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Movement classification has been a challenging problem in neuroprosthesis control. Many studies have taken into account the classification of movement using time and frequency domain features extracted from the electromyogram signals while calculating these features are usually time consuming. In this paper, we compared the capability of muscle activation waveform in the classification of five arm...
The production of movement in vertebrate species requisites their nervous system to deal with a high degree of freedom. The strategy that the central nervous system (CNS) recruits to overcome this barrier has been a longstanding question among researchers. A hypothesis that sheds light on this motor control problem is that the CNS uses a modular organization to simplify the task and generate a purposeful...
Surface electromyograms (EMGs) are valuable in the pathophysiological study and clinical treatment. These recordings are critically often contaminated by cardiac artifact. The purpose of this article was to evaluate the performance of an adaptive filter and artificial neural network (ANN) in removing electrocardiogram (ECG) contamination from surface EMGs recorded from the pectoralismajor muscles...
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