By Topic

Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators

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)
Chu, C.-H.H. ; Center of Adv. Comput. Studies, Univ. of Southwestern Louisiana, Lafayette, LA, USA ; Delp, E.J.

An approach to impulsive noise suppression and background normalization of digitized electrocardiogram signals using mathematical morphological operators that incorporate the shape information for a signal is presented. A brief introduction to these nonlinear signal processing operators, as well as a detailed description of the algorithm, is presented. Empirical results show that the algorithm has good performance in impulsive noise suppression and background normalization.<>

Published in:

Biomedical Engineering, IEEE Transactions on  (Volume:36 ,  Issue: 2 )