Single trial EEG classification of observed wrist movements

Lakany, H. and Valsan, G. and Conway, B.A. (2009) Single trial EEG classification of observed wrist movements. In: Proceedings of the 4th International IEEE/EMBS Conference on Neural Engineering, 2009. NER '09. IEEE. ISBN 978-1-4244-2072-8

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Abstract

In this paper, we present the results of single trial EEG classification of observed wrist movements. This study is part of our endeavour to develop brain computer interfaces as an assistive device for people with severe motor disabilities. Our methods rely on a simple but robust algorithm that requires no subject training to modulate brain activity. We adopt a method based on extraction and selection of statistically significant time-frequency features using ANOVA and principal component analysis. Classification results achieved ~80% (±12%.

Author(s):Lakany, H., Valsan, G. and Conway, B.A.
Item type:Book Section
ID code:39699
Keywords:trial, EEG, wrist, movement, Bioengineering, Engineering (General). Civil engineering (General)
Subjects:Technology > Engineering (General). Civil engineering (General) > Bioengineering
Technology > Engineering (General). Civil engineering (General)
Department:Faculty of Engineering > Bioengineering
Depositing user: Pure Administrator
Date deposited:14 May 2012 15:44
Last modified:30 Jan 2019 10:21
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URI:https://strathprints.strath.ac.uk/id/eprint/39699
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