Comparison of feature selection and classification methods for a brain-computer interface driven by non-motor imagery

Medical and Biological Engineering and Computing

Volumn 48, Issue 2, 2010, Pages 123-132

  Cabrera, Alvaro Fuentes ^a   Farina, Dario ^a   Dremstrup, Kim ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

Auditory imagery; Autoregressive modeling; Bayesian classifier; Brain computer interface; R 2; Spatial navigation imagery; Support vector machine; Wavelets

Indexed keywords

AUTOREGRESSIVE MODELING; BAYESIAN CLASSIFIER; CHANNEL SELECTION; CLASSIFICATION ACCURACY; EEG SIGNALS; EXHAUSTIVE SEARCH; FEATURE EXTRACTION AND CLASSIFICATION; FEATURE SELECTION AND CLASSIFICATION; GAUSSIAN KERNELS; MOTOR IMAGERY; MOTOR IMAGERY TASKS; OPTIMAL COMBINATION; SCALING FILTERS; SPATIAL NAVIGATION; SYSTEM-BASED; THREE CHANNEL; TRANSLATION ALGORITHMS;

BAYESIAN NETWORKS; CLASSIFIERS; DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; IMAGE RETRIEVAL; INTERFACES (COMPUTER); MOTORS; NAVIGATION; OPTICAL SENSORS; OPTIMIZATION; SUPPORT VECTOR MACHINES;

BRAIN COMPUTER INTERFACE;

ADULT; ARTICLE; BRAIN; COMMUNICATION AID; COMPARATIVE STUDY; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MALE; METHODOLOGY; PHYSIOLOGY; SIGNAL PROCESSING; VISUAL MEMORY;

ADULT; BRAIN; COMMUNICATION AIDS FOR DISABLED; EIDETIC IMAGERY; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE; YOUNG ADULT;

EID: 77649234847     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-009-0569-2     Document Type: Article

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