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Estimating myocardial activation times by maximum likelihood estimation

Publication ,  Journal Article
Li, H; Malkin, RA
Published in: Computers in Cardiology
December 1, 1996

In a cardiac isochronal map, myocardial dynamics are represented by activation times. Traditionally, adhoc methods (typically using the local minimum derivative of à unipolar electrogram, i.e., minimum first derivative algorithm) are used to detect myocardial activation times. We propose a statistical method, maximum likelihood (ML) estimation, to estimate myocardial activation times based on a dipole volume conductor model of a myocardial aggregate. Performance of the ML method is evaluated by repeated simulations with white noise. It is demonstrated that the ML method is more robust than the minimum first derivative algorithm. Further studies of the method are warranted, perhaps with a more complicated model of noise and volume conductor, and with multiple electrodes.

Duke Scholars

Published In

Computers in Cardiology

ISSN

0276-6574

Publication Date

December 1, 1996

Volume

0

Issue

0

Start / End Page

729 / 732

Related Subject Headings

  • Cardiovascular System & Hematology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Li, H., & Malkin, R. A. (1996). Estimating myocardial activation times by maximum likelihood estimation. Computers in Cardiology, 0(0), 729–732.
Li, H., and R. A. Malkin. “Estimating myocardial activation times by maximum likelihood estimation.” Computers in Cardiology 0, no. 0 (December 1, 1996): 729–32.
Li H, Malkin RA. Estimating myocardial activation times by maximum likelihood estimation. Computers in Cardiology. 1996 Dec 1;0(0):729–32.
Li, H., and R. A. Malkin. “Estimating myocardial activation times by maximum likelihood estimation.” Computers in Cardiology, vol. 0, no. 0, Dec. 1996, pp. 729–32.
Li H, Malkin RA. Estimating myocardial activation times by maximum likelihood estimation. Computers in Cardiology. 1996 Dec 1;0(0):729–732.

Published In

Computers in Cardiology

ISSN

0276-6574

Publication Date

December 1, 1996

Volume

0

Issue

0

Start / End Page

729 / 732

Related Subject Headings

  • Cardiovascular System & Hematology