Back

High precision machine learning-enabled ECG algorithm for predicting sites of idiopathic ventricular arrhythmia origin

27 August 2021 (07:42 - 07:51)
Organised by:
Congress Presentation Part of: Novel approaches to catheter ablation Electrocardiography (ECG) ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

Photo
Mr Jianwei Zheng

Chapman University, Orange (United States of America)

4 More presentations in this session

Presentation thumbnail
Long-term outcome of endocardial-only versus combined endocardial-epicardial homogenization of the scar for treatment of ventricular tachycardia in patients with ischemic cardiomyopathy
Doctor S. Mohanty (Austin, US)
Abstract Slides Video
Presentation thumbnail
Mutation in a non-desmosomal gene is associated with poor outcome of endo-epicardial ventricular tachycardia ablation in patients with nonischaemic cardiomyopathy
Associate Professor P. Peichl (Prague, CZ)
Abstract Slides Video
Presentation thumbnail
Acute safety and performance outcomes from the inspIRE trial using a novel pulsed field ablation system for the treatment of paroxysmal atrial fibrillation
Doctor T. De Potter (Aalst, BE)
Abstract Slides Video
Presentation thumbnail
Recovery of conduction following high power short duration approach in radiofrequency catheter ablation for atrial fibrillation: a single-center experience
Doctor S. Mohanty (Austin, US)
Abstract Slides Video

Access the full session

Session thumbnail
Novel approaches to catheter ablation

The Event

Event poster

ESC Congress 2021 - The Digital Experience

27 August 2021 07:42 CET
You may be interested in
thumbnail
Congress Presentation
Machine-learned physiological signatures from the ECG predict sudden death in ischemic cardiomyopathy
4 April 2022
thumbnail
Congress Presentation
Comparative diagnostic performance of electrocardiographic- derived algorithms in identifying the site of origin of idiopathic outflow tract originating ventricular premature complexes
12 April 2026
thumbnail
Congress Presentation
Can artificial intelligence prediction of successful atrial fibrillation catheter ablation therapy be interpretable?
26 August 2022
thumbnail
Congress Presentation
Machine-learning analysis of paced P-wave morphologies to identify atrial ectopy origin in atrial fibrillation patients
12 April 2026

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources