ESC 365 - How to use digital methods to predict sudden cardiac death

EHRA Premium Access

How to use digital methods to predict sudden cardiac death

Session: The utilisation of digital methods to improve prediction and recognition of cardiac arrest and to deliver health-care

Topic: e-Cardiology/Digital Health

Speaker: Professor D. Duncker (Hannover, DE)

Event: EHRA 2021

Congress Presentation

Add to my library

About the speaker

Professor David Duncker

Hannover Heart Rhythm Center, Hannover (Germany)

19 presentations

8 followers

4 more presentations in this session

Recognising cardiac arrest - can artificial intelligence help?

Speaker: Professor P. Wang (Stanford, US)

Apps and drones to the rescue

Speaker: Associate Professor A. Claesson (Solna, SE)

Remote app-based management of atrial fibrillation during COVID-19: characteristics and experiences of the European TeleCheck-AF project

Speaker: Professor D. Linz (Maastricht, NL)

Utilisation of digital methods to improve prediction and recognition of cardiac arrest and to deliver health-care - discussion

Access the full session

The utilisation of digital methods to improve prediction and recognition of cardiac arrest and to deliver health-care

Speakers: Professor D. Duncker, Professor P. Wang, Associate Professor A. Claesson, Professor D. Linz

About the event

EHRA 2021

23 April - 25 April 2021

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources