Title :
Detection of ERP and ERD/ERS patterns in single ECoG channels
Author :
Graimann, B. ; Huggins, J.E. ; Levine, S.P. ; Pfurtscheller, G.
Author_Institution :
Dept. of Med. Informatics, Graz Univ. of Technol., Austria
Abstract :
Wavelet packet analysis and a genetic algorithm were used to detect movement-related patterns in single channel electrocorticogram (ECoG). Detection accuracies of more than 90% hits and less than 10% false positives were found. The findings show that the detection of movement-related patterns in ECoG data can be used to reliably provide switch control directly by the brain and is therefore very suitable as the basis of a direct brain interface.
Keywords :
genetic algorithms; medical signal processing; signal detection; user interfaces; wavelet transforms; BCI; ECoG data; ERD/ERS patterns; ERP detection; brain computer interface; detection accuracies; direct brain interface; event-related desynchronization; genetic algorithm; movement-related patterns; single ECoG channels; single channel electrocorticogram; switch control; wavelet packet analysis; Algorithm design and analysis; Biomedical engineering; Biomedical informatics; Brain computer interfaces; Enterprise resource planning; Genetic algorithms; Pattern analysis; Switches; Wavelet analysis; Wavelet packets;
Conference_Titel :
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN :
0-7803-7579-3
DOI :
10.1109/CNE.2003.1196903
