Quantification of T-wave Morphological Variability Using Time-warping Methods [chapter]

Julia Ramírez, Michele Orini, Esther Pueyo, Pablo Laguna
2017 International Federation for Medical and Biological Engineering Proceedings  
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, d w , and amplitude, d a , domains. Two additional markers, d NL w and d NL a , that only capture the non-linear component of d w and d a are also proposed. The proposed markers are used to quantify Twave time and amplitude variations in 500 24-hour ECG recordings from
more » ... G 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 d w , d NL w , d a and d NL a 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 d w and d NL w are correlated with ∆RR, but d a and d NL a are not. The proposed d w and d NL w 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.
doi:10.1007/978-981-10-5122-7_120 fatcat:7nil5mqq5fhbfadxoq52ge5tcm