Ulrich Schotten

Orcid: 0000-0003-1532-3315

According to our database1, Ulrich Schotten authored at least 37 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
High-density and high coverage composite mapping of repetitive atrial activation patterns.
Comput. Biol. Medicine, June, 2023

A Novel Mapping Strategy of Repetitive Patterns in Consecutive Recordings to Localize Atrial Fibrillation Sources: an In-Silico Study.
Proceedings of the Computing in Cardiology, 2023

2022
Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms.
Proceedings of the Computing in Cardiology, 2022

Incidence of Distinct Repetitive Atrial Activation Patterns as a Metric for Atrial Fibrillation Complexity.
Proceedings of the Computing in Cardiology, 2022

Fibrosis Reduces the Coincidence of Repetitive Activation Patterns between the Coronary Sinus and Atrial Regions in Simulated Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022

Tracking of Atrial Fibrillation Drivers Based on Propagation Patterns: An In-Silico Study.
Proceedings of the Computing in Cardiology, 2022

Is the Dominant Frequency Accurate Enough for Atrial Fibrillation Signals?
Proceedings of the Computing in Cardiology, 2022

2021
State Space Embedding of Atrial Electrograms to Detect Repetitive Conduction Patterns During Atrial Fibrillation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

High Coverage and High-Resolution Mapping of Repetitive Patterns During Atrial Fibrillation.
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

Spatial Relationship Between Atrial Fibrillation Drivers and the Presence of Repetitive Conduction Patterns Using Recurrence Analysis on In-Silico Models.
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

Noninvasive Assessment of Spatio-Temporal Recurrence in Atrial Fibrillation.
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

Beat-to-beat P-wave Variability Increases From Paroxysmal to Persistent Atrial Fibrillation.
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

2018
The Signal Averaged P-Wave Is Able to Indicate the Clinical State of Atrial Fibrillation Disease.
Proceedings of the Computing in Cardiology, 2018

Anatomically-Induced Fibrillation in a 3D Model of the Human Atria.
Proceedings of the Computing in Cardiology, 2018

Stationary and Recurrent Properties of Atrial Fibrillation Conduction Patterns in Goat.
Proceedings of the Computing in Cardiology, 2018

Acute Morphological Changes in P-Wave Morphology During Pulmonary Vein Isolation in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, 2018

2017
Identification of Rotors during Human Atrial Fibrillation Using Contact Mapping and Phase Singularity Detection: Technical Considerations.
IEEE Trans. Biomed. Eng., 2017

Spurious Rotor Detection During Atrial Fibrillation: Phase Singularities in Fact Reflect Blurred Conduction Block.
Proceedings of the Computing in Cardiology, 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

Epicardial Fibrosis Explains Increased Transmural Conduction in a Computer Model of Atrial Fibrillation.
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

Recurrence quantification analysis applied to spatiotemporal pattern analysis in high-density mapping of human atrial fibrillation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Far-field effect in unipolar electrograms revisited: High-density mapping of atrial fibrillation in humans.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Electrogram Coupling as a Measure of Local Conduction during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015

Far-Field Effect in Unipolar Electrograms Recorded from Epicardial and Endocardial Surface: Quantification of Epi-Endo Dissociation During Atrial Fibrillation in Humans.
Proceedings of the Computing in Cardiology, 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
Identification of recurring wavefront propagation patterns in atrial fibrillation using basis pursuit.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

3-Dimensionality in Determining the Stability of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2013

2012
Automated quantification of atrial fibrillation complexity by probabilistic electrogram analysis and fibrillation wave reconstruction.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Resolving the Three-Dimensional Histology of the Heart.
Proceedings of the Computational Methods in Systems Biology, 2012


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