Non Invasive Technique Based Evaluation of Electromyogram Signals Using Statistical Algorithm
نویسندگان
چکیده
It is well known that Surface Electromyography is the activity that is being generated when voluntary contraction took place, so in this investigation, the study of Surface Electromyogram (SEMG) signals at different above-elbow muscles were carried out. These signals were easily acquired from surface of skin of the body using non-invasively house design of hardware system and various techniques for the interpretation of these recorded signals using one way repeated factorial analysis of variance were presented. Acquired data from selected locations of above elbow was interpreted for various features using LABVIEW soft scope and finally the computations of parameters were done. Result shows characteristics change in extracted feature values for different movements with respect to each position and movement.
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