Ramírez, J;
Orini, M;
Pueyo, E;
Laguna, P;
(2018)
Quantification of t-wave morphological variability using time-warping methods.
In: Eskola, H and Väisänen, O and Viik, J and Hyttinen, J, (eds.)
EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017.
(pp. pp. 478-481).
Springer: Singapore.
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Abstract
The aim of this study is to quantify the variation of the T-wave morphology during a 24-hour electrocardiogram (ECG) recording. Two ECG-derived markers are presented to quantify T-wave morphological variability in the temporal, dw, and amplitude, da, domains. Two additional markers, dwNLand daNL, that only capture the non-linear component of dwand daare also proposed. The proposed markers are used to quantify T-wave time and amplitude variations in 500 24-hour ECG recordings from chronic heart failure patients. Additionally, two mean warped T-waves, used in the calculation of those markers, are proposed to compensate for the rate dependence of the T-wave morphology. Statistical analysis is used to evaluate the correlation between dw, dwNL, daand daNLand the maximum intra-subject RR range, ∆RR. Results show that the mean warped T-wave is able to compensate for the morphological differences due to RR dynamics. Moreover, the metrics dwand dwNLare correlated with ∆RR, but daand daNLare not. The proposed dwand dwNLquantify variations in the temporal domain of the T-wave that are correlated with the RR range and, thus, could possibly reflect the variations of dispersion of repolarization due to changes in heart rate.
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