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
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;
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
DOI :
10.1109/TFTSA.1992.274196