Vector expansion techniques for the inverse problem of electrocardiography: Application to a realistic heart-torso geometry

R. D. Throne, L. G. Olson, John Robert Windle

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We have previously compared four numerical techniques utilizing both a homogeneous and inhomogeneous eccentric sphere model problem. In those studies we found that the Generalized Eigensystem approach generally gave superior performance over both truncated singular value decomposition and zero order Tikhonov regularization. In this paper we extend the comparison to the case of a realistic heart-torso geometry. With this model, the generalized eigensystem approach again provides superior performance as measured by both relative error and correlation coefficient.

Original languageEnglish (US)
Pages (from-to)101-105
Number of pages5
JournalBiomedical Sciences Instrumentation
Volume32
StatePublished - Dec 1 1996

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Torso
Electrocardiography
Inverse problems
Geometry
Singular value decomposition

Keywords

  • Eigenvector Expansions
  • Electrocardiography
  • Inverse Problems
  • Regularization

ASJC Scopus subject areas

  • Biophysics
  • Medical Laboratory Technology

Cite this

Vector expansion techniques for the inverse problem of electrocardiography : Application to a realistic heart-torso geometry. / Throne, R. D.; Olson, L. G.; Windle, John Robert.

In: Biomedical Sciences Instrumentation, Vol. 32, 01.12.1996, p. 101-105.

Research output: Contribution to journalArticle

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