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f‐Wave Suppression Method for Improvement of Locating T‐Wave Ends in Electrocardiograms during Atrial Fibrillation
Authors:Xiaochuan Du M.S.  Nini Rao Ph.D.  Feng Ou M.S.  Guogong Xu M.S.  Lixue Yin M.D.  Gang Wang Ph.D.
Affiliation:1. School of Life Science and Technology, University of Electronic Science and Technology of China, , Chengdu, China;2. Cardiovascular department, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, , China;3. School of Electronic Engineering, University of Electronic Science and Technology of China, , Chengdu, China
Abstract:This article is to propose an algorithm for improving T‐wave ends location during atrial fibrillation (AF). The traditional algorithms do not take the irregular baseline fibrillation of AF into consideration, so their location accuracy is relatively low. Based on simple assumptions that AF is a random signal while T waves and QRS complexes are deterministic signals, we suggest a novel method to suppress f wave for improving location of T‐wave ends during AF. We firstly define a new cardiac cycle and then match R peaks and T peaks in the three adjacent cardiac cycles. Finally, we suppress the interference of the f wave by averaging. When evaluating with the PhysioNet QT database and simulated AF signals in terms of the mean and the standard deviation of the T‐wave ends location errors, the proposed algorithm improves the performance of existing popular methods. Besides, the clinical significance of the proposed method is illustrated.
Keywords:atrial fibrillation  f wave  electrocardiogram  T‐wave ends  location
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