Publication: EMG classification using the second order volterra series
Submitted Date
Received Date
Accepted Date
Issued Date
2012-12-01
Copyright Date
Announcement No.
Application No.
Patent No.
Valid Date
Resource Type
Edition
Resource Version
Language
File Type
No. of Pages/File Size
ISBN
ISSN
eISSN
Scopus ID
WOS ID
Pubmed ID
arXiv ID
Call No.
Other identifier(s)
2-s2.0-84875120651
Journal Title
Volume
Issue
item.page.oaire.edition
Start Page
End Page
Access Rights
Access Status
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Physical Location
Bibliographic Citation
5th 2012 Biomedical Engineering International Conference, BMEiCON 2012. (2012)
Citation
Pongphan Pongpanitanont, Warakorn Charoensuk (2012). EMG classification using the second order volterra series. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/14108.
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
EMG classification using the second order volterra series
Alternative Title(s)
Author(s)
Author's Affiliation
Author's E-mail
Editor(s)
Editor's Affiliation
Corresponding Author(s)
Creator(s)
Compiler
Advisor(s)
Illustrator(s)
Applicant(s)
Inventor(s)
Issuer
Assignee
Other Contributor(s)
Series
Has Part
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.