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CinC 2024 Preliminary Program : Abstracts 

CinC 2024: Program

(18/07/2024 15:28:19)

Oral sessions : Sxxx & Poster sessions : Pxxx

By day : | Monday | Tuesday | Wednesday |

Monday, September 9, 2024
08:30 - 09:00   
Monday
Welcome to CinC 2024
PDF Abstract
09:00 - 10:30   
Monday
Session RDYIA - Rosanna Degani Young Investigator Finals
09:00 - 09:20    Session RDYIA, ID 340 - Model-based Analysis of Pulse Transit Time Characteristics During Obstructive Apnea
Arthur Ben-Tolila1, Virginie Le Rolle2, Jean-Louis D PEPIN3, Alfredo Hernandez4
1University of Rennes 1, LTSI, 2LTSI - INSERM U1099 - Université de Rennes 1, 3Grenoble Alpes University, 4INSERM - LTSI U 1099
File
09:20 - 09:40    Session RDYIA, ID 308 - Insights from Explainable Machine Learning on Biatrial Arrhythmia Vulnerability Assessment
Patricia Martinez Diaz1, Pascal Maierhofer2, Michael Beigl3, Axel Loewe3, Olaf Doessel4
1Karlsruhe Insitute of Technology, 2KIT, 3Karlsruhe Institute of Technology (KIT), 4Institute of Biomedical Engineering, Karlsruhe Institute of Technology
File
09:40 - 10:00    Session RDYIA, ID 205 - Maximum Shortening Velocity and Power Are Reduced in a Human Cross-bridge Model of Type 2 Diabetes
Julia H Musgrave1, June-Chiew Han2, Marie-Louise Ward1, Andrew Taberner1, Kenneth Tran1
1University of Auckland, 2Auckland Bioengineering Institute
10:00 - 10:20    Session RDYIA, ID 286 - A Machine Learning Approach to Automated Localization of Targets for Ventricular Tachycardia Ablation Using Sinus Rhythm Signal Features
Xuezhe Wang1, Adam Dennis2, Tarv Dhanjal3, Pier Lambiase2, Michele Orini4
1University College London, 2UCL, 3University Hospital Coventry & Warwickshire, 4University College London, Institute of Cardiovascular Science
File
10:30 - 11:00   
Monday
Coffee break
11:00 - 12:30   
Monday
Session S21 - 4a. ECG Analysis Technology
11:00 - 11:15    Session S21, ID 357 - A Transfer Learning Model -Based Patient-Specific ECG Lead Synthesis Algorithm
Joel Xue
Alivecor Inc
File
11:15 - 11:30    Session S21, ID 27 - ECG Generation Based on Denoising Diffusion Probabilistic Models
Zhongyu Wang1, Caiyun Ma2, Minghui Zhao3, Shuo Zhang3, Jianqing Li3, Chengyu Liu3
1the State Key Laboratory of Digital Medical Engineering, School of Instrument Science and Engineering, Southeast University, 2the State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, 3southeast university
11:30 - 11:45    Session S21, ID 444 - ECG Classification with Deep Unfolding Variable Projection Network
Gergo Bognar1 and Peter Kovacs2
1ELTE Eotvos Lorand University, 2Eötvös Loránd University
11:45 - 12:00    Session S21, ID 96 - Transferability and Adversarial Training in Automatic Classification of the Electrocardiogram with Deep Learning
Arvid Eriksson1, Thomas B. Schön2, Antonio H. Ribeiro3
1KTH Royal Institute of Technology, 2Uppsala University, 3KTH
12:00 - 12:15    Session S21, ID 163 - Multi-label Classification of Electrocardiogram Based on Label Distribution
Yuwen Li1, Ben Wang2, Chengyu Liu1, Zhang Zhimin3
1Southeast University, 2Nanjing Marine Radar Institute, China Shipbuilding Industry Corporation, 3China Pharmaceutical University
12:15 - 12:30    Session S21, ID 223 - A Survey of Augmentation Techniques for Enhancing ECG Representation through Self-Supervised Contrastive Learning
Deekshith Reddy Dade1, Jake Bergquist2, Rob MacLeod2, Ravi Ranjan2, Benjamin A Steinberg2, Tolga Tasdizen2
1Univeristy of Utah, 2University of Utah
File
11:00 - 12:30   
Monday
Session S22 - 5. Whole heart modeling
11:00 - 11:15    Session S22, ID 44 - Gizmo – A Near Real-time Re-entrant Eikonal Based ECG Simulator
Matthias Gsell, Thomas Schrotter, Gernot Plank
Medical University of Graz
11:15 - 11:30    Session S22, ID 390 - Calibration and Validation of a Healthy Human Baseline Electromechanical Model: Insights from Modelling and Simulation
Zhinuo Jenny Wang1, Maxx Holmes2, Ruben Doste3, Julia Camps1, Francesca Margara1, Blanca Rodriguez1
1University of Oxford, 2University of Leeds, 3Department of Computer Science, University of Oxford
11:30 - 11:45    Session S22, ID 400 - Development of an Automated Pipeline for Large-Scale in Silico Trials in Electromechanical Patient-Specific Ventricular Models
Ruben Doste1, Julia Camps2, Zhinuo Jenny Wang2, Lucas Arantes Berg2, Marcel Beetz3, Abhirup Banerjee2, Vicente Grau3, Blanca Rodriguez2
1Department of Computer Science, University of Oxford, 2University of Oxford, 3Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford
11:45 - 12:00    Session S22, ID 140 - Anatomically Detailed Patient-specific Closed-loop Modeling of Heart-pacemaker Interaction
Niccolo' Biasi1, Paolo Seghetti2, Davide Matteo Vultaggio3, marco Laurino4, Alessandro Tognetti3
1Research Center E. Piaggio-University of Pisa, 2Scuola superiore sant'Anna, 3University of Pisa, 4CNR, Institute of Clinical Physiology
File
12:00 - 12:15    Session S22, ID 349 - Selecting Cardiac Resynchronization Therapy Strategy for Left Bundle Branch Block at Different Levels: In Silico Comparative Study
Lev Malishevskii1, Arsenii Dokuchaev2, Stepan Zubarev3, Dmitry Lebedev1, Olga Solovyova4
1Almazov National Medical Research Centre, 2XSpline s.p.a, 3Almazov National Medical Research Center, Saint-Petersburg, Russia; Institute Of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russia; Xspline S.p.a, Bolzano, Italy, 4Institute of Immunology and Physiology UrB RAS
12:15 - 12:30    Session S22, ID 462 - Implications of IUGR-related heart geometric changes on electrophysiology: an in silico perspective
Freddy L Bueno-Palomeque1, Ernesto Zacur2, Esther Pueyo3, Fàtima Crispi4, Pablo Laguna5, Ana Mincholé3
1Universidad de Zaragoza, 2CorifyCare S.L., 3University of Zaragoza, 4Barcelona Center for MaternalFetal and Neonatal Medicine, Hospital Sant Joan de Déu and Hospital Clínic, University of Barcelona, 5Zaragoza University
File
Monday September 9, 2024
11:00 - 12:30   
Monday September 9