Real- Time EEG Data Processing Using Independent Component Analysis (ICA)

Abstract

The paper proposes a real-time processing system for multichannel electroencephalogram (EEG) signals. The processing algorithm is based on independent component analysis. The algorithm is initially tested and simulated offline for functionality and performance verification. A Simulink discrete real-time design is then modeled based on the processing algorithm. Finally, we discuss some of the systems limitations as well as several options for translating the designed Simulink model to a real-time processing system.