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

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

7 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Páginas (desde-hasta)493-496
Número de páginas4
PublicaciónIEEE Transactions on Biomedical Engineering
Volumen36
N.º4
DOI
EstadoPublished - abr. 1989

ASJC Scopus Subject Areas

  • Biomedical Engineering

PubMed: MeSH publication types

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

Huella

Profundice en los temas de investigación de 'Two-Dimensional Fourier Spectrum of QRST Integral Maps in Classification of Patients Prone to Ventricular Arrhythmia'. En conjunto forman una huella única.

Citar esto

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