By Topic

Utilizing occurrence sequence of Heart Rate's phase space points in order to discriminate heart Arrhythmia

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
$33 $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

4 Author(s)
S. Moharreri ; Islamic Azad University, Science and Research Branch, Tehran, Iran ; S. Parvaneh ; N. Jafarnia Dabanloo ; A M Nasrabadi

Poincare plot analysis of RR time series allows a beat-to-beat approach to Heart Rate Variability (HRV), detecting patterns associated with nonlinear processes. Since the measurement of standards descriptors of Poincare plot is based on the point's distribution in relation to the line of identity (y=x), we have concentrated on it and evaluated the points behavior related to this line. For this purpose, we test two global and local analyses of points against the identity line. For evaluating these two novel features of Poincare plot, we try to use them for distinguishing four groups of subjects (Arrhythmia, Congestive Heart Failure (CHF), Atrial Fibrillation (AF) and Normal Sinus Rhythm (NSR)). Kruskal-Wallis test was used to define the level of significance of features. The results show that global feature discriminate different groups by p<;2E-7, and local feature discriminate them by p<;E-7.

Published in:

Biomedical Engineering (ICBME), 2010 17th Iranian Conference of

Date of Conference:

3-4 Nov. 2010