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Assessing a Warping Methodology for the Identification of Increased Cardiovascular Risk Based on the HR Profile Morphology

Ramirez, J; Van Duijvenboden, S; Laguna, P; Pueyo, E; Tinker, A; Lambiase, PD; Munroe, PB; (2018) Assessing a Warping Methodology for the Identification of Increased Cardiovascular Risk Based on the HR Profile Morphology. In: Dassen, Willem and Heijman, Jordi, (eds.) Proceedings of Computing in Cardiology 2018 (CinC 2018). IEEE: New York, USA. Green open access

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Abstract

Heart rate (HR) response to exercise and recovery are strong predictors of cardiovascular mortality, but the HR profile morphology may add useful information for the identification of subjects at risk. Our aim was to characterise the HR profile morphology and assess its cardiovascular risk predictive value. 1-lead ECG recordings of 17,691 participants from the general population in an exercise stress test from the UK Biobank study were analyzed. A methodology based on time warping of the HR profile was applied to compute the average HR profile morphology along the exercise test. Then, two series of warping-based morphological differences in amplitude, da, and time, dw, were calculated by comparing each individual HR profile morphology with respect to this average HR profile. Subjects who suffered one or more cardiovascular events showed significantly lower values of da than survivors (median of -10.5% vs -7.5%, p=0.009). Also, da was significantly associated with cardiovascular mortality in a Cox model after adjusting for clinical variables, resting HR, difference between peak and resting HR, or between peak and recovery HR after a follow-up period of five years (p<0.0001). Individuals at risk show HR dynamics with slower adaptation to exercise than healthier subjects, possibly due to autonomic nervous system dysfunction.

Type: Proceedings paper
Title: Assessing a Warping Methodology for the Identification of Increased Cardiovascular Risk Based on the HR Profile Morphology
ISBN-13: 9781728109589
Open access status: An open access version is available from UCL Discovery
DOI: 10.22489/CinC.2018.039
Publisher version: https://doi.org/10.22489/CinC.2018.039
Language: English
Additional information: Since volume 33 (2006), CinC has been an open-access publication, in which copyright in each article is held by its authors, who grant permission to copy and redistribute their work with attribution, under the terms of the Creative Commons Attribution License. Earlier volumes appear here courtesy of the IEEE.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Clinical Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine > MRC Unit for Lifelong Hlth and Ageing
URI: https://discovery.ucl.ac.uk/id/eprint/10080054
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