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Volumn 1, Issue 3, 2004, Pages 142-150
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Neural network classification of autoregressive features from electroencephalogram signals for brain-computer interface design
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Author keywords
[No Author keywords available]
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Indexed keywords
ALGORITHMS;
BACKPROPAGATION;
DATA ACQUISITION;
ELECTROENCEPHALOGRAPHY;
FEATURE EXTRACTION;
LEAST SQUARES APPROXIMATIONS;
ADAPTIVE AUTOREGRESSIVE (AAP) COEFFICIENTS;
AUTOREGRESSIVE (AR) FEATURES;
BRAIN-COMPUTER INTERFACE (BCI);
LINEAR DISCRIMINANT ANALYSIS (LDA);
NEURAL NETWORKS;
ALGORITHM;
ANALYTIC METHOD;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BRAIN COMPUTER INTERFACE;
CONTROLLED STUDY;
DISCRIMINANT ANALYSIS;
ELECTROENCEPHALOGRAM;
HUMAN;
HUMAN EXPERIMENT;
MENTAL TASK;
PRIORITY JOURNAL;
SIGNAL NOISE RATIO;
AUTOMATED PATTERN RECOGNITION;
BRAIN;
CLINICAL TRIAL;
COGNITION;
COMPARATIVE STUDY;
COMPUTER INTERFACE;
ELECTROENCEPHALOGRAPHY;
EVOKED RESPONSE;
METHODOLOGY;
PHYSIOLOGY;
PSYCHOMOTOR PERFORMANCE;
REGRESSION ANALYSIS;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
ALGORITHMS;
BRAIN;
COGNITION;
ELECTROENCEPHALOGRAPHY;
EVOKED POTENTIALS;
HUMANS;
NEURAL NETWORKS (COMPUTER);
PATTERN RECOGNITION, AUTOMATED;
PSYCHOMOTOR PERFORMANCE;
REGRESSION ANALYSIS;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
USER-COMPUTER INTERFACE;
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EID: 19044396705
PISSN: 17412560
EISSN: None
Source Type: Journal
DOI: 10.1088/1741-2560/1/3/003 Document Type: Article |
Times cited : (77)
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References (23)
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