Abstract
Increased spatio-temporal heterogeneity in ventricular repolarization is related to cardiac instabilities. Slowed adaptation of the QT interval to sudden abrupt changes in heart rate (HR), measured by the time constant of a first-order-like step response, has been identified as a marker of arrhythmic risk. Since abrupt HR changes are difficult to induce in patients, ramp-like HR variations observed in exercise stress test are considered in this work. The first-order-system time constant is estimated as the delay between the QT series response and the series of memoryless expected QT series from the instantaneous HR, ob-tained from a fitted hyperbolic regression model. The delay was estimated by minimizing the mean square error separately in the exercise and recovery phases. We applied this procedure to a subset of 251 patients of Tampere university hospital with different risk levels for Coronary Artery Disease (110 nonCAD, 39 low-risk, 12 mild-risk, 90 high-risk). The time constant values ranged from 17s to 49s, which are comparable with the time lags reported in other studies in response to step-like HR changes. The delays in exercise and recovery phases and the difference between these delays are markers with capacity for CAD risk stratification.
Original language | English |
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Title of host publication | 2020 Computing in Cardiology, CinC 2020 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 978-1-7281-7382-5 |
DOIs | |
Publication status | Published - 13 Sept 2020 |
Publication type | A4 Article in conference proceedings |
Event | Computing in cardiology - Rimini, Italy Duration: 13 Sept 2020 → 16 Sept 2020 Conference number: CinC 2020 |
Publication series
Name | Computing in Cardiology |
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Volume | 47 |
ISSN (Print) | 2325-8861 |
ISSN (Electronic) | 2325-887X |
Conference
Conference | Computing in cardiology |
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Country/Territory | Italy |
City | Rimini |
Period | 13/09/20 → 16/09/20 |
Funding
This work was supported by projects ERC-StG 638284 (European Research Council), PID2019-105674RB-I00 and PID2019-104881RB-I00 (Ministerio de Ciencia e In-novación) and project LMP124-18 and reference group T39-20R (Aragón Government cofunded by FEDER 2014-2020 ”Building Europe from Aragon”). Computations were performed using ICTS NANBIOSIS (HPC Unit at University of Zaragoza).
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- General Computer Science
- Cardiology and Cardiovascular Medicine