Application of Empirical Mode Decomposition and Teager energy operator to EEG signals for mental task classification

This paper presents a novel method for mental task classification from EEG signals using Empirical Mode Decomposition and Teager energy operator techniques on EEG data. The efficacy of these techniques for non-stationary and non-linear data has already been demonstrated, which therefore lend themsel...

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Veröffentlicht in:	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010-01, Vol.2010, p.4590-4593
Hauptverfasser:	Kaleem, M F, Sugavaneswaran, L, Guergachi, A, Krishnan, S
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Brain - physiopathology Brain Mapping - methods Cognition - physiology Conferences Electroencephalography Electroencephalography - methods Feature extraction Humans Indexes Signal analysis Task Performance and Analysis USA Councils Vectors
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