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Monday, September 5, 2022
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8:30 - 8:45
Monday
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Welcome to CinC 2022
- Duetto 1-2
Chair: Rob MacLeod
Co-Chair: Jari Hyttinen
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8:45 - 10:15
Monday
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Session RDYIA -
Rosanna Degani Young Investigator Finals
- Duetto 1-2
Chair: Maria Guillem
Co-Chair: Rob MacLeod
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8:45 - 9:05
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Session RDYIA, ID 57 -
Exploring Role of Accessory Pathway Location in Wolff-Parkinson-White Syndrome in a Model of Whole Heart Electrophysiology
Karli Gillette1, Matthias Gsell2, Stefan Kurath-Koller3, Martin Manninger3, Anton Prassl1, Daniel Scherr3, Gernot Plank1
1Gottfried Schatz Research Center - Medical University of Graz, 2Medical University of Graz, 3Division of Cardiology, Department of Medicine, Medical University of Graz
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9:25 - 9:45
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Session RDYIA, ID 325 -
The Effect of Segmentation Variability in Forward ECG Simulation
Beata Ondrusova1, Machteld Boonstra2, Jana Svehlikova3, Dana Brooks4, Peter van Dam5, Ali Rababah6, Akil Narayan7, Rob MacLeod7, Nejib Zemzemi8, Jess Tate7
1Institute of Measurement Science, 2University Medical Center Utrecht, 3Institute of Measurement Science, SAS, 4Northeastern University, 5UMC Utrecht, 6Jordanian Royal Medical Services, 7University of Utah, 8Inria Bordeaux Sud-Ouest
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9:45 - 10:05
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Session RDYIA, ID 324 -
Model-based and Unsupervised Machine-learning Approaches for the Characterization of Responder Profiles for Cardiac Resynchronization Therapy
Marion Taconné1, Virginie Le Rolle2, Alban Gallard2, Kimi Owashi3, Adrien al Wazzan3, Elena Galli3, Jens-Uwe Voigt4, Jurgen Duchenne4, Otto Smiseth5, Erwan Donal3, Alfredo Hernandez6
1LTSI INSERM, 2LTSI - INSERM U1099 - Université de Rennes 1, 3Univ Rennes, CHU Rennes, Inserm, LTSI – UMR 1099, F-35000 Rennes, France, 4Department of Cardiovascular Disease, KU Leuven, Leuven, Belgium, 5Center for Cardiological Innovation and Department of Cardiology, Oslo University Hospital, Oslo, Norway, 6INSERM - LTSI U 1099
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10:15 - 10:45
Monday
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Coffee break
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10:45 - 12:15
Monday
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Session S21 -
ECG- Analysis: Ischemia and COVID-19
- Duetto 1-2
Chair: Cees A. Swenne
Co-Chair: Roberto Sassi
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10:45 - 11:00
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Session S21, ID 416 -
Comparing the Efficacy of Electrocardiographic Leads in Recovery Phase in Detecting Coronary Artery Disease in Women
Serkalem Beyene1, Kjell Nikus2, Terho Lehtimäki3, Mika Kähönen4, Jari Viik3
1Faculty of Medicine and Health Technology, Tampere University, 22Heart Center, Tampere University Hospital, Finland, 31Faculty of Medicine and Health Technology, Tampere University, Finland, 43Department of Clinical Physiology, Tampere University Hospital, and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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11:15 - 11:30
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Session S21, ID 299 -
Application of Synthesized ECG Leads for Real-Time Ischemia Monitoring – From Basic ST-Segment Monitoring to Cardiac Multi-Modality Imaging Analysis
John Wang1 and Milan Horáček2
1Philips Healthcare, 2Dalhausie University, Halifax, NS, Canada
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12:00 - 12:15
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Session S21, ID 196 -
A CNN for Covid Detection Using ECG signals
Federico Muscato1, Valentina Corino2, Massimo W Rivolta3, Pietro Cerveri2, Antonio Sanzo4, Alessandro Vicentini4, Roberto Sassi3, Luca Mainardi2
1Department of Electronics, Information and Bioengineering, Politecnico di Milano, 2Politecnico di Milano, 3Dipartimento di Informatica, Università degli Studi di Milano, 4Arrhythmia and Electrophysiology, and Coronary Care Unit, Fondazione IRCCS Policlinico S. Matteo
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10:45 - 12:15
Monday
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Session S22 -
Atrial Arrhythmias: Electrocardiography
- Sopraano
Chair: Frida Sandberg
Co-Chair: Edward Vigmond
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11:00 - 11:15
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Session S22, ID 59 -
Estimation of f-wave Dominant Frequency Using a Voting Scheme
Shany Biton1, Mahmoud Suleiman2, Noam Ben Moshe3, Leif Sornmo4, Joachim A. Behar5
1Faculty of Biomedical Engineering, Technion-IIT, 2Department of Cardiology, Rambam Medical Center and Technion The Ruth and Bruce Rappaport, 3Technion, 4Department of Biomedical Engineering, Lund University, 5Technion-IIT
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11:45 - 12:00
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Session S22, ID 124 -
Improving Clinical ECG-based Atrial Fibrosis Quantification With Neural Networks Through in silico P waves From an Extensive Virtual Patient Cohort
Claudia Nagel1, Johannes Osypka1, Laura Anna Unger1, Deborah Nairn2, Armin Luik3, Reza Wakili4, Olaf Doessel5, Axel Loewe6
1Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 2Karlsruhe Institute of Technology, 3Medizinische Klinik IV, Staedtisches Klinikum Karlsruhe, 4Department of Cardiology, University Hospital Essen, 5Institute of Biomedical Engineering, Karlsruhe Institute of Technology, 6Karlsruhe Institute of Technology (KIT)
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