Shape based classification of left ventricles by spectral analysis of their geometrical cardiograms

Haim Azhari, Rafael Beyar, Melvin L. Marcus, Samuel Sideman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The recently introduced geometrical cardiogram (GCG) is an anatomically aligned helical vector, normalized to the size of the heart, that characterizes the three-dimensional instantaneous shape of the left ventricle. It is shown that the spectrum obtained by applying a Fourier sine series expansion to the end-systolic (ES) GCG can be utilized to classify normal, hypertension/hypertrophic (HT), and infarcted (MI) hearts. No human intervention is required once the endocardial contours are traced. The demonstrated high discriminatory potential of the |A1| and GR8 parameters implies that a fully automated diagnostic procedure is potentially obtainable.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Pages87-89
Number of pages3
ISBN (Print)0818621141
StatePublished - Sep 1989
Externally publishedYes
EventProceedings - Computers in Cardiology - Jerusalem, Isr
Duration: Sep 19 1989Sep 22 1989

Other

OtherProceedings - Computers in Cardiology
CityJerusalem, Isr
Period9/19/899/22/89

ASJC Scopus subject areas

  • Software
  • Cardiology and Cardiovascular Medicine

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