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T-wave alternans detection using a Bayesian approach and a Gibbs sampler.
- Source :
-
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2011; Vol. 2011, pp. 5868-71. - Publication Year :
- 2011
-
Abstract
- The problem of detecting T-wave alternans (TWA) in ECG signals has received considerable attention in the biomedical community. This paper introduces a Bayesian model for the T waves contained in ECG signals. A block Gibbs sampler was recently studied to estimate the parameters of this Bayesian model (including wave locations, amplitudes and shapes). This paper shows that the samples generated by this Gibbs sampler can be used efficiently for TWA detection via different statistical tests constructed from odd and even T-wave amplitude samples. The proposed algorithm is evaluated on real ECG signals subjected to synthetic TWA and compared with two classical algorithms.
- Subjects :
- Bayes Theorem
Humans
Reproducibility of Results
Sample Size
Sensitivity and Specificity
Algorithms
Arrhythmias, Cardiac diagnosis
Arrhythmias, Cardiac physiopathology
Diagnosis, Computer-Assisted methods
Electrocardiography methods
Pattern Recognition, Automated methods
Signal Processing, Computer-Assisted
Subjects
Details
- Language :
- English
- ISSN :
- 2694-0604
- Volume :
- 2011
- Database :
- MEDLINE
- Journal :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Publication Type :
- Academic Journal
- Accession number :
- 22255674
- Full Text :
- https://doi.org/10.1109/IEMBS.2011.6091451