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Updated: Jan 22, 2026
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High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
Published on: July 29, 2011
15.2K
Online webinar training to analyse complex atrial fibrillation maps: A randomized trial
João Mesquita1,2, Natasha Maniar2, Tina Baykaner2,3
1Department of Cardiology, Centro Hospitalar de Vila Nova de Gaia/Espinho, Gaia, Portugal.
Plos One
|July 4, 2019
Summary
Online training significantly improved the accuracy of interpreting atrial fibrillation (AF) maps for inexperienced clinicians. This digital approach, including mobile health, offers a scalable solution for training in complex electrophysiology techniques.
Area of Science:
- Cardiology
- Medical Education
- Digital Health
Background:
- Panoramic atrial fibrillation (AF) mapping tools aim to guide ablation but present challenges due to complexity and a steep learning curve.
- Conflicting results from different centers highlight the need for standardized training to assess the clinical impact of these mapping techniques.
Purpose of the Study:
- To evaluate the effectiveness of online training in improving the identification of AF driver sites for ablation.
- To assess the impact of a standardized training program on interpreting panoramic AF maps.
- To explore the extension of this training concept to mobile health applications.
Main Methods:
- A multicenter registry provided panoramic AF movies using two methods (Kuklik et al. and RhythmView).
- Cardiology fellows naive to AF mapping were randomized to receive online training with feedback or no training (control).
- Participants assessed AF termination sites before and after training, with the concept later adapted to a smartphone application.
Main Results:
- Baseline accuracy in identifying AF termination sites was low (around 40%) and similar between mapping methods.
- Online training significantly improved accuracy for both methods (p=0.001 and p=0.012), while the control group showed no improvement.
- A smartphone application was developed to deliver this training, accessing cloud-based AF maps.
Conclusions:
- Digital online training enhances the interpretation of panoramic AF maps among inexperienced clinicians.
- Integrating online data, smartphone apps, and digital resources provides a scalable and effective training method for novel electrophysiology techniques.
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