Cart (Loading....) | Create Account
Close category search window

Hidden Markov tree model applied to ECG delineation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Graja, S. ; Ecole Nat. Superieure des Telecommun., Brest, France ; Boucher, J.-M.

A new electrocardiogram (ECG) delineation method is proposed, which uses a hidden Markov tree model. The aim of this approach is, on the one hand, to use wavelet coefficients to characterize the different ECG waves, and, on the other hand, to link these coefficients by a tree structure enabling wave change to be detected. By associating this method with a fusion method between scales based on the concept of context, good results are obtained on a special database created for the risk analysis of atrial fibrillation, particularly in P-wave delineation.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:54 ,  Issue: 6 )

Date of Publication:

Dec. 2005

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.