USING WAVELET TRANSFORM FOR FEATURE EXTRACTION FROM EEG SIGNAL

Lenka Lhotska, Vaclav Gerla, Jiri Bukartyk, Vladimir Krajca, Svojmil Petranek

Abstract

Manual evaluation of long-term EEG recordings is very tedious, time consuming, and subjective process. The aims of automated processing are on one side to ease the work of medical doctors and on the other side to make the evaluation more objective. This paper addresses the problem of computer-assisted sleep staging. It describes ongoing research in this area. The proposed solution comprises several consecutive steps, namely EEG signal pre-processing, feature extraction, feature normalization, and application of decision trees for classification. The work is focused on the feature extraction step that is regarded as the most important one in the classification process.

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Paper Citation


in Harvard Style

Lhotska L., Gerla V., Bukartyk J., Krajca V. and Petranek S. (2008). USING WAVELET TRANSFORM FOR FEATURE EXTRACTION FROM EEG SIGNAL . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 236-241. DOI: 10.5220/0001062002360241


in Bibtex Style

@conference{biosignals08,
author={Lenka Lhotska and Vaclav Gerla and Jiri Bukartyk and Vladimir Krajca and Svojmil Petranek},
title={USING WAVELET TRANSFORM FOR FEATURE EXTRACTION FROM EEG SIGNAL},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={236-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001062002360241},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - USING WAVELET TRANSFORM FOR FEATURE EXTRACTION FROM EEG SIGNAL
SN - 978-989-8111-18-0
AU - Lhotska L.
AU - Gerla V.
AU - Bukartyk J.
AU - Krajca V.
AU - Petranek S.
PY - 2008
SP - 236
EP - 241
DO - 10.5220/0001062002360241