Arrhythmia classification using Mahalanobis distance based improved Fuzzy C-Means clustering for mobile health monitoring systems

Published 2017 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Arrhythmia classification using Mahalanobis distance based improved Fuzzy C-Means clustering for mobile health monitoring systems
Authors
Keywords
E-Health, Arrhythmia, Fuzzy C-Means clustering, Body area network, Mahalanobis-Taguchi System (MTS)
Journal
NEUROCOMPUTING
Volume 220, Issue -, Pages 221-235
Publisher
Elsevier BV
Online
2016-08-25
DOI
10.1016/j.neucom.2016.08.042

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

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.