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A Study on Stability Analysis of QT Interval Dynamics of ECG Using ARMAX Model

  • 2020
  • OriginalPaper
  • Chapter
Published in:
Authors
A. Jyothsana
J. Sivaraman
Published in
Electronic Systems and Intelligent Computing
Publisher
Springer Singapore

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Abstract

The stability analysis of Electrocardiogram (ECG) intervals helps in determining its response to various disturbances in the cardiac cycle. ARMAX (Autoregressive with Moving Average and Exogenous Input) modeling of QT Interval (QTI) using RR Interval (RRI) as exogenous input shows the dependency of ventricular repolarization on heart rate. This study predicts the QTI using the ARMAX model, to evaluate the stability of QTI dynamics and then, to identify the factors responsible for causing instabilities. One minute-long ECG signals were recorded from Normal sinus Rhythm (NSR) subjects and the QTI of each signal are then modeled using the ARMAX approach. The stability of QTI dynamics was determined using the pole-zero plot. The proposed ARMAX model was capable of detecting unstable QTI in NSR subject and the unstable QTI was mainly due to Heart Rate Variability (HRV) within one-minute ECG.

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Title
A Study on Stability Analysis of QT Interval Dynamics of ECG Using ARMAX Model
Authors
A. Jyothsana
J. Sivaraman
Copyright Year
2020
Publisher
Springer Singapore
Book
Electronic Systems and Intelligent Computing

Print ISBN: 978-981-15-7030-8

Electronic ISBN: 978-981-15-7031-5

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-7031-5_29
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