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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/14108
Title: EMG classification using the second order volterra series
Authors: Pongphan Pongpanitanont
Warakorn Charoensuk
Mahidol University
Keywords: Engineering
Issue Date: 1-Dec-2012
Citation: 5th 2012 Biomedical Engineering International Conference, BMEiCON 2012. (2012)
Abstract: This paper studies about electromyography (EMG) classification. The application of EMG classifier is used for prosthetic control. A Volterra series was propose in this works, we used 2 nd order series for processing EMG signal. This work had compared between filtered EMG and 2 nd Volterra EMG in artificial neural network (ANN) model. The result show the classification with 2 nd Volterra EMG has more accuracy than filtered EMG. The future works is to develop the Volterra-Neural networks (V-NN) model for EMG classifier. ©2012 IEEE.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875120651&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/14108
Appears in Collections:Scopus 2011-2015

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