Talks and Poster Presentations (with Proceedings-Entry):
C. Lin, G. Kail, C. Mailhes, J.-Y. Tourneret, F. Hlawatsch:
"Segmentation des signaux ECG et caractérisation des ondes P et T à lŽaide dŽun échantillonneur de Gibbs par bloc";
Talk: XXIIIe Colloque GRETSI,
- 09-08-2011; in: "Proc. GRETSI-11",
The delineation of P and T waves is important for the medical interpretation of ECG signals. We propose a Bayesian algorithm for simultaneous detection, delineation, and estimation of P and T waves. A block Gibbs sampler exploits the strong local dependencies in ECG signals by imposing block constraints on the P and T wave locations. The proposed algorithm is evaluated on the annotated QT database and compared with two classical algorithms.
ECG, P and T wave delineation, Bayesian analysis, Gibbs sampling, MCMC method
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.