Real-Time Signal Processing Towards an EEG-Based Human-Computer Interface
"Real-Time Signal Processing Towards an EEG-Based Human-Computer Interface", (1997)
Annette M. Taberner and Armando B. Barreto
ABSTRACT: The foundation and layout of a Digital Signal Processing system capable of interpreting voluntary changes in the Electroencephalogram (EEG) of a subject are described. The use of the Goertzel Algorithm for the detection of the "idling rhythms" of the visual and motor cortices of the human brain is proposed as the basic building block of a "Brain-Computer Interface". Details of the real-time implementation of this detection approach in TMS320C30 assembly language and the experimental results obtained with the real-time system are presented.