Multichannel EEG brain activity pattern analysis in time–frequency domain with nonnegative matrix factorization support

Abstract

A novel approach combining a time–frequency representation of brain activity in the form of recorded EEG signals together with nonnegative matrix factorization (NMF) post-processing section in brain computer interface (BCI) training paradigm is presented. Such a combination of two emerging signal analysis techniques enables us to find and enhance very small oscillations related to presented visual stimuli. Presented results confirm validity of the chosen approach.