title: Risk evaluation of ventricular tachycardia using wavelet transform irregularity of the high-resolution electrocardiogram.
abstract: 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%.
authors.affiliation: Institute of Biocybernetics & Biomedical Engineering PAS, Department of Biomeasurements & Biocontrol, Warsaw, Poland.
authors.forename: P
authors.initials: P
authors.lastname: Lewandowski
authors.forename: O
authors.initials: O
authors.lastname: Meste
authors.forename: R
authors.initials: R
authors.lastname: Maniewski
authors.forename: T
authors.initials: T
authors.lastname: Mroczka
authors.forename: K
authors.initials: K
authors.lastname: Steinbach
authors.forename: H
authors.initials: H
authors.lastname: Rix
mesh_terms: 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*