Estimates of Repolarization Dispersion From Electrocardiographic Measurements

Fuller, Matthew; Sándor, György; Punske, Bonnie B.; Taccardi, Bruno; MacLeod, Rob S.; Ershler, Philip R.; Green, Larry S.; Lux, Robert L.

doi:10.1161/01.cir.102.6.685

Cited by 86 publications

(70 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, QT d has not been further considered as a VRD index. In [45] isolated-perfused canine hearts were used to measure QT d and T wave width, T W . VRD values were computed after changing temperature, cycle length and activation sequence.…”

Section: ) Dispersion Of Repolarization Reflected On Ecg Intervalsmentioning

confidence: 99%

Techniques for Ventricular Repolarization Instability Assessment From the ECG

2016

View full text Add to dashboard Cite

Abstract-Instabilities in ventricular repolarization have been documented to be tightly linked to arrhythmia vulnerability. Translation of the information contained in the repolarization phase of the ECG into valuable clinical decision-making tools remains challenging. This work aims at providing an overview of the last advances in the proposal and quantification of ECG-derived indices that describe repolarization properties and whose alterations are related with threatening arrhythmogenic conditions. A review of the state-of-the-art is provided, spanning from the electrophysiological basis of ventricular repolarization to its characterization on the surface ECG through a set of temporal and spatial risk markers.Index Terms-Electrophysiological basis of the ECG, ECG waves, ECG intervals, repolarization instabilities, spatial and temporal ventricular repolarization dispersion, cardiac arrhythmias, biophysical modeling of the ECG, ECG signal processing, repolarization risk markers, T wave alternans, QT variability.

show abstract

Section: ) Dispersion Of Repolarization Reflected On Ecg Intervalsmentioning

confidence: 99%

Techniques for Ventricular Repolarization Instability Assessment From the ECG

2016

View full text Add to dashboard Cite

show abstract

“…Previous techniques developed to investigate cardiac repolarization from the surface ECG were based on interval repolarization durations and have been shown to reflect spatiotemporal repolarization heterogeneity [11,12], such as the QT interval, its corrected version [13], T-wave width [14], the distance from the peak to the end of the T wave (T pe interval) [15], the dynamic changes in the T pe interval with respect to the heart rhythm [16], the variability of the QT interval [3], the T-wave alternans [17], or the ST elevation [18]. However, these markers might not be able to capture both linear and non-linear T-wave morphological variations, and extracting such information may provide improved ventricular arrhythmic risk.…”

Section: Introductionmentioning

confidence: 99%

Variability of Ventricular Repolarization Dispersion Quantified by Time-Warping the Morphology of the T-Waves

Ramírez

Orini

Tucker

et al. 2017

IEEE Trans. Biomed. Eng.

109

View full text Add to dashboard Cite

Abstract-Objective: We propose two electrocardiogram (ECG)-derived markers of T-wave morphological variability in the temporal, dw, and amplitude, da, domains. Two additional markers, d NL w and d NL a , restricted to measure the non-linear information present within dw and da are also proposed. Methods: We evaluated the accuracy of the proposed markers in capturing T-wave time and amplitude variations in 3 situations: (1) In a simulated set up with presence of additive Laplacian noise, (2) when modifying the spatio-temporal distribution of electrical repolarization with an electro-physiological cardiac model and (3) in ECG records from healthy subjects undergoing a tilt table test. Results: The metrics dw, da, d NL w and d NL a followed T-wave time and amplitude induced variations under different levels of noise, were strongly associated with changes in the spatiotemporal dispersion of repolarization, and showed to provide additional information to differences in the heart rate, QT and Tpe intervals, and in the T-wave width and amplitude. Conclusion: The proposed ECG-derived markers robustly quantify T-wave morphological variability, being strongly associated with changes in the dispersion of repolarization. Significance: The proposed ECG-derived markers can help to quantify the variability in the dispersion of ventricular repolarization, showing a great potential to be used as arrhythmic risk predictors in clinical situations.

show abstract

“…VRD was strongly correlated with T W computed from the RMS series, but not with QT D (Fuller et al, 2000). Arini et al, proposed that T-wave widening can result from a result of combined dispersion between apex-base and transmural APD heterogeneities.…”

Section: T-wave Durationmentioning

confidence: 97%