Skip to main navigation Skip to search Skip to main content

EMG classification using the second order volterra series

  • Mahidol University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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 2nd order series for processing EMG signal. This work had compared between filtered EMG and 2nd Volterra EMG in artificial neural network (ANN) model. The result show the classification with 2nd Volterra EMG has more accuracy than filtered EMG. The future works is to develop the Volterra-Neural networks (V-NN) model for EMG classifier.

Original languageEnglish
Title of host publication5th 2012 Biomedical Engineering International Conference, BMEiCON 2012
DOIs
Publication statusPublished - 2012
Event5th 2012 Biomedical Engineering International Conference, BMEiCON 2012 - Muang, Ubon Ratchathani, Thailand
Duration: 5 Dec 20127 Dec 2012

Publication series

Name5th 2012 Biomedical Engineering International Conference, BMEiCON 2012

Conference

Conference5th 2012 Biomedical Engineering International Conference, BMEiCON 2012
Country/TerritoryThailand
CityMuang, Ubon Ratchathani
Period5/12/127/12/12

Keywords

  • EMG
  • Neural network
  • Volterra series

Fingerprint

Dive into the research topics of 'EMG classification using the second order volterra series'. Together they form a unique fingerprint.

Cite this