Design And Development Of Surface EMG Signal Processing Software Based On Matlab

Purpose This paper aims to realize a s EMG signal process method commonly used in sports biomechanics research through the MATLAB software,for providing sports science researchers who cannot programming on signal processing with an efficient and simple software.And a new preprocessing method for muscle activation and inactivation time detection is proposed.Methods First we summarize several commonly used methods of s EMG signal processing as well as algorithms of s EMG signal processing,then realize these methods by using MATLAB language,finally we present the result with an interactively GUI software.After comparison with the existing commercial software results we validate the accuracy of each method in the data processing.It was applied to the data processing of s EMG in the laboratory,and then the processing efficiency was compared with that of the commercial s EMG processing software.Results We finished a software that contains a series of basic functions of s EMG signal processing in sports science.In addition to the existing commercial software processing functions,this new software also includes some signal noise reduction methods and index extraction methods that are used in other research areas but not used in sports science.This software includes various functions commonly used in s EMG signal processing,mainly contains preprocessing,index extraction and statistical analysis etc.Functions.The preprocessing mainly refers to data preparation for noise reduction and index extraction.The index extraction contains parameters in time domain and frequency domain and time-frequency characteristic indexes.The later stage functions mainly include integration and analysis of various indexes.After comparison of results of our new preprocessing method and single and double threshold methods,the result showed that the detection accuracy of our new preprocessing method is higher than that of single and double threshold methods.The efficiency of our new software this paper proposed is much higher than that of commercial s EMG signal processing software used in laboratory.Conclusion This software can meet the needs of sports science researchers for s EMG signal processing,and the processing efficiency of this software is higher than that of the commercial s EMG signal processing software,providing those who work on kinesiology and cannot programming with a useful and effective method for s EMG signal processing.