Exploring two novel features for EEG-based brain-computer interfaces: Multifractal cumulants and predictive complexity

Neurocomputing

Volumn 79, Issue , 2012, Pages 87-94

  Brodu, Nicolas ^a   Lotte, Fabien ^b,c   Lécuyer, Anatole ^c  

^a UNIVERSITÉ DE RENNES 1   (France)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^c INRIA   (France)

Author keywords

BCI; Classification; Feature extraction; Multifractal; Predictive complexity

Indexed keywords

BCI; CLASSIFICATION PERFORMANCE; CUMULANTS; EEG SIGNALS; FEATURE-BASED; GOLD STANDARDS; MULTI FRACTALS; PREDICTIVE COMPLEXITY;

CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; FEATURE EXTRACTION; FRACTALS; INTERFACES (COMPUTER); TIME SERIES;

BRAIN COMPUTER INTERFACE;

ANALYTICAL PARAMETERS; ARTICLE; BRAIN COMPUTER INTERFACE; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EVALUATION; GOLD STANDARD; IMAGERY; INFORMATION PROCESSING; MOTOR ACTIVITY; MULTIFRACTAL CUMULANT; PREDICTION; PREDICTIVE COMPLEXITY; PREDICTIVE VALUE; PRIORITY JOURNAL; PROCESS DESIGN; SIGNAL PROCESSING; SIGNAL TRANSDUCTION; STEADY STATE; TIME SERIES ANALYSIS; VALIDATION PROCESS;

EID: 83955165315     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.10.010     Document Type: Article

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