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Quantification of Ventricular Repolarization Variation for Sudden Cardiac Death Risk Stratification in Atrial Fibrillation.

, , , , , and . IEEE J. Biomed. Health Informatics, 23 (3): 1049-1057 (2019)

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Considerations on Performance Evaluation of Atrial Fibrillation Detectors., , , , , and . IEEE Trans. Biomed. Eng., 68 (11): 3250-3260 (2021)Changes in T-Peak-to-T-End Morphology Measured by Time-Warping are Associated with Ischemia-Induced Ventricular Fibrillation in a Porcine Model., , , , , , and . CinC, page 1-4. IEEE, (2023)Assessment of QT Interval Dynamics Induced by Heart Rate Changes Through Bivariate Phase-Rectified Signal Averaging., , and . CinC, page 1-4. IEEE, (2023)Cosinor-Based Circadianity of T-Wave Alternans Activity as a Predictor of Sudden Cardiac Death in Heart Failure: a Post-Hoc Analysis of the GISSI-HF Holter Substudy., , , , , and . CinC, page 1-4. IEEE, (2022)Investigating Respiratory Rate Estimation During Paroxysmal Atrial Fibrillation Using an Improved ECG Simulation Model., , , , , , and . CinC, page 1-4. IEEE, (2020)Beat-to-beat heart rate detection by smartphone's accelerometers: Validation with ECG., , , , , , and . EMBC, page 525-528. IEEE, (2016)Quantification of Ventricular Repolarization Variation for Sudden Cardiac Death Risk Stratification in Atrial Fibrillation., , , , , and . IEEE J. Biomed. Health Informatics, 23 (3): 1049-1057 (2019)Increase of QRS Duration as a Predictor of Impending Ventricular Fibrillation during Coronary Artery Occlusion., , , , and . CinC, page 133-136. www.cinc.org, (2013)Nonlinear T-Wave Time Warping-Based Sensing Model for Non-Invasive Personalised Blood Potassium Monitoring in Hemodialysis Patients: A Pilot Study., , , , , , , , and . Sensors, 21 (8): 2710 (2021)Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection., , , , , and . Sensors, 19 (17): 3729 (2019)