Joël M. H. Karel
Orcid: 0000-0001-6209-3589
According to our database1,
Joël M. H. Karel
authored at least 42 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Biol. Medicine, January, 2024
Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Influence of the Tikhonov Regularization Parameter on the Accuracy of the Inverse Problem in Electrocardiography.
Sensors, February, 2023
Biomed. Signal Process. Control., 2023
2022
Analysis of Atrial Fibrillation Dynamics in Body Surface Potential Maps and Electrocardiographic Imaging.
Proceedings of the Computing in Cardiology, 2022
2021
Frontiers Appl. Math. Stat., 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Multi-Label Classification on 12, 6, 4, 3 and 2 Lead Electrocardiography Signals Using Convolutional Recurrent Neural Networks.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Body-Surface Atrial Signals Analysis Based on Spatial Frequency Distribution: Comparison Between Different Signal Transformations.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Body-Surface Atrial Vector Similarity as a New Way to Investigate Atrial Fibrillation Propagation Dynamics.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
A novel framework for noninvasive analysis of short-term atrial activity dynamics during persistent atrial fibrillation.
Medical Biol. Eng. Comput., 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Use of Normalized Correlation Function to Discriminate Outcome of Persistent Patients Undergoing Electrical Cardioversion.
Proceedings of the Computing in Cardiology, 2020
Feasibility of ECG Reconstruction From Minimal Lead Sets Using Convolutional Neural Networks.
Proceedings of the Computing in Cardiology, 2020
CT-Scan Free Neural Network-Based Reconstruction of Heart Surface Potentials From ECG Recordings.
Proceedings of the Computing in Cardiology, 2020
2019
Frontiers Appl. Math. Stat., 2019
Neural Network-Based Matrix Completion for Minimal Configuration of Body Surface Potential Mapping.
Proceedings of the 46th Computing in Cardiology, 2019
Proceedings of the 46th Computing in Cardiology, 2019
2018
Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart.
Medical Biol. Eng. Comput., 2018
Circuits Syst. Signal Process., 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Performance Analysis of T-Wave-Offset Detection Algorithms on Patients With Cardiac Diseases.
Proceedings of the Computing in Cardiology, 2018
Proceedings of the Computing in Cardiology, 2018
2017
Noninvasive Characterization of Short- and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
Detection of Atrial Fibrillation Episodes from Short Single Lead Recordings by Means of Ensemble Learning.
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016
Noninvasive Recurrence Quantification Analysis Predicts Atrial Fibrillation Recurrence in Persistent Patients Undergoing Electrical Cardioversion.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Spatiotemporal Activation Time Estimation Improves Noninvasive Localization of Cardiac Electrical Activity.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
In-vivo Evaluation of Reduced-Lead-Systems in Noninvasive Reconstruction and Localization of Cardiac Electrical Activity.
Proceedings of the Computing in Cardiology, 2015
Sleep Apnea Detection Directly from Unprocessed ECG through Singular Spectrum Decomposition.
Proceedings of the Computing in Cardiology, 2015
2014
Adv. Data Sci. Adapt. Anal., 2014
2013
Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Inverse Reconstruction of Epicardial Potentials Improves by Vectorcardiography and Realistic Potentials.
Proceedings of the Computing in Cardiology, 2013
2012
Implementing Wavelets in Continuous-Time Analog Circuits With Dynamic Range Optimization.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012
Singular spectrum analysis improves analysis of local field potentials from macaque V1 in active fixation task.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Topographic imaging of the atrial electrical activity during atrial fibrillation for the analysis of uniform distributions of the surface electrical potentials.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Proceedings of the 31st European Solid-State Circuits Conference, 2005