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.
- Brain computer interface
- EEG analysis
- Empirical mode decomposition
- Nonnegative matrix factorization
- Time-frequency signal analysis