2020 Computing in Cardiology

Pickett, Christine [szerk.]; Corsi, Cristiana [szerk.]; Laguna, Pablo [szerk.]; MacLeod, Rob [szerk.]; Severi, Stefano [szerk.]

Angol nyelvű Konferenciakötet (Könyv) Tudományos

Megjelent: Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), Amerikai Egyesült Államok 2020

Konferencia: 47th Computing in Cardiology Conference, CinC 2020 2020-09-13 [Rimini, Olaszország]

Sorozatok: Computing in Cardiology 2325-8861 2325-887X, 47

Azonosítók

MTMT: 31640577
ISBN: 9781728173825
Egyéb URL: https://cinc.org/archives/2020/

Fejezetek

Bartolucci C. et al. Investigation of the Extracellular Calcium Effects on Action Potential Using the Most Recent Human Ventricular Cell Models. (2020) Megjelent: 2020 Computing in Cardiology
Camporesi M. et al. Development, Implementation and Testing of a Multicellular Dynamic Action Potential Clamp Simulator for Drug Cardiac Safety Assessment. (2020) Megjelent: 2020 Computing in Cardiology
Carpio E.F. et al. Computational Analysis of Vulnerability to Reentry in Acute Myocardial Ischemia. (2020) Megjelent: 2020 Computing in Cardiology
Escobar F. et al. Prediction of IKrBlocker Channel State Preference Based on Voltage Clamp Simulations Using Machine Learning Techniques. (2020) Megjelent: 2020 Computing in Cardiology
Escribano P. et al. Catheter Ablation Outcome Prediction with Advanced Time-Frequency Features of the Fibrillatory Waves from Patients in Persistent Atrial Fibrillation. (2020) Megjelent: 2020 Computing in Cardiology
Fabbri A. et al. Assessment of the Effects of Online Linear Leak Current Compensation at Different Pacing Frequencies in a Dynamic Action Potential Clamp System. (2020) Megjelent: 2020 Computing in Cardiology
Firoozabadi R. et al. Improvement in Automated STEMI Detection by Modeling and Classification of the ST Segment. (2020) Megjelent: 2020 Computing in Cardiology
Garcia-Isla Guadalupe et al. ECG Morphological Decomposition for Automatic Rhythm Identification. (2020) Megjelent: 2020 Computing in Cardiology
Gillardin Q. et al. Recursive Model Identification for the Analysis of Cardiovascular Autonomic Modulation during Epileptic Seizure. (2020) Megjelent: 2020 Computing in Cardiology
Girones-Sanguesa M. et al. A Novel Model of Acute Myocardial Ischemia in Human Ventricular Cardiomyocytes. (2020) Megjelent: 2020 Computing in Cardiology
Grochala Dominik et al. Dry Composite Electrodes With Carbon Nanotubes Additive for Biopotentials Measurements: ECG Use Case. (2020) Megjelent: 2020 Computing in Cardiology
Guidi G. et al. Analysis of a Case of Brugada Syndrome through Numerical Simulation of Ventricular Action Potential. (2020) Megjelent: 2020 Computing in Cardiology
Margara F. et al. Human Ventricular Modelling and Simulation of Drug Action on Electrophysiology and Contraction. (2020) Megjelent: 2020 Computing in Cardiology
Mora M.T. et al. Reduced Myofilament Contraction in Human Heart Failure. Insights from Electromechanical Simulations. (2020) Megjelent: 2020 Computing in Cardiology
Morgan A.E. et al. Right Ventricular Shape Distortion in Tricuspid Regurgitation. (2020) Megjelent: 2020 Computing in Cardiology
Ortigosa N. et al. Pulmonary Vein Isolation Induces Changes in Vectorcardiogram P-wave Loops. (2020) Megjelent: 2020 Computing in Cardiology
Pérez Cristina et al. Characterization of Impaired Ventricular Repolarization by Quantification of QT Delayed Response to Heart Rate Changes in Stress Test. (2020) Megjelent: 2020 Computing in Cardiology
Perez-Zabalza M. et al. Improved Methods for Processing Optical Mapping Signals from Human Left Ventricular Tissues at Baseline and following Adrenergic Stimulation. (2020) Megjelent: 2020 Computing in Cardiology
Rodenas J. et al. Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation. (2020) Megjelent: 2020 Computing in Cardiology
Ruisch Janna et al. Disease-Specific Electrocardiographic Lead Positioning for Early Detection of Arrhythmogenic Right Ventricular Cardiomyopathy. (2020) Megjelent: 2020 Computing in Cardiology
Ruiz Antonio et al. Predicting Atrial Fibrillation Recurrence After Catheter Ablation Through Time Variability of P-wave Features. (2020) Megjelent: 2020 Computing in Cardiology
Sampedro-Puente D.A. et al. In Silico Characterization of Repolarization Duration and Variability in the Long QT1 Syndrome under ß-Adrenergic Stimulation. (2020) Megjelent: 2020 Computing in Cardiology
Smith H.J. et al. Unravelling the Mechanistic Links between Pro-Arrhythmia and Mechanical Function. (2020) Megjelent: 2020 Computing in Cardiology
Trovato C. et al. In Silico Trials for Drug Safety and Efficacy Assessment Using a Novel Human Purkinje Fibre Model. (2020) Megjelent: 2020 Computing in Cardiology
Wiesmueller Fabian et al. Automated Extraction of Time References From Clinical Notes in a Heart Failure Telehealth Network. (2020) Megjelent: 2020 Computing in Cardiology
Young William J. et al. Will Genetic Data Significantly Change Cardiovascular Risk Prediction in Daily Practice?. (2020) Megjelent: 2020 Computing in Cardiology
Zhou X. et al. Investigation of the Electrophysiological Remodelling in Acute and Chronic Post-Myocardial Infarction. (2020) Megjelent: 2020 Computing in Cardiology

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2020 Computing in Cardiology

Pickett, Christine [szerk.]; Corsi, Cristiana [szerk.]; Laguna, Pablo [szerk.]; MacLeod, Rob [szerk.]; Severi, Stefano [szerk.]

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