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ECG-based monitoring of blood potassium concentration: Periodic versus principal component as lead transformation for biomarker robustness.

, , , , , , , , и . Biomed. Signal Process. Control., (2021)

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Nunzia Palmieri

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A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images., , , , , и . ICIC (2), том 10955 из Lecture Notes in Computer Science, стр. 643-649. Springer, (2018)Weighted Time Warping Improves T-Wave Morphology Markers Clinical Significance., , , , , , и . IEEE Trans. Biomed. Eng., 69 (9): 2787-2796 (2022)Nonlinear T-Wave Time Warping-Based Sensing Model for Non-Invasive Personalised Blood Potassium Monitoring in Hemodialysis Patients: A Pilot Study., , , , , , , , и . Sensors, 21 (8): 2710 (2021)T-Wave Morphology Changes as Surrogate for Blood Potassium Concentration in Hemodialysis Patients., , , , , , , , , и 1 other автор(ы). CinC, стр. 1-4. IEEE, (2019)Estimation of potassium levels in hemodialysis patients by T wave nonlinear dynamics and morphology markers., , , , , , и . Comput. Biol. Medicine, (2022)Supervised Classification of Brugada Syndrome Patients by ECG-Derived Markers., , , , , и . CinC, стр. 1-4. IEEE, (2023)Relationship between Deceleration Areas in the Second Stage of Labor and Neonatal Acidemia., , , , , , , и . CinC, www.cinc.org, (2016)Characterization of T Wave Amplitude, Duration and Morphology Changes During Hemodialysis: Relationship With Serum Electrolyte Levels and Heart Rate., , , , , , , , и . IEEE Trans. Biomed. Eng., 68 (8): 2467-2478 (2021)ECG-based monitoring of blood potassium concentration: Periodic versus principal component as lead transformation for biomarker robustness., , , , , , , , и . Biomed. Signal Process. Control., (2021)Weighted Time Warping T-Wave Analysis Robust to Delineation Errors: Clinical Implications., , , , , , , и . CinC, стр. 1-4. IEEE, (2021)