ECG Morphological Changes Due to Age and Heart Rate Variability

Kyriaki Kostoglou; Carl Böck

doi:10.1007/978-3-030-45096-0_40

ECG Morphological Changes Due to Age and Heart Rate Variability

Kyriaki Kostoglou
, Carl Böck

Institute of Signal Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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.

Original language	English
Title of host publication	Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers
Editors	Roberto Moreno-Díaz, Alexis Quesada-Arencibia, Franz Pichler
Publisher	Springer International Publishing
Pages	323-330
Number of pages	8
ISBN (Electronic)	978-3-030-45096-0
ISBN (Print)	9783030450953
DOIs	https://doi.org/10.1007/978-3-030-45096-0_40
Publication status	Published - Apr 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12014 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Fields of science

202036 Sensor systems
202 Electrical Engineering, Electronics, Information Engineering
202015 Electronics
202022 Information technology
202037 Signal processing

JKU Focus areas

Digital Transformation

Access to Document

10.1007/978-3-030-45096-0_40

Cite this

Kostoglou, K., & Böck, C. (2020). ECG Morphological Changes Due to Age and Heart Rate Variability. In R. Moreno-Díaz, A. Quesada-Arencibia, & F. Pichler (Eds.), Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers (pp. 323-330). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12014 LNCS). Springer International Publishing. https://doi.org/10.1007/978-3-030-45096-0_40

Kostoglou, Kyriaki ; Böck, Carl. / ECG Morphological Changes Due to Age and Heart Rate Variability. Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. editor / Roberto Moreno-Díaz ; Alexis Quesada-Arencibia ; Franz Pichler. Springer International Publishing, 2020. pp. 323-330 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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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Kostoglou, K & Böck, C 2020, ECG Morphological Changes Due to Age and Heart Rate Variability. in R Moreno-Díaz, A Quesada-Arencibia & F Pichler (eds), Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12014 LNCS, Springer International Publishing, pp. 323-330. https://doi.org/10.1007/978-3-030-45096-0_40

ECG Morphological Changes Due to Age and Heart Rate Variability. / Kostoglou, Kyriaki; Böck, Carl.
Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. ed. / Roberto Moreno-Díaz; Alexis Quesada-Arencibia; Franz Pichler. Springer International Publishing, 2020. p. 323-330 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12014 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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T1 - ECG Morphological Changes Due to Age and Heart Rate Variability

AU - Kostoglou, Kyriaki

AU - Böck, Carl

PY - 2020/4

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N2 - 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.

AB - 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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Kostoglou K, Böck C. ECG Morphological Changes Due to Age and Heart Rate Variability. In Moreno-Díaz R, Quesada-Arencibia A, Pichler F, editors, Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers. Springer International Publishing. 2020. p. 323-330. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-45096-0_40

ECG Morphological Changes Due to Age and Heart Rate Variability

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

LCM - Center for Symbiotic Mechatronics - Förderphase 1

Cite this

ECG Morphological Changes Due to Age and Heart Rate Variability

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

LCM - Center for Symbiotic Mechatronics - Förderphase 1

Cite this