CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
A study on stability analysis of atrial repolarization variability using ARX model in sinus rhythm and atrial tachycardia ECGs
Authors
Philip Langley
Gurusamy Palanikumar
+4 more
Jayaraman Sivaraman
Gandhi Uma
M. Umapathy
Sangareddi Venkatesan
Publication date
11 October 2016
Publisher
'Elsevier BV'
Doi
Cite
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
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Supporting member
Repository@Hull - CRIS
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:hull-repository.worktribe....
Last time updated on 27/02/2018
University of Hull Institutional Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:hull-repository.worktribe....
Last time updated on 10/07/2023