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ECG Morphological Changes Due to Age and Heart Rate Variability

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Computer Aided Systems Theory – EUROCAST 2019 (EUROCAST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12014))

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Abstract

The electrocardiogram (ECG) constitutes one of the most useful diagnostic tools for evaluating the overall health of the heart. ECG interpretation involves the assessment of various heartbeat interval features, as well as ECG wave morphological patterns and variations. However, electrocardiographic alterations are associated with a multitude of factors, which sometimes are difficult to differentiate. In this paper, we propose a system identification based methodology that quantifies the dynamic effects of heart rate variability (HRV) and age on the ECG morphology. Specifically, samples of the ECG waveform of healthy young and elderly subjects were modeled as linear and nonlinear autoregressive processes (AR). The effects of HRV were investigated by considering the HRV time-series as an exogenous input to the system. Age-related ECG wave alterations were also examined by statistically comparing the differences in the predictive performance of the AR models in the two groups.

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Acknowledgements

This work has been supported by the “LCM – K2 Center for Symbiotic Mechatronics” within the framework of the Austrian COMET-K2 program.

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Authors and Affiliations

  1. Institute of Signal Processing, Johannes Kepler University, Linz, Austria

    Kyriaki Kostoglou & Carl Böck

Authors
  1. Kyriaki Kostoglou
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  2. Carl Böck
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Correspondence to Kyriaki Kostoglou .

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Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Kostoglou, K., Böck, C. (2020). ECG Morphological Changes Due to Age and Heart Rate Variability. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_40

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  • DOI: https://doi.org/10.1007/978-3-030-45096-0_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45095-3

  • Online ISBN: 978-3-030-45096-0

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