Automatic detection of EEG artefacts arising from head movements using EEG and gyroscope signals
作者： Simon O’Regan , Stephen Faul , William Marnane
DOI: 10.1016/J.MEDENGPHY.2012.08.017
关键词:
摘要: Contamination of EEG signals by artefacts arising from head movements has been a serious obstacle in the deployment automatic neurological event detection systems ambulatory EEG. In this paper, we present work on categorizing these head-movement as one distinct class and using support vector machines to automatically detect their presence. The use additional physical detecting is also investigated means classifiers implemented with gyroscope waveforms. Finally, combination features extracted explored order design an algorithm which incorporates both physiological accurately head-movements.
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