Cardiac repolarization abnormalities and potential evidence for loss of cardiac sodium currents on electrocardiograms of patients with Chagas heart disease

Schlegel, Todd T.; Medina, Rubén; Jugo, D.; Nuñez, Tulio; Borrego, Alejandro; Arellano, E.; Arenare, Brian; DePalma, Jude L.; Greco, E. C.; Starc, Vito

doi:10.1016/j.jelectrocard.2007.08.054

Cited by 1 publication

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“…Results show statistically significant differences for QT and QT c intervals between control subjects and chagasic patients ( p < 0.05). Concerning this disease, further research is still necessary considering a larger group of patients and handling exclusion criteria concerning other diseases affecting the left ventricular repolarization [42].…”

Section: Statistical Comparison Between Patients and Control Subjectsmentioning

confidence: 99%

ECG Multilead QT Interval Estimation Using Support Vector Machines

Cuadros

Dugarte

Wong

et al. 2019

Journal of Healthcare Engineering

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This work reports a multilead QT interval measurement algorithm for a high-resolution digital electrocardiograph. The software enables off-line ECG processing including QRS detection as well as an accurate multilead QT interval detection algorithm using support vector machines (SVMs). Two fiducial points (Qini and Tend) are estimated using the SVM algorithm on each incoming beat. This enables segmentation of the current beat for obtaining the P, QRS, and T waves. The QT interval is estimated by updating the QT interval on each lead, considering shifting techniques with respect to a valid beat template. The validation of the QT interval measurement algorithm is attained using the Physionet PTB diagnostic ECG database showing a percent error of 2.60±2.25 msec with respect to the database annotations. The usefulness of this software tool is also tested by considering the analysis of the ECG signals for a group of 60 patients acquired using our digital electrocardiograph. In this case, the validation is performed by comparing the estimated QT interval with respect to the estimation obtained using the Cardiosoft software providing a percent error of 2.49±1.99 msec.

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Section: Statistical Comparison Between Patients and Control Subjectsmentioning

confidence: 99%