Back

A data-pipeline processing electrocardiogram recordings for use in artificial intelligence algorithms

27 August 2021 (08:00 - 20:00)
Organised by:
Congress Presentation Part of: e-Cardiology/Digital Health ePosters Interoperability, Standards and System Integration ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

Photo
Mr Joshua Prim

University of Applied Sciences Mittelhessen, Giessen (Germany)

64 More presentations in this session

Presentation thumbnail
Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients
Doctor M. Lewis (Tel Aviv, IL)
Abstract Slides
Presentation thumbnail
Detection of myocardial ischemia by intracoronary ECG using convolutional neural networks
Doctor M. Bigler (Bern, CH)
Abstract Slides
Presentation thumbnail
Home monitoring program for patients following cardiac surgery
Mrs M. Sokolskaya (Moscow, RU)
Abstract Slides
Presentation thumbnail
A new clinical decision support tool based on personalized evidence-based medicine improves outcomes of anticoagulation therapy in patients with atrial fibrillation: an analysis from the AF registry
Professor E. Pokushalov (San Francisco, US)
Abstract Slides
Presentation thumbnail
Early detection of exacerbation of the severe acute respiratory syndrome coronavirus 2 infection using Fitbit (DEXTERITY Pilot Study)
Doctor K. Yamagami (Kanazawa, JP)
Abstract Slides

Access the full session

Session thumbnail
e-Cardiology/Digital Health ePosters

The Event

Event poster

ESC Congress 2021 - The Digital Experience

27 August 2021 08:00 CET
You may be interested in
thumbnail
Congress Presentation
Electrocardiogram-based artificial intelligence to predict incident heart failure risk
22 November 2025
thumbnail
Congress Presentation
A pipeline for developing digital cardiac twins integrating cardiovascular magnetic resonance and electrocardiographic imaging: results from the MyoFit46 study
1 September 2024
thumbnail
Congress Presentation
Artificial intelligence to reduce artifact in cardiac electrophysiological signals
27 August 2022
thumbnail
Congress Presentation
1 September 2019

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