Abstract：
:Contamination of EEG signals by artefacts arising from head movements has been a serious obstacle in the deployment of automatic neurological event detection systems in ambulatory EEG. In this paper, we present work on categorizing these head-movement artefacts as one distinct class and on using support vector machines to automatically detect their presence. The use of additional physical signals in detecting head-movement artefacts is also investigated by means of support vector machines classifiers implemented with gyroscope waveforms. Finally, the combination of features extracted from EEG and gyroscope signals is explored in order to design an algorithm which incorporates both physical and physiological signals in accurately detecting artefacts arising from head-movements.
journal_name
Med Eng Physjournal_title
Medical engineering & physicsauthors
O'Regan S,Faul S,Marnane Wdoi
10.1016/j.medengphy.2012.08.017subject
Has Abstractpub_date
2013-07-01 00:00:00pages
867-74; discussion 867issue
7eissn
1350-4533issn
1873-4030pii
S1350-4533(12)00244-5journal_volume
35pub_type
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