G. André Ng
Orcid: 0000-0001-5965-0671Affiliations:
- University of Leicester, Department of Cardiovascular Sciences, UK
- University of Glasgow, UK (PhD 1997)
According to our database1,
G. André Ng
authored at least 43 papers
between 2011 and 2024.
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Bibliography
2024
Compressed Deep Learning Models for Wearable Atrial Fibrillation Detection through Attention.
Sensors, August, 2024
ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs.
IEEE Trans. Biomed. Eng., July, 2024
2023
Correction: Mäkynen et al. Wearable Devices Combined with Artificial Intelligence - A Future Technology for Atrial Fibrillation Detection? Sensors 2022, 22, 8588.
Sensors, September, 2023
Evaluating Electrograms Domain Knowledge for Enhancing Catheter Ablation Outcomes Based on Time Series Features.
Proceedings of the Computing in Cardiology, 2023
Choosing Electrogram Features for Predicting Catheter Ablation Outcomes in Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2023
Proceedings of the Computing in Cardiology, 2023
2022
Proceedings of the Computing in Cardiology, 2022
Can Sequentially Collected Electrograms Be Effectively Used for Dominant Frequency Mapping During Persistent AF?
Proceedings of the Computing in Cardiology, 2022
2021
Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2021
Spatiotemporal Behaviour of Human Persistent Atrial Fibrillation from Long-Duration Recordings.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Dominant Frequency and Organization Index for Substrate Identification of Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Diagnostic of Multiple Cardiac Disorders from 12-lead ECGs Using Graph Convolutional Network Based Multi-label Classification.
Proceedings of the Computing in Cardiology, 2020
Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
2019
Systematic differences of non-invasive dominant frequency estimation compared to invasive dominant frequency estimation in atrial fibrillation.
Comput. Biol. Medicine, 2019
Are Atrial Fibrillation Dominant Frequency Areas the Source of Dominant Excitation Patterns? A Left Atrial Panoramic View.
Proceedings of the 46th Computing in Cardiology, 2019
Investigating the Optimal Recording Duration for Summarising Spatiotemporal Behaviours of Long Lifespan Rotors Using Phase Mapping of Non-Contact Electrograms During Persistent Atrial Fibrillation.
Proceedings of the 46th Computing in Cardiology, 2019
Combining Ionic Computer Models to Follow the Propagation of Electrical Activity of Atrial Fibrillation in the Left Atrium.
Proceedings of the 46th Computing in Cardiology, 2019
Convolutional and Recurrent Neural Networks for Early Detection of Sepsis Using Hourly Physiological Data from Patients in Intensive Care Unit.
Proceedings of the 46th Computing in Cardiology, 2019
2018
The temporal behavior and consistency of bipolar atrial electrograms in human persistent atrial fibrillation.
Medical Biol. Eng. Comput., 2018
Unsupervised k-Mean Classification of Atrial Electrograms From Human Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2018
Dominant Frequency Variability Mapping for Identifying Stable Drivers During Persistent Atrial Fibrillation Using Noncontact Mapping.
Proceedings of the Computing in Cardiology, 2018
A K-Nearest Neighbours Classifier for Predicting Catheter Ablation Responses Using Noncontact Electrograms During Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2018
2017
An interactive platform to guide catheter ablation in human persistent atrial fibrillation using dominant frequency, organization and phase mapping.
Comput. Methods Programs Biomed., 2017
Persistent Atrial Fibrillation Hierarchical Activation: from Highest DF Sites to Wave Fractionation at the Boundaries.
Proceedings of the Computing in Cardiology, 2017
Deterministic Structures in Fractionated Atrial Electrograms During Human Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
2016
Minimizing discordances in automated classification of fractionated electrograms in human persistent atrial fibrillation.
Medical Biol. Eng. Comput., 2016
Dynamic Behavior of Rotors during Human Persistent Atrial Fibrillation as observed using Non-Contact Mapping.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Contributing Factors Concerning Inconsistencies in Persistent Atrial Fibrillation Ablation Outcomes.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Drifting Rotors Prevalence Is Associated with Dominant Frequency Reduction after Persistent Atrial Fibrillation Ablation.
Proceedings of the Computing in Cardiology, 2015
Investigation on Recurrent High Dominant Frequency Spatiotemporal Patterns during Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015
Combination of Frequency and Phase to Characterise the Spatiotemporal Behaviour of Cardiac Waves during Persistent Atrial Fibrillation in Humans.
Proceedings of the Computing in Cardiology, 2015
Unifying Automated Fractionated Atrial Electrograms Classification using Electroanatomical Mapping Systems in Persistent Atrial Fibrillation Studies.
Proceedings of the Computing in Cardiology, 2015
2014
Distinctive Patterns of Dominant Frequency Trajectory Behaviour in Persistent Atrial Fibrillation: Spatio-temporal Characterisation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
A Platform to guide Catheter Ablation of Persistent Atrial Fibrillation using Dominant Frequency Mapping.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Spatiotemporal Behaviour of High Dominant Frequency during Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Erratum to: Analysis of QRS-T subtraction in unipolar atrial fibrillation electrograms.
Medical Biol. Eng. Comput., 2013
Medical Biol. Eng. Comput., 2013
Comput. Sci. Eng., 2013
Analysis of Spatial Variability for the Development of Reduced Lead Body Surface Maps.
Proceedings of the Computing in Cardiology, 2013
Different Definitions of Complex Fractionated Atrial Electrograms do not Concur with Clinical Perspective.
Proceedings of the Computing in Cardiology, 2013
2011
Medical Biol. Eng. Comput., 2011