Study On The Coupling Analysis Of The Upper Limb Electromyography Based On Coherent Analysis

Human body movement is a complex process that is accomplished by muscle contraction under the control of the nervous system.Electromyography(EMG)signals generated during exercise represent the response information of the control terminal.Under the synchronized control of the central nervous system,the exercise muscles have a mutual coupling relationship.It contains certain information about the central nervous system’s control of the movement,and at the same time reflects the relationship between different muscles.The intermuscular coupling strength also reflects the movement.Muscle coordination.Research on the coupling relationship of EMG signals has become a hot topic of research in sports science research and exploration of motion control mechanisms.This paper first introduces the generation mechanism and coupling relationship of myoelectric signals,and introduces and analyzes the research status of myoelectric signal coupling analysis algorithms.Combined with the coupling of myoelectric signals and the deficiencies of existing research methods,the research content of this article is confirmed.:The characteristics of coupling frequency bands and the traditional coupling analysis can not describe the characteristics of multi-channel coupling.The coherent analysis method is used to improve the EMG signal coupling analysis algorithm.A frequency-division coupling analysis model based on variational modal decomposition-coherence analysis was constructed to address the significant frequency band characteristic of the coupling relationship of EMG signals.The EMG signal was decomposed in the frequency domain to eliminate the interference of adjacent frequency bands.Coupling analysis of EMG information with energy concentrated in a single frequency band and quantitative correlation of characteristic band couplings using significant coherent areas.The experimental data analysis results show that the variational modal decomposition-coherence analysis method can effectively characterize the characteristic band coupling information of the myoelectric signal.Exercise is accomplished under the joint action of multiple muscles.The coherent analysis method is used to describe the limitations of the coupling relationship betweenthe two signals.This paper introduces a multivariate data analysis method to construct a multi-channel EMG signal coupling analysis model based on coherent analysis and non-negative matrix factorization.The coherent analysis method was used to extract the coupled feature composition coupling matrix,and the non-negative matrix decomposition method was used to characterize the coupling characteristics of multi-channel EMG signals.The experimental data analysis results show that the coherent analysis-non-negative matrix factorization method can quantitatively characterize the coupling characteristics of multi-channel EMG signals in different frequency ranges.Finally,the method proposed in this paper was applied to the analysis of the coupled characteristics of the electromyographic signals of the affected upper limbs of stroke patients.The coupling characteristics of the characteristic frequency bands and the coupling characteristics of the multiple channels were analyzed and compared with the results of healthy patients.The results show that there is a certain degree of lack of coupling between the ipsilateral motor muscles of stroke participants compared with healthy individuals.The analysis results have an instructive significance for the patient’s diagnosis and treatment and rehabilitation training from the perspective of objective EMG signal analysis.The effectiveness of the algorithm was verified to some extent.