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Recently, application of Independent Component Analysis (ICA) has been reported for effective decomposition of surface electromyogram (SEMG) signals into a train of surface motor unit action potentials (SMUAPs) of a single motor unit (MU). Results of ICA were not always sufficient as the feature extraction of SMUAP at first dorsal interosseous muscle (FDI). The purpose of this study is to propose an effective method for feature extraction of SMUAP by simulation study of focusing on the effects of electrode orientation. SEMG signals were created with the model and application of ICA was applied to the signals. The present study showed that the useful and actual method of ICA application was to repeat measurement of SEMG signals with varying the electrode orientation, and then to select the better signals for the feature extraction by executing ICA algorithm.

In the field of sports science，support taping for ankle inversion sprain has often been used. The motion of ankle joint would be limited with support taping for ankle inversion. In order to clarify the effects of the ankle taping and to examine characteristics of the taping, we had constructed a system to measure the distance between the metatarsus first head and the floor with 3D motion analysis system, and to measure the planter pressure patterns during the ankle inversion with pressure monitoring system. When the eight subjects were instructed to inverse their ankles as much as possible with and without taping, there was a difference in the distances between taping and no taping.

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