Research On Key Techniques Of Neck Muscles Evaluation Based On EMG Sensor

With the popularization of many smart electronic devices and applications,people’s production and lifestyle have changed a lot.Fatigue of neck muscles has become a common phenomenon.In severe cases,cervical spondylosis has even developed.Surface Electromyography(SEMG)is a set of voltage time series signals obtained by collecting electrical signals generated by muscles during surface activity through surface electrodes.It has a very close relationship with muscle activity and functional states.Therefore,it can reflect the state of the muscle to a certain extent,so it can quantitatively reflect the degree of muscle fatigue.Many studies have proved that neck functional exercise can improve various neck problems including cervical spondylosis,Therefore,in this paper,the myoelectric signals generated by the muscles during the static fatigue and during exercise of the human neck are taken as the research objects,and the neck muscle fatigue is analyzed and the neck movements are identified.The main research content of this paper is around the surface electromyography signals of the neck.In order to analyze the neck fatigue reasonably,first,we designed two kinds of neck static fatigue tests.Then,the surface electromyography signal acquisition system is used to collect the surface electromyography of the human neck,and then completed preprocessing such as band-pass filtering,notch filtering,normalization and wavelet denoising through MATLAB,and then use signal separation algorithm to de-alias and separate the SEMG signal and analyze neck muscle fatigue.Finally,BP neural network is used to perform pattern recognition on six basic neck movements and four movements related to neck functional exercise,And achieved a high accuracy.The experimental results show that the static fatigue experiment designed in this paper has a good effect on neck fatigue analysis,and it is effective for surface electromyography signal processing methods,feature extraction methods and pattern recognition strategies.The research done in this paper has certain reference value and significance for neck fatigue analysis and neck movement recognition.