T Wave Alternans Features for Automated Detection

Article type: Research Article

Authors: Kulvičius, Tomas | Tamošiūnaitė, Minija | Vaišnys, Rimas

Affiliations: Department of Applied Informatics, Vytautas Magnus University, Vileikos 8, 44404 Kaunas, Lithuania, e-mail: m.tamosiunaite@if.vdu.lt | Department of Electrical Engineering, Yale University, Becton Center, P.O. Box 208284, New Haven, CT 06520-8284, USA, e-mail: rimas.vaisnys@yale.edu

Abstract: T wave features suitable for automatic T wave alternans detection in low signal-to-noise ratio electrocardiograms are explored using a correlation-to-template-based algorithm for detecting T waves of variable duration. Amplitude and area features of T waves are found to be notably less sensitive to template selection than are duration features. T wave alternans features and measures which can be determined more stably provide better classification accuracy of patients with and without coronary artery lesions.

Keywords: T wave alternans, TWA detection, T wave detection, correlation method, spectral analysis, automated analysis

Journal: Informatica, vol. 16, no. 4, pp. 587-602, 2005