Biomed Tech (Berl)
September 1993
Two methods are introduced to suppress artifacts in the EMG signal, as can occur with EMG detection. These methods are based upon an adaptive threshold, which depends on the muscle activity measured just before. Even small artifacts are identified and suppressed in a small EMG, so if they are not too long in duration they do not noticeably falsify the muscle activity detection.
View Article and Find Full Text PDFBiomed Tech (Berl)
November 1992
This article summarizes the main possibilities for myoelectrical control of prostheses and other rehabilitation devices. In this context fundamental cybernetic aspects, the question of achieving optimal differentiation of antagonistic signals, and 16 possibilities of myoelectrical control, ranging from simple n-state threshold detectors to rate sensitive controllers, to intelligent controllers and pattern recognition techniques, are considered.
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