EMG classification using the second order volterra series

EMG classification using the second order volterra series

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 a...

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Main Authors: Pongphan Pongpanitanont, Warakorn Charoensuk
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Engineering
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/14108
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Institution: Mahidol University
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spelling th-mahidol.141082018-06-11T11:47:13Z EMG classification using the second order volterra series Pongphan Pongpanitanont Warakorn Charoensuk Mahidol University Engineering 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. 2018-06-11T04:47:13Z 2018-06-11T04:47:13Z 2012-12-01 Conference Paper 5th 2012 Biomedical Engineering International Conference, BMEiCON 2012. (2012) 10.1109/BMEiCon.2012.6465493 2-s2.0-84875120651 https://repository.li.mahidol.ac.th/handle/123456789/14108 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875120651&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Engineering
spellingShingle Engineering
Pongphan Pongpanitanont
Warakorn Charoensuk
EMG classification using the second order volterra series
description 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.
author2 Mahidol University
author_facet Mahidol University
Pongphan Pongpanitanont
Warakorn Charoensuk
format Conference or Workshop Item
author Pongphan Pongpanitanont
Warakorn Charoensuk
author_sort Pongphan Pongpanitanont
title EMG classification using the second order volterra series
title_short EMG classification using the second order volterra series
title_full EMG classification using the second order volterra series
title_fullStr EMG classification using the second order volterra series
title_full_unstemmed EMG classification using the second order volterra series
title_sort emg classification using the second order volterra series
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/14108
_version_ 1763498035819577344

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