Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/41625
Type of publication: research article
Type of publication (PDB): Straipsnis Clarivate Analytics Web of Science / Article in Clarivate Analytics Web of Science (S1)
Field of Science: Informatika / Informatics (N009)
Author(s): Kulvičius, Tomas;Tamošiūnaitė, Minija;Vaišnys, Rimas
Title: T wave alternans features for automated detection
Other Title: T dantelio požymių tinkamumo automatiniam alternacijos įvertinimui tyrimas
Is part of: Informatica: international journal. Vilnius : Institute of mathematics and informatics, 2005, Vol. 16, no.4
Extent: p. 587-602
Date: 2005
Keywords: T wave alternans;TWA detection;T wave detection;Correlation method;Spectral analysis;Automated analysis
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
Internet: https://www.mii.lt/informatica/pdf/INFO604.pdf
Affiliation(s): Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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