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Authors: Lenka Lhotska 1 ; Vaclav Gerla 1 ; Jiri Bukartyk 1 ; Vladimir Krajca 2 and Svojmil Petranek 2

Affiliations: 1 Gerstner Laboratory, Czech Technical University in Prague, Czech Republic ; 2 University Hospital Bulovka, Czech Republic

ISBN: 978-989-8111-18-0

Keyword(s): EEG processing, wavelet transform, feature extraction.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Soft Computing

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 several formats:
Lhotska L.; Gerla V.; Bukartyk J.; Krajca V.; Petranek S. and (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

@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},
}

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

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