EMG classification using the second order volterra series

Author

Pongpanitanont, Pongphan ; Charoensuk, Warakorn

Author_Institution

Dept. of Biomed. Eng., Mahidol Univ., Nakorn Pathom, Thailand

fYear

2012

fDate

5-7 Dec. 2012

Firstpage

1

Lastpage

3

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.

Keywords

Volterra series; electromyography; medical control systems; medical signal processing; multilayer perceptrons; prosthetics; signal classification; 2^nd order series; ANN model; EMG classification; EMG classifier; EMG signal processing; VNN model; Volterra series; Volterra-Neural networks; artificial neural network; electromyography; filtered EMG; prosthetic control; second order volterra series; Accuracy; Convolution; Electromyography; Kernel; Neural networks; Prosthetics; Training; EMG; Neural Network; Volterra series;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering International Conference (BMEiCON), 2012

Conference_Location

Ubon Ratchathani

Print_ISBN

978-1-4673-4890-4

Type

conf

DOI

10.1109/BMEiCon.2012.6465493

Filename

6465493