Local polynomial modeling of time-varying autoregressive models with application to time-frequency analysis of event-related EEG

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 3 PART 1, 2011, Pages 557-566

  Zhang, Z G ^a   Hung, Y S ^a   Chan, S C ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Electroencephalogram; event related potential; local polynomial modeling (LPM); time frequency analysis (TFA); time varying autoregressive (TVAR) model

Indexed keywords

ELECTROENCEPHALOGRAM; EVENT RELATED POTENTIALS; LOCAL POLYNOMIAL MODELING (LPM); TIME-FREQUENCY ANALYSIS (TFA); TIME-VARYING AUTOREGRESSIVE (TVAR) MODEL;

BANDWIDTH; BIOELECTRIC PHENOMENA; ELECTROENCEPHALOGRAPHY; FREQUENCY ESTIMATION; LEAST SQUARES APPROXIMATIONS; POLYNOMIALS; POWER SPECTRAL DENSITY; TIME VARYING SYSTEMS;

TIME DOMAIN ANALYSIS;

ACCURACY; ANALYTICAL ERROR; ARTICLE; CORRELATION COEFFICIENT; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; FEMALE; FREQUENCY ANALYSIS; HUMAN; HUMAN EXPERIMENT; LOCAL POLYNOMIAL MODEL; MALE; MATHEMATICAL MODEL; NORMAL HUMAN; SIGNAL PROCESSING; SPECTROMETRY;

ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; HUMANS; MODELS, THEORETICAL; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 79952179749     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2089686     Document Type: Article

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