Performance Evaluation of Methods for Correcting Ocular Artifacts in Electroencephalographic (EEG) Recordings

Murielle Kirkove, Clémentine François, Aurélie Libotte, Jacques G. Verly

Abstract

The presence of ocular artifacts (OA) due to eye movements and eye blinks is a major problem for the analysis of electroencephalographic (EEG) recordings in most applications. A large variety of methods (algorithms) exist for detecting or/and correcting OA's. We identified the most promising methods, implemented them, and compared their performance for correctly detecting the presence of OA's. These methods are based on signal processing “tools” that can be classified into three categories: wavelet transform, adaptive filtering, and blind source separation. We evaluated the methods using EEG signals recorded from three healthy persons subjected to a driving task in a driving simulator. We performed a thorough comparison of the methods in terms of the usual performances measures (sensitivity, specificity, and ROC curves), using our own manual scoring of the recordings as ground truth. Our results show that methods based on adaptive filtering such as LMS and RLS appear to be the best to successfully identify OA's in EEG recordings.

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Paper Citation


in Harvard Style

Kirkove M., François C., Libotte A. and G. Verly J. (2013). Performance Evaluation of Methods for Correcting Ocular Artifacts in Electroencephalographic (EEG) Recordings . 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 126-132. DOI: 10.5220/0004199101260132


in Bibtex Style

@conference{biosignals13,
author={Murielle Kirkove and Clémentine François and Aurélie Libotte and Jacques G. Verly},
title={Performance Evaluation of Methods for Correcting Ocular Artifacts in Electroencephalographic (EEG) Recordings},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={126-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004199101260132},
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 - Performance Evaluation of Methods for Correcting Ocular Artifacts in Electroencephalographic (EEG) Recordings
SN - 978-989-8565-36-5
AU - Kirkove M.
AU - François C.
AU - Libotte A.
AU - G. Verly J.
PY - 2013
SP - 126
EP - 132
DO - 10.5220/0004199101260132