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

Back

ESC Premium Access

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

Session: Novel approaches to catheter ablation

Topic: Electrocardiography (ECG)

Speaker: Mr J. Zheng (Orange, US)

Event: ESC Congress 2021 - The Digital Experience

Congress Presentation

Add to my library

About the speaker

Mr Jianwei Zheng

Chapman University, Orange (United States of America)

0 follower

4 more presentations in this session

Long-term outcome of endocardial-only versus combined endocardial-epicardial homogenization of the scar for treatment of ventricular tachycardia in patients with ischemic cardiomyopathy

Speaker: Doctor S. Mohanty (Austin, US)

Mutation in a non-desmosomal gene is associated with poor outcome of endo-epicardial ventricular tachycardia ablation in patients with nonischaemic cardiomyopathy

Speaker: Associate Professor P. Peichl (Prague, CZ)

Acute safety and performance outcomes from the inspIRE trial using a novel pulsed field ablation system for the treatment of paroxysmal atrial fibrillation

Speaker: Doctor T. De Potter (Aalst, BE)

Recovery of conduction following high power short duration approach in radiofrequency catheter ablation for atrial fibrillation: a single-center experience

Speaker: Doctor S. Mohanty (Austin, US)

Access the full session

Novel approaches to catheter ablation

Speakers: Mr J. Zheng, Doctor S. Mohanty, Associate Professor P. Peichl, Doctor T. De Potter, Doctor S. Mohanty

Access

About the event

ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources