Frequency component selection for an ECoG-based brain-computer interface

Autor: R, Scherer, B, Graimann, J E, Huggins, S P, Levine, G, Pfurtscheller
Rok vydání: 2003
Předmět:
Zdroj: Biomedizinische Technik. Biomedical engineering. 48(1-2)
ISSN: 0013-5585
Popis: The aim of the present study was to investigate the most significant frequency components in electrocorticogram (ECoG) recordings in order to operate a brain computer interface (BCI). For this purpose the time-frequency ERD/ERS map and the distinction sensitive learning vector quantization (DSLVQ) are applied to ECoG from three subjects, recorded during a self-paced finger movement. The results show that the ERD/ERS pattern found in ECoG generally matches the ERD/ERS pattern found in EEG recordings, but has an increased prevalence of frequency components in the beta range.
Databáze: OpenAIRE