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Two-dimensional Fourier spectrum of QRST integral maps in classification of patients prone to ventricular arrhythmia
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 spec...
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Published in: | IEEE transactions on biomedical engineering 1989-04, Vol.36 (4), p.493-496 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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.< > |
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ISSN: | 0018-9294 1558-2531 |
DOI: | 10.1109/10.18758 |