Why the study?
Does the two-dimensional Fourier spectrum of QRST integral maps improve the classification of patients prone to ventricular arrhythmia compared to the extrema count method?
Does the two-dimensional Fourier spectrum of QRST integral maps improve the classification of patients prone to ventricular arrhythmia compared to the extrema count method?
Two-dimensional Fourier spectra of QRST integral maps may improve the identification of patients prone to ventricular arrhythmias compared to traditional extrema count methods.
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May aid ventricular arrhythmia risk stratification; hypothesis-generating and should not yet change practice.
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 the extrema count method. The diagnostic performance (84.38 percent) of the peak value of the Fourier spectrum as a classifier for subjects prone to ventricular arrhythmia showed an improvement of 3.65 percent over the use of the extrema count method as a classifier.
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Periyalwar et al. (1989) studied this question.
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