Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection

IEEE International Workshop on Machine Learning for Signal Processing

Volumn , Issue , 2011, Pages

  Cong, Fengyu ^a   He, Zhaoshui ^b,c   Hämäläinen, Jarmo ^a   Cichocki, Andrzej ^b   Ristaniemi, Tapani ^a  

^a UNIVERSITY OF JYVÄSKYLÄ   (Finland)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Event related potential; independent principal component analysis; model order selection; number of sources; reliability; wavelet filter

Indexed keywords

BRAIN ACTIVITY; COMPONENT ANALYSIS; EEG RECORDING; EVENT RELATED POTENTIALS; HIGH-DENSITY; INDEPENDENT COMPONENTS; MODEL ORDER SELECTION; NOISE SUBSPACE; PRINCIPAL COMPONENTS; SIGNAL SPACES; SIGNAL SUB-SPACE; WAVELET FILTERS;

BRAIN; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; RELIABILITY; SIGNAL ANALYSIS; WAVELET DECOMPOSITION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 82455212554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2011.6064590     Document Type: Conference Paper

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