Title :
Multi-channel analysis of human event-related cortical potentials for the development of a direct brain interface
Author :
Balbale, U.H. ; Huggins, J.E. ; BeMent, S.L. ; Levine, S.P.
Author_Institution :
Dept. of Biomed. Eng., Michigan Univ., Ann Arbor, MI, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
Electrocorticogram (ECoG) from neighboring electrode locations contains a certain amount of redundancy. In order to take advantage of this redundancy to improve event-related potential (ERP) detection accuracy, four methods of multi-channel combination were tested. The best performance was achieved with the cross-correlelogram averaging method, which improved detection on 65% of electrode combinations
Keywords :
electroencephalography; handicapped aids; medical signal detection; medical signal processing; ERP; brain-computer interface; communication system; cross-correlelogram averaging method; direct brain interface development; electrode combinations; event-related potential detection accuracy improvement; human event-related cortical potentials; multichannel combination; neighboring electrode locations; patients with severe motor impairments; redundancy; Biomedical electrodes; Biomedical engineering; Enterprise resource planning; Epilepsy; Humans; Patient monitoring; Surgery; Testing; Tongue; Voting;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802525
