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ORCID50th CinC 2023: Atlanta, GA, USA
- Computing in Cardiology, CinC 2023, Atlanta, GA, USA, October 1-4, 2023. IEEE 2023, ISBN 979-8-3503-8252-5
- Aadi Bhensdadia:
Utilizing 3D Additive Manufacturing to Develop a Biocompatible, Customizable, and Durable Mechanical Aortic Valve. 1-4 - Songlu Lin, Meicheng Yang, Yuzhe Wang, Zhihong Wang:
An Explainable AI Predictor to Improve Clinical Prognosis for Acute Respiratory Distress Syndrome. 1-4 - Vilma Plusciauskaite, Monika Butkuviene, Andrius Solosenko, Karolina Janciuleviciute, Vaidotas Marozas, Leif Sörnmo, Andrius Petrenas:
Detection of Pre- and Post-Trigger Atrial Fibrillation in Long-Term Photoplethysmogram Signals Acquired in Free-Living. 1-4 - Gill R. Tsouri, Alex Page, Margot Lutz, Jean-Philippe Couderc:
Performance of Noncontact Video-Based Detection of Pulse Rate and Atrial Fibrillation on the iOS Platform. 1-4 - Gill R. Tsouri, Alex Page
, Margot Lutz, Jean-Philippe Couderc:
Performance of Noncontact Video-Based Detection of Pulse Rate and Atrial Fibrillation on Personal Computers Utilizing a Webcam. 1-4 - Safaa Al-Ali, Jordi Llopis-Lorente, Maria Teresa Mora, Maxime Sermesant, Beatriz Trénor, Irene Balelli:
A Causal Discovery Approach to Streamline Ionic Currents Selection to Improve Drug-Induced TdP Risk Assessment. 1-4 - Richard E. Gregg, Junmo An, Ben Bailey, Salah S. Al-Zaiti:
An Efficient Linear Phase High-Pass Filter for ECG. 1-4 - Pan Xia, Dongfang Zhao, Yicheng Yao, Zhongrui Bai, Yizi Shao, Saihu Lu, Fanglin Geng, Yusi Zhu, Peng Wang, Lidong Du:
Predicting Neurological Outcomes for Cardiac Arrest Patients from Longitudinal EEG Based on Short-Time Fourier Transform and 3-D Deep Residual Network. 1-4 - Hongliu Yang, Ronald Tetzlaff:
Model Ensembling for Predicting Neurological Recovery After Cardiac Arrest: Top-Down or Bottom-Up? 1-4 - Arthur Ben-Tolila, Virginie Le Rolle, Alfredo I. Hernández:
Sensitivity Analysis of a Cardio-respiratory Model for Pulse Transit Time. 1-4 - Caiyun Ma, Zhongyu Wang, Lina Zhao, Xi Long, Rik Vullings, Ronald M. Aarts, Jianqing Li, Chengyu Liu:
Deep Learning-Based Signal Quality Assessment in Wearable ECG Monitoring. 1-4 - Estela Sánchez-Carballo, Francisco Manuel Melgarejo-Meseguer, José Luis Rojo-Álvarez, Arcadio García-Alberola, Yoram Rudy:
Single Reference Segmentation to Estimate T-Wave Alternans. 1-4 - Mostafa Moussa, Hessa Alfalahi, Mohanad Alkhodari, Leontios J. Hadjileontiadis, Ahsan Khandoker:
Random Forest and Attention-Based Networks in Quantifying Neurological Recovery. 1-4 - Murad Almadani, Mohanad Alkhodari, Samit Kumar Ghosh, Ahsan H. Khandoker:
FHSU-NETR: Transformer-Based Deep Learning Model for the Detection of Fetal Heart Sounds in Phonocardiography. 1-4 - Deboleena Sadhukhan, Christian Dorme, Mathias Fink, Ros Kiri Ing:
Morphological and Temporal Variations of Seismocardiograms Across the Chest: A Guide for Single Channel Sensor Placement. 1-4 - Salvador Carrasco-Sosa, Alejandra Guillén-Mandujano:
Instantaneous Time-Courses of Baroreflex Sensitivity, Sympathetic and Vagal Activities in Response to Mueller Maneuver. 1-4 - Abdelrahman Abdou, Niraj Mistry, Sridhar Krishnan:
3D Printed Dry Electrodes for Single-Lead Newborn ECG Monitoring. 1-4 - Hannes Ernst, Hagen Malberg, Martin Schmidt:
Automatic Detection of Acute Mental Stress With Camera-based Photoplethysmography. 1-4 - Felix Krones, Benjamin Walker, Guy Parsons, Terry J. Lyons, Adam Mahdi:
Multimodal Deep Learning Approach to Predicting Neurological Recovery From Coma After Cardiac Arrest. 1-4 - Massimiliano Leoni, Argyrios Petras, Zoraida Moreno Weidmann, José Manuel Guerra, Luca Gerardo-Giorda:
Should I Tilt or Should I Push? Effect of Contact Force and Catheter Inclination in Cardiac RF Ablation. 1-4 - Gi-Won Yoon, Segyeong Joo:
Generated ECG Signal Feasibility Evaluation for Classification. 1-4 - Omar Atamny, Ardan M. Saguner, Roger Abächerli, Ender Konukoglu:
Outlier Detection in ECG. 1-4 - Beibei Wang, Hao Zhang, Mengxue Yan, Lirui Xu, Haonan Zhao, Jianqiang Liu, Jihang Xue, Zhen Fang:
Predicting Neurological Recovery After Cardiac Arrest from Electroencephalogram Using Residual Network and Random Forest. 1-4 - Erdem Yanar, Firat Hardalaç:
Clinical Decision Support for Early Diagnosis of Cardiomegaly by Using Deep Learning Techniques on Chest X-rays. 1-4 - Nathan T. Riek, Jonathan Elmer, Salah Al-Zaiti, Murat Akçakaya:
Predicting Recovery from Coma Following Cardiac Arrest with a Reduced Set of EEG Channels. 1-4 - Peter H. Charlton, Joachim A Behar, Márton Áron Goda, Jonathan Mant, Panicos A. Kyriacou:
Accelerometry-Guided Inter-Beat-Interval Assessment from Wrist Photoplethysmography. 1-4 - Jake A. Bergquist, Brian Zenger, James N. Brundage, Rob S. MacLeod, Rashmee Shah, Xiangyang Ye, Ann Lyones, Ravi Ranjan, Tolga Tasdizen, T. Jared Bunch, Benjamin Steinberg:
Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads. 1-4 - Kyungmin Choi, Gi-Won Yoon, Sanghoon Choi, Hyeon-Hwa Choi, Segyeong Joo:
Prediction Comatose Patient Outcomes Using Deep Learning -Based Analysis of EEG Power Spectral Density. 1-4 - Meng Gao, Rui Yu, Zhuhuang Zhou, Shuicai Wu, Guangyu Bin:
Predicting Neurological Recovery Following Coma After Cardiac Arrest Using the R(2+ 1)D Network Based on EEG Signals. 1-4 - Sanghoon Choi, Segyeong Joo:
Improvement Performance Deep Learning-Based Multi-Class ECG Classification Model with Limited Medical Dataset. 1-4 - Jan Pavlus, Kristyna Pijackova, Zuzana Koscova, Radovan Smísek, Ivo Viscor, Vojtech Travnicek, Petr Nejedly, Filip Plesinger:
Using Embedding Extractor and Transformer Encoder for Predicting Neurological Recovery from Coma After Cardiac Arrest. 1-4 - Andrius Rapalis, Daivaras Sokas, Vilma Plusciauskaite, Sofija Jurgionyte, Zivile Stankeviciute, Jesús Lázaro, Asta Savaneviciene, Raquel Bailón, Eugenijus Kaniusas, Vaidotas Marozas:
Photoplethysmogram Morphology in Stress: from Mental to Pain to Physical Activity-Induced Stress. 1-4 - Marc Goettling, Richard Hohmuth, Franz Ehrlich, Hannes Ernst, Alexander Hammer, Matthieu Scherpf, Martin Schmidt:
Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based Approach. 1-4 - Jingsu Kang, Hao Wen:
Predicting Neurological Recovery from Coma with Longitudinal Electroencephalogram Using Deep Neural Networks. 1-4 - Meng Chen, Alain Beuchée, Fabrice Tudoret, Arnaud Coursin, Pheng Ho, Alfredo I. Hernández:
Deployment of an On-the-Edge Clinical Decision Support System in Neonatal Intensive Care Units. 1-4 - Vlasta Bari, Francesca Gelpi, Beatrice Cairo, Martina Anguissola, Sara Pugliese, Beatrice De Maria, Elena Acerbi, Mattia Squillace, Marco Ranucci, Francesco Bedogni, Alberto Porta:
Autonomic Control and Baroreflex Sensitivity Before and After Transcatheter Aortic Valve Implantation. 1-4 - Arie O. Verkerk, Ronald Wilders:
Action Potential Clamp as a Tool for Risk Stratification of Sinus Bradycardia Due to Loss-of-Function Mutations in HCN4. 1-4 - Felix Plappert, Mikael Wallman, Pyotr G. Platonov, Frida Sandberg:
Estimating Respiratory Modulation in Atrial Fibrillation Using a Convolutional Neural Network. 1-4 - Sofia Romagnoli, Agnese Sbrollini, Antonio Nocera, Micaela Morettini, Ennio Gambi, Danilo Bondi, Tiziana Pietrangelo, Vittore Verratti, Laura Burattini:
Sport DB 2.0: A New Database of Data Acquired by Wearable and Portable Devices While Practicing Sport. 1-4 - Mously Dior Diaw, Idriss Ngomseu Tchoupe, Stéphane Papelier, Alexandre Durand-Salmon, Jacques Felblinger, Julien Oster:
Electrocardiography-Based Assessment of Cardiac Contractility. 1-4 - Alex Gaudio, Noemi Giordano, Miguel Tavares Coimbra, Benedict Kjaergaard, Samuel E. Schmidt, Francesco Renna:
Cross-Domain Detection of Pulmonary Hypertension in Human and Porcine Heart Sounds. 1-4 - Stephanie M. Hu, Steven Horng, Seth J. Berkowitz, Ruizhi Liao, Rahul G. Krishnan, Li-Wei H. Lehman, Roger G. Mark:
Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? 1-4 - Maxime Pedron, Prasanth Ganesan, Ruibin Feng, Brototo Deb, Hui Chang, Samuel Ruipérez-Campillo, Sulaiman Somani, Yaanik Desai, Albert J. Rogers, Paul Clopton, Sanjiv M. Narayan:
Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation. 1-4 - Bipin Lekhak, Ryan Missel, Dillon Dzikowicz, Solomiya Rachynska, Wojciech Zareba, Linwei Wang:
Novel In-Home Cardiac Monitoring for Heart Failure Patients. 1-4 - Peter H. Charlton, Panicos A. Kyriacou:
Wearable Photoplethysmography: Current Status and Future Challenges. 1-4 - Dong-Kyu Kim, Hong-Cheol Yoon, Hyun-Seok Kim, Woo-Young Seo, Sung-Hoon Kim:
Predicting Neurological Outcome After Cardiac Arrest Using a Pretrained Model with Electroencephalography Augmentation. 1-4 - Maxim Ryzhii, Elena Ryzhii:
Revealing the Origin of Typical and Atypical Forms of Atrioventricular Nodal Reentrant Tachycardia with a Compact Computer Model of Rabbit AV Node. 1-4 - Roy S. Zawadzki, Saman Parvaneh:
Synthetic Data Generation in Small Datasets to Improve Classification Performance for Chronic Heart Failure Prediction. 1-4 - Hyeon-Hwa Choi, Segyeong Joo:
Generating Precordial-lead Electrocardiogram from Smartwatch. 1-4 - Wenlong Wu, Ying Tan:
MelicientNet: Harnessing Mel-Spectrograms and EfficientNet Architectures for Predicting Neurological Recovery Post-Cardiac Arrest. 1-4 - Dolores Blanco-Almazán, John F. Morales, Willemijn Groenendaal, Francky Catthoor, Raimon Jané:
Wearable ECG-Derived Respiration Performance for Respiratory Monitoring with a Non-Standard ECG Lead. 1-4 - Wolfgang J. Kern, Simon Orlob, Gabriel Putzer, Judith Martini, Martin Holler:
A Parameter Identification Approach towards Analyzing Hemodynamics Based on Capnography. 1-4 - Siying Li, Yonggang Zou, Xianya Yu, Xiuying Mou, Yueqi Li, Bokai Huang, Changyu Liu, Xianxiang Chen:
A Method with Time-Sensitive Features for the Automated Prognosis Prediction of Cardiac Arrest Patients Based on EEG. 1-4 - Asger E. Knudsen, Emil Korsgaard, Jeppe Færgemand B, Nikolaj Justesen, Samuel E. Schmidt, Andrei Ciubotariu:
Thermal Infrared Imaging for Investigating Changes of Vasomotion in Peripheral Circulation. 1-4 - Carlos Hernández-Fernández, Hilario Gómez-Moreno, Roberto Holgado-Cuadrado, Manuel Blanco-Velasco:
Long-Term ECG Analysis Through Image Conversion and Deep9 Learning. 1-4 - Lidia Pascual-Sánchez, Rebeca Goya-Esteban, Fernando Cruz-Roldán, Antonio Hernández-Madrid, Manuel Blanco-Velasco:
Analysis of the Window Size Effect for T-Wave Alternans Detection Through Machine Learning Methods. 1-4 - Kuba Weimann, Tim Conrad:
Predicting Coma Recovery After Cardiac Arrest With Residual Neural Networks. 1-4 - Matthias A. F. Gsell, Luca Azzolin, Karli K. Gillette, Aurel Neic, Thomas Schrotter, Franz Thaler, Gernot Plank:
Towards the Development of Virtual Heart Technology for Creating Digital Twins of Cardiac Electrophysiology. 1-4 - Victor Gonçalves Marques, Ali Gharaviri, Simone Pezzuto, Angelo Auricchio, Pietro Bonizzi, Stef Zeemering, Ulrich Schotten:
A Novel Mapping Strategy of Repetitive Patterns in Consecutive Recordings to Localize Atrial Fibrillation Sources: an In-Silico Study. 1-4 - Miikka Salminen, Juha Partala, Eero Väyrynen, Jukka Kortelainen:
Computationally Efficient Early Prognosis of the Outcome of Comatose Cardiac Arrest Survivors Using Slow-Wave Activity Features in EEG. 1-4 - Moustafa Abdelwanis, Shahmir Khan, Ammar Hummieda, Shayaan Syed, Karim Moawad, Maher Maalouf, Herbert F. Jelinek:
Artificial Neural Network for Predicting Cardiovascular Autonomic Reflex Tests from Inflammatory Markers. 1-4 - Xiuli Bi, Shizhan Tang, Zonglin Yang, Xin Deng, Bin Xiao, Pietro Liò:
MMCTNet: Multi-Modal Cony-Transformer Network for Predicting Good and Poor Outcomes in Cardiac Arrest Patients. 1-4 - Houda Jebbari, Sandie Cabon, Patrick Pladys, Guy Carrault, Fabienne Porée:
Estimation of Quiet Sleep in Preterm and Full-Term Newborns Using Machine Learning Algorithms Based on Cardio-Respiratory and Motion Signals. 1-4 - Christian Canedo, A. Fernández-Santamónica, Yolanda Larriba, Itziar Fernández, Cristina Rueda:
Heart Attack Outcome Predictions Using FMM Models. 1-4 - Peter Doggart, Alan Kennedy, Daniel Guldenring, Raymond R. Bond, Dewar D. Finlay:
Identifying Noisy ECG Signals in Large Datasets Using a Temporal Convolutional Neural Network Trained to Estimate Pseudo-SNR. 1-4 - Teemu Pukkila, Matti Molkkari, Matias Kanniainen, Jussi Hernesniemi, Kjell Nikus, Leo-Pekka Lyytikäinen, Terho Lehtimäki, Jari Viik, Mika Kähönen, Esa Räsänen:
Effects of Beta Blocker Therapy on RR Interval Correlations During Exercise. 1-4 - Emma Lagracie, Lisl Weynans, Yves Coudière:
Comparison of Two Formulations for Computing Body Surface Potential Maps. 1-4 - María Macarulla-Rodríguez, Jorge Sánchez, María S. Guillem:
Non-Invasive Estimation of Atrial Fibrosis Location and Density. 1-4 - Richard Hohmuth, Hannes Ernst, Hagen Malberg, Martin Schmidt:
Autonomic Regulation During Acute Mental Stress Is Characterized by Dynamic Interactions. 1-4 - Albert Dasí, Claudia Nagel, Leto Luana Riebel, Michael TB Pope, Rohan S. Wijesurendra, Tim R. Betts, Axel Loewe, Alfonso Bueno-Orovio, Blanca Rodríguez:
In-Silico Trials Guide Optimal Stratification of Atrial Fibrillation Patients to Catheter Ablation vs Pharmacological Medication: The i-STRATIFICATION Study. 1-4 - Aikaterini Vraka, Lorenzo Fácila, Fernando Hornero, Arturo Martínez-Rodrigo, Raúl Alcaraz, José Joaquín Rieta:
Detection of Hypertension Through Features from Heart Rate Variability and Machine Learning Analysis. 1-4 - Philip Hempel, Theresa Bender, Ennio Idrobo-Ávila, Henning Dathe, Dagmar Krefting, Tim Kacprowski, Nicolai Spicher:
Quantifying Alterations Over Time in ST-Segment/T-Wave Amplitudes During Elective Percutaneous Coronary Intervention. 1-4 - Vitaly Kalinin, Alexander Shlapunov:
Representation of the Cardiac Electrical Activity in the Form of a Double Layer Potential. 1-4 - Tomas Stary, Moritz Linder, Axel Loewe:
Sinoatrial Node Cell Response to Isoprenaline Stimulation and Hypocalcemia. 1-4 - Aikaterini Vraka, Vicente Bertomeu-González, Aurelio Quesada, Roberto Zangróniz, Raúl Alcaraz, José Joaquín Rieta:
Optimized Blood Pressure Classification by Features of Pulse Rate Variability and Asymmetry. 1-4 - Pierre G. Aublin, Jacques Felblinger, Julien Oster:
Hermite Based Parametric Representation of Magnetohydrodynamic Effect for the Generation of Synthetic ECG Signals During Magnetic Resonance Imaging. 1-4 - Loïc Jeanningros, Mathieu Le Bloa, Cheryl Teres, Claudia Herrera, Alessandra Porretta, Patrizio Pascale, Adrian Luca, Jorge Solana Muñoz, Giulia Domenichini, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay, Fabian Braun:
A Comparative Study on Detecting Heart Beats in Photoplethysmography Signals in Presence of Various Cardiac Arrhythmias. 1-4 - Andrea Rozo, Dries Testelmans, Bertien Buyse, Carlo S. Iorio, Xiao Hu, Carolina Varon:
Assessment of Deep Learning Approaches for the Detection of Cardio-Respiratory Causal Interactions. 1-4 - Aikaterini Vraka, Juan M. Gracia-Baena, Flavia Ravelli, Philip Langley, Raúl Alcaraz, José Joaquín Rieta:
Reconstruction of Corrupted Photoplethysmography Signals to Facilitate Continuous Monitoring. 1-4 - Arash Kazemi-Díaz, Luis Bote-Curiel, María Sabater-Molina, Juan-Ramón Gimeno-Blanes, Salvador Sala-Pla, Francisco Javier Gimeno-Blanes, Sergio Muñoz-Romero, José Luis Rojo-Álvarez:
An Embedding Approach for Biomarker Identification in Hypertrophic Cardiomyopathy. 1-4 - Benjamin Cauchi, Marco Eichelberg, Andreas Hein:
Predicting Recovery from Coma After Cardiac Arrest Using Low-level Features from EEG Recordings and a Small-sized LSTM Network. 1-4 - Noemi Giordano, Samanta Rosati, Gabriella Balestra, Marco Knaflitz:
Can Multi-Source Phonocardiography Enable Inexperienced Users to Record Heart Sounds for Telemonitoring Applications? A Comparative Analysis. 1-4 - Jérôme Van Zaen, Guillaume Bonnier, Jakub Parák, Mikko Salonen, Yara-Maria Proust, Luisa Marques, Alia Lemkaddem, Cyril Pellaton, Mathieu Lemay:
Abnormal Rhythm Detection from a Single-Lead ECG via a Recurrent Neural Network. 1-4 - Laura C. Palacio, Javier Saiz, Catalina Tobón:
Pro-Arrhythmic Effects of Gaseous Pollutants Under Healthy Conditions: An In-Silico Study. 1-4 - Bjørn-Jostein Singstad, Jesper Ravn, Arian Ranjbar:
MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions. 1-4 - Abouzar Kaboudian, Elizabeth M. Cherry, Flavio H. Fenton:
GPU Load Balancing Using Sparse Cartesian Grids: Making Interactive WebGL Simulations of Complex Ionic Models Even Faster on 3D Heart Structures. 1-4 - Lindsay C. Rupp, Anna Busatto, Jake A. Bergquist, Karli Gillette, Akil Narayan, Gernot Plank, Rob S. MacLeod:
Uncertainty Quantification of Fiber Orientation and Epicardial Activation. 1-4 - Jake A. Bergquist, Matthias Lange, Brian Zenger, Benjamin A. Orkild, Eric Paccione, Eugene Kwan, Bram Hunt, Jiawei Dong, Rob S. MacLeod, Akil Narayan, Ravi Ranjan:
Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia. 1-4 - Morteza Zabihi, Alireza Chamanzar, Pulkit Grover, Eric S. Rosenthal:
HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest. 1-4 - Maria Fernanda Rodriguez, Diego Rodrigo Cornejo, Luz Diaz, Antonio Ravelo-García, Esteban Alvarez, Victor Cabrera-Caso, Dante Condori-Merma, Miguel Vizcardo Cornejo:
Optimal Artificial Neural Network for the Diagnosis of Chagas Disease Using Approximate Entropy and Data Augmentation. 1-4 - Ke Jiang, Zirui Wang, Runze Shen, Sibo Wang, Yang Liu, Yizhuo Feng, Xiaohe Lisun, Zhenfeng Li:
A Neurological Recovery Prediction Algorithm Based on Multi-Feature Extraction and Bagging Aggregation. 1-4 - Md Hassanuzzaman, Nurul Akhtar Hasan, Mohammad Abdullah-Al-Mamun, Khawza I. Ahmed, Ahsan H. Khandoker, Raqibul Mostafa:
A Deep Learning Model for Recognizing Pediatric Congenital Heart Diseases Using Phonocardiogram Signals. 1-4 - M. Rey-Paredes, Óscar Barquero-Pérez, Rebeca Goya-Esteban, Antonio Luque-Casado, D. Grassi, F. Suárez:
Modeling Gender Differences in Heart Rate During the Diving Reflex: Insights into Physiological Adaptability. 1-4 - Jonathan Krauß, Tobias Gerach, Axel Loewe:
Comparison of Pericardium Modeling Approaches for Mechanical Whole Heart Simulations. 1-4 - Enrique Feito-Casares, Francisco Manuel Melgarejo-Meseguer, Arcadi García-Alberola, José Luis Rojo-Álvarez:
Improved Machine Learning Strategies and Algorithms for Transmembrane Potential Estimation in Homogeneous Medium. 1-4 - Manon Kloosterman, Machteld J. Boonstra, Iris van der Schaaf, Peter Loh, Peter M. van Dam:
Exploring Ventricular Repolarization Gradients in Control Subjects Using the Equivalent Dipole Layer. 1-4 - Arian Ranjbar, Bjørn-Jostein Singstad, Jesper Ravn, Henrik Schirmer:
Towards Invariant Soft Biometrics from Electrocardiograms. 1-4 - Mikhail Chmelevsky, Margarita Budanova:
Differential Diagnosis of Wide QRS Complex Arrhythmias Using a Novel Slow Conduction Index Algorithm. 1-4 - Mattias Karlsson, Mikael Wallman, Pyotr G. Platonov, Sara R. Ulimoen, Frida Sandberg:
ECG-based Assessment and Therapeutic Implications of AV Nodal Conduction Dynamics During Atrial Fibrillation. 1-4 - Tobias Gerach, Jonathan Krauß, Steffen Schuler, Axel Loewe:
Whole Heart Simulation of Severe Aortic Stenosis Using a Lumped Parameter Model of Heart Valve Dynamics. 1-4 - N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman:
Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model. 1-4 - Zhongyu Wang, Caiyun Ma, Shuo Zhang, Yuwei Zhang, Jianqing Li, Chengyu Liu:
Lightweight Arrhythmia Detection Based on Momentum Contrast Learning. 1-4 - Quenaz B. Soares, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez:
Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data. 1-4 - Mikhail Chmelevsky, Margarita Budanova, Svyatoslav Khamzin:
Development of a Novel Machine Learning-based Methodology for the Differential Diagnosis of Wide QRS Complex Arrhythmias Using Automated Analysis of 12-Lead ECG. 1-4 - Josseline Madrid, Patricia B. Munroe, Stefan van Duijvenboden, Julia Ramírez, Ana Mincholé:
ECG-Based Unsupervised Clustering in Coronary Artery Disease Associates with Ventricular Arrhythmia. 1-4 - Siri Sytelä, Mira Haapatikka, Antti Vehkaoja:
Comparison of Continuous Non-Invasive Blood Pressure Monitors Finapres Nova and Caretaker 4 During Rest and Laboratory Interventions. 1-4 - Dafne Lozano-Paredes, Luis Bote, Concha Bielza, Pedro Larrañaga, María Sabater-Molina, Juan Ramón Gimeno, Sergio Muñoz, Francisco Javier Gimeno-Blanes, José Luis Rojo-Álvarez:
High-Dimensional Feature Characterization of Single Nucleotide Variants in Hypertrophic Cardiomyopathy. 1-4 - Maurice Rohr, Tobias Schilke, Laurent Willems, Christoph Reich, Sebastian Dill, Gökhan Güney, Christoph Hoog Antink:
Transformer Network with Time Prior for Predicting Clinical Outcome from EEG of Cardiac Arrest Patients. 1-4 - Shengzhe Li, Danya Agha-Jaffar, Dimitrios Panagopoulos, Konstantinos Ntagiantas, Ariana J. F. Hawkins, Liliang Wang, Prapa Kanagaratnam, Rasheda A. Chowdhury, Chris D. Cantwell:
Comparison of a Discrete-Cell and Dontinuum Model of Two-Dimensional Ventricular Tissues Under Modulation of Cx43. 1-4 - Michele Orini, Jose-Luis Flores, Nish Chaturvedi,