Multi-channel linear descriptors for event-related EEG collected in brain computer interface.

TitleMulti-channel linear descriptors for event-related EEG collected in brain computer interface.
Publication TypeJournal Article
Year of Publication2006
AuthorsPei, X-M, Zheng, SD, Xu, J, Bin, G-yu, Wang, Z
JournalJ Neural Eng
Volume3
Issue1
Pagination52-8
Date Published03/2006
ISSN1741-2560
KeywordsAlgorithms, Electroencephalography, Evoked Potentials, Motor, Humans, Imagination, Motor Cortex, Movement, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, User-Computer Interface
Abstract By three multi-channel linear descriptors, i.e. spatial complexity (omega), field power (sigma) and frequency of field changes (phi), event-related EEG data within 8-30 Hz were investigated during imagination of left or right hand movement. Studies on the event-related EEG data indicate that a two-channel version of omega, sigma and phi could reflect the antagonistic ERD/ERS patterns over contralateral and ipsilateral areas and also characterize different phases of the changing brain states in the event-related paradigm. Based on the selective two-channel linear descriptors, the left and right hand motor imagery tasks are classified to obtain satisfactory results, which testify the validity of the three linear descriptors omega, sigma and phi for characterizing event-related EEG. The preliminary results show that omega, sigma together with phi have good separability for left and right hand motor imagery tasks, which could be considered for classification of two classes of EEG patterns in the application of brain computer interfaces.
DOI10.1088/1741-2560/3/1/006
Alternate JournalJ Neural Eng
PubMed ID16510942
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