EEG Motor Imagery Classification of Upper Limb Movements

Maria Claudia F. Castro, João Pedro de O. P. Galhianne, Esther Luna Colombini

Abstract

C EEG channel data are usually used when building systems that aim at distinguishing among right and left hand movements. Few alternatives use multichannel systems when bigger sets of motor imagery are subject to classification and more inputs are required. In this context, this work proposes the use of 8 EEG channels (F,C,P, and O), disposed in a non-conventional set up, to classify up to 4 motor imagery of the upper limbs through a Linear Discriminant Analysis classifier. A spatial feature selection, prior to classification, is applied in order to improve the classification accuracy. For the many channel combinations tested, results suggest that, in addition to the motor areas, other brain areas should be considered. For the proposed system, the best classification accuracy was achieved when distinguishing between left arm and left hand (89.74%) and using only the electrodes in F areas. For the right versus left hand a 71.80% rate was obtained, with electrodes either in P and O areas or in F and P areas. To discriminate between arms and hands, independently of the body side, the best score was 83.33%, for F and P channels, whereas for right and left limbs the best score was 66.02%, with only P channels. The best classification accuracy for the 4 movement problem achieved 50.00%, using all electrodes.

References

  1. Dolezal, J., Cerny, V., and Stastny, J. (2011). Constructing a Brain-Computer Interface. In International Confer-
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Paper Citation


in Harvard Style

Claudia F. Castro M., Pedro de O. P. Galhianne J. and Luna Colombini E. (2013). EEG Motor Imagery Classification of Upper Limb Movements . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 314-317. DOI: 10.5220/0004235003140317


in Bibtex Style

@conference{biosignals13,
author={Maria Claudia F. Castro and João Pedro de O. P. Galhianne and Esther Luna Colombini},
title={EEG Motor Imagery Classification of Upper Limb Movements},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={314-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004235003140317},
isbn={978-989-8565-36-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - EEG Motor Imagery Classification of Upper Limb Movements
SN - 978-989-8565-36-5
AU - Claudia F. Castro M.
AU - Pedro de O. P. Galhianne J.
AU - Luna Colombini E.
PY - 2013
SP - 314
EP - 317
DO - 10.5220/0004235003140317