Learning event-related potentials (ERPs) from multichannel EEG recordings: A spatio-temporal modeling framework with a fast estimation algorithm

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 6959-6962

  Wu, Wei ^a   Gao, Shangkai ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN STATE; CLASSIFICATION ACCURACY; COMPUTATIONALLY EFFICIENT; ESTIMATION PERFORMANCE; EVENT RELATED POTENTIALS; FAST ESTIMATION; FAST MODEL; MODELING FRAMEWORKS; MULTICHANNEL EEG; MULTIVARIATE STATISTICAL MODELS; SIGNAL TO NOISE; SOURCE SPACE; SPATIAL FILTERS; SPATIO-TEMPORAL PROPERTIES; SPATIOTEMPORAL MODELING; SPATIOTEMPORAL PATTERNS;

ESTIMATION; MULTIVARIANT ANALYSIS; SIGNAL TO NOISE RATIO;

ALGORITHMS;

ADULT; ALGORITHM; ARTICLE; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; EVOKED RESPONSE; FEMALE; HUMAN; MALE; METHODOLOGY; NORMAL DISTRIBUTION; PATHOLOGY; REPRODUCIBILITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING; STATISTICAL MODEL; TIME;

ADULT; ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVENT-RELATED POTENTIALS, P300; EVOKED POTENTIALS; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; MALE; MODELS, STATISTICAL; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; TIME FACTORS;

EID: 84055214103     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091759     Document Type: Conference Paper

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