Harry J. Crijns
According to our database1,
Harry J. Crijns
authored at least 11 papers
between 2013 and 2021.
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Bibliography
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
Use of Normalized Correlation Function to Discriminate Outcome of Persistent Patients Undergoing Electrical Cardioversion.
Proceedings of the Computing in Cardiology, 2020
2019
Local Atrial Conduction Velocity During Pacing as Indication of Atrial Fibrillation Substrate Complexity.
Proceedings of the 46th Computing in Cardiology, 2019
2017
Identification of Rotors during Human Atrial Fibrillation Using Contact Mapping and Phase Singularity Detection: Technical Considerations.
IEEE Trans. Biomed. Eng., 2017
Noninvasive Characterization of Short- and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
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
2015
Reconstruction of Instantaneous Phase of Unipolar Atrial Contact Electrogram Using a Concept of Sinusoidal Recomposition and Hilbert Transform.
IEEE Trans. Biomed. Eng., 2015
2014
Principal Component Analysis of Body Surface Potential Mapping in Atrial Fibrillation Patients Suggests Additional ECG Lead Locations.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Towards Standardization of Non-invasive Atrial Fibrillation Substrate Complexity Quantification: Effect of Choice of ECG-leads and Complexity Measure on Prediction of Pharmacological Cardioversion.
Proceedings of the Computing in Cardiology, 2013