Independent component analysis: An application for muscular contraction classification

Author

Daochai, S. ; Sueaseenak, D. ; Chanwimalueang, T. ; Laoopugsin, N. ; Pintavirooj, C.

Author_Institution

Mahidol Univ., Narkornparthom

fYear

2007

fDate

10-13 Dec. 2007

Firstpage

1

Lastpage

4

Abstract

We develop a multi-channel electromyogram acquisition system using PSOC microcontroller to acquire multichannel EMG signals. An array of 4 times 4 surface electrodes is used to record the EMG signal. B-spline interpolation technique has been utilized to map the EMG signal on the muscle surface. The topological mapping of the EMG is then analyzed to classify the pattern of muscle contraction. The proposed system was successfully demonstrated to record EMG data and its surface mapping The muscular contraction classification of mapping using independent component analysis demonstrates promising results.

Keywords

electromyography; independent component analysis; microcontrollers; pattern classification; splines (mathematics); B-spline interpolation technique; PSOC microcontroller; independent component analysis; multichannel EMG signals; multichannel electromyogram acquisition system; muscular contraction classification; surface mapping; Electrodes; Electromyography; Filters; Independent component analysis; Instruments; Interpolation; Muscles; Needles; Spline; Wire; EMG; ICA; PCA; PSOC;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications & Signal Processing, 2007 6th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-0982-2

Electronic_ISBN

978-1-4244-0983-9

Type

conf

DOI

10.1109/ICICS.2007.4449674

Filename

4449674