P- and T-wave delineation in ECG signals using a bayesian approach and a partially collapsed gibbs sampler

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 12, 2010, Pages 2840-2849

  Lin, Chao ^a   Mailhes, Corinne ^a   Tourneret, Jean Yves ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Bayesian analysis; electrocardiogram; Markov chain Monte Carlo method

Indexed keywords

ACCURATE ESTIMATION; ANALYSIS WINDOWS; BAYESIAN ALGORITHMS; BAYESIAN ANALYSIS; BAYESIAN APPROACHES; BAYESIAN INFERENCE; CLASSICAL ALGORITHMS; ECG ANALYSIS; ECG SIGNALS; ELECTROCARDIOGRAM; ELECTROCARDIOGRAM SIGNAL; GIBBS SAMPLERS; MARKOV CHAIN MONTE CARLO METHOD; T WAVES; WAVE COMPONENTS; WAVE FORMS;

BAYESIAN NETWORKS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; INFERENCE ENGINES; MARKOV PROCESSES; SIGNAL DETECTION; SPEECH RECOGNITION;

MONTE CARLO METHODS;

ALGORITHM; ARTICLE; BAYESIAN LEARNING; ELECTROCARDIOGRAM; MATHEMATICAL ANALYSIS; MONTE CARLO METHOD; P WAVE; PROBABILITY; T WAVE; WAVEFORM;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; HUMANS; MARKOV CHAINS; MODELS, CARDIOVASCULAR; MONTE CARLO METHOD; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 78649297162     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2076809     Document Type: Article

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