Statistical approach for angular position separability classes of EMG data
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2011-01-06
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Castro, M.C.F.
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2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011
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CASTRO, M. C. F. Statistical approach for angular position separability classes of EMG data. 2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011, p. 110 - Jan. 115, 2011.
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This paper focus on the application of a multivariate statistical analysis approach, based on Linear Discriminant Analysis (LDA), of EMG data that aims to identify the angular position of the elbow. Linear transformations applied to EMG signals of the Biceps brachii and Triceps brachii, acquired during flexion / extension movements, enabled good and reliable class separation for future classification. © 2011 IEEE.