Two-Dimensional Fourier Spectrum of QRST Integral Maps in Classification of Patients Prone to Ventricular Arrhythmia

Shalini S. Periyalwar; Sherwin T. Nugent; B. Milan Horacek

doi:10.1109/10.18758

Two-Dimensional Fourier Spectrum of QRST Integral Maps in Classification of Patients Prone to Ventricular Arrhythmia

Shalini S. Periyalwar, Sherwin T. Nugent, B. Milan Horacek

Medicine

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

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 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.

Original language	English
Pages (from-to)	493-496
Number of pages	4
Journal	IEEE Transactions on Biomedical Engineering
Volume	36
Issue number	4
DOIs	https://doi.org/10.1109/10.18758
Publication status	Published - Apr 1989

ASJC Scopus Subject Areas

Biomedical Engineering

PubMed: MeSH publication types

Journal Article
Research Support, Non-U.S. Gov't

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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 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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Two-Dimensional Fourier Spectrum of QRST Integral Maps in Classification of Patients Prone to Ventricular Arrhythmia

Abstract

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