Title :
Time-frequency and time-scale analysis of high resolution ECGs
Author :
Peyrin, F. ; Karoubi, B. ; Morlet, D. ; Rubel, P. ; Desseigne, P. ; Touboul, P.
Author_Institution :
Inst. Nat. des Sci Appliquees, Villeurbanne, France
Abstract :
Electrocardiograms (ECGs) of patients prone to ventricular tachycardia present micropotentials which may be defined as low amplitude, high frequency signals. The use of the Wigner distribution (WD) and wavelet transform (WT) to detect such micropotentials in high resolution ECGs is investigated. The two methods are precisely compared on data from patients with and without ventricular tachycardia. Patients with ventricular tachycardia present characteristic time-frequency and time-scale patterns. A quantitative analysis of those representations is proposed in order to discriminate between the two classes of patients
Keywords :
electrocardiography; medical signal processing; time-frequency analysis; wavelet transforms; Wigner distribution; electrocardiograms; high frequency signals; high resolution ECG; low amplitude signals; micropotentials; time-frequency analysis; time-frequency patterns; time-scale analysis; time-scale patterns; ventricular tachycardia; wavelet transform; Cardiac disease; Cardiology; Data acquisition; Electrocardiography; Fourier transforms; Signal analysis; Signal resolution; Time frequency analysis; Wavelet analysis; Wavelet transforms;
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.1992.274230