Risk evaluation of ventricular tachycardia using wavelet transform irregularity of the high-resolution electrocardiogram.
A new method for analysis of high-resolution ECG signals using a wavelet transform based on a modified Morlet function is presented. A polynomial filter is used to reduce low-frequency, high-amplitude noise components in the analysed signals. The method is tested on test ECG signals with simulated late potentials and finally verified on two post-infarction patient (PP) groups: 62 PPs with ventricular tachycardia and 44 PPs without arrhythmia. A new quantitative parameter, the irregularity factor, is proposed for discrimination between the study groups. The results show a significant difference in the parameter values for tachycardia patients compared with those for patients without arrhythmia. The sensitivity of the proposed method is 85%, and the specificity is 93%.
Lewandowski
P
P
Institute of Biocybernetics & Biomedical Engineering PAS, Department of Biomeasurements & Biocontrol, Warsaw, Poland.
Meste
O
O
Maniewski
R
R
Mroczka
T
T
Steinbach
K
K
Rix
H
H
D000328:Adult; D000368:Aged; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D017180:Tachycardia, Ventricular / Q000175:diagnosis*