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The use of surface electromyography (SEMG) in movement analysis allows a direct monitoring of muscle activity and connects it to the biomechanics by providing the estimation of the signal amplitude and muscles activation intervals during contraction, and the monitoring of muscular fatigue. A correct use of this information could give contributions to several applications ranging from clinical environments to sports training. For this purpose, a set of algorithms, developed by considering the statistical nature of SEMG signals, has been integrated in a new tool devoted to a correct and standardised extraction of information, with minimal need for operator settings. |
