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

Tomasz M. Rutkowski, Rafal Zdunek, Andrzej Cichocki

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)266-269
Number of pages4
JournalInternational Congress Series
Volume1301
DOIs
Publication statusPublished - Jul 2007
Externally publishedYes

Keywords

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

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