DocumentCode :
2085694
Title :
Recursive channel selection techniques for brain computer interfaces
Author :
Oliver, Gabriel ; Sunehag, P. ; Gedeon, Tom
Author_Institution :
Res. Sch. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
1753
Lastpage :
1756
Abstract :
Automated channel selection allows the dimension of EEG data to be reduced without expert knowledge. We introduce Recursive Channel Insertion, an extension to Recursive Channel Elimination, which dramatically reduces calculation time with no loss of accuracy. Furthermore we propose Repeated Recursive Channel Insertion, which shows an improvement in accuracy over the previous methods when tested on a standard dataset.
Keywords :
brain-computer interfaces; electroencephalography; medical signal processing; EEG data; automated channel selection; brain computer interfaces; recursive channel elimination; recursive channel selection techniques; repeated recursive channel insertion; Accuracy; Brain computer interfaces; Conferences; Electroencephalography; Feature extraction; Support vector machines; Training data; Algorithms; Brain-Computer Interfaces; Electroencephalography; Humans;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346288
Filename :
6346288
Link To Document :
بازگشت