MULTIRESOLUTION DECOMPOSITION OF THE SIGNAL AVERAGED ECG IN PATIENTS WITH MYOCARDIAL INFARCTION COMPARED TO A CONTROL GROUP

摘要

Wavelet transformation based on multiresolution decomposition using the method proposed by Mallat was applied to the signal-averaged ECG in patients with myocardial infarction and in a control group including healthy volunteers. The total and relative power of the QRS complex was calculated in seven frequency bands: 125-250 Hz, 62.5-125 Hz, 31.25-62.5 Hz, 15.62-31.25 Hz, 7.8-15.62 Hz, 3.9-7.8 Hz and below 3.9 Hz. Significant differences (p<0.0001) were found in all bands. To assess the discriminant potential of multiresolution decomposition in both groups, the sensitivity and specificity were calculated for each band. In the band from 125-250 Hz the highest sensitivity and specificity were found (88.5% and 66%, respectively). The wavelet transform allowed a distinction between both groups and represents a promising processing tool in the field of ECG analysis.