Adaptive semi-supervised classification to reduce intersession non-stationarity in multiclass motor imagery-based brain-computer interfaces

Neurocomputing

Volumn 159, Issue 1, 2015, Pages 186-196

  Nicolas Alonso, Luis F ^a   Corralejo, Rebeca ^a   Gomez Pilar, Javier ^a   Álvarez, Daniel ^a   Hornero, Roberto ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Adaptive classification; Brain computer interfaces; Electroencephalography; Non stationarity; Semi supervised classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; INTERFACES (COMPUTER); SOCIAL NETWORKING (ONLINE); SUPERVISED LEARNING;

ADAPTIVE CLASSIFICATION; BRAIN COMPUTER INTERFACES (BCIS); CLASSIFICATION ALGORITHM; ELECTROENCEPHALOGRAM (EEG) DATUM; KERNEL DISCRIMINANT ANALYSIS; NON-STATIONARITIES; SEMI- SUPERVISED LEARNING; SEMI-SUPERVISED CLASSIFICATION;

BRAIN COMPUTER INTERFACE;

ADAPTIVE PROCESSING STAGE; ADAPTIVE SEMI SUPERVISED CLASSIFICATION ALGORITHM; ARTICLE; BRAIN COMPUTER INTERFACE; CLASSIFICATION; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; EXPECTATION MAXIMIZATION BASED DISCRIMINANT ANALYSIS; HUMAN; INTERMETHOD COMPARISON; KERNEL DISCRIMINANT ANALYSIS; MULTICLASS MOTOR IMAGERY BASED BRAIN COMPUTER INTERFACE; NORMAL HUMAN; POOLED MEAN; PRIORITY JOURNAL; SEQUENTIAL UPDATING SEMI SUPERVISED SPECTRAL REGRESSION KERNEL DISCRIMINANT ANALYSIS; SPECTRAL REGRESSION KERNEL DISCRIMINANT ANALYSIS; STATISTICAL ANALYSIS;

EID: 84933279681     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.02.005     Document Type: Article

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