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| Research article summary (published 4 Feb 2006): |
Multi-channel linear descriptors for event-related EEG collected in brain computer interface.
Full 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.
Author information
Author/s: Pei, Xiao-mei (XM); Zheng, Chong-xun (CX); Xu, Jin (J); Bin, Guang-yu (GY); Wang, Hong-wu (HW);
Affiliation: Institute of Biomedical Engineering, Key laboratory of Biomedical Information Engineering of Education Ministry, Xi'an Jiaotong university, Xi'an 710049, People's Republic of China. pei(-atsign-)zy165.com
Journal and publication information
Publication Type: Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't
Journal: Journal of neural engineering (J Neural Eng), published in England. (Language: eng)
Reference: 2006-Mar; vol 3 (issue 1) : pp 52-8
Dates: Created 2006/03/02; Completed 2006/05/18; Revised 2006/11/15;
PMID: 16510942, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: 18 Feb 2009 00:00:00)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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