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

Résultat de recherche: Articleexamen par les pairs

7 Citations (Scopus)

Résumé

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.

Langue d'origineEnglish
Pages (de-à)493-496
Nombre de pages4
JournalIEEE Transactions on Biomedical Engineering
Volume36
Numéro de publication4
DOI
Statut de publicationPublished - avr. 1989

ASJC Scopus Subject Areas

  • Biomedical Engineering

PubMed: MeSH publication types

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

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Citer

Periyalwar, S. S., Nugent, S. T., & Horacek, B. M. (1989). Two-Dimensional Fourier Spectrum of QRST Integral Maps in Classification of Patients Prone to Ventricular Arrhythmia. IEEE Transactions on Biomedical Engineering, 36(4), 493-496. https://doi.org/10.1109/10.18758