By Topic

Detecting ventricular 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

2 Author(s)
V. X. Afonso ; Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA ; W. J. Tompkins

The short time Fourier transform (STFT), smoothed pseudo Wigner Ville distribution (SPWVD), and cone-shaped kernel distribution (CKD) have been used to compare the time-frequency distribution of normal sinus rhythm, ventricular tachycardia, ventricular flutter, and ventricular fibrillation signals. This work is a pilot study to illustrate that the CKD and SPWVD have better time and frequency resolution than the STFT. It demonstrates that accurate methods of computing the time-frequency domain should be found for ECG signals. Only then should future work be done to design discriminatory features and classifiers for arrhythmias

Published in:

IEEE Engineering in Medicine and Biology Magazine  (Volume:14 ,  Issue: 2 )