Conference Publication Details
Mandatory Fields
O’Regan S., Faul S., Marnane W.P.,
3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)
Automatic Detection of EEG artefacts arising from head movements using gyroscopes
Optional Fields
Electroencephalography EEG artefact detection feature extraction movement artefacts seizure gyroscopes Brain-Computer Interface Linear Discriminant Analysis Mutual Information Evaluation Function Support Vector Machines
Rome, Italy
The need for reliable detection of head movement artefacts in an ambulatory EEG system has been demonstrated in previous work. In this paper we propose the use of gyroscopes in detecting artefacts in EEG. A collection of features are extracted from the gyroscope signals and ranked using Mutual Information Evaluation Function. Linear Discriminant Analysis is subsequently used as a means of seperating between normal EEG and artefacts. A Support Vector Machine classifier is also applied to the gyroscope feature signals. Results indicate good separation between gyroscope features extracted from normal EEG and those extracted from artefacts arising from head movement, providing a strong argument for including gyroscope signals as features in the classification of head movement artefacts.
Grant Details
Science Foundation Ireland
Science Foundation Ireland SFI/07/SRC/I1169