Automating the selection of expansion modes using the principal components of time method for solving the inverse problem of electrocardiography

Y. Zaghloul, R. Throne, L. Olson, J. Windle

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

Abstract

A common approach for estimating epicardial potentials from measured body surface potentials is to solve the problem using some type of regularisation at each point in time independently. Greensite and Huiskamp have previously proposed a solution based on expanding the solution in the principle time components of the data. However, their proposed method did not indicate how many modes to use in this expansion, or indicate how to automate it. In this paper, we examined an automated solution to this problem. This automated procedure was applied to data obtained during a study on swine. For first order Tikhonov regularization, the new method produced an average relative error of 0.56 over all six depolarization sequences, compared with 0.61 for the traditional approach. While the new automated method is not necessarily optimal, it does consistently produce smaller relative errors than the traditional approach.

Original languageEnglish (US)
Title of host publicationComputers in Cardiology
EditorsA. Murray
Pages401-404
Number of pages4
Volume31
StatePublished - 2004
EventComputers in Cardiology 2004 - Chicago, IL, United States
Duration: Sep 19 2004Sep 22 2004

Other

OtherComputers in Cardiology 2004
CountryUnited States
CityChicago, IL
Period9/19/049/22/04

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Software

Fingerprint Dive into the research topics of 'Automating the selection of expansion modes using the principal components of time method for solving the inverse problem of electrocardiography'. Together they form a unique fingerprint.

  • Cite this

    Zaghloul, Y., Throne, R., Olson, L., & Windle, J. (2004). Automating the selection of expansion modes using the principal components of time method for solving the inverse problem of electrocardiography. In A. Murray (Ed.), Computers in Cardiology (Vol. 31, pp. 401-404)