A nonlinear Bayesian filtering framework for ECG denoising

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 12, 2007, Pages 2172-2185

  Sameni, Reza ^a,b   Shamsollahi, Mohammad B ^a   Jutten, Christian ^b   Clifford, Gari D ^c  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^b GRENOBLE INSTITUTE OF TECHNOLOGY   (France)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Adaptive filtering; ECG denoising; Kalman filtering; Model based filtering; Nonlinear Bayesian filtering

Indexed keywords

ADAPTIVE FILTERING; BANDPASS FILTERS; KALMAN FILTERS; NONLINEAR FILTERING; PARAMETER ESTIMATION; SIGNAL TO NOISE RATIO;

ECG DENOISING; MODEL BASED FILTERING; NONLINEAR BAYESIAN FILTERING;

ELECTROCARDIOGRAPHY;

ADAPTATION; ARTICLE; AUTOMATION; BAYES THEOREM; ELECTROCARDIOGRAM; FILTRATION; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; RECORDING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 36348946459     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.897817     Document Type: Article

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