Quantification of T-wave Morphological Variability Using Time-warping Methods
Ramírez, J. ; Orini, M. ; Pueyo, E. ; Laguna, P.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, dNLw and dNLa, that only capture the non-linear component of dw and da are 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, dNLw, da and dNLa and the maximum intra-subject RR range, ΔRR. Results show that the mean warped T-wave is able to compensate for the morphological differences due to RR dynamics. Moreover, the metrics dw and dNLw are correlated with ΔRR, but da and dNLa are not. The proposed dw and dNLw quantify 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.
Idioma: Inglés
Año: 2017
En: European Medical and Biological Engineering Confernce (2017)
Financiación: info:eu-repo/grant/Agreement/ES/MINECO TIN2013-41998- R
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Record created 2018-05-23, last modified 2018-06-13
