Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis

BioMedical Engineering Online

Volumn 10, Issue , 2011, Pages

  Turnip, Arjon ^a   Hong, Keum Shik ^a   Jeong, Myung Yung ^a  

^a Pusan National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE LAWS; BACKGROUND NOISE; BAND PASS; BRAIN AREAS; CLINICAL APPLICATION; CUT-OFF; DOWNSAMPLING; EEG SIGNALS; EXTERNAL NOISE; HIGH POTENTIAL; INDEPENDENT COMPONENTS; INTER-STIMULUS INTERVALS; MULTI-STAGE; NONLINEAR PRINCIPAL COMPONENT ANALYSIS; OBSERVED DATA; PERFORMANCE INDICES; PRINCIPAL COMPONENT ANALYSIS METHOD; REAL-TIME FEATURES; SEPARATION PERFORMANCE; SOURCE SIGNALS;

ALGORITHMS; BANDPASS FILTERS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; EXPERIMENTS; FEATURE EXTRACTION; MULTILAYER NEURAL NETWORKS; SIGNAL DETECTION; SILICATE MINERALS;

PRINCIPAL COMPONENT ANALYSIS;

ADULT; ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL NEURAL NETWORK; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; HUMAN; MALE; METHODOLOGY; NONLINEAR SYSTEM; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

ADULT; ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVENT-RELATED POTENTIALS, P300; HUMANS; MALE; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 80053172402     PISSN: 1475925X     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-10-83     Document Type: Article

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