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Updated: Jul 2, 2026
Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
Published on: June 26, 2012
Frequency component selection for an ECoG-based brain-computer interface
R Scherer1, B Graimann, J E Huggins
1Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Austria. Reinhold.Scherer@TUGraz.at
Abstract:
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.
