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Evaluation of a QT ...
Evaluation of a QT Adaptation Time Estimator for ECG Exercise Stress Test in Controlled Simulation
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- Perez, Cristina (author)
- University of Zaragoza
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- Pueyo, Esther (author)
- CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN),University of Zaragoza
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- Martinez, Juan Pablo (author)
- University of Zaragoza,CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN)
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- Sornmo, Leif (author)
- Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: Teknik för hälsa,LTH profilområden,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: Engineering Health,LTH Profile areas,Faculty of Engineering, LTH
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- Laguna, Pablo (author)
- University of Zaragoza,CIBER Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN)
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(creator_code:org_t)
- 2023
- 2023
- English.
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In: Computing in Cardiology, CinC 2023. - 2325-8861 .- 2325-887X. - 9798350382525
- Related links:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.2...
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Abstract
Subject headings
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- Slowed adaptation of the QT interval to sudden abrupt heart rate (HR) changes has been identified as a marker of ventricular arrhythmic risk. However, abrupt HR changes are difficult to induce in patients. Quantifying the QT adaptation time in gradual HR changes, as observed in ECGs recording during an exercise stress test, has been recently proposed. The time lag between the QT series and an instantaneous memoryless HR-dependent QT series along stress test was computed as QT memory. Here, this method was evaluated in a control scenario using simulated exercise stress test ECG signals presenting different QT adaptation times. The method robustness was studied by contaminating the ECGs with muscular noise (MN) signals with different Signal-to-Noise ratio (SNR) values, either synthetic or extracted from real recordings. We found that delineation of the T-wave end point in the first transformed lead from Periodic Component Analysis offers the best performance for low SNR. Moreover, we confirmed that the estimator provides an unbiased estimate of the QT memory introduced in the simulations for the studied range of SNR values (25 to 50 dB).
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk laboratorie- och mätteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Laboratory and Measurements Technologies (hsv//eng)
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