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

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.

Andrzej Cichocki | Tomasz M. Rutkowski | Rafal Zdunek

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