loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Murielle Kirkove ; Clémentine François ; Aurélie Libotte and Jacques G. Verly

Affiliation: University of Liège, Belgium

ISBN: 978-989-8565-36-5

Keyword(s): Electroencephalography, Ocular Artifact, Wavelet Transform, Adaptive Filtering, Blind Source Separation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Wavelet Transform

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. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.207.137.4

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@conference{biosignals13,
author={Murielle Kirkove. and Clémentine Fran\c{C}ois. 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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.