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

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

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 proceeding › Conference 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 language	English (US)
Title of host publication	Computers in Cardiology
Publisher	Publ by IEEE
Pages	87-89
Number of pages	3
ISBN (Print)	0818621141
State	Published - Sep 1989
Externally published	Yes
Event	Proceedings - Computers in Cardiology - Jerusalem, Isr Duration: Sep 19 1989 → Sep 22 1989

Other

Other	Proceedings - Computers in Cardiology
City	Jerusalem, Isr
Period	9/19/89 → 9/22/89

ASJC Scopus subject areas

Software
Cardiology and Cardiovascular Medicine

Cite this

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title = "Shape based classification of left ventricles by spectral analysis of their geometrical cardiograms",

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.",

author = "Haim Azhari and Rafael Beyar and Marcus, {Melvin L.} and Samuel Sideman",

year = "1989",

month = sep,

language = "English (US)",

isbn = "0818621141",

pages = "87--89",

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note = "Proceedings - Computers in Cardiology ; Conference date: 19-09-1989 Through 22-09-1989",

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T1 - Shape based classification of left ventricles by spectral analysis of their geometrical cardiograms

AU - Azhari, Haim

AU - Beyar, Rafael

AU - Marcus, Melvin L.

AU - Sideman, Samuel

PY - 1989/9

Y1 - 1989/9

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:0024720926

SN - 0818621141

SP - 87

EP - 89

BT - Computers in Cardiology

PB - Publ by IEEE

T2 - Proceedings - Computers in Cardiology

Y2 - 19 September 1989 through 22 September 1989

ER -

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

Abstract

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ASJC Scopus subject areas

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