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.
Lecture Information
Recorded: | 2011-05-24 11:15 - 11:35, Club B |
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Added: | 15. 6. 2011 13:21 |
Number of views: | 37 |
Video resolution: | 1024x576 px, 512x288 px |
Video length: | 0:22:31 |
Audio track: | MP3 [7.70 MB], 0:22:31 |
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