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This paper presents the design and implementation of a hand motions classifier using electromyographic (EMG) signals. The classified motions are: wrist flexion, wrist extension and hand closure. The motions are classified using two forearm muscles: longus palmar and extensor digitorum. This work was implemented in two principal blocks: the acquisition and adequacy of the EMG signal, and the processing system for the identification and classification of the motion made. The processing system

IMPLEMENTACIÓN EN FPGA DE UN CLASIFICADOR DE MOVIMIENTOS DE LA MANO USANDO SEÑALES EMG