculation point , select the first calculation point Another point after a certain period of time is recorded as the second calculation point , respectively obtain the first calculation point The corresponding first time point , and the second calculation point The corresponding second time point ; If the evaluation index includes vaginal electromyography , then the fatigue degree of the muscle test curve is calculated according to the following formula: : ； in, The first calculation point The corresponding electromyographic value, The second calculation point The corresponding electromyographic value; If the evaluation index includes vaginal pressure value , then the fatigue degree of the muscle test curve is calculated according to the following formula: : ； in, The first calculation point The corresponding pressure value, The second calculation point The corresponding pressure value.

4. The pelvic floor muscle test data evaluation method according to claim 1 or 2, characterized in that: In the two-type muscle strength classification, the test period of the two-type muscle test curve is divided into continuous data intervals, each with continuous data points, and obtain the maximum reference electromyographic value of the second reference image. , minimum baseline EMG value , Maximum reference pressure value and minimum reference pressure value , calculate the second test area in each data interval according to the following formula With the second reference area Ratio : ； ； in, Indicates the sequence number of the first data point in the data interval. Indicates the sequence number of the data point, , Indicates the serial number is The EMG value corresponding to the data point is Indicates the serial number is The pressure value corresponding to the data point is Indicates that the second reference image exceeds the threshold The length of the bottom side of the part, Indicates the time length of each data interval, Indicates that the second reference image exceeds the threshold Height of the part; The second test area in each data interval is obtained With the second reference area Ratio The sum is added and the average is calculated, and the average is the second ratio. ; In the two categories of muscle strength classification: If the second ratio , then the output of the second type of muscle strength classification result is level 1, If the second ratio , then the output of the second type of muscle strength classification result is level 2, If the second ratio , then the output of the second type of muscle strength classification result is level 3, If the second ratio , then the output of the second type of muscle strength classification result is level 4, If the second ratio , then the output of the second type of muscle strength grading result is level 5.

5. The pelvic floor muscle test data evaluation method according to claim 1, characterized in that: The second type of muscle fatigue calculation includes: The first peak point of the second type muscle test curve is selected as the third calculation point , the last peak point is recorded as the fourth calculation point , respectively obtain the third calculation point The corresponding third time point , and the fourth calculation point The corresponding fourth time point ; If the evaluation index includes vaginal electromyography , then the fatigue degree of the second type muscle test curve is calculated according to the following formula : ； in, represents the third calculation point The corresponding electromyographic value, represents the fourth calculation point The corresponding electromyographic value; If the evaluation index includes vaginal pressure value , then the fatigue degree of the muscle test curve is calculated according to the following formula: : ； in, represents the third calculation point The corresponding pressure value, represents the fourth calculation point The corresponding pressure value.

6. The pelvic floor muscle test data evaluation method according to claim 1, characterized in that: The cut-off value is 50%.

7. A pelvic floor muscle test data evaluation system, characterized in that: include: An input module is used to obtain test data of the pelvic floor muscles in a test cycle, wherein the test data includes evaluation indicators with time series information, and the evaluation indicators include the myoelectric value of the vagina and / or vaginal pressure , the test data has a type I muscle fiber test segment and a type II muscle fiber test segment; Curve building module, which is used to preset cutoff values , obtain a first reference image about a type I muscle fiber of the pelvic floor muscle, and a second reference image about a type II muscle fiber of the pelvic floor muscle, and based on the type I muscle fiber test segment and the type II muscle fiber test segment, in combination with the first reference image and the second reference image, respectively construct a type I muscle test curve and a type II muscle test curve; wherein, taking the test time as the horizontal coordinate, taking the percentage obtained by dividing the evaluation index in the type I muscle fiber test segment by the maximum value of the evaluation index in the first reference image as the vertical coordinate, constructing a plane rectangular coordinate system, and the formed line is the type I muscle test curve; taking the test time as the horizontal coordinate, taking the percentage obtained by dividing the evaluation index in the type II muscle fiber test segment by the maximum value of the evaluation index in the second reference image as the vertical coordinate, constructing a plane rectangular coordinate system, and the formed line is the type II muscle test curve; a calculation module, which is used to perform a muscle strength classification of a class of muscles and / or a fatigue calculation of a class of muscles in combination with the first reference image and a class of muscle test curve; and to perform a muscle strength classification of a class of muscles and / or a fatigue calculation of a class of muscles in combination with the second reference image and a class of muscle test curve; The muscle strength classification of a type of muscle includes: obtaining the contraction area of ​​the test curve of the type of muscle as the first test area , obtaining the first reference image does not exceed the demarcation value The area of ​​the part is recorded as the first reference area , according to the first test area With the first reference area The first ratio Obtaining the muscle strength classification of the first type of muscle test curve; The second-class muscle strength classification includes: obtaining the second-class muscle test curve exceeding the cutoff value The area of ​​the part is recorded as the second test area , obtaining the second reference image exceeds the threshold value The area of ​​the part is recorded as the second reference area , according to the second test area With the second reference area The second ratio Obtaining the muscle strength classification of the second type muscle test curve; In the muscle strength classification of the first type of muscle, the muscle test curve of the first type of muscle is decomposed into Consecutive data points , convert the first reference image into an approximate trapezoidal image, and calculate the first test area according to the following formula With the first reference area The first ratio : ； in, Indicates the sequence number of the data point, , Indicates the serial number is The vertical coordinate corresponding to the data point is represents the test duration of the muscle test curve of the type, and Respectively represent the upper and lower widths of the trapezoidal image, represents the height of the trapezoidal image, and Equal to the cut-off value ; In the above mentioned muscle strength classification: If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 0, If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 1, If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 2, If the first ratio , then the output of the muscle strength classification result of the above-mentioned type of muscle is level 3, If the first ratio , then the output of the muscle strength classification result of the above-mentioned type is level 4, If the first ratio , then the output of the muscle strength grading result of the above-mentioned type of muscle is level 5.

8. A computer device comprising a processor and a memory connected by signals, characterized in that: The memory stores at least one instruction or at least one program, and when the at least one instruction or the at least one program is loaded by the processor, the pelvic floor muscle test data evaluation method as described in any one of claims 1-6 is executed.

9. A computer-readable storage medium having at least one instruction or at least one program stored thereon, characterized in that: When the at least one instruction or the at least one program is loaded by the processor, the pelvic floor muscle test data evaluation method as described in any one of claims 1-6 is executed.

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