Sliding HDCA: Single-trial eeg classification to overcome and quantify temporal variability

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 22, Issue 2, 2014, Pages 201-211

  Marathe, Amar R ^a   Ries, Anthony J ^a   McDowell, Kaleb ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Brain computer interface (BCI); electroencephalography (EEG); hierarchical discriminant component analysis (HDCA) rapid serial visual presentation (RSVP); real world environment; single trial; sliding HDCA; Temporal variability

Indexed keywords

ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; LEARNING SYSTEMS;

RAPID SERIAL VISUAL PRESENTATIONS; REAL WORLD ENVIRONMENTS; SINGLE-TRIAL; SLIDING HDCA; TEMPORAL VARIABILITY;

BRAIN COMPUTER INTERFACE;

ADULT; ALGORITHM; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN COMPUTER INTERFACE; CLASSIFICATION; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; LEARNING; MALE; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; REACTION TIME; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING; STATISTICS;

ADULT; ALGORITHMS; AREA UNDER CURVE; BRAIN-COMPUTER INTERFACES; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; LEARNING; MALE; NEURAL NETWORKS (COMPUTER); PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE; REACTION TIME; REPRODUCIBILITY OF RESULTS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO;

EID: 84896451644     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2014.2304884     Document Type: Article

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