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An Index for T-wave Pointwise Amplitude Variability Quantification

Ramirez, J; Orini, M; Tucker, JD; Pueyo, E; Laguna, P; (2016) An Index for T-wave Pointwise Amplitude Variability Quantification. In: Murray, A, (ed.) Computing in Cardiology 2016. (pp. pp. 49-52). Computing in Cardiology: Vancouver, Canada. Green open access

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Abstract

The comparison between the pointwise amplitude of different T-waves provides insight into ventricular repolarization liability. However, T-wave pointwise amplitude variability can be confounded by time-domain variability. We, first, compared two algorithms for removing (warping) time-domain variability, one using the original and another one using a transformed T-wave (SRSF). We, next, compared the robustness against noise of two markers, dy and da, of pointwise amplitude variability, after warping the underlying temporal variability with the preferred warping algorithm. dy was obtained from the transformed T-waves while da was proposed in this work and was derived from the original T-waves. We, finally, used the most robust marker to measure the T-wave pointwise amplitude variability between every T-wave recorded during a Tilt test and their mean T-wave. Results showed that the preferred warping algorithm was the SRSF because it is not affected by differences between the amplitudes of the original T-waves. In addition, the marker da presented lower relative error values than dy for every level of noise. The analysis of electrocardiogram records showed that da was significantly lower during the tilt than in supine position (- 5.5 % vs 6.5 %, p<0.01). In conclusion, da robustly quantifies physiological variabilities of the T-wave amplitude, showing its potential to be used as an arrhythmic risk predictor in future clinical situations.

Type: Proceedings paper
Title: An Index for T-wave Pointwise Amplitude Variability Quantification
Event: 43rd Computing in Cardiology Conference (CinC)
Location: Vancouver, CANADA
Dates: 11 September 2016 - 14 September 2016
Open access status: An open access version is available from UCL Discovery
DOI: 10.22489/CinC.2016.016-137
Publisher version: http://dx.doi.org/10.22489/CinC.2016.016-137
Language: English
Additional information: 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. (https://creativecommons.org/licenses/by/2.5/)
Keywords: Science & Technology, Life Sciences & Biomedicine, Technology, Cardiac & Cardiovascular Systems, Computer Science, Interdisciplinary Applications, Engineering, Biomedical, Cardiovascular System & Cardiology, Computer Science, Engineering
UCL classification: UCL
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 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 > 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/10047002
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