CN113729740B - Pelvic floor muscle group function accurate diagnosis and analysis method based on high-density air bag electrode - Google Patents
Pelvic floor muscle group function accurate diagnosis and analysis method based on high-density air bag electrode Download PDFInfo
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Abstract
The invention discloses a pelvic floor muscle group function accurate diagnosis and analysis method based on a high-density air bag electrode, which comprises the following steps: dividing testers into a plurality of groups according to the evaluation target class, collecting the average air pressure in the air bag electrode of each group of testers in the fixed-time constant-force continuous-contraction state of the pelvic floor muscle by adopting a high-density air bag electrode system, and determining the target air pressure value of each group according to the average air pressure; adopting a high-density air bag electrode system to acquire surface electromyographic signals and air pressure data of a single pelvic floor muscle corresponding to each channel when the pelvic floor muscle of a current tester is kept continuously contracted within a fixed time length of a target air pressure value; evaluating the stability, fatigue and cooperativity of the single pelvic floor muscle corresponding to each channel according to the surface electromyographic signals and the air pressure data; and performing weighted evaluation on the pelvic floor muscle function characteristic score of the current tester in three aspects of pelvic floor muscle function, evaluation characteristic and individual condition related to the evaluation target class to realize comprehensive evaluation on the pelvic floor muscle function characteristic.
Description
Technical Field
The invention belongs to the technical field of medical equipment, and particularly relates to a pelvic floor muscle group function accurate diagnosis and analysis method based on a high-density air bag electrode.
Background
With the aging trend of population, the number of people with pelvic floor dysfunction disease is increasing year by year, and the influence of diseases such as urinary incontinence on the quality of life is stronger than that of diabetes, arthritis and even cancer. Injury to the female pelvic floor muscles is one of the major causes of pelvic floor dysfunctional disease. To date, surface electromyographic assessment of muscle function has been considered a major technique for the prevention and treatment of pelvic floor dysfunctional diseases.
The female pelvic floor muscle group has complex muscle composition, inconsistent functional states of each muscle and complex anatomical structure. Due to the complex anatomical structure of the pelvic floor muscle, the current surface myoelectric assessment method for the pelvic floor muscle is a Glazer assessment method which adopts a hard dual-channel electrode, and the Glazer assessment method is simple but has defects, so that the muscle function state of the pelvic floor muscle of a tester is inconsistent in a plurality of research reports.
In clinical application, the currently adopted muscle function assessment method of the pelvic floor muscle has the following defects:
(1) Is too much affected by the individual. For example, the Glazer evaluation method requires the tester to have the maximum ability to contract the muscles during the test process, in this case, whether the tester can make the standard contraction action has a great influence on the final result, and in many cases, the tester can borrow force from other parts such as the abdomen and the hip to achieve the maximum individual contraction force, which causes the accuracy of the evaluation result to be reduced.
(2) The evaluation parameter is fuzzy, one characteristic of the pelvic floor muscle can be simply evaluated only through time-domain parameters, most methods are used for evaluating muscle strength through myoelectric amplitude, and few methods are used for evaluating muscle tension, so that the stability, coordination, fatigue and other parameters which are as important as disease diagnosis are not explored by people.
(3) The dual-channel electrode can only evaluate the overall state of the pelvic floor muscle and cannot excavate the synergistic effect of each part of the pelvic floor muscle, so that the problem of pelvic floor dysfunction diseases cannot be solved from the pathological perspective.
(4) Only the existing condition can be evaluated, no prevention guidance function exists, and guidance opinions of subsequent disease prevention can not be given according to the evaluation result.
Based on the above defects of the existing pelvic floor muscle function evaluation method, it is very necessary to design a pelvic floor muscle characteristic evaluation method which has comprehensive, accurate and prospective properties, so as to solve the above defects.
Disclosure of Invention
In view of the above, the present invention provides a method for accurately diagnosing and analyzing functions of pelvic floor muscle groups based on high-density balloon electrodes, which can provide comprehensive evaluation of functional characteristics of pelvic floor muscles for different diseases and different groups of people, and provide subsequent instructive evaluation.
In order to achieve the purpose of the invention, the invention provides the following technical scheme:
the embodiment provides a pelvic floor muscle group function accurate diagnosis and analysis method based on a high-density air bag electrode, which comprises the following steps:
dividing testers into a plurality of groups according to the evaluation target class, collecting the average air pressure in the air bag electrode of each group of testers in the full-force continuous contraction state of the pelvic floor muscles within a fixed time length by adopting a high-density air bag electrode system, and determining the target air pressure value of each group according to the average air pressure corresponding to each group of testers;
adopting a high-density air bag electrode system to acquire surface electromyographic signals and air pressure data of a single pelvic floor muscle corresponding to each channel when the pelvic floor muscle of a current tester is kept continuously contracted within a fixed time length of a target air pressure value;
evaluating the stability and fatigue of a single pelvic floor muscle corresponding to each channel according to the surface electromyographic signals and the air pressure data, and evaluating the cooperativity of the pelvic floor muscles corresponding to each channel according to the evaluation results of the stability and fatigue;
and (3) carrying out weighted evaluation on the pelvic floor muscle function characteristic score of the current tester by integrating three aspects of pelvic floor muscle function, evaluation characteristics and individual condition related to the evaluation target class, wherein the evaluation characteristics comprise stability, fatigue and cooperativity of a single pelvic floor muscle.
In one embodiment, the determining the target air pressure value of each group according to the average air pressure corresponding to each group of testers includes:
calculating the average value of the average air pressure corresponding to each group of testers, and performing weighted adjustment on the average value according to a preset illumination adjustment coefficient to obtain a target air pressure value of each group; preferably, the value range of the adjusting coefficient is 0.5-0.8.
In one embodiment, the collected surface electromyographic signals are subjected to filtering processing, and the filtered surface electromyographic signals are used for evaluating and calculating the stability and fatigue of the single pelvic floor muscle.
In one embodiment, when stability evaluation is carried out on a single pelvic floor muscle corresponding to each channel, stability evaluation parameters are determined according to the surface electromyographic signals and the air pressure data, wherein the stability evaluation parameters comprise the electromyographic signal variability of the front resting state, the electromyographic signal variability of the back resting state, the variability ratio of the front resting state to the back resting state, the electromyographic signal variability of the contraction state, the air pressure variability and the air pressure area.
In one embodiment, when fatigue evaluation of a single pelvic floor muscle corresponding to each channel is performed, fatigue evaluation parameters are determined according to surface electromyographic signals and air pressure data, wherein the fatigue evaluation parameters comprise ratios of parameters in time periods before and after contraction, and the parameters comprise electromyographic signal amplitude, electromyographic signal median frequency, electromyographic signal variability, air pressure values and air pressure variability.
In one embodiment, the parameter ratio before and after contraction is defined as the ratio of the parameter X seconds before the end of contraction to the parameter X seconds after the start of contraction; preferably, X ranges from 1 to 10 seconds.
In one embodiment, the evaluation of the cooperativity of the pelvic floor muscles corresponding to each channel according to the evaluation results of the stability and the fatigue includes:
screening at least 1 parameter related to an evaluation target class from all stability evaluation parameters and all fatigue evaluation parameters included in the stability evaluation result and the fatigue evaluation result, drawing and screening thermodynamic diagrams of the parameters distributed in each single pelvic floor muscle, and screening at least 1 abnormal single pelvic floor muscle according to the thermodynamic diagrams;
and calculating the correlation of the abnormal single pelvic floor muscle and other single pelvic floor muscles with respect to the surface electromyographic signals as a cooperative evaluation parameter to evaluate the cooperative performance of the abnormal single pelvic floor muscle and other single pelvic floor muscles.
In one embodiment, the screening for at least 1 abnormal monobloc pelvic floor muscle according to thermodynamic diagrams includes: the health range corresponding to the parameter is represented by a single color, and the single pelvic floor muscles corresponding to the distribution areas deeper than the single color or lighter than the single color in the thermodynamic diagram are abnormal single pelvic floor muscles.
In one embodiment, the integrating weights the evaluation of the pelvic floor muscle function characteristic score of the current tester in terms of the pelvic floor muscle function, the evaluation characteristic, and the individual condition associated with the evaluation target class includes:
aiming at the aspect of pelvic floor muscle functions related to the evaluation target class, determining scores of single pelvic floor muscles for the single pelvic floor muscles related to each evaluation target class according to muscle myoelectricity amplitude of the single pelvic floor muscles and healthy muscle myoelectricity amplitude range, and performing weighted summation on all the scores of the single pelvic floor muscles related to the evaluation target class to obtain the pelvic floor muscle function scores related to the evaluation target class;
aiming at the aspect of evaluation characteristics, determining each evaluation parameter score according to each evaluation parameter value and the health evaluation parameter range, and carrying out weighted summation on all the evaluation parameter scores to obtain an evaluation characteristic score, wherein the evaluation parameters comprise a stability evaluation parameter, a fatigue evaluation parameter and a cooperativity evaluation parameter;
aiming at the aspect of individual conditions, the individual conditions comprise multi-class attributes related to the evaluation target class, and the scores of the attributes of each class are weighted and summed to obtain the scores of the individual conditions;
and (4) according to the score weights of various aspects preset by the evaluation target class, carrying out weighted summation on the pelvic floor muscle function score, the evaluation characteristic score and the individual condition score to obtain a final pelvic floor muscle function characteristic score.
In one embodiment, when the high-density air bag electrode system is adopted to collect surface electromyographic signals of a single pelvic floor muscle corresponding to each channel of a tester, the single pelvic floor muscle is selected to be divided into the left side and the right side, and the number of the single pelvic floor muscle is 4-10. The fixed time period is 50-70 seconds.
The method for accurately diagnosing and analyzing the functions of the pelvic floor muscle groups provided by the embodiment has the beneficial effects that at least:
(1) The reasonable target air pressure value determined by each group of average air pressure is used as the contraction guide of the pelvic floor muscles of the testers, so that the action standard is visually monitored, and the accuracy of the test result is improved.
(2) By adopting the multi-channel high-density air bag electrode system, surface electromyographic signals of the single pelvic floor muscles can be collected, and then the cooperativity among the single pelvic floor muscles is evaluated, and the cooperativity evaluation result can enable doctors to simply and clearly lock abnormal muscles, so that the pathological research on specific conditions is facilitated, the evaluation accuracy of the single pelvic floor muscles is improved, and the pathological research depth is improved.
(3) Stability evaluation parameters, fatigue evaluation parameters and coordination parameters are calculated through the collected time domain frequency domain surface electromyographic signals and the air pressure data, so that the stability, fatigue and coordination characteristics of the pelvic floor muscles are evaluated, the accuracy of specific pelvic floor muscle group research is improved, and the comprehensiveness of the pelvic floor muscle group evaluation is improved.
(4) The pelvic floor muscle function characteristic score of the current tester is evaluated by integrating three aspects of pelvic floor muscle function, evaluation characteristics and individual conditions related to the evaluation target class, guidance analysis can be performed on different diseases, and the timeliness of pelvic floor muscle evaluation is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method for accurately diagnosing and analyzing the functions of pelvic floor muscle groups based on high-density air bag electrodes according to an embodiment;
fig. 2 is a diagram of a target air pressure value, a real test air pressure value, and a corresponding myoelectric value in a data acquisition process according to an embodiment;
FIG. 3 is a schematic diagram of a thermodynamic diagram provided in accordance with an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the detailed description and specific examples, while indicating the scope of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
FIG. 1 is a flow chart of a method for accurately diagnosing and analyzing the functions of pelvic floor muscle groups based on high-density balloon electrodes according to an embodiment. As shown in fig. 1, the method for accurately diagnosing and analyzing the functions of the pelvic floor muscle group provided by the embodiment includes the following steps:
In the embodiment, the testers are divided into a plurality of groups according to the evaluation target class, the average air pressure in the air bag electrode in the constant-time pelvic floor muscle full-force continuous contraction state of each group of testers is collected by adopting a high-density air bag electrode system, and the target air pressure value of each group is determined according to the average air pressure corresponding to each group of testers.
The evaluation target class refers to a physical state of interest to be evaluated, and the physical state includes health, various diseases, such as stress urinary incontinence, pelvic organ prolapse and the like, for example, according to the evaluation target class, the testees can be divided into a healthy group with normal birth, a urinary incontinence group with normal birth, and a prolapse group with normal birth by evaluating factors such as the health condition, the fertility condition, and the historical diseases of the testees. The number of testers per group is equal, for example, 20 testers may be provided.
The high-density air bag electrode system can realize the multi-channel surface electromyogram signal acquisition function and the air pressure acquisition function, and in the embodiment, the adopted high-density air bag electrode system comprises an air bag-shaped electrode probe which is provided with a multi-channel acquisition channel and consists of a high-density electrode slice, an air pressure acquisition module and a data acquisition and preprocessing module. The air bag-shaped electrode probe is used for detecting surface electromyographic signals of the single pelvic floor muscle corresponding to each channel, the air pressure acquisition module is used for acquiring air pressure in the air bag, and the data acquisition and preprocessing module is used for collecting and preprocessing the surface electromyographic signals.
In the testing process, a tester is required to lie flat, meanwhile, a doctor conducts vaginal palpation to guide correct pelvic floor muscle contraction, after the guidance is finished, the air bag electrode probe is placed in the body of the tester in an uninflated state, the electrode plate is attached to the anterior superior iliac spine after the air bag electrode probe is inflated until the air bag electrode probe is fully attached, the tester is required to be in a full-force continuous contraction state of the pelvic floor muscle within a fixed time period, the average air pressure in the air bag electrode in the full-force continuous contraction state of the pelvic floor muscle within the fixed time period of the tester is recorded, and the average air pressure is used for calculating a target air pressure value. Among them, the fixed time period may preferably be 50 to 70 seconds, and further may preferably be 60 seconds.
After obtaining the average air pressure corresponding to each group of testers, the target air pressure value of each group can be determined according to the average air pressure corresponding to each group of testers, and the method specifically includes: calculating the average value of the average air pressure corresponding to each group of testers, and performing weighted adjustment on the average value according to a preset illumination adjustment coefficient to obtain a target air pressure value of each group; preferably, the value range of the adjusting coefficient is 0.5-0.8.
In order to solve the problem, in the embodiment, the pressure average value of the maximum contraction force is adjusted to be used as a target air pressure value for contraction guidance, so that the tester can maintain proper contraction force to acquire electromyographic signals and air pressure data, the standardization of the action is monitored visually, and the accuracy of the test result is improved. For example, if the adjustment coefficient is set to 0.5, 0.5 times of the average value of the average air pressure corresponding to each group of testers is used as the target air pressure value.
And 2, acquiring surface electromyographic signals and air pressure data of the single pelvic floor muscle corresponding to each channel of the current tester according to the target air pressure value of the group to which the current tester belongs.
In the embodiment, the group to which the current tester belongs is determined first, and then the target air pressure value corresponding to the group to which the tester belongs is used as the guidance data. In the test process, the current tester is required to lie on the back with the 45-degree hip and knee relaxed posture, the airbag electrode probe in an uninflated state is placed in the vagina of the tester, a pair of electrode plates are placed in the rectus abdominis region (one on the right side and the other on the left side) to monitor the crosstalk of abdominal muscle contraction, the safety airbag is filled with air, the air pressure inside the airbag electrode probe is monitored through the air pressure acquisition module until the tester feels that the airbag electrode probe is tightly attached to the muscle and the surface contact impedance evaluation result displayed by the acquisition and preprocessing module is normal, and then the standard operation is started for testing; the tester performs endurance test of continuous contraction within a continuous fixed time period, and the current tester needs to maintain the matching of the air pressure inside the air bag and the target air pressure value during the contraction as much as possible within the fixed time period, where the matching is understood as that the difference value between the air pressure inside the air bag and the target air pressure value is within the allowable pressure threshold range, and simultaneously records the target air pressure value, the real air pressure data and the surface electromyogram signal of each channel in the test process, as shown in fig. 2.
Because the main energy of the surface electromyogram signal is concentrated between 20 Hz and 400Hz, according to the Nyquist sampling theorem, when the sampling frequency fs is greater than 2 times of the highest frequency fmax in the signal (fs >2 fmax), the digital signal after sampling can completely retain all information of the original signal, and on the basis, the sampling frequency is preferably set to be 1000Samples/s; meanwhile, in order to eliminate power frequency interference, the collected surface electromyographic signals are subjected to filtering processing, and the surface electromyographic signals subjected to filtering processing are used for evaluating and calculating the stability and fatigue of the single pelvic floor muscle. Preferably, the power frequency interference of the frequency band of 50Hz and multiples thereof can be removed through a wave trap, and meanwhile, the electromyographic signals of the required wave band are extracted by using a 20-400Hz band-pass filter.
The fixed time period for maintaining the pelvic floor muscle contraction using the data in step 2 is equal to the fixed time period in step 1, that is, the fixed time period may preferably be 50 to 70 seconds, and further may preferably be 60 seconds.
And 3, evaluating the stability, fatigue and cooperativity of the single pelvic floor muscle corresponding to each channel according to the surface electromyographic signals and the air pressure data.
In the embodiment, the stability and fatigue of a single pelvic floor muscle corresponding to each channel are evaluated according to the surface electromyographic signals and the air pressure data, and the cooperativity of the pelvic floor muscles corresponding to each channel is evaluated according to the evaluation results of the stability and fatigue.
When the stability of the single pelvic floor muscle corresponding to each channel is evaluated, stability evaluation parameters are determined according to the surface electromyographic signals and the air pressure data, wherein the stability evaluation parameters comprise the variability of the front resting state electromyographic signals, the variability of the back resting state electromyographic signals, the ratio of the front resting state variability to the back resting state variability, the variability of the contraction state electromyographic signals, the air pressure variability and the air pressure area.
Wherein, the myoelectric signal variability of the pre-resting state myoelectric signal variability and the post-resting state myoelectric signal variability are subjected to the myoelectric signal variability of the contraction state
N is the total number of myoelectricity sampling points in the (resting) contraction process, x i The surface electromyogram signal amplitude of the ith sampling point is represented as mu, the average value of the electromyogram amplitude in the (resting) contraction process is represented as mu, and Mean is the electromyogram amplitude in the former resting state;
variability of anteroposterior resting state
PreCV is the electromyographic signal variability of the pre-resting state, and PostCV is the electromyographic signal variability of the post-resting state.
Variability of air pressure
M is the total sampling point number of the air pressure in the contraction process, yi is the air pressure value of the ith time sequence sampling point, beta is the average value of the air pressure in the contraction process, and Goal is the target air pressure value;
area of air pressure
When the fatigue degree of a single pelvic floor muscle corresponding to each channel is evaluated, fatigue degree evaluation parameters are determined according to surface electromyographic signals and air pressure data, wherein the fatigue degree evaluation parameters comprise ratios of parametric variables in time periods before and after contraction, and the parametric variables comprise electromyographic signal amplitude values, electromyographic signal median frequency, electromyographic signal variability, air pressure values and air pressure variability.
Wherein, the ratio of the parameters in the time period before and after contraction is defined as the ratio of the parameters in X seconds before the contraction is finished and the parameters in X seconds after the contraction is started; preferably, X ranges from 1 to 10 seconds, preferably 10 seconds.
Specifically, the ratio of the amplitude of the myoelectric signal in the period before and after contraction
EMGPost is the average value of myoelectricity amplitude value 1-10 seconds before the end of contraction, and EMGPre is the average value of myoelectricity amplitude value 1-10 seconds after the start of contraction; ratio of median frequency of myoelectric signals in time periods before and after contraction
MFpost is the electromyographic median frequency 1-10 seconds before the end of contraction, MDF is the electromyographic median frequency 1-10 seconds after the start of contraction, and the median frequency
Namely frequency points corresponding to half of the whole frequency domain area after the electromyographic data is subjected to Fourier transform; ratio of myoelectric signal variability in pre-and post-contraction time periods
CVpost is the mean value of the myoelectricity variability of 1-10 seconds before the end of contraction, and CVPre is the mean value of the myoelectricity variability of 1-10 seconds after the start of contraction; ratio of air pressure in time periods before and after contraction
APpost is the average value of air pressure 1-10 seconds before the end of contraction, and APPre is the average value of air pressure 1-10 seconds after the beginning of contraction; ratio of air pressure variability in time periods before and after contraction
APCVPost is the average value of the air pressure variability from 1 to 10 seconds before the end of contraction, and APCVPre is the average value of the air pressure variability from 1 to 10 seconds after the beginning of contraction.
After obtaining the evaluation results of stability and fatigue, the evaluation of the cooperativity of each channel corresponding to the pelvic floor muscles is carried out according to the evaluation results of stability and fatigue, and the evaluation method specifically comprises the following steps:
screening at least 1 parameter related to an evaluation target class from all stability evaluation parameters and all fatigue evaluation parameters included in the stability evaluation result and the fatigue evaluation result, drawing and screening thermodynamic diagrams of the parameters distributed in each single pelvic floor muscle, and screening at least 1 abnormal single pelvic floor muscle according to the thermodynamic diagrams; then, the correlation of the abnormal single pelvic floor muscle and other single pelvic floor muscles with respect to the surface electromyographic signals is calculated as a cooperativity evaluation parameter to evaluate the cooperativity of the abnormal single pelvic floor muscle and other single pelvic floor muscles.
In an embodiment, screening at least 1 abnormal monobloc pelvic floor muscle according to thermodynamic diagrams comprises: the health range corresponding to the parameters is represented by a single color, and the single pelvic floor muscles corresponding to the distribution areas deeper than the single color or lighter than the single color in the thermodynamic diagram are abnormal single pelvic floor muscles.
Fig. 3 is a thermodynamic diagram showing the distribution of certain parameters in each individual pelvic floor muscle, given by way of example. In an embodiment, the channels for collecting myoelectricity correspond to the individual pelvic floor muscles one to one, and 24 channels are provided in total, and the evaluated individual pelvic floor muscles include: a thermodynamic diagram drawn by a certain parameter corresponding to 24 channels is shown in fig. 3, for a single pelvic floor muscle corresponding to each channel, the confidence interval of each parameter value average value of a healthy population is calculated and defined as a healthy value range, and each parameter is compared with the healthy value range to obtain each parameter evaluation result. The parameter health value range is characterized as green, and the over-dark or over-light color represents that part of the pelvic floor muscle is
After the abnormal pelvic floor muscle is determined, the myoelectric signal amplitude is used for calculating the correlation coefficient between the myoelectric signal of the abnormal pelvic floor muscle and the myoelectric signals of other single pelvic floor muscles so as to evaluate different characteristic coordinations of the single pelvic floor muscles.
For example, if channel 1 is selected as the abnormal pelvic floor muscle, the single basins corresponding to the remaining 23 channels will be calculatedThe correlation coefficient between the bottom muscle and the abnormal pelvic floor muscle corresponding to the channel 1 is used for representing the correlation between the channels; specifically, the calculation formula of the correlation coefficient ρ is:
wherein X represents the electromyographic signal amplitude of the abnormal pelvic floor muscle to be researched, Y represents the electromyographic signal amplitude of the other pelvic floor muscle, and N represents the number of channels on the abnormal pelvic floor muscle; the rho value is larger than 0, which indicates that the abnormal pelvic floor muscle and a single pelvic floor muscle are in a cooperative relationship, and the numerical value is closer to 1, which indicates that the cooperative relationship is stronger; a p value less than 0 indicates an antagonistic relationship between the abnormal pelvic floor muscle and a single pelvic floor muscle, and a value closer to-1 indicates a stronger antagonistic relationship.
And 4, integrating the pelvic floor muscle function, the evaluation characteristics and the individual condition related to the evaluation target class to perform weighted evaluation on the pelvic floor muscle function characteristic score of the current tester.
In an embodiment, the assessment characteristics include stability, fatigue and cooperativity of individual pelvic floor muscles, and the corresponding assessment parameters are a stability assessment parameter, a fatigue assessment parameter and a cooperativity assessment parameter, respectively.
When evaluating the pelvic floor muscle function characteristic score of the current tester, aiming at the pelvic floor muscle function related to the evaluation target class, determining a single pelvic floor muscle score for each single pelvic floor muscle related to the evaluation target class according to the muscle myoelectricity amplitude of the single pelvic floor muscle and the myoelectricity amplitude range of healthy muscles, and carrying out weighted summation on all the single pelvic floor muscle scores related to the evaluation target class to obtain the pelvic floor muscle function score related to the evaluation target class. For example, the target group for stress incontinence is the involuntary leakage of urine from the external urethral orifice when abdominal pressure increases, such as sneezing or coughing. The symptoms are manifested as involuntary urine discharge when abdominal pressure increases, such as cough, sneeze, laughing, etc. For stress urinary incontinence, the related monoblock pelvic floor muscles comprise external anal sphincter and urethral sphincter, the healthy myoelectric amplitude interval of the external anal sphincter of a healthy person is 10 muV +/-1 muV, the myoelectric amplitude of the current tested person is 8 muV +/-1 muV, the external anal sphincter score is 80, the healthy myoelectric amplitude interval of the urethral sphincter of the healthy person is 10 muV +/-1 muV, the myoelectric amplitude of the current tested person is 5 muV +/-0.2 muV, the urethral sphincter score is 50, the external anal sphincter and the urethral sphincter are respectively set to have 50% in the pelvic floor muscle function score, and the pelvic floor muscle function score related to the target class is evaluated to be 80 x 50% + 50% =75.
And aiming at the aspect of evaluation characteristics, determining each evaluation parameter score according to each evaluation parameter value and the health evaluation parameter range, and performing weighted summation on all the evaluation parameter scores to obtain an evaluation characteristic score, wherein the evaluation parameters comprise a stability evaluation parameter, a fatigue evaluation parameter and a cooperativity evaluation parameter. Illustratively, if the disease stress incontinence is closely related to only the synergy, the synergy assessment parameter score is set to 100% in the assessment characteristics, and the characteristic assessment parameter score is set to 0. The score of the tester is 0.6, the harmony score is 75, and the evaluation characteristic score is 75 × 100% =75.
And aiming at the aspect of individual conditions, the individual conditions comprise multi-class attributes related to the evaluation target class, and the scores of the attributes of each class are weighted and summed to obtain the score of the individual conditions. Wherein the category attribute is an attribute related to the evaluation target class, and for diseases such as stress urinary incontinence, the category attribute includes age, birth times, and birth manner, and the score ratios of the three category attributes in individual situations are set to be 1/3, the score of the age below 25 is 100, the score of the age 25-40 is 80, the score of the age 40-60 is 60, the score of the age 60 and above is 40, and the score of the age is 80 if the current tester is 30; birth times 0 is 100 points, 1 is 80 points, 2 and above are 60 points, and the current tester birth times 1 is scored as 80 points; the birth mode is average birth of 60 minutes, the caesarean birth is 80 minutes, and the current tester is average birth, and the average birth is 60 minutes; then the individual condition is divided into 80/3+60/3=73.3.
And weighting and summing the pelvic floor muscle function score, the evaluation characteristic score and the individual condition score according to the score weights of all aspects preset by the evaluation target class to obtain a final pelvic floor muscle function characteristic score. Illustratively, setting the ratios of the pelvic muscle function score, the assessment characteristic score, and the individual case score to the pelvic muscle function characteristic score to be 25%, 50%, respectively, results in a pelvic muscle function characteristic score of 75 × 25% +73.3 × 50% =71.67.
The traditional evaluation method is a hard double-channel method, and only the state of the whole pelvic floor muscle can be evaluated. Different from the traditional evaluation method, the accurate diagnosis and analysis method for the functions of the pelvic floor muscles based on the high-density air bag electrodes, which is provided by the embodiment, adopts the multi-channel high-density air bag electrode system, can acquire surface electromyographic signals of single pelvic floor muscles, and further evaluates the cooperativity among the single pelvic floor muscles.
The traditional evaluation method adopts simple time domain parameters to evaluate the state of the pelvic floor muscles, and most evaluation methods focus on evaluating muscle strength, and is different from the traditional evaluation method in that the precise diagnosis and analysis method for the functions of the pelvic floor muscles based on the high-density air bag electrodes calculates stability evaluation parameters, fatigue evaluation parameters and coordination parameters through collected time domain frequency domain surface electromyographic signals and air pressure data, so that the stability, fatigue and coordination characteristics of the pelvic floor muscles are evaluated, the precision of research on specific pelvic floor muscle groups is improved, and the problem of facial evaluation of the pelvic floor muscles under the existing technical conditions is solved.
According to the accurate diagnosis and analysis method for the pelvic floor muscle group function based on the high-density air bag electrode, the pelvic floor muscle function characteristic score of the current tester is evaluated by integrating the three aspects of the pelvic floor muscle function, the evaluation characteristic and the individual condition related to the evaluation target class, guidance analysis can be performed on different diseases, and the problem that the pelvic floor muscle evaluation lacks timeliness under the prior art condition is solved.
The above-mentioned embodiments are intended to illustrate the technical solutions and advantages of the present invention, and it should be understood that the above-mentioned embodiments are only the most preferred embodiments of the present invention, and are not intended to limit the present invention, and any modifications, additions, equivalents, etc. made within the scope of the principles of the present invention should be included in the scope of the present invention.
Claims (8)
1. A pelvic floor muscle group function assessment method based on a high-density air bag electrode is characterized by being used for pathological research of pelvic floor muscle functions and comprising the following steps:
dividing testers into a plurality of groups according to the evaluation target class, collecting the average air pressure in the air bag electrode of each group of testers in the fixed-time constant-force and continuous-contraction state of pelvic floor muscles by adopting a high-density air bag electrode system, and determining the target air pressure value of each group according to the average air pressure corresponding to each group of testers;
adopting a high-density air bag electrode system to acquire surface electromyographic signals and air pressure data of a single pelvic floor muscle corresponding to each channel when the pelvic floor muscle of a current tester is kept continuously contracted within a fixed time length of a target air pressure value;
evaluating the stability and fatigue of the single pelvic floor muscle corresponding to each channel according to the surface electromyographic signals and the air pressure data, and determining stability evaluation parameters according to the surface electromyographic signals and the air pressure data when evaluating the stability of the single pelvic floor muscle corresponding to each channel, wherein the stability evaluation parameters comprise the variability of the electromyographic signals of the front resting state, the variability of the electromyographic signals of the back resting state, the ratio of the variability of the front resting state and the back resting state, the variability of the electromyographic signals of the contraction state, the air pressure variability and the air pressure area; when fatigue evaluation of a single pelvic floor muscle corresponding to each channel is carried out, fatigue evaluation parameters are determined according to surface electromyographic signals and air pressure data, wherein the fatigue evaluation parameters comprise ratios of parameters in time periods before and after contraction, and the parameters comprise electromyographic signal amplitude values, electromyographic signal median frequency, electromyographic signal variability, air pressure values and air pressure variability;
evaluating the cooperativity of the pelvic floor muscles corresponding to each channel according to the evaluation results of the stability and the fatigue;
and (3) carrying out weighted evaluation on the pelvic muscle function characteristic score of the current tester by integrating three aspects of the pelvic muscle function, the evaluation characteristic and the individual condition related to the evaluation target class, wherein the evaluation characteristic comprises the stability, the fatigue and the cooperativity of the single pelvic muscle.
2. The method for evaluating the function of pelvic floor muscle groups based on high-density air bag electrodes as claimed in claim 1, wherein the step of determining the target air pressure value of each group according to the average air pressure corresponding to each group of testers comprises:
and calculating the average value of the average air pressure corresponding to each group of testers, and performing weighted adjustment on the average value according to a preset adjustment coefficient to obtain the target air pressure value of each group.
3. The pelvic floor muscle group function assessment method based on the high-density air bag electrode as claimed in claim 2, wherein the adjustment coefficient ranges from 0.5 to 0.8.
4. The pelvic floor muscle group function assessment method based on the high-density air bag electrode according to claim 1, characterized in that the collected surface electromyographic signals are subjected to filtering processing, and the filtered surface electromyographic signals are used for assessing and calculating the stability and fatigue of a single pelvic floor muscle.
5. The method for pelvic floor muscle group function assessment based on high-density balloon electrodes according to claim 1, wherein the parameter ratio before and after contraction is defined as the ratio of the parameter X seconds before the end of contraction to the parameter X seconds after the start of contraction.
6. The pelvic floor muscle group function assessment method based on the high-density balloon electrode according to claim 5, wherein the value of X ranges from 1 to 10 seconds.
7. The pelvic floor muscle group function assessment method based on high-density balloon electrodes according to claim 1, wherein the weighted assessment of the pelvic floor muscle function characteristic score of the current subject, which is based on the integration of the pelvic floor muscle function, the assessment characteristics and the individual condition related to the assessment target class, comprises:
aiming at the pelvic floor muscle function related to the evaluation target class, determining a score of a single pelvic floor muscle for each single pelvic floor muscle related to the evaluation target class according to the muscle myoelectricity amplitude of the single pelvic floor muscle and the myoelectricity amplitude range of healthy muscles, and performing weighted summation on all the scores of the single pelvic floor muscles related to the evaluation target class to obtain a pelvic floor muscle function score related to the evaluation target class;
aiming at the aspect of evaluation characteristics, determining each evaluation parameter score according to each evaluation parameter value and the health evaluation parameter range, and carrying out weighted summation on all the evaluation parameter scores to obtain an evaluation characteristic score, wherein the evaluation parameters comprise a stability evaluation parameter, a fatigue evaluation parameter and a cooperativity evaluation parameter;
aiming at the aspect of individual conditions, the individual conditions comprise multi-class attributes related to the evaluation target class, and the scores of the attributes of each class are weighted and summed to obtain the scores of the individual conditions;
and (4) according to the score weights of various aspects preset by the evaluation target class, carrying out weighted summation on the pelvic floor muscle function score, the evaluation characteristic score and the individual condition score to obtain a final pelvic floor muscle function characteristic score.
8. The pelvic floor muscle group function assessment method based on the high-density air bag electrode as claimed in claim 1, wherein when the high-density air bag electrode system is adopted to collect surface electromyographic signals of single pelvic floor muscles corresponding to each channel of a tester, the single pelvic floor muscles are selected to be divided into the left side and the right side, and the number of the single pelvic floor muscles is 4-10;
the fixed time period is 50-70 seconds.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202801637U (en) * | 2012-08-21 | 2013-03-20 | 沈平 | Handheld device used for assessing and training pelvic floor muscle strength |
| CN103505204A (en) * | 2013-10-16 | 2014-01-15 | 南京麦澜德医疗科技有限公司 | Pelvic floor muscle function screening method |
| CN104721956A (en) * | 2015-04-10 | 2015-06-24 | 上海交通大学 | Pelvic floor muscle recovery probe and using method thereof |
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| CN209915990U (en) * | 2018-10-19 | 2020-01-10 | 力康华耀生物科技（上海）有限公司 | Vagina probe with myoelectricity collection function |
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