• Qinghua Zhang, Alfredo Illanes Manriquez, Claire Médigue, Yves Papelier, and Michel Sorine.
• IRISA, Campus de Beaulieu, 35042 Rennes, France. zhang@irisa.fr
• IEEE Trans Biomed Eng. 2006 Dec 1;53(12 Pt 1):2544-52.

AbstractThe purpose of this paper is to propose a new algorithm for T-wave end location in electrocardiograms, mainly through the computation of an indicator related to the area covered by the T-wave curve. Based on simple assumptions, essentially on the concavity of the T-wave form, it is formally proved that the maximum of the computed indicator inside each cardiac cycle coincides with the T-wave end. Moreover, the algorithm is robust to acquisition noise, to wave form morphological variations and to baseline wander. It is also computationally very simple: the main computation can be implemented as a simple finite impulse response filter. When evaluated with the PhysioNet QT database in terms of the mean and the standard deviation of the T-wave end location errors, the proposed algorithm outperforms the other algorithms evaluated with the same database, according to the most recent available publications up to our knowledge.

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