Publication: EMG classification using the second order volterra series
| dc.contributor.author | Pongphan Pongpanitanont | en_US |
| dc.contributor.author | Warakorn Charoensuk | en_US |
| dc.contributor.other | Mahidol University | en_US |
| dc.date.accessioned | 2018-06-11T04:47:13Z | |
| dc.date.available | 2018-06-11T04:47:13Z | |
| dc.date.issued | 2012-12-01 | en_US |
| dc.description.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. | en_US |
| dc.identifier.citation | 5th 2012 Biomedical Engineering International Conference, BMEiCON 2012. (2012) | en_US |
| dc.identifier.doi | 10.1109/BMEiCon.2012.6465493 | en_US |
| dc.identifier.other | 2-s2.0-84875120651 | en_US |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/14108 | |
| dc.rights | Mahidol University | en_US |
| dc.rights.holder | SCOPUS | en_US |
| dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875120651&origin=inward | en_US |
| dc.subject | Engineering | en_US |
| dc.title | EMG classification using the second order volterra series | en_US |
| dc.type | Conference Paper | en_US |
| dspace.entity.type | Publication | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84875120651&origin=inward | en_US |