CN115644897A - Acquisition and evaluation method for abdominal wall muscle group spontaneous emission signal and application - Google Patents
Acquisition and evaluation method for abdominal wall muscle group spontaneous emission signal and application Download PDFInfo
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Abstract
The invention relates to the technical field of human muscle strength acquisition and evaluation methods, in particular to an acquisition and evaluation method of abdominal wall muscle group spontaneous emission signals and application thereof. The method comprises the steps that (1) self-discharge signal electrodes of abdominal wall muscle groups are adopted to respectively collect electrophysiological signal sequences of spontaneous discharge of the abdominal wall muscle groups based on a reference point at different detection points in a resting state and a specific motion state, wherein each detection point at least acquires one group of electrophysiological signal sequences; (2) Carrying out dispersion analysis and effectiveness analysis on the electrophysiological signals, and calculating to obtain the root mean square and the neutral frequency of the effective electrophysiological signals; (3) And obtaining evaluation parameters through normal mode conversion of the spontaneous emission electric signals of the abdominal wall muscle group based on the root mean square and the middle-set frequency parameters. The method provided by the invention can comprehensively collect self-discharge signals of abdominal wall muscle groups of women of childbearing age, and has positive clinical significance for muscular strength atrophy caused by neuropathy and muscular strength functional degeneration caused by aging.
Description
Technical Field
The invention relates to the technical field of human muscle strength acquisition and evaluation methods, in particular to an acquisition and evaluation method of self-emission electric signals of abdominal wall muscle groups and application thereof.
Background
Muscle strength is the strength of muscle that contracts autonomously, and is the ability of the human body or some skeletal muscle of the body to overcome internal and external resistance during operation. The muscle strength is insufficient, so that the patient can hardly meet the heavy workload, the phenomena of muscle fatigue and pain are easy to occur, and even various chronic skeletal muscle system wounds can be formed. Although the incidence of diseases such as muscular atrophy due to neuropathy and functional deterioration of muscular strength due to aging is not high, these diseases are highly harmful. Although there are academic studies showing that diseases such as muscular atrophy and functional degeneration of muscle strength can be treated to some extent by regular rehabilitation training and treatment. However, diagnosis and treatment of these diseases require more accurate detection and control of factors such as the recruitment state of muscles, strength, etc., and better rehabilitation measures can be taken. However, if the muscle state of the human body is not analyzed thoroughly or has errors, the spasm will be aggravated by inappropriate muscle training, and the elbow flexion, wrist flexion and pronation and finger flexion deformity will be caused, so that the hand function recovery is more difficult. Therefore, correct analysis of muscle status has positive clinical significance for muscle atrophy due to neuropathy and functional deterioration of muscle strength due to aging.
In practice, the strength and endurance of muscles under different conditions are often tested in different ways. Chinese patent CN201610148411 discloses an integrated control system and method for dynamic electrical stimulation of muscle groups, which can form synergistic electrical stimulation to multiple muscle groups of lower limbs through the disclosed control system, and can well assist patients with partial muscle strength deficiency and hemiplegic gait due to diseases to complete walking movement. However, the method only discloses a method for assisting a patient to complete a complete walking action, does not perform systematic analysis on the muscle state of the patient, cannot be applied to diagnosis and treatment of all relevant patients, and has a great improvement space.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method for acquiring and evaluating the self-emission signals of the abdominal wall muscle group, which has positive clinical significance on muscular strength atrophy caused by neuropathy and muscular strength functional degeneration caused by aging and can provide basis for diagnosis and treatment of doctors and rehabilitators.
Specifically, the invention discloses a method for collecting and evaluating spontaneous emission signals of abdominal muscle groups, which comprises the following steps
(1) Acquiring electrophysiological signal sequences of spontaneous discharge of abdominal muscle groups based on reference points at different detection points under a resting state and a specific motion state respectively by adopting abdominal muscle group spontaneous discharge signal electrodes, wherein each detection point at least acquires one group of electrophysiological signal sequences;
(2) Carrying out dispersion analysis and effectiveness analysis on the electrophysiological signals, and calculating to obtain the root mean square and the neutral frequency of the effective electrophysiological signals;
(3) And obtaining evaluation parameters through normal mode conversion of the spontaneous emission electric signals of the abdominal wall muscle group based on the root mean square and the middle-set frequency parameters.
As a preferred technical scheme of the invention, the reference points are the left anterior superior iliac spine and the right anterior superior iliac spine.
In a preferred embodiment of the present invention, the detection point includes muscle groups symmetrically disposed on the left rectus abdominis muscle and the right rectus abdominis muscle.
In a preferred embodiment of the present invention, the detection point includes a left abdominopelvic muscle, a right abdominopelvic muscle, a first muscle of a left abdominopelvic muscle, a first muscle of a right abdominopelvic muscle, a third muscle of a left abdominopelvic muscle, a third muscle of a right abdominopelvic muscle, a fourth muscle of a left abdominopelvic muscle, and a fourth muscle of a right abdominopelvic muscle.
As a preferred embodiment of the present invention, the dispersion analysis includes calculating an average value of the electrophysiological signal sequence obtained from the reference point, and determining a dispersion array of the signal sequence based on the calculated average value.
As a preferable technical solution of the present invention, the dispersion array is an array obtained by removing data with a maximum dispersion of 10%, and replacing a removed value with an average value of 5 values before and after the removed value.
As a preferred technical solution of the present invention, the electrophysiological signal sequence is subjected to a filtering operation before the average value is calculated; the filtering operation includes removing the power frequency signal and the high and low frequency signals.
As a preferred embodiment of the present invention, the rest state and the specific motion state include a full relaxation dimension, a burst duration dimension, a sustain relaxation dimension, and a light load dimension.
As a preferred technical solution of the present invention, the calculation method of the evaluation parameter is that the evaluation parameter = (RMS _0/RMS normal mode maximum value-RMS normal mode minimum value) + MF _0/MF normal mode maximum value-MF normal mode minimum value))/2; wherein the RMS _0 and MF _0 are the root mean square and the median frequency, respectively, of the reference electrophysiological signal.
The second aspect of the invention discloses the application of the method for collecting and evaluating the self-discharge signals of the abdominal wall muscle group in the preparation of medicaments for treating diseases related to muscle atrophy and muscle functional degeneration.
Has the advantages that: the method provided by the invention can comprehensively collect the self-emission signals of the abdominal wall muscle groups of the women of childbearing age, and the sampling points capable of comprehensively reflecting the muscle recruitment force and the muscle state of the abdominal wall muscle groups in different states are brought into the collection range by skillfully setting the collection positions and the collection numbers of the abdominal wall muscle groups, so that comprehensive collection information is obtained. And then, carrying out data analysis and processing on the acquired signal data by a time domain and frequency domain analysis method, thereby obtaining a series of evaluation parameters of the corresponding abdominal wall muscle group spontaneous emission signal. For the fully relaxed dimension and the sustained relaxed dimension, the lower the evaluated value after evaluation is, the less spontaneous muscle discharge phenomenon in the resting state is, and the muscle is fully relaxed in the resting state; and when the evaluation value is higher, the muscle spontaneous discharge phenomenon in the resting state is more, and the muscle in the resting state can not be completely relaxed. For the dimensions of outbreak, persistence and light load, the lower the evaluation value is, the less the spontaneous muscle discharge phenomenon in the motion state is, the insufficient muscle recruitment force is, and the muscle is weak; the higher the evaluation value is, the more spontaneous muscle discharge phenomenon in the motion state is, the muscle recruitment strength is strong, and the muscle has sufficient burst and continuous force. These signal acquisition and evaluation modalities can have positive clinical significance for muscle atrophy due to neuropathy and functional deterioration of muscle strength due to aging.
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FIG. 1 is a diagram illustrating abdominal wall muscle group detection points according to an embodiment of the present invention.
Detailed Description
The technical features of the technical solutions provided by the present invention are further clearly and completely described below with reference to the specific embodiments, and the scope of protection is not limited thereto.
The invention discloses a method for collecting and evaluating spontaneous emission signals of abdominal muscle groups, which comprises the following steps
(1) Acquiring electrophysiological signal sequences of spontaneous discharge of abdominal muscle groups based on reference points at different detection points under a resting state and a specific motion state respectively by adopting abdominal muscle group spontaneous discharge signal electrodes, wherein each detection point at least acquires one group of electrophysiological signal sequences; (2) Performing dispersion analysis and effectiveness analysis on the electrophysiological signals, and calculating to obtain the root mean square (MRS) and the Medium Frequency (MF) of the effective electrophysiological signals; (3) And obtaining an evaluation parameter through normal mode conversion of the spontaneous emission signal of the abdominal muscle group based on the root mean square and the neutral frequency parameter.
The method for acquiring and evaluating the self-emission electric signals of the abdominal wall muscle groups is mainly suitable for women of 25 to 38 years old and suitable for judging the muscle conditions of the pregnant women and the born women according to the self-emission electric signals of the abdominal wall muscle groups of the non-pregnant women and the born women in different states.
The rest state refers to the state that muscles are relaxed, are not stressed and do not apply force, the abdominal muscles can be relaxed in a mode of lying down and bending knees, and the muscles can be completely relaxed in the mode. The relaxation of the abdominal wall muscle groups can also be maintained by erecting.
The electrophysiological signal of the invention enables bioelectrical changes generated by the muscle during the activity to be displayed in a graphic form, and a one-dimensional sequence signal of voltage changes obtained after the detection, amplification, recording and display are guided by the detection electrode. The peak value of the electric signal of the skin surface (such as the abdominal wall muscle group surface) is within the range of 0 to 6000 μ V, the frequency is within the range of 0 to 500Hz, and the dominant frequency is within the range of 50 to 150Hz. The electrical signal variation has great randomness and is a nonlinear bioelectrical activity signal similar to noise. In the present invention, the related devices of the detecting electrode of the electrophysiological signal are not particularly limited, and various detecting devices known to those skilled in the art can be selected.
In some embodiments of the invention, the reference points are on symmetrical muscles on the left and right rectus abdominis and further the reference points are the left and right anterior superior iliac spine.
In some embodiments of the invention, the detection points for acquiring the physiological signals of the spontaneous discharge of the abdominal muscle group are uniformly distributed on the left and right rectus abdominis and the oblique abdominal muscles; further, the detection point comprises muscle groups symmetrically arranged on the left rectus abdominis muscle and the right rectus abdominis muscle; further preferably, the detection points include a left abdominalis obliquus, a right abdominalis obliquus, a left abdominalis rectus first muscle, a right abdominalis rectus first muscle, a left abdominalis rectus third muscle, a right abdominalis rectus third muscle, a left abdominalis rectus fourth muscle, and a right abdominalis rectus fourth muscle.
In some embodiments of the present invention, the electrophysiological signal sequence obtained by detection is subjected to corresponding dispersion analysis and effectiveness analysis, so as to ensure the reliability of the detection data, thereby enabling the detection result to truly reflect the true condition of the muscle group of the person to be detected. In some embodiments, the dispersion analysis includes averaging the sequence of electrophysiological signals obtained from the reference point acquisition, and solving a dispersion array of the sequence of signals based on the computed averages.
The term "dispersion" in the present invention is a physical quantity used to characterize the degree of dispersion of detected data, which reflects the degree of dispersion of a set of data from its central value. In some preferred embodiments of the present invention, the dispersion array is an array obtained by removing data with a maximum dispersion of 10%, and replacing the removed value with an average value of 5 values before and after the removed value.
In order to further improve the reliability of detection results and the stability of detection data, the electrophysiological signals are subjected to effectiveness analysis; furthermore, the invention adopts the detection data with the reliability value not lower than 0.9. The term "reliability" in the present invention is a physical quantity that represents the degree of coincidence of the results obtained when the same object is repeatedly measured by the same method, and is used to improve the stability and reliability of the analysis results.
In some preferred embodiments of the invention, the sequence of electrophysiological signals is subjected to a filtering operation before the average calculation is performed; the filtering operation includes removing the power frequency signal and the high and low frequency signals. The term "power frequency signal" in the invention is an industrial frequency-related voltage or current signal, and in the invention, in order to avoid interference on an analysis result, the power frequency signal with the frequency of 50Hz and the frequency multiplication is removed. In addition, the interference of the analysis result is further reduced, and high-frequency signals and low-frequency signals are further removed, wherein the high-frequency signals refer to signals with the frequency higher than 300Hz, and the low-frequency signals refer to signals with the frequency lower than 10 Hz.
In the invention, in order to comprehensively reflect the muscle recruitment force, the strength and other information of the abdominal wall muscle group in the resting state and the motion state, in some preferred embodiments of the invention, the resting state and the specific motion state comprise a complete relaxation dimension, an outbreak continuation dimension, a maintenance relaxation dimension and a light load dimension. The term "spasm" refers to a muscle spontaneous discharge phenomenon in the relaxed state of the muscle, which can cause the muscle to suddenly make involuntary contracture, commonly called cramp, which can make a patient feel sharp pain and the muscle action is uncoordinated, and such symptoms are mainly embodied in stroke and nerve diseases, so that the electrophysiological signal analysis in the complete relaxed dimension and the maintenance relaxed dimension is acquired in the acquisition and evaluation of the abdominal wall muscle group spontaneous discharge signal, and has positive significance for the diagnosis and treatment in stroke and nerve diseases. The dimensions of burst, burst duration, and light load in the above-mentioned states of motion can be used to observe the strength of muscle strength in the state of muscle recruitment (exercise), wherein the term "muscle recruitment" refers to the amount of muscle strength in the muscle in the state of motion. In the invention, the collection of the electrophysiological signals in the motion state has positive clinical significance on muscular atrophy caused by neuropathy and functional degeneration of muscular strength caused by aging.
The exercise state in the present invention includes the explosion dimension (abdominal exertion/knee flexion and head raising), the explosion duration dimension (abdominal tightening/knee flexion and head raising), the duration dimension (flat support), and the light load dimension (upright/lifting 10kg load). Each group of work required 3 times (evaluation of the reliability/validity of the electromyographic signals), 1 minute each time, with a5 minute rest between intervals.
In some embodiments of the present invention, the evaluation parameter is calculated by an evaluation parameter = (RMS _0/RMS normal mode maximum value-RMS normal mode minimum value) + MF _0/MF normal mode maximum value-MF normal mode minimum value))/2; wherein the RMS _0 and MF _0 are the root mean square and the median frequency, respectively, of the reference electrophysiological signal.
In some embodiments, when 8 probe points are adopted for probing and the 6 dimensions are adopted for collection and analysis, 16 collection data are obtained by 2 actions in each group, after mean value processing, one MRS data and one MF data are obtained by each group of actions, corresponding MRS data and MF data are obtained by different sample numbers, and MRS and MF value spline curve functions are formed by minimum 2 multiplication, namely, normal mode curves. Obtaining the maximum value and the minimum value in the curve according to the following formula: evaluation parameter = (RMS _0/RMS norm maximum-RMS norm minimum) + MF _0/MF norm maximum-MF norm minimum))/2, calculation of evaluation parameter with 0.5 as qualifying criterion.
In the completely relaxed dimension, the spasm phenomenon with the evaluation parameter larger than 0.5 needs to be concerned, and the spasm phenomenon does not need to be concerned when the evaluation parameter is smaller than 0.5; in the outbreak dimension, the evaluation parameter is more than 0.5 without paying attention, and the muscle strength is less than 0.5 for instantaneous outbreak; in the dimension of outbreak maintenance, the evaluation parameter is more than 0.5 and does not need attention, and the continuous outbreak of muscle strength less than 0.5 needs attention; in the continuous dimension, the evaluation parameter is more than 0.5 and does not need attention, and the muscle strength continuous force less than 0.5 needs attention; when the relaxation dimension is maintained, the evaluation parameter is more than 0.5 and does not need attention, and the intermittent spasm phenomenon less than 0.5 needs attention; in the light load dimension, no attention is required for the evaluation parameter to be greater than 0.5, and attention is required for the muscle strength sustaining force at a load of less than 0.5.
The lower the assessment value for spasticity at rest of the muscle in the fully relaxed dimension and in the maintenance relaxed dimension: this indicates that the less spontaneous muscle discharge occurs at rest, the more relaxed the muscle is at rest. The higher the evaluation value is: the more spontaneous muscle discharge phenomena in the resting state, the less the muscle can completely relax in the resting state. The evaluation result can provide basis for diagnosis and treatment of doctors and rehabilitation teachers. Muscle strength in the burst dimension, sustained dimension, light load dimension, muscle recruitment (motor) state, the lower the assessment: the less spontaneous muscle discharge phenomenon in the exercise state, the insufficient muscle recruitment strength and the muscle weakness. The higher the evaluation value is: the more spontaneous muscle discharge phenomena in the motion state, the strong muscle recruitment force and the full burst and continuous muscle force are shown. The evaluation result can provide basis for diagnosis and treatment of doctors and rehabilitation teachers.
The second aspect of the invention discloses the application of the method for collecting and evaluating the self-discharge signals of the abdominal wall muscle group in the preparation of medicaments for treating diseases related to muscle atrophy and muscle functional degeneration.
Examples
According to the probe points in fig. 1, the parameter acquisition and analysis are performed according to the following steps:
(1) Placing abdominal wall muscle groups self-discharge signal electrode detection points, wherein the total number of the detection points is 8 (respectively 1-first right abdominal rectus muscle, 2-first left abdominal rectus muscle, 3-third right abdominal rectus muscle, 4-third left abdominal rectus muscle, 5-fourth right abdominal rectus muscle, 6-fourth left abdominal rectus muscle, 7-outer right abdominal oblique muscle and 8-outer left abdominal oblique muscle) and 2X public reference points (left anterior superior iliac spine and right anterior superior iliac spine). Differential signal sequences A1, A2, A3, A4, A5, A6, A7, A8 of the respective probe points based on the reference points are acquired.
(2) And removing power frequency signals (50 Hz and frequency multiplication thereof) in each group of differential signals, and removing low-interference signal sequences NA1, NA2, NA3, NA4, NA5, NA6, NA7 and NA8 after filtering low-frequency signals of <10Hz and high-frequency signals of >300 Hz.
(3) The left and right differential reference common mode signals are removed.
(4) The signal sequences are averaged by the signal sequences NA1, NA2, NA3, NA4, NA5, NA6, NA7 and NA8 to obtain the mean values V1, V2, V3, V4, V5, V6, V7 and V8 of the signal sequences.
(5) The dispersion D1, D2, D3, D4, D5, D6, D7, D8 of the signal sequence is found by means, and the new mean values NV1, NV2, NV3, NV4, NV5, NV6, NV7, NV8 are found after data of 10% of the maximum dispersion is removed. Meanwhile, the average value of 5 values before and after the rejection value is used for replacing the rejection value, and a new signal sequence S1, S2, S3, S4, S5, S6, S7 and S8 is obtained.
(6) NV1-9/V1-9 > 0.9 is valid data (confidence (validity value) = 0.9), otherwise data needs to be re-collected for invalid data.
(7) Obtaining root mean square RMS1, RMS2, RMS3, RMS4, RMS5, RMS6, RMS7, RMS8 and the neutral frequencies MF1, MF2, MF3, MF4, MF5, MF7, MF8 of the electrophysiological signals of S1, S2, S3, S4, S5, S6, S7, S8; that is, one action will eventually yield a total of 8 sets of RMS values and a total of 8 sets of MF values
(8) The root mean square and the median frequency of the electrophysiological signals for 6 groups of actions were determined: fully relaxed dimension: RMS-1, MF-1; burst dimension: RMS-2, MF-2; burst duration dimension: RMS-3, MF-3; the continuous dimension: RMS-4, MF-4; maintaining the relaxed dimension: RMS-5, MF-5; light load dimension: RMS-6, MF-6.
(9) And converting the self-discharge signal norm of the abdominal wall muscle group into a corresponding evaluation grade.
(10) By selecting the non-bearing and bearing normal modules, RMS _0 and MF _0 are obtained.
(11) The evaluation value = (RMS _ 0/(RMS constant maximum-RMS constant minimum) + MF _ 0/(MF constant maximum-MF constant minimum))/2.
The test results for the above case are shown in tables 1 and 2 below:
TABLE 1
TABLE 2
The above description is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure should not be limited thereby. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure are intended to be included within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. The method for collecting and evaluating the spontaneous emission signals of abdominal muscle groups is characterized by comprising
(1) Acquiring electrophysiological signal sequences of spontaneous discharge of abdominal muscle groups based on reference points at different detection points under a resting state and a specific motion state respectively by adopting abdominal muscle group spontaneous discharge signal electrodes, wherein each detection point at least acquires one group of electrophysiological signal sequences;
(2) Carrying out dispersion analysis and effectiveness analysis on the electrophysiological signals, and calculating to obtain the root-mean-square and the neutral frequency of the effective electrophysiological signals;
(3) And obtaining evaluation parameters through normal mode conversion of the spontaneous emission electric signals of the abdominal wall muscle group based on the root mean square and the middle-set frequency parameters.
2. The method for collecting and evaluating the self-discharge signal of the abdominal muscle group according to claim 1, wherein the reference points are the left anterior superior iliac spine and the right anterior superior iliac spine.
3. The method for collecting and evaluating the self-discharge signals of the abdominal wall muscle group according to claim 2, wherein the detection points comprise muscle groups symmetrically arranged on the left rectus abdominis and the right rectus abdominis.
4. The method for collecting and evaluating the self-discharge signals of the abdominal wall muscle group according to claim 2, wherein the detection points comprise a left abdominal external oblique muscle, a right abdominal external oblique muscle, a left abdominal rectus muscle first muscle, a right abdominal rectus muscle first muscle, a left abdominal rectus muscle third muscle, a right abdominal rectus muscle third muscle, a left abdominal rectus muscle fourth muscle, and a right abdominal rectus muscle fourth muscle.
5. The method for collecting and evaluating the self-emission signal of the abdominal muscle group according to claim 1, wherein the dispersion analysis comprises calculating an average value of the electrophysiological signal sequence obtained from the reference point, and determining a dispersion array of the signal sequence based on the calculated average value.
6. The method for collecting and evaluating the self-emission electric signals of the abdominal wall muscle groups according to claim 5, wherein the dispersion array is an array obtained by removing data with a maximum dispersion of 10%, and replacing the removed value with an average value of 5 values before and after the removed value.
7. The method for collecting and evaluating the self-emission signal of the abdominal muscle group according to claim 5, wherein the electrophysiological signal sequence is filtered before the average value calculation; the filtering operation includes removing the power frequency signal and the high and low frequency signals.
8. The method for collecting and evaluating the abdominal wall muscle group self-emission electric signals according to any one of claims 1 to 7, wherein the rest state and the specific motion state comprise a complete relaxation dimension, an outbreak continuation dimension, a maintenance relaxation dimension and a light load dimension.
9. The method for collecting and evaluating the spontaneous emission signal of the abdominal wall muscle group according to claim 8, wherein the evaluation parameter is calculated by using the evaluation parameter = (RMS _0/RMS normal mode maximum value-RMS normal mode minimum value) + MF _0/MF normal mode maximum value-MF normal mode minimum value))/2; wherein the RMS _0 and MF _0 are the root mean square and the median frequency, respectively, of the reference electrophysiological signal.
10. The use of the method for collecting and evaluating the self-emission signals of the abdominal muscle group according to any one of claims 1 to 9 in the preparation of a medicament for treating diseases related to muscle atrophy and muscle functional degeneration.
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