Back

Can machine learning be used to optimize a tachycardia detection algorithm in an implantable cardiac monitor?

25 August 2018 (00:00 - 00:00)
Organised by:
Congress Presentation Part of: Poster Session 1 - Implantable cardioverter defibrillators: technology and complications Holter Monitoring ESC Premium Access ESC Congress 2018

About the speaker

Photo
Mr Krzysztof Siejko

Boston Scientific Corp, St. Paul MN (United States of America)

7 More presentations in this session

Presentation thumbnail
Incidence and predictors of phantom shocks in implantable cardioverter defibrillator recipients
Mr S. Varghese (Halberstadt, DE)
Abstract Slides
Presentation thumbnail
Electrical storm in patients with implantable cardioverter-defibrillator
Doctor G. Fernandez (Mainz, DE)
Abstract Slides
Presentation thumbnail
Inappropriate shocks and complications requiring surgery in patients with implantable cardioverter defibrillators
Doctor R. Kader (Gävle, SE)
Abstract Slides
Presentation thumbnail
Appropriate therapy in primary prevention implantable cardioverter defibrillator patients with ischemic and non-ischemic cardiomyopathy
Doctor G. Mattsson (Gavle, SE)
Abstract Slides
Presentation thumbnail
ICD longevity in real life
Doctor F. Ayala Paredes (Sherbrooke, CA)
Abstract Slides

Access the full session

Session thumbnail
Poster Session 1 - Implantable cardioverter defibrillators: technology and complications

The Event

Event poster

ESC Congress 2018

25 August - 29 August 2018

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources