Publications
2012
Daly, Ian; Pichiorri, Floriana; Faller, Josef; Kaiser, Vera; Kreilinger, Alex; Scherer, Reinhold; Müller-Putz, Gernot
What does clean EEG look like? Conference
Conf Proc IEEE Eng Med Biol Soc., IEEE, 2012, ISBN: 978-1-4244-4119-8.
Abstract | Links | BibTeX | Tags: Artefact removal, Differential evolution, EEG, Quality metrics
@conference{Daly2012b,
title = {What does clean EEG look like?},
author = {Ian Daly and Floriana Pichiorri and Josef Faller and Vera Kaiser and Alex Kreilinger and Reinhold Scherer and Gernot Müller-Putz},
url = {http://www.iandaly.co.uk/wp-content/uploads/2016/01/What-does-clean-EEG-look-like.pdf},
doi = {10.1109/EMBC.2012.6346834},
isbn = {978-1-4244-4119-8},
year = {2012},
date = {2012-06-01},
booktitle = {Conf Proc IEEE Eng Med Biol Soc.},
pages = {3963-3966},
publisher = {IEEE},
abstract = {Lack of a clear analytical metric for identifying artifact free, clean electroencephalographic (EEG) signals inhibits robust comparison of different artifact removal methods and lowers confidence in the results of EEG analysis. An algorithm is presented for identifying clean EEG epochs by thresholding statistical properties of the EEG. Thresholds are trained on EEG datasets from both healthy subjects and stroke / spinal cord injury patient populations via differential evolution (DE).},
keywords = {Artefact removal, Differential evolution, EEG, Quality metrics},
pubstate = {published},
tppubtype = {conference}
}
Lack of a clear analytical metric for identifying artifact free, clean electroencephalographic (EEG) signals inhibits robust comparison of different artifact removal methods and lowers confidence in the results of EEG analysis. An algorithm is presented for identifying clean EEG epochs by thresholding statistical properties of the EEG. Thresholds are trained on EEG datasets from both healthy subjects and stroke / spinal cord injury patient populations via differential evolution (DE).