Publications
2013

Daly, Ian; Billinger, Martin; Scherer, Reinhold; Muller-Putz, Gernot
On the automated removal of artifacts related to head movement from the EEG Journal Article
In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 21, no. 3, pp. 427 - 434, 2013, ISSN: 1534-4320.
Abstract | Links | BibTeX | Tags: Artefact removal, EEG, EMG, Head movement, ICA
@article{Daly2013headArtifacts,
title = {On the automated removal of artifacts related to head movement from the EEG},
author = {Ian Daly and Martin Billinger and Reinhold Scherer and Gernot Muller-Putz},
url = {http://www.iandaly.co.uk/newDesign2016/wp-content/uploads/2016/01/On-the-automated-removal-of-artifacts-related-to-head-movement-from-the-EEG.pdf},
doi = {10.1109/TNSRE.2013.2254724},
issn = {1534-4320},
year = {2013},
date = {2013-05-01},
journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
volume = {21},
number = {3},
pages = {427 - 434},
abstract = {Contamination of the electroencephalogram (EEG) by artifacts related to head movement is a major cause of reduced signal quality. This is a problem in both neuroscience and other uses of the EEG. To attempt to reduce the influence, on the EEG, of artifacts related to head movement, an accelerometer is placed on the head and independent component analysis is applied to attempt to separate artifacts which are statistically related to head movements. To evaluate the method, EEG and accelerometer measurements are made from 14 individuals with Cerebral palsy attempting to control a sensorimotor rhythm based brain-computer interface. Results show that the approach significantly reduces the influence of head movement related artifacts in the EEG.},
keywords = {Artefact removal, EEG, EMG, Head movement, ICA},
pubstate = {published},
tppubtype = {article}
}
Contamination of the electroencephalogram (EEG) by artifacts related to head movement is a major cause of reduced signal quality. This is a problem in both neuroscience and other uses of the EEG. To attempt to reduce the influence, on the EEG, of artifacts related to head movement, an accelerometer is placed on the head and independent component analysis is applied to attempt to separate artifacts which are statistically related to head movements. To evaluate the method, EEG and accelerometer measurements are made from 14 individuals with Cerebral palsy attempting to control a sensorimotor rhythm based brain-computer interface. Results show that the approach significantly reduces the influence of head movement related artifacts in the EEG.