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Method to evaluate the skill level in fast locomotion through myoelectric and kinetic signal analysis
Authors:V. Medved  S. Tonkovic
Affiliation:(1) Faculty of Physical Education, University of Zagreb, Horvaćanski zavoj 15, 4100 Zagreb, Yugoslavia;(2) Faculty of Electrical Engineering, University of Zagreb, Unska 3, 4100 Zagreb, Yugoslavia
Abstract:The paper describes a method aimed at providing objective diagnostic testing of skilled locomotor stereotypes. Bioelectric muscle activity indices and ground reaction force data are used to represent a movement structure, in a schematised way, using discrete states in time. Athletes were asked to perform one specific movement structure: a backward somersault from the standing position. Mathematical analyses of measured signals reveal the significance, for the skill level evaluation, of parameters reflecting the impulsive take-off force waveform and the symmetry in EMG activity of ankle extensor muscles, which therefore might be used as diagnostic criteria. Within technical limitations, this approach may also be applied to other locomotor patterns and possibly to monitor the progress in motorics in pathological locomotion. EMG telemetry could significantly enhance the method's scope.
Keywords:Biomechanics  Computerised measurement  Electromyography  Locomotion diagnostics  Motoric skill
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