Modelling of brain consciousness based on collaborative adaptive filters

Neurocomputing

Volumn 76, Issue 1, 2012, Pages 36-43

  Li, Ling ^a   Xia, Yili ^a   Jelfs, Beth ^a   Cao, Jianting ^b,c,d   Mandic, Danilo P ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b SAITAMA INSTITUTE OF TECHNOLOGY   (Japan)

^c RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^d EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Collaborative adaptive filtering; Coma; EEG; Quasi brain death (QBD); Signal nonlinearity

Indexed keywords

COLLABORATIVE ADAPTIVE FILTERING; COMA; CONVEX COMBINATIONS; DISCRETE STATE; EEG RECORDING; FILTERING ARCHITECTURES; MIXING PARAMETERS; NON-LINEARITY; NONLINEAR FEATURES; NOVEL METHODS; QUASI-BRAIN-DEATH (QBD); REAL TIME MODES; SIGNAL CHARACTERISTIC;

ADAPTIVE FILTERS; ELECTRIC FILTERS; ELECTROENCEPHALOGRAPHY;

ADAPTIVE FILTERING;

ARTICLE; BRAIN DEATH; COLLABORATIVE ADAPTIVE FILTER; COMA; CONSCIOUSNESS; ELECTROENCEPHALOGRAM; INFORMATION PROCESSING; NONLINEAR SYSTEM; PRIORITY JOURNAL; QUASI BRAIN DEATH; SIGNAL PROCESSING; STATISTICAL MODEL;

EID: 80555131093     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.05.038     Document Type: Article

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