The time-frequency characteristics are studied of averaged and filtered ECG records
from 21 patients with sustained ventricular tachycardia and 29 healthy control subjects.
Simulated data as well as real ECG records reveal the detection accuracy of the wavelet
transform of signals with late potentials. The wavelet-transforms of preprocessed
ECG signals are plotted in the time-frequency plane. These representations of the
signals are well suited to describe the different characteristics of the patients
and healthy subjects. A quantitative discrimination was performed with a sensitivity
of 90% and a specificity of 72% by the energy underneath the squared modulus of the
time-frequency distribution plots of the computed wavelet transforms.
Keywords
Wavelet Transformation - Wigner Transformation - Late Potentials - Ventricular Tachycardia
- Time-Frequency Analysis