Literature DB >> 23714085

f-Wave suppression method for improvement of locating T-Wave ends in electrocardiograms during atrial fibrillation.

Xiaochuan Du1, Nini Rao, Feng Ou, Guogong Xu, Lixue Yin, Gang Wang.   

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. ©2013, Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2013        PMID: 23714085      PMCID: PMC6932345          DOI: 10.1111/anec.12034

Source DB:  PubMed          Journal:  Ann Noninvasive Electrocardiol        ISSN: 1082-720X            Impact factor:   1.468


  19 in total

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Review 5.  Electrocardiology of atrial fibrillation. Current knowledge and future challenges.

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Authors:  A Ghaffari; M R Homaeinezhad; M Akraminia; M Atarod; M Daevaeiha
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8.  A multidifferentiator-based approach to the reliable determination of T-wave offset in electrocardiograms.

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Journal:  J Electrocardiol       Date:  2011-01-26       Impact factor: 1.438

9.  A principal component regression approach for estimation of ventricular repolarization characteristics.

Authors:  Jukka Antero Lipponen; Mika P Tarvainen; Tomi Laitinen; Tiina Lyyra-Laitinen; Pasi A Karjalainen
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-05       Impact factor: 4.538

10.  A real-time ST-segment monitoring algorithm for implantable devices.

Authors:  R W Stadler; S N Lu; S D Nelson; L Stylos
Journal:  J Electrocardiol       Date:  2001       Impact factor: 1.438

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