DocumentCode
1641120
Title
Time-frequency analysis and linear prediction of cardiac late potentials
Author
Chitrapu, Prabhakar Rao ; Waldo, David J.
Author_Institution
Dialogic Corp., Parsippany, NJ, USA
fYear
1992
Firstpage
227
Lastpage
230
Abstract
Late potentials in patients with coronary artery disease and sustained ventricular arrhythmias have been detected using time and frequency domain methods and recently in the joint time-frequency domain using the Wigner-Ville distribution. Since electrocardiogram (ECG) signals are multicomponent and broadband, the smoothed Wigner distribution is used to represent the ECG signals in the time-frequency domain. Based on the assumption that late potentials are uncorrelated with the surrounding ECG, linear prediction is used as a tool to enhance the late potentials in a least-squares sense. Great differences between the three patient classes can be seen in the smoothed Wigner distribution
Keywords
electrocardiography; medical signal processing; time-frequency analysis; ECG signals; Wigner-Ville distribution; cardiac late potentials; coronary artery disease; electrocardiogram signals; linear prediction; smoothed Wigner distribution; sustained ventricular arrhythmias; time-frequency analysis; Coronary arteriosclerosis; Cutoff frequency; Electrocardiography; Filters; Frequency domain analysis; History; Least squares methods; Myocardium; Predictive models; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0805-0
Type
conf
DOI
10.1109/TFTSA.1992.274196
Filename
274196
Link To Document