Surface EMG pattern analysis of the wrist muscles at different speeds of contraction.
The aim of this study is to investigate the characteristics of surface electromyographic signals, particularly in pattern analysis. The data were collected from the wrist muscles (flexor carpi ulnaris and extensor carpi radialis) of 20 healthy participants. The study focuses on the movement of the wrist muscles at different frequencies. Participants were asked to contract their muscles at four different speeds (60, 90 and 120 cycles a minute and maximum speed) during wrist flexion and extension, co-contraction and isometric contraction. In this work, moving approximate entropy, mean absolute value and kurtosis are evaluated from the surface electromyographic signals at the four speeds. Moving approximate entropy and kurtosis analysis show that there are significant differences at three states of contraction; start, middle and end. It is shown that there are more regular data in a surface electromyographic signal at the beginning and end of a muscle contraction with low regularity during the middle part.
School of Electronics and Computer Science, University of Southampton, Southampton, UK. saa05r@ecs.soton.ac.uk
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Ahmad
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Chappell
D000328:Adult; D000465:Algorithms; D003627:Data Interpretation, Statistical; D004576:Electromyography / Q000379:methods*; D019277:Entropy; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D014953:Wrist / Q000502:physiology*