Title :
Two-dimensional Fourier spectrum of QRST integral maps in classification of patients prone to ventricular arrhythmia
Author :
Periyalwar, Shalini S. ; Nugent, Sherwin T. ; Horacek, B. Milan
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. of Nova Scotia, Halifax, NS, Canada
fDate :
4/1/1989 12:00:00 AM
Abstract :
Two-dimensional Fourier spectra of QRST integral maps, obtained by body surface potential mapping, were analyzed to identify subjects prone to ventricular arrhythmia, when they have not been identified by extrema count method. The diagnostic performance (84.38%) of the peak value of the Fourier spectrum as a classifier for subjects prone to ventricular arrhythmia showed an improvement of 3.65% over the use of the extrema count method as a classifier.<>
Keywords :
Fourier analysis; electrocardiography; 2D Fourier spectrum; QRST integral maps; body surface potential mapping; diagnostic performance; extrema count method; patient classification; ventricular arrhythmia; Biomedical engineering; Biophysics; Councils; Electrocardiography; Electrodes; Fourier transforms; Heart; Information analysis; Myocardium; Physiology; Arrhythmias, Cardiac; Electrocardiography; Fourier Analysis; Humans;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
