Limitations in the rapid extraction of evoked potentials using parametric modeling

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 5, 2012, Pages 1462-1471

  De Silva, A C ^a   Sinclair, N C ^a   Liley, D T J ^a  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Autoregressive (AR) processes; bioelectric potentials; simulation

Indexed keywords

AUTOREGRESSION; AUTOREGRESSIVE PROCESS; BRAINSTEM; EXOGENOUS INPUT; LATENCY VARIATIONS; LOW NOISE; PARAMETRIC MODELING; RAPID EXTRACTION; SIGNALTONOISE RATIO (SNR); SIMULATED MODEL; SIMULATION; STIMULUS INTENSITY; SYSTEMATIC STUDY; SYSTEMATIC VARIATION; TIME AVERAGES;

BRAIN; COMPUTER SIMULATION; ELECTROPHYSIOLOGY; REGRESSION ANALYSIS;

BIOELECTRIC POTENTIALS;

ADULT; ARTICLE; AUDITORY STIMULATION; AUTOREGRESSION WITH AN EXOGENOUS INPUT MODEL; EVOKED BRAIN STEM AUDITORY RESPONSE; FEMALE; HUMAN; HUMAN EXPERIMENT; LATENT PERIOD; MALE; NORMAL HUMAN; ROBUST EVOKED POTENTIAL ESTIMATOR; SIGNAL NOISE RATIO; STATISTICAL MODEL;

ADULT; ALGORITHMS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, AUDITORY, BRAIN STEM; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO;

EID: 84860377802     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2188527     Document Type: Article

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