P AND T WAVE DELINEATION AND WAVEFORM ESTIMATION IN ECG SIGNALS USING A BLOCK GIBBS SAMPLER
Presented by: Chao Lin, Author(s): Chao Lin, University of Toulouse, France; Georg Kail, Vienna University of Technology, Austria; Jean-Yves Tourneret, Corinne Mailhes, University of Toulouse, France; Franz Hlawatsch, Vienna University of Technology, Austria
The delineation of P and T waves is important for the interpretation of ECG signals. We propose a Bayesian detection-estimation algorithm for simultaneous P and T wave detection, delineation, and estimation. A block Gibbs sampler exploits the strong local dependency of 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.