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A study on stability analysis of atrial repolarization variability using ARX model in sinus rhythm and atrial tachycardia ECGs

Sivaraman, Jayaraman; Uma, Gandhi; Langley, Philip; Umapathy, M.; Venkatesan, Sangareddi; Palanikumar, Gurusamy

Authors

Jayaraman Sivaraman

Gandhi Uma

M. Umapathy

Sangareddi Venkatesan

Gurusamy Palanikumar



Abstract

© 2016 Elsevier Ireland Ltd Background The interaction between the PTa and PP interval dynamics from the surface ECG is seldom explained. Mathematical modeling of these intervals is of interest in finding the relationship between the heart rate and repolarization variability. Objective The goal of this paper is to assess the bounded input bounded output (BIBO) stability in PTa interval (PTaI) dynamics using autoregressive exogenous (ARX) model and to investigate the reason for causing instability in the atrial repolarization process. Methods Twenty-five male subjects in normal sinus rhythm (NSR) and ten male subjects experiencing atrial tachycardia (AT) were included in this study. Five minute long, modified limb lead (MLL) ECGs were recorded with an EDAN SE-1010 PC ECG system. The number of minute ECGs with unstable segments (N us ) and the frequency of premature activation (PA) (i.e. atrial activation) were counted for each ECG recording and compared between AT and NSR subjects. Results The instability in PTaI dynamics was quantified by measuring the numbers of unstable segments in ECG data for each subject. The unstable segments in the PTaI dynamics were associated with the frequency of PA. The presence of PA is not the only factor causing the instability in PTaI dynamics in NSR subjects, and it is found that the cause of instability is mainly due to the heart rate variability (HRV). C onclusion The ARX model showed better prediction of PTa interval dynamics in both groups. The frequency of PA is significantly higher in AT patients than NSR subjects. A more complex model is needed to better identify and characterize healthy heart dynamics.

Journal Article Type Article
Publication Date 2016-12
Journal Computer methods and programs in biomedicine
Print ISSN 0169-2607
Electronic ISSN 1872-7565
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 137
Pages 341-351
Institution Citation Sivaraman, J., Uma, G., Langley, P., Umapathy, M., Venkatesan, S., & Palanikumar, G. (2016). A study on stability analysis of atrial repolarization variability using ARX model in sinus rhythm and atrial tachycardia ECGs. Computer Methods and Programs in Biomedicine, 137, 341-351. https://doi.org/10.1016/j.cmpb.2016.10.005
DOI https://doi.org/10.1016/j.cmpb.2016.10.005
Keywords Atrial repolarization dynamics; BIBO stability; Heart rate variability; Premature activation; PTa interval (PTaI)
Publisher URL http://www.sciencedirect.com/science/article/pii/S016926071630445X
Copyright Statement ©2017, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract
Additional Information This article is maintained by: Elsevier; Article Title: A study on stability analysis of atrial repolarization variability using ARX model in sinus rhythm and atrial tachycardia ECGs; Journal Title: Computer Methods and Programs in Biomedicine; CrossRef DOI link to publisher maintained version: http://dx.doi.org/10.1016/j.cmpb.2016.10.005; Content Type: article; Copyright: © 2016 Elsevier Ireland Ltd. All rights reserved.

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Copyright Statement
©2017, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/





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