Quantification of t-wave morphological variability using time-warping methods
Resumen: 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, dw NL and da NL , 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, dw NL , da and da NL and 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 dw and dw NL are correlated with ¿RR, but da and da NL are not. The proposed dw and dw NL 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
DOI: 10.1007/978-981-10-5122-7_120
Año: 2017
Publicado en: IFMBE proceedings 65 (2017), 478-481
ISSN: 1680-0737

Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41998-R
Tipo y forma: Article (PostPrint)
Área (Departamento): Teoría de la Señal y Comunicaciones (Departamento de Ingeniería Electrónica y Comunicaciones)

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Exportado de SIDERAL (2018-06-13-12:29:21)

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