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In this study, we present a real-time system to control a virtual hand using traditional features of surface electromyography (sEMG). The sEMG signal was recorded while performing simple finger and wrist movements related to the day-to-day activities. Traditional features of sEMG: RMS (Root Mean Square), VAR (Variance) and WL (Waveform Length) were computed(More)
Reduction in number of motor units (nMU) and fast fibre ratio (FFR) is associated with disease or atrophy when this is rapid. There is a need to study the effect of nMU and FFR to analyse the association with ageing and disease. This study has developed a mathematical model to investigate the relationship between nMU and FFR on surface electromyogram (sEMG)(More)
It has been observed that there is a loss of complexity in the human body as we age. This is more prominent in the muscle strength and activity. Surface Electromyogram (sEMG) reflects the strength of muscle contraction. This age related changes in sEMG have been associated with a reduction in the number of muscle fibers and a drop in the ratio of type II(More)
Reduction in the median frequency and the amplitude of surface electromyogram (sEMG) has been observed among older subjects compared with the younger cohort. These changes in sEMG have been associated with a reduction in the number of muscle fibers and a drop in the ratio of type II muscle fibers. However, the details of this association are not known. This(More)
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