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- 2024
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Mark
Characterization of Atrial Fibrillation Episode Patterns : A Comparative Study
(
- Contribution to journal › Article
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Mark
An objective approach to identifying individual atrial fibrillation triggers : A simulation study
(
- Contribution to journal › Article
- 2023
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Mark
Detection of Pre-and Post-Trigger Atrial Fibrillation in Long-Term Photoplethysmogram Signals Acquired in Free-Living
2023) 50th Computing in Cardiology, CinC 2023(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
ECG Modeling for Simulation of Arrhythmias in Time-Varying Conditions
(
- Contribution to journal › Article
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Mark
Six-lead electrocardiography compared to single-lead electrocardiography and photoplethysmography of a wrist-worn device for atrial fibrillation detection controlled by premature atrial or ventricular contractions : six is smarter than one
(
- Contribution to journal › Article
- 2022
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Mark
Training Convolutional Neural Networks on Simulated Photoplethysmography Data : Application to Bradycardia and Tachycardia Detection
(
- Contribution to journal › Article
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Mark
Modeling of the Effect of Alcohol on Episode Patterns in Atrial Fibrillation
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
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Mark
Considerations on Performance Evaluation of Atrial Fibrillation Detectors
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- Contribution to journal › Article
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Mark
Atrial Fibrillation Episode Patterns and Their Influence on Detection Performance
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Modeling and Estimation of Temporal Episode Patterns in Paroxysmal Atrial Fibrillation
(
- Contribution to journal › Article
- 2020
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Mark
Investigating Respiratory Rate Estimation during Paroxysmal Atrial Fibrillation Using an Improved ECG Simulation Model
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Model-Based Characterization of Atrial Fibrillation Episodes and its Clinical Association
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
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Mark
Letter regarding the article “Detecting atrial fibrillation by deep convolutional neural networks” by Xia et al.
(
- Contribution to journal › Letter
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Mark
Model-based Assessment of f-Wave Signal Quality in Patients with Atrial Fibrillation
(
- Contribution to journal › Article
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Mark
Atrial fibrillation frequency tracking in ambulatory ECG signals : The significance of signal quality assessment
(
- Contribution to journal › Article