By Topic

Wavelet-based filtering for the clinical evaluation of atrial fibrillation

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

6 Author(s)
J. N. Watson ; Fac. of Eng. & Comput., Napier Univ. of Edinburgh, UK ; P. S. Addison ; N. Grubb ; G. R. Clegg
more authors

Summary form only given. This paper describes the work in progress to develop a new ECG signal filtering technique to aid the clinical analysis of atrial fibrillation. The method separates the wavelet transform modulus maxima corresponding to the signal scalogram into a number of components. These groups of maxima lines are then used to reconstruct separate signals representing each of the features, including atrial fibrillation.

Published in:

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE  (Volume:1 )

Date of Conference: