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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, Alun D. Hughes:
Wearable-Derived Long-Term Heart Rate Variability Predicts Major Adverse Cardiovascular Events in Middle Aged Individuals Without Previous Cardiovascular Disease. 1-4 - Michele Orini, Stefan van Duijvenboden, Julia Ramírez, William J. Young, Andrew Tinker, Patricia B. Munroe, Pier D. Lambiase:
Ultra-Short Beat-to-Beat Repolarization Variability Predicts Cardiovascular Events in Individuals Without Cardiovascular Disease. 1-4 - Alba Isabel-Roquero, Pedro Gomis, Luis Tortosa, Alvaro Leva, Flavio Palmieri, Elena Arbelo:
Supervised Classification of Brugada Syndrome Patients by ECG-Derived Markers. 1-4 - Antonio Mendoza, Mehdi Razavi, Joseph R. Cavallaro:
Deep Learning System for Left Ventricular Assist Device Candidate Assessment from Electrocardiograms. 1-4 - Zhaoyang Cong, Minghui Zhao, Li Ling, Feifei Chen, Lukai Pang, Keming Cao, Jianqing Li, Chengyu Liu:
A Temporal-Spectral Based Single-lead Electroencephalogram Feature Fusion Network may Provide Potential Clinical Biomarker for Cardiac Arrest. 1-4 - Vitoria S. Souza, Sergio S. Furuie:
Spectral Profiles of Sonothrombolysis Bubble Radiation. 1-4 - Songchi Zhou, Shijia Geng, Jun Li, Deyun Zhang, Ziqian Xie, Chuandong Cheng, Shenda Hong:
Less is More: Reducing Overfitting in Deep Learning for EEG Classification. 1-4 - Vasanth Kumar Babu, Jaya Kumar Alageshan, Rahul Pandit:
Prediction of Spiral-Tip Trajectories via Pseudo-ECGs and LSTM Networks. 1-4 - Yingyi Geng, Yue Wang, Yanqiong Ye, Zhenyin Fu, Dongdong Deng, Yanqiu Feng, Wufan Chen, Ling Xia:
An Approach for Designing Patient-Specific Prosthetic Aortic Valves Based on CTA Images Using Fluid-Structure Interaction (FSI) Method. 1-4 - Márton Áron Goda, Peter H. Charlton, Joachim A. Behar:
Robust Peak Detection for Photoplethysmography Signal Snalysis. 1-4 - Joachim A. Behar, Jeremy Levy, Eran Zvuloni, Sheina Gendelman, Aviv Rosenberg, Shany Biton, Raphaël Derman, Jonathan A. Sobel, Alexandra Alexandrovich, Peter H. Charlton, Márton Áron Goda:
PhysioZoo: The Open Digital Physiological Biomarkers Resource. 1-4 - Niccoló Biasi, Paolo Seghetti, Alessandro Tognetti, Edward J. Vigmond:
Incremental Pacing Induces Sustained Reentry in a Computational Model of Brugada Syndrome. 1-4 - Márton Áron Goda, Ron Beloosesky, Chen B. David, Zeev Weiner, Joachim A. Behar:
Case Study: Fetal Breathing Movements as a Proxy for Fetal Lung Maturity Estimation. 1-4 - Agnese Sbrollini, MHD Jafar Mortada, Selene Tomassini, Haidar Anbar, Micaela Morettini, Laura Burattini:
DL-LVEF: Deep-Learning Measurement of the Left Ventricular Ejection Fraction from Echocardiographic Images. 1-4 - Francisco Manuel Melgarejo-Meseguer, Román A. Lara-Cueva, Francisco Javier Gimeno-Blanes, Sergio Muñoz-Romero, Arcadi García-Alberola, Juan José Sánchez-Muñoz, Omer Berenfeld, José Luis Rojo-Álvarez:
Multicomponent Organization Analysis in Spatial Domains of Atrial Fibrillation. 1-4 - Eva Casoni, Constantine Butakoff, Jazmin Aguado-Sierra, Violeta Puche, Beatriz Trénor, Javier Saiz, Mariano Vázquez:
A 3D Electromechanical Model of the Human Atria: A Realistic Framework for the Study of Atrial Fibrillation. 1-4 - Ahmad Agam, Peter Søgaard, Charlotte Burup Kristensen, Rasmus Møgelvang, Samuel Emil Schmidt:
Detecting Preload Changes Using Seismocardiography. 1-5 - Matteo Falanga, Giulio Molon, Carmelo Cicciò, Stefano Bonapace, Cristiana Corsi:
Dynamic Changes of Pulmonary Veins Ostia in Controls and Atrial Fibrillation Patients. 1-4 - Sapnil Sarker Bipro, Sumaiya Kabir, Mohammod Abdul Motin:
Monitoring Stress Using Electrocardiogram Signal. 1-4 - Heqing Zhan, Zefeng Wang, Chuan'an Wei, Jialun Lin:
Optogenetic Modulation of GtACR1 on Myocardial Electromechanical Properties: A Computational Study. 1-4 - Francesco Ferrati, Eduardo Gil, Jesús Lázaro:
Coverage of PPG-Based Wearable Devices in Office Tasks. 1-4 - Zuzana Koscova, Eniko Vargova, Jan Pavlus, Radovan Smísek, Ivo Viscor, Veronika Bulkova, Filip Plesinger:
Predicting Readmission of Heart Failure Patients. 1-4 - Beata Ondrusova, Peter Tino, Jana Svehlíková:
Inverse Solution Accuracy Using 12-Lead ECG vs 9 Significant Electrodes Derived by Greedy Algorithm. 1-4 - Alaa Alqaryuti, Nadeen Faraj, Mohamed Abdelmagid, Maher Maalouf, Herbert F. Jelinek:
Oxidative Stress Markers Identify Cardiac Autonomic Neuropathy Progression: Applying Machine Learning Methods. 1-4 - Philip Hempel, Philip Zaschke, Miriam Goldammer, Nicolai Spicher:
Fusion of Features with Neural Networks for Prediction of Secondary Neurological Outcome After Cardiac Arrest. 1-4 - Pradeep Bajracharya, Anton J. Prassl, Karli Gillette, Gernot Plank, Linwei Wang:
Parameter Estimation for Personalized Cardiac Models via Active Learning. 1-4 - Sachal Hussain, Matteo Falanga, Alessandro Dal Monte, Corrado Tomasi, Cristiana Corsi:
Left Atrial Appendage Contraction Analysis: A Preliminary Test on Atrial Fibrillation Patients. 1-4 - Elzbieta Pociask, Krzysztof Piotr Malinowski, MHD Jafar Mortada, Klaudia Proniewska, Peter M. van Dam:
Automatic Classification Normal ECGs Based on Normal PathECG and WaveECG Features. 1-4 - Mengyao Li, Le Xing, Alexander J. Casson:
Autoencoder Artefact Removal for Brain Signals and Impact on Classification Performance. 1-4 - Elisa Ramírez, Samuel Ruipérez-Campillo, Francisco Castells, Rubén Casado-Arroyo, José Millet:
Synchronization of Conventional Electrocardiogram Recordings for Accurate Vectorcardiography Reconstruction. 1-4 - Eugenio Ricci, Chiara Bartolucci, Moreno Marzolla, Stefano Severi:
Computational Investigation of Atrial Driving: how Sinoatrial Node Heterogeneity Affects the Heart Rate. 1-4 - Aleksandr Sinitca, Mikhail Chmelevsky, Stepan Zubarev, Aleksandr Shirshin, Arsenii Dokuchaev, Margarita Budanova, Chiara Arduino, Svyatoslav Khamzin, Anastasia Bazhutina, Sergei Rud, Werner Rainer:
A Machine Learning-Based Approach for Automatic Coronary Sinus Vein Segmentation and Anatomy Reconstruction. 1-4 - Gouthamaan Manimaran, Sadasivan Puthusserypady, Helena Dominguez, Jakob E. Bardram:
Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals. 1-4 - Eugenio Ricci, Chiara Bartolucci, Stefano Severi:
Quantification of Local Calcium Releases Contribution to Diastolic Depolarization in a 3D Model of Single Rabbit Sinoatrial Node Cell. 1-4 - Li Lyu, Wei Wang, Yuxin Lin, Kuanquan Wang:
Dronedarone's Efficacy in Preventing Arrhythmias During Myocardial Ischemia or Short QT Syndrome: A Computational Study. 1-4 - Riccardo Forni, Carmine Gelormini, Cristiana Corsi, Paolo Gargiulo:
Virtual Histology of the Heart Through CT Imaging: Preliminary Results of a Novel Noninvasive Approach for Cardiac Tissue Characterization. 1-4 - Kaveh Samiee, Péter Kovács:
ECG Decomposition Using Cascaded Spline Projection Residual Auto Encoders. 1-4 - Marco Orrù, Giulia Baldazzi, Stefano Bandino, Davide Zirolia, Livio Bertagnolli, Graziana Viola, Danilo Pani:
Introducing the ARGO Dataset of Post-Ischemic Ventricular Tachycardia Bipolar Electrograms. 1-4 - Vito Starc:
Localization of Ischemic Myocardial Segments from 12-Lead ECG Using the Spatial ECG. 1-4 - Sanjay Rajput, Alexandra Jamieson, Nish Chaturvedi, Alan Hughes, Michele Orini:
Assessment of Consumer-Grade Wearable Devices to Track Sleep in Healthy Individuals in Free-Living Conditions. 1-4 - Cristina Pérez, Esther Pueyo, Juan Pablo Martínez, Leif Sörnmo, Pablo Laguna:
Evaluation of a QT Adaptation Time Estimator for ECG Exercise Stress Test in Controlled Simulation. 1-4 - Subhash Khambampati, Sushanth Reddy Dondapati, Chaithanya Kalyan Reddy Bhuma, Bharadwaj Madiraju, Rahul Krishnan Pathinarupothi:
Frequency and Time Domain EEG Analysis for Prognostication of Postanoxic Comatose Patients. 1-4 - Kieran Williams, Alexandra Jamieson, Nish Chaturvedi, Alun D. Hughes, Michele Orini:
Validation of Wearable Derived Heart Rate Variability and Oxygen Saturation from the Garmin's Health Snapshot. 1-4 - Filippo Uslenghi, Roberto Sassi, Massimo Walter Rivolta:
Recovery from Coma after Cardiac Arrest: Which Time-Window Counts the Most for Deep Learning Predictions? 1-4 - Ilke Adalioglu, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Moncef Gabbouj:
SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection Using Multi-View Echocardiography. 1-4 - Feryal A. Alskafi, Ahsan H. Khandoker, Faezeh Marzbanrad, Herbert F. Jelinek:
Brain-Heart Interactions Modulate EEG Activity During Elicited Emotional States. 1-4 - Sara Frusone, Rafael Costa de Almeida, Douglas Almonfrey, Fabien Squara, Vicente Zarzoso:
Identifying Spatiotemporal Dispersion in Catheter Ablation of Persistent Atrial Fibrillation: A Comparative Study of Machine Learning Techniques Using Both Real and Realistic Synthetic Multipolar Electrograms. 1-4 - Giada S. Romitti, Alejandro Liberos, María Termenón-Rivas, Javier Barrios-Álvarez de Arcaya, Pau Romero, Dolors Serra, Ignacio García-Fernández, Miguel Lozano, Rafael Sebastián, Miguel Rodrigo:
Evaluation of Automata-Based Simulations for Atrial Fibrillation in 2D/3D Geometries Reproducing Disease Progression. 1-4 - Pablo Armañac-Julián, Adrián Martín-Montero, Salla Hietakoste, Jesús Lázaro, Samu Kainulainen, David Gozal, Roberto Hornero, Pablo Laguna, Gonzalo C. Gutiérrez-Tobal, Eduardo Gil, Raquel Bailón:
Characterization of Cardiopulmonary Coupling in Pediatric Patients with Obstructive Sleep Apnea. 1-4 - Matteo Falanga, Antonio Chiaravalloti, Corrado Tomasi, Cristiana Corsi:
A Digital Twin Approach for Stroke Risk Assessment in Atrial Fibrillation Patients. 1-4 - Alexander M. Zolotarev, Caroline H. Roney:
Atrial Fibrosis Distribution Generation Based on the Diffusion Models. 1-4 - Raphael Martins de Abreu, Beatrice Cairo, Vlasta Bari, Aparecida Maria Catai, Patrícia Rehder-Santos, Francesca Gelpi, Alberto Porta:
Causal Squared Coherence Analysis to Estimate Cardiorespiratory Coupling in Athletes. 1-4 - Hemin Ali Qadir, Naimahmed Nesaragi, Per Steiner Halvorsen, Ilangko Balasingham:
A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism. 1-4 - Yahya Alzaabi, Mostafa Moussa, Ahsan H. Khandoker:
The Correlation Between Phase Coherence of Respiratory Sinus Arrhythmia and Slow Wave Brain Activity is Altered in Depressed Patients with and Without Obstructive Sleep Apnea During Sleep. 1-4 - Andoni Elola, Iraia Isasi, Sara Entenza, Elisabete Aramendi, Lars Wik:
Classification of Cardiac Rhythms During Load-Distributing Band Cardiopulmonary Resuscitation. 1-4 - Md Mayenul Islam, Mohammod Abdul Motin:
Detection of Persistent Atrial Fibrillation Using ECG Signal. 1-4 - Vijay Vignesh Venkataramani, Akshit Garg, Maitreya Maity, U. Deva Priyakumar:
A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features. 1-4 - Svyatoslav Khamzin, Anastasia Bazhutina, Alexander Sinitca, Mikhail Chmelevsky, Stepan Zubarev, Margarita Budanova, Werner Rainer:
An Algorithm for Non-Invasive Mapping Based on Cardiac Anatomy and 12-Lead Electrocardiogram Data. 1-4 - Anastasia Bazhutina, Svyatoslav Khamzin, Mikhail Chmelevsky, Stepan Zubarev, Aleksandr Sinitca, Margarita Budanova, Werner Rainer:
An Automated Algorithm for Generating of AHA Model Based on 3D Heart Geometry. 1-4 - Anastasia Bazhutina, Svyatoslav Khamzin, Alexander Sinitca, Mikhail Chmelevsky, Stepan Zubarev, Margarita Budanova, Werner Rainer:
An Ensemble of Machine Learning Models for Multilabel Classification of Cardiovascular Diseases by ECGs. 1-4 - Alba Ramos-Prada, Jorge García-Quintanilla, Andrés Redondo-Rodrizuez, Jose Manuel Alfonso-Almazán, Daniel Enríquez-Vázquez, Javier Sanchez-González, David Filgueiras-Rama:
Infarct-Related Myocardial Regions with Functional Relevance During Pacing and Ventricular Tachycardia Show Similar Underlying Substrate. 1-4 - Allan R. Moser, Jackie T. Le, Lys K. P. Kang:
An Optimization Approach to EEG Feature Extraction for the Prediction of Neurological Outcome. 1-4 - Lucía Pancorbo, Samuel Ruipérez-Campillo, Francisco Castells, José Millet:
Heterogeneity Quantification of Electrophysiological Signal Propagation in High-Density Multielectrode Recordings. 1-4 - Daniel Guldenring, Dewar D. Finlay, Raymond R. Bond, Alan Kennedy, Peter Doggart, Ghalib Janjua, James McLaughlin:
Influence of the Training Set Composition on the Estimation Performance of Linear ECG-Lead Transformations. 1-4 - Filip Plesinger, Zuzana Koscova, Eniko Vargova, Jan Pavlus, Radovan Smísek, Ivo Viscor, Veronika Bulkova:
The Effect of Missing Data when Predicting Readmission in Heart Failure Patients. 1-4 - Javier Barrios-Álvarez de Arcaya, María Termenón-Rivas, Giada S. Romitti, Rafael Sebastián, Alejandro Liberos, Miguel Rodrigo:
Role of Fiber Direction and Ionic Heterogeneities in Atrial Arrhythmia Simulations. 1-4 - María Termenón-Rivas, Javier Barrios-Álvarez de Arcaya, Giada S. Romitti, Pau Romero, Dolors Serra, Ignacio García-Fernández, Miguel Lozano, Rafael Sebastián, Alejandro Liberos, Miguel Rodrigo:
Substrate-Specific Simulations of Atrial Fibrillation Reproducing Electrophysiological Clinical Markers. 1-4 - Rayo Akande, James Brimicombe, Martin R. Cowie, Andrew Dymond, Hannah Clair Lindén, Gregory Y. H. Lip, Jenny Lund, Jonathan Mant, Madhumitha Pandiaraja, Emma Svennberg, Kate Williams, Peter H. Charlton, Peter Charlton:
Characterising RR Intervals in Atrial Fibrillation Detected Through Screening. 1-4 - Zayd Isaac Valdez, Luz Diaz, Antonio Ravelo-García, Miguel Vizcardo Cornejo:
Chagas Disease: An Analysis with Temporal Features Extraction, Permutation Entropy and a Stratification of Heart Risk by a Deep Learning Model. 1-4 - Zayd Isaac Valdez, Luz Diaz, Antonio Ravelo-García, Miguel Vizcardo Cornejo:
Fetal Arrhythmia: Deep Learning and Clustering Techniques, Analysis Through Permutation Entropy and Genetic Algorithms in Its Early Diagnosis. 1-4 - Ricardo M. Rosales, Konstantinos A. Mountris, Manuel Doblaré, Manuel M. Mazo, Esther Pueyo:
In Silico Assessment of Arrhythmic Risk in Infarcted Ventricles Engrafted with Engineered Heart Tissues. 1-4 - Yutong Sun, Shiwei Lu, Chongshang Zhao, Yanqiu Feng, Wufan Chen, Ling Xia, Dongdong Deng:
A Fully Automated Two-Stage Segmentation Approach for Late Gadolinium-Enhanced Cardiac Magnetic Resonance Images in Personalized Cardiac Modeling. 1-4 - Adel Hassan, Liam Ferreira:
Variational Autoencoders for Electroencephalogram Feature Extraction in Patients with Coma After Cardiac Arrest. 1-3 - Roberto Mateos-Gaitán, Antonio Gil-Izquierdo, Francisco Javier Gimeno-Blanes, Francisco Manuel Melgarejo-Meseguer, Carmen Muñoz-Esparza, José Luis Rojo-Álvarez, Arcadi García-Alberola, Juan José Sánchez-Muñoz:
Signal Processing and Machine Learning Automated Evaluation of Phrenic Nerve Affectation by Cardiac Stimulation. 1-4 - Carmen Martínez Antón, Jorge Sánchez, Nansi Caslli, Lena Heinemann, Laura Anna Unger, Axel Loewe, Olaf Dössel:
In Silico Computation of Electrograms and Local Electrical Impedance to Assess Non-Transmural Fibrosis. 1-4 - Chiara Celotto, Carlos Sánchez, Mostafa Abdollahpur, Frida Sandberg, Pablo Laguna, Esther Pueyo:
Dependence of Atrial Fibrillatory Rate Variations Induced by Head-Up/Down Tilt-Test on Autonomic Action. 1-4 - Alejandro Liberos, Ximo Garcia-Gimeno, Giada S. Romitti, Ignacio García-Fernández, Miguel Lozano, Rafael Sebastián, Miguel Rodrigo:
Role of Heterogeneous Ionic Profiles in Atrial Fibrillation Propagation. A Population of Models Study. 1-4 - Matias Kanniainen, Teemu Pukkila, Matti Molkkari, Esa Räsänen:
Effect of Diurnal Rhythm on RR Interval Correlations of Long QT Syndrome Patients. 1-4 - Martin S. Andersen, Johannes J. Struijk, Samuel E. Schmidt:
Automatic Detection of Acoustic Window During Echocardio-graphic Imaging. 1-4 - Noor Qaqos, Fernando S. Schlindwein, G. André Ng, Xin Li:
Choosing Electrogram Features for Predicting Catheter Ablation Outcomes in Persistent Atrial Fibrillation. 1-4 - Herbert F. Jelinek, Lama Rehman, Mika P. Tarvainen, Mohammed Andron:
Risk of Post-Percutaneous Coronary Intervention Adverse Cardiac Events: What Does the Autonomic Nervous Systems Have to Do with It? 1-4 - Jorge Sánchez, Karla Arévalo Ruales, María Macarulla-Rodríguez, Cristian Barrios Espinosa, Axel Loewe, María S. Guillem:
Inflammation-Induced Remodeling and Atrial Arrhythmias in Systemic Lupus Erythematosus: In Silico Insights. 1-4 - Inés Noguero-Soler, Javier Ramos-Maqueda, Pablo Revilla-Martí, Esther Pueyo, Ana Mincholé:
ECG Morphology-Based Markers for Risk Stratification in Hypertrophic Cardiomyopathy. 1-4 - Olibhéar McAlister, Adam Harvey, Paul Crawford, Raymond R. Bond, Dewar D. Finlay:
Characterising Resuscitation Events Using Wavelet Transforms of Digital Stethoscope Recordings During Cardiac Arrest. 1-4 - Rita Laureanti, Paolo A Terranova, Alberto Lomuscio, Valentina D. A. Corino, Luca T. Mainardi:
Cardiac Effect of Acupuncture on the Neiguan Point. 1-4 - Shuaixun Wang, Siyi Liu, Martyn G. Boutelle:
Combining Complementary Models: Fusing CNNs, RNNs, and XGBoost for Enhanced Outcome Prediction of Comatose Patients after Heart Attack. 1-4 - Noor Qaqos, Fernando S. Schlindwein, G. André Ng, Xin Li:
Evaluating Electrograms Domain Knowledge for Enhancing Catheter Ablation Outcomes Based on Time Series Features. 1-4 - Daniele Padovano, Arturo Martínez-Rodrigo, José Manuel Pastor, José Joaquín Rieta, Raúl Alcaraz:
Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection. 1-4 - David J. Cornforth, Shiza Saleem, Helmut Ahammer, Robert Krones, Dominik Wehler, Herbert F. Jelinek:
Heart Rate Variability Differentiates Between Vasovagal Syncope and Palpitation Related Fainting. 1-4 - Miriam Gutiérrez-Fernández-Calvillo, Miguel Ángel Cámara-Vázquez, Ismael Hernández-Romero, Carlos Fambuena-Santos, María S. Guillem, Andreu M. Climent, Óscar Barquero-Pérez:
EGM Reconstruction from BSPs in Atrial Fibrillation Using Deep Learning. 1-4 - Trygve Eftestøl, Mari A Hognestad, Sander A. Søndeland, Ali Bahrami Rad, Elisabete Aramendi, Lars Wik, Jo Kramer-Johansen:
A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients. 1-4 - Patricia A S. Guenkawa, Sergio S. Furuie:
An Analysis of Cavitation in Sonothrombolysis through Convolutional Neural Networks. 1-4 - Isaac Sears, Augusto Garcia-Agundez, George Zerveas, William Rudman, Laura Mercurio, Corey E. Ventetuolo, Adeel Abbasi, Carsten Eickhoff:
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest. 1-4 - Simanto Saha, Raquib-ul Alam, Andrea Samore, Andrew J. Goodwin, Michael Loong-Siong Wong, Alistair Lee McEwan, Collin Anderson:
Time-Embedded EEG Sequence Learning for Comatose Patients' Prognosis. 1-4 - Antonio G. C. Santos, João Alexandre Lôbo Marques, Luís O. Rigo, João Paulo do Vale Madeiro:
Exploring EEG Signal Features for Predicting Post Cardiac Arrest Prognosis. 1-4 - Shivnarayan Patidar, Nidhi Kalidas Sawant:
A Tensor Decomposition-Based Feature Extraction Method to Predict Neurological Recovery from Coma After Cardiac Arrest Using EEG Signals. 1-4 - Jakub Hejc, Richard Redina, Jana Kolarova, Zdenek Starek:
Epycon: A Single-Platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats. 1-4 - Clara Sales, Ana Mincholé, Jorge Melero-Polo, Mercedes Cabrera-Ramos, Isabel Montilla-Padilla, Laura Sorinas, Inés Julián, Esther Pueyo, Javier Ramos:
Left Bundle Branch Area Pacing Generates More Physiological Ventricular Activation Sequences than Right Ventricular Pacing. 1-4 - Fatimah M. Al-Ani, Shiza Saleem, Bayan S. Obeid, Yasser O. Kassar, Nadia Rabeh, Carl H. Kassab, Rajan R. K. Prasad, Herbert F. Jelinek, Zakia Dimassi:
Complex Correlation Method Identifies Efficacy of One-week Mindfulness Training in College Students. 1-4 - Davyd Melo, João Paulo Madeiro, Luís O. Rigo, Cláudia do Ò Pessoa, Jose Antonio Macêdo, Danielo G. Gomes:
A Semantic Segmentation-Based Digitization of ECG Papers. 1-4 - Elena Ryzhii, Maxim Ryzhii:
Formation of the Wenckebach Periodicity in a Mathematical Model of Rabbit AV Node. 1-4 - Jakub Hejc, Richard Redina, David Pospisil, Ivana Rakova, Jana Kolarova, Zdenek Starek:
Weakly Supervised P Wave Segmentation in Pathological Electrocardiogram Signals Using Deep Multiple-Instance Learning. 1-4 - Ludovica Cestariolo, Jose Maria Ferrero, Zachary Long, T. Alexander Quinn, José F. Rodríguez Matas:
Towards the Development of an in Silico Model for the Zebrafish Action Potential. 1-4 - Álvaro José Bocanegra, Anaïs Espinoso, Ralph G. Andrzejak, Oscar Camara:
EEG-Based Cardiac Arrest Outcome Estimation with Highly Interpretable Features. 1-4 - Semhar B. Misghina, José Alonso Solís-Lemus, Edward J. Vigmond, Steven A. Niederer, Caroline H. Roney:
Biatrial Modelling for In Silico Prediction of Atrial Fibrillation Inducibility. 1-4 - Álvaro José Bocanegra, Diego Penela, Rafael Sebastián, Guillermo Jiménez-Pérez, Andrea Saglietto, David Soto-Iglesias, Antonio Berruezo, Gemma Piella, Oscar Camara:
Automatic Prediction of the Origin in Outflow Tract Ventricular Arrhythmias with Machine Learning Combining Clinical Data and Electrocardiogram Analysis. 1-4 - Matteo Costi, Isabella Della Torre, Jose Maria Ferrero, José Felix Rodriguez Matas:
Electrotonic Coupling Effect on Pharmacological Cardiotoxicity Assessment in Atrial Tissue. 1-4 - Leire Moriones, Iker González, Blas Echebarria, Susana Ravassa, Javier Ibero, Ignacio García-Bolao, Jean Bragard:
A Comparison of Methodologies for Pulmonary Veins Segmentation in High Definition Voltage Maps of Patients with Atrial Fibrillation. 1-4 - Fazeelat Mazhar, Chiara Bartolucci, Cristiana Corsi, Stefano Severi:
Investigation of Key Cellular Targets in Atrial Fibrillation Induced Electromechanical Remodeling Using Human Atrial Cardiomyocytes Model. 1-4 - Parisa Sattar, Elisa Facchini, Giulia Baldazzi, Nicla Mandas, Elisa Casaglia, Michela Figorilli, Laura Giorgetti, Pietro Mattioli, Dario Arnaldi, Monica Puligheddu, Danilo Pani:
Heart Rate Variability during Sleep-Related Wake Phases in REM Sleep Behavior Disorder. 1-4 - João Paulo do Vale Madeiro, Luís Otávio Rigo, Roberto Coury Pedrosa:
Feature Extraction Strategies for Predicting Reduced Left Ventricular Ejection Fraction in Chagas Disease Patients. 1-4 - Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz:
Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment. 1-4 - Irene Suriani, R. Arthur Bouwman, Massimo Mischi, Kevin D. Lau:
An In-Silico Study of Sex Differences in Carotid Hemodynamic Waveforms. 1-4 - Md. Moklesur Rahman, Massimo Walter Rivolta, Fabio Badilini, Roberto Sassi:
Quantifying Uncertainty of a Deep Learning Model for Atrial Fibrillation Detection from ECG Signals. 1-4 - Julia Ramírez, Antonio Miguel, Stefan van Duijvenboden, Michele Orini, William J. Young, Andrew Tinker, Pier D. Lambiase, Patricia B. Munroe, Juan Pablo Martínez:
A Multilayer CNN Using the ECG, Age and Sex Predicts Ventricular Arrhythmias in the General Population. 1-4 - Ander Loidi, Nuria Lopez, Beatriz Trénor, Jose Maria Ferrero:
What Type of Drug Would be Antiarrhythmic in Acute Myocardial Ischemia? Insights from Simulations. 1-4 - Freddy L. Bueno-Palomeque, Konstantinos A. Mountris, Nuria Ortigosa, Raquel Bailón, Bart H. Bijnens, Fátima Crispi, Esther Pueyo, Ana Mincholé, Pablo Laguna:
QRS Width and T-Peak to T-End Interval Are Prolonged in Preadolescents with Severe Intrauterine Growth Restriction at Birth when Compared to Controls. 1-4 - Anna Busatto, Lindsay C. Rupp, Karli Gillette, Akil Narayan, Gernot Plank, Rob S. MacLeod:
Capturing the Influence of Conduction Velocity on Epicardial Activation Patterns Using Uncertainty Quantification. 1-4 - Maryam Toloubidokhti, Omar A. Gharbia, Natalia A. Trayanova, John L. Sapp, Linwei Wang:
Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit. 1-4 - Samuel J. Hill, Ronak Rajani, Adelaide de Vecchi:
Implications of Hemodynamic Forces on Device Stability in Transcatheter Mitral Valve Replacement. 1-4 - Benjamin A. Orkild, Jake A. Bergquist, Eric Paccione, Matthias Lange, Eugene Kwan, Bram Hunt, Rob S. MacLeod, Akil Narayan, Ravi Ranjan:
A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations. 1-4 - Parshuram N. Aarotale, Ajita Rattani:
Deep Learning Models for Arrhythmia Classification Using Stacked Time-frequency Scalogram Images from ECG Signals. 1-4 - Laura García-Mendívil, María Pérez-Zabalza, Ricardo M. Rosales, José M. Vallejo-Gil, Javier Fañanás-Mastral, Manuel Vázquez-Sancho, Javier André Bellido-Morales, Alexánder Sebastián Vaca-Núñez, Carlos Ballester-Cuenca, Laura Ordovás, Esther Pueyo:
Physiological Variations in CX43 and Fibrosis Deposition Affect Human Ventricular Electrophysiology Promoting Arrhythmia. 1-4 - Pravitha Ramanand, Premananda Indic, Samuel J. Gentle, Namasivayam Ambalavanan:
Interdependence in the Cardiorespiratory Network of Preterm Infants with Pulmonary Hypertension Using Mutual Information Analysis. 1-4 - Violeta Puche-García, Lucía Romero, Javier Saiz:
Computational Study of Drug Effects on Different Atrial Fibrillation Stages. 1-4 - Evgeny Lyan, Likoh Nicholson, Adrian Zaman, Vera Maslova, Derk Frank, Thomas Demming:
Similarity Prediction of Intracardiac Electrograms Images Using Regression Model Based on Siamese Network Architecture. 1-4 - Mohamadamin Forouzandehmehr, Soudabeh Ghosi, Michelangelo Paci, Jari Aarne Kalevi Hyttinen, Jussi T. Koivumäki:
Mechanosensitive Channel Piezo1 in R403Q Hypertrophic Cardiomyopathy: A Computational Study. 1-4 - R. Romanelli, Angela S. M. Salinet, R. C. Nogueira, João Salinet:
Prediction of Stroke Diagnosis Through a Classification Model Based on Cerebral Autoregulation: A Preliminary Study. 1-4 - Rafael Teodoro Ors-Quixal, Elisa Ramírez-Candela, Samuel Ruipérez-Campillo, Francisco Sales Castells Ramón, José Millet:
3D CNN as an Approach to Predict the Cerebral Performance of Comatose Patients. 1-4 - Mateusz Solinski, Courtney N. Reed, Elaine Chew:
Time Delay Stability Analysis of Pairwise Interactions Amongst Ensemble-Listener RR Intervals and Expressive Music Features. 1-4 - Eric Paccione, Matthias Lange, Benjamin A. Orkild, Jake A. Bergquist, Eugene Kwan, Bram Hunt, Derek J. Dosdall, Robert S. MacLeod, Ravi Ranjan:
Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model. 1-4 - James Skoric, Yannick D'Mello, David V. Plant:
Synthetic Seismocardiography Signal Generation by a Generative Adversarial Network. 1-4 - Parastoo Dehkordi, Kouhyar Tavakolian, Zhen-Gang Xiao, Farzad Khosrow-Khavar:
Introducing the Electromechanical Risk Factor Score Derived from Seismocardiography for Estimating the Likelihood of Coronary Artery Disease. 1-4 - Inês W. Sampaio, Matteo Leccardi, Cristian Drudi, Jiaying Liu, Francesca Righetti, Anna M. Bianchi, Riccardo Barbieri, Luca T. Mainardi:
Predicting Comatose Patient's Outcome Using Brain Functional Connectivity with a Random Forest Model. 1-4 - Mateusz Solinski, Courtney N. Reed, Elaine Chew:
Triangle Simplex Plots for Representing and Classifying Heart Rate Variability. 1-4 - Jana Svehlíková, Nika Rasoolzadeh, Beata Ondrusova, Peter Hlivak, Yesim Serinagaoglu Dogrusoz:
Two Approaches for Inverse PVC Localization from Clinical ECG Data Using Heart Surface Potentials. 1-4 - Derek Kweku Degbedzui, Michael Kuzniewicz, Marie-Coralie Cornet, Yvonne Wu, Heather Forquer, Lawrence Gerstley, Emily F. Hamilton, Doina Precup, Philip A. Warrick, Robert E. Kearney:
Hybrid Scattering Transform - Long Short-Term Memory Networks for Intrapartum Fetal Heart Rate Classification. 1-4 - Junmo An, Ben Bailey, Richard E. Gregg:
Paradigm Shift from Feature-Based Machine Learning to End-to-End Deep Residual Neural Networks for Pediatric Age Classification from 12-Lead ECG. 1-4 - Luiz Eduardo Virgilio da Silva, Hunter A. Gaudio, Nicholas J. Widmann, Rodrigo M. Forti, Viveknarayanan Padmanabhan, Kumaran Senthil, Julia M. Slovis, Constantine D. Mavroudis, Yuxi Lin, Lingyun Shi, Wesley B. Baker, Ryan W. Morgan, Todd J. Kilbaugh, Fuchiang (Rich) Tsui, Tiffany S. Ko:
Influence of Chest Compression on Amplitude Spectrum Area for the Prediction of the Return of Spontaneous Circulation in a Pediatric Swine Model. 1-4 - Anna Crispino, Alessandro Loppini, Ilija Uzelac, Simonetta Filippi, Flavio H. Fenton, Alessio Gizzi:
Spatiotemporal Correlation Analysis of Cardiac Activation Patterns in Langen-Dorff-Perfused Human Hearts: Insights for Arrhythmia Prediction. 1-4 - João Gabriel Soares Ferreira, Luís Otávio Rigo, Roberto Coury Pedrosa, João Paulo do Vale Madeiro:
Prediction of Left Ventricular Ejection Fraction Using an ECG-based LSTM Model in Chagas Disease Patients. 1-4 - Johann Varzas-Calixto, Yvonne Wu, Michael Kuzniewicz, Marie-Coralie Cornet, Heather Forquer, Lawrence Gerstley, Emily F. Hamilton, Philip A. Warrick, Robert E. Kearney:
Prediction of Hypoxic-Ischemic Encephalopathy Using Events in Fetal Heart Rate and Uterine Pressure. 1-4 - Arash Shokouhmand, Haoran Wen, Samiha Khan, Joseph A. Puma, Amisha Patel, Philip Green, Farrokh Ayazi, Negar Ebadi:
Prospects of Cuffless Pulse Pressure Estimation from a Chest-Worn Accelerometer Contact Microphone. 1-4 - Adrienne E. Campbell-Washburn:
Image-Guided Cardiac Interventions Using Contemporary Mid-Field Magnetic Resonance Imaging. 1-4 - Cristian Drudi, Maximiliano Mollura, Riccardo Barbieri:
Analysis of Reward Formulation Based on Mean Arterial Pressure in Reinforcement Learning for Critically Ill Septic Patient. 1-4 - Tuomas Halkola, Sinikka Yli-Mäyry, Kjell Nikus, Antti Vehkaoja:
Using Wearable Photoplethysmography for Detecting Atrial Fibrillation in Ambulatory Conditions. 1-4 - Joshua Steyer, Fatemeh Chegini, Mark Potse, Axel Loewe, Martin Weiser:
Continuity of Microscopic Cardiac Conduction in a Computational Cell-by-Cell Model. 1-4 - Caterina Vidal Horrach, Ovais Ahmed Jaffery, Ross J. Hunter, Shohreh Honarbakhsh, Caroline H. Roney:
Patient-Specific Atrial Fibrillation Simulation Prediction Depend on Rhythm Used for Calibration. 1-4 - Johannes J. Struijk, Peter Søgaard, Kasper Sørensen, Lana Barawi, Bertram Vorm, Mette Thomsen, Samuel E. Schmidt:
A Comparison of Infrasonic and Audio Components in the Seismocardiogram. 1-4 - Silvia Ibrahimi, Massimo Walter Rivolta, Roberto Sassi:
Injecting Domain Knowledge in Deep Learning Models for Automatic Identification of Myocardial Infarction from Electrocardiograms. 1-4 - Jimena Gabriela Siles, Ilija Uzelac, Vinicius Silva, Italo Sandoval, Giovanni Weber, João Salinet:
Simultaneous Recording of Electrical and Panoramic Optical Mapping From Ex-vivo Isolated Rabbit Hearts: From Sinus Rhythm to Induced Arrhythmia. 1-4 - Nikhil Shenoy, Maryam Toloubidokhti, Linwei Wang, Vivek Singh, Ankur Kapoor:
A 3D Camera-Based Approach to High-Density ECG Imaging. 1-4 - Obianom Ekenedirichukwu, Marko Mäkynen, Noor Qaqos, Shamsu Idris Abdullahi, Fernando S. Schlindwein, G. André Ng, Xin Li:
Predicting Cardiac Arrest Recovery with Shallow and Deep Learning Models. 1-4 - José Alberto García-Limón, Carlos Alvarado-Serrano, Ramon Casanella:
A Novel Wearable Insole BCG as a Surrogate of the Standard Vertical Weighing Scale BCG. 1-4 - Sadaf Moharreri, Shahab Rezaei, Nader Jafarnia Dabanloo, Saman Parvaneh:
Study of Traditional and Enhanced Poincare Plot Descriptors for Atrial Fibrillation Detection. 1-4 - Alba Martín-Yebra, Joaquín Molinos, Juan Pablo Martínez:
Assessment of QT Interval Dynamics Induced by Heart Rate Changes Through Bivariate Phase-Rectified Signal Averaging. 1-4 - Alexander Hammer, Hagen Malberg, Martin Schmidt:
Cardiovascular Reflections of Sympathovagal Imbalance Precede the Onset of Atrial Fibrillation. 1-4 - Ovais Ahmed Jaffery, Caterina Vidal Horrach, Daniel J. Lagalante, George Thomas, Gregory G. Slabaugh, Lea Melki, Wilson W. Good, Caroline H. Roney:
Subject-Specific Ablation of Pathologic Conduction Patterns Beyond the Pulmonary Veins: A Personalised Modelling Approach. 1-4 - José Alberto García-Limón, Carlos Alvarado-Serrano, Ramon Casanella:
An Improved Estimation of Unsuitable Segments of Ballistocardiography Records Using Wavelet Transforms. 1-4 - Mahmoud Ehnesh, Johanna Tonko, Alexander M. Zolotarev, Edward J. Vigmond, Pier D. Lambiase, Caroline H. Roney:
The Impact of Electrogram Type and Conduction Velocity Estimation Techniques on Assessments of Conduction Velocity During Ventricular Substrate Mapping. 1-4 - Thaís Winkert, P. R. Benchimol-Barbosal, Jurandir Nadal:
Baseline Drifting Correction for Automated MTWA Measurements. 1-4 - Mohamed Zaid, Raul Invernizzi, Lorenzo Sala, Laurel Despins, Mihail Popescu, James Keller, Marjorie Skubic, Riccardo Sacco, Marcela Szopos, Virginia H. Huxley, Giovanna Guidoboni:
Analysis of the Contribution of Cardiovascular Compartments to the Ballistocardiogram Signal Using Mathematical Modeling. 1-4 - Shoale Badr, Flavio H. Fenton, Elizabeth M. Cherry:
Reconstructing Cardiac Voltage Using Data Assimilation: Effects of Observation Distribution. 1-4 - Neurys Gómez, Julia Ramírez, Alba Martín-Yebra, Marina Demidova, Pyotr G. Platonov, Juan Pablo Martínez, Pablo Laguna:
Changes in T-Peak-to-T-End Morphology Measured by Time-Warping are Associated with Ischemia-Induced Ventricular Fibrillation in a Porcine Model. 1-4 - Loïc Jeanningros, Jérôme Van Zaen, Clémentine Aguet, Mathieu Le Bloa, Alessandra Porretta, Cheryl Teres, Claudia Herrera, Giulia Domenichini, Patrizio Pascale, Adrian Luca, Jorge Solana Muñoz, Jean-Marc Vesin, Jean-Philippe Thiran, Etienne Pruvot, Mathieu Lemay, Fabian Braun:
Abnormal Cardiac Rhythm Detection Based on Photoplethysmography Signals and a Recurrent Neural Network. 1-4 - S. Mula, Roberto Zangróniz, José Joaquín Rieta, Raúl Alcaraz:
Study on the Generalization Ability of Accelerometer Threshold-Based Methods for Noise Detection in PPG Signals. 1-4 - Samuel M. Camargo, Beatriz M. Silva, Matheus W. U. Pereira, Ana L. G. dos Santos, Stella T. Maximo, William Tsutomu Watanabe, José Luis Puglisi, Daniel Gustavo Goroso:
Assessing Autonomic Nervous System Imbalance in Post-COVID-19 Patients Through Heart Rate Variability During Tilt Testing. 1-4 - Bram Hunt, Eugene Kwan, Tolga Tasdizen, Jake Bergquist, Matthias Lange, Benjamin A. Orkild, Robert S. MacLeod, Derek J. Dosdall, Ravi Ranjan:
Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation. 1-4 - Andrea Pitzus, Giulia Baldazzi, Luigi Raffo, Graziana Viola, Danilo Pani:
Arrhythmogenic Sites Mapping in Post-Ischemic Ventricular Tachycardia Using a Siamese Neural Network. 1-4 - Erika Bondareva, Georgios Rizos, Jing Han, Cecilia Mascolo:
Embracing the Imaginary: Deep Complex-valued Networks for Heart Murmur Detection. 1-4 - Shahriar Iravanian, Mikael J. Toye, Ilija Uzelac, Neal K. Bhatia, Elizabeth M. Cherry, Flavio H. Fenton:
A Combinatorial Algorithm to Detect Higher-Order Dynamics in Cardiac Signals. 1-4 - Omar J. Escalona, Brommely Finn, Mohammad L. Karim, Antonio M. Bosnjak, David J. McEneaney:
Subcutaneous Tissue Transient Thermal Profiling Under RF-Energy Pulsed Wireless Supply to 3W-8W Rated LVAD in the Living and Cadaver Models. 1-4 - Saúl Palacios, Radovan Smísek, Karol Curila, Uyen Chau Nguyen, Frits W. Prinzen, Josef Halámek, Filip Plesinger, Pavel Jurák, Juan Pablo Martínez, Esther Pueyo:
Spatial Dispersion of Activation and Repolarization Times Associated with Different Cardiac Pacing Modes. 1-4 - Taher A. Biala, Ahmad Ramahi, Obianom Ekenedirichukwu, Xin Li, Fernando S. Schlindwein:
Use of AI to Assess Control and Diseased Children at 10 Years of Age. 1-4 - Charlotte Maschke, Kira Dolhan, Beatrice P. de Koninck, Miriam Han, Stefanie Blain-Moraes:
Functional Outcome Prediction after Cardiac Arrest Using Machine Learning and Network Dynamics of Resting-State Electroencephalography. 1-4 - Darby I. Cairns, Maxfield R. Comstock, Flavio H. Fenton, Elizabeth M. Cherry:
Automated Customization of Cardiac Electrophysiology Models to Facilitate Patient-Specific Modeling. 1-4 - Evan Rheaume, Hector Augusto Velasco-Perez, Darby I. Cairns, Maxfeild Comstock, Elisa Rheaume, Abouzar Kaboudian, Ilija Uzelac, Elizabeth M. Cherry, Flavio H. Fenton:
A Modified Fitzhugh-Nagumo Model that Reproduces the Action Potential and Dynamics of the Ten Tusscher et al. Cardiac Model in Tissue. 1-4 - Jimena Rodríguez-Carbó, Ana Mincholé, Esther Pueyo:
ECG-Based Characterization of Acute Ischemia During Percutaneous Coronary Intervention. 1-4 - Ryan Missel, Jesdin Raphael, Christopher M. Haggerty, Dustin N. Hartzel, Jeffery Ruhl, Brandon K. Fornwalt, Linwei Wang:
A Comparative Analysis of Data-Driven Modelling Techniques for 30-Day Heart Failure Readmission Prediction. 1-4 - Maxfield R. Comstock, Elizabeth M. Cherry:
Speeding up Cardiac Simulations with Parallel-in-Time Solvers. 1-4 - Bill Chen, Jiamu Yang, Ke W. Wang, Hayoung Jeong, Perisa Ashar, Leeor Hershkovich, Md. Mobashir Hasan Shandhi, Jessilyn P. Dunn:
Neurological Outcome Prediction After Cardiac Arrest: A Multi-Level Deep Learning Approach with Feature and Decision Fusion. 1-4 - Mehri Bagheri-Mohamadi-Pour, Rodney Sparapani, Jun Zhang, Jacquelyn Kulinski:
A Statistical Comparison of Heart Rate Variability Measurements Between Devices: Chest Strap Versus Finger Probe. 1-4 - Laura M. Muñoz, Anna E. Marks, Julio A. Santiago-Reyes, Mark O. Ampofo, Elizabeth M. Cherry:
Observability Analysis of Data Reconstruction Strategies for a Cardiac Ionic Model. 1-4 - Richard J. Povinelli, Mathew Dupont:
A Dynamical Systems Approach to Predicting Patient Outcome After Cardiac Arrest. 1-4 - Sara A. Nasrat, Ahsan Khandoker, Herbert F. Jelinek:
Crucial Events Identify Emotion Granularity from Long-Term ECG Recordings. 1-4 - Nicole Cullen, Omar J. Escalona, Rafatul A. Fahima, Idongesit Weli:
Combined Linear IIR and FIR Denoising Processes for Arm-ICG Waveform Features Determination in Ambulatory Cardiac Stroke-Volume Monitoring. 1-4 - Mohammad Ali Zamani, Ethan Grooby, James Lacey, Atul Malhotra, Faezeh Marzbanrad:
Detecting Patent Ductus Arteriosus in Neonatal Phonocardiograms. 1-4 - Sara A. Nasrat, Ahsan Khandoker, Herbert F. Jelinek:
Optimizing Multiscale Entropy Analysis for the Detection of Cardiac Pathology. 1-4 - Matthew Kolisnyk, Xiaoyu Wang, Chao Guo, Shigeng Xie, Karnig Kazazian, Loretta Norton, Teneille Gofton, Saptharishi Lalgudi Ganesan, Adrian M. Owen, Derek Debicki:
Prediction of Functional Recovery Post-Cardiac Arrest Using an Ensemble of Extreme Gradient-Boosted Trees. 1-4 - Jefferson Dionisio, Che Lin, Lian-Yu Lin, Wen-Chau Wu:
Predicting Neurological Outcomes of Comatose Cardiac Arrest Patients Using Transformer Neural Networks with EEG Data. 1-4 - Francesca Gelpi, Vlasta Bari, Beatrice Cairo, Sara Pugliese, Martina Anguissola, Beatrice De Maria, Elena Acerbi, Mattia Squillace, Marco Ranucci, Francesco Bedogni, Alberto Porta:
Cerebral Autoregulation in Transcatheter Aortic Valve Implantation Patients. 1-4 - Vasanth Kumar Babu, Navneet Roshan, Rahul Pandit:
Deep-Learning-Assisted Prediction of Neurological Recovery from Coma After Cardiac Arrest. 1-4 - Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, Hyeokhyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford:
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. 1-4 - Yasuyuki Kataoka, Jon Peterson:
Nonlinear Hemodynamic Control Design via Input-Output Linearization. 1-4 - Maurice Rohr, Monika Hoog Antink, Sebastian Dill, Christoph Hoog Antink:
Using Consumer Camera and Custom Firmware to Monitor Heart Rate in Terminally Ill Children during Music Therapy. 1-4 - Rosanna Degani Young:
Computing in Cardiology 2023 Awards Summary. 1-3
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