Robust Detection of Premature Ventricular Contractions Using a Wave-Based Bayesian Framework

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 2, 2010, Pages 353-362

  Sayadi, Omid ^a   Shamsollahi, Mohammad B ^a   Clifford, Gari D ^b  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Characteristic waves; ECG; extended Kalman filter (EKF); premature ventricular contraction (PVC); signal fidelity; signal quality; wave based dynamical model

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; HEART VENTRICLE EXTRASYSTOLE; HUMAN; METHODOLOGY; NORMAL DISTRIBUTION; SIGNAL PROCESSING;

ALGORITHMS; BAYES THEOREM; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; HUMANS; NORMAL DISTRIBUTION; SIGNAL PROCESSING, COMPUTER-ASSISTED; VENTRICULAR PREMATURE COMPLEXES;

EID: 77950345052     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2009.2031243     Document Type: Article

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