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Evaluation of High-Density EMG Feature Extraction and Selection to Recognize Lower Limbs Movements for a Rehabilitation Exoskeleton.
Rel. Marco Gazzoni. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2018
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Abstract
The purpose of this study is the evaluation of HD-EMG feature extraction andselection for the classification of Lower Limbs Daily Living Movements for the control of arehabilitation exoskeleton. The movements considered in the experimental protocol were:Stand to sit, sit to stand, stair ascending, stair descending, a gait cycle, rest in uprightposition and rest in a sitting position. In particular 17 features, divided in time domainand frequency domain, have been taken into account. Monopolar signals were recordedfrom 7 muscles using 4 matrices of 32 electrodes placed on Rectus Femoris, Vastus Medialis,Vastus Lateralis and Tibialis Anterior and 2 matrices of 64 placed on GastrocnemiusMedialis and Semitendinosus & Biceps Femoris.
Single differential EMG signals were used,and a bad channel selection was performed to remove those channels without informations.Nine healthy and voluntary subjects were involved in the experiments
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