A new approach for arrhythmia classification using deep coded features and LSTM networks

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A new approach for arrhythmia classification using deep coded features and LSTM networks
Authors
Keywords
Arrhythmia detection, ECG compression, Deep learning, Autoencoders, LSTM
Journal
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 176, Issue -, Pages 121-133
Publisher
Elsevier BV
Online
2019-05-10
DOI
10.1016/j.cmpb.2019.05.004

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.