Literature DB >> 3733124

The inverse problem in electrocardiography: a model study of the effects of geometry and conductivity parameters on the reconstruction of epicardial potentials.

B J Messinger-Rapport, Y Rudy.   

Abstract

Mesh：

Year:  1986        PMID： 3733124     DOI： 10.1109/tbme.1986.325756

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN： 0018-9294            Impact factor:   4.538


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  6 in total

1.  A Kalman filter-based approach to reduce the effects of geometric errors and the measurement noise in the inverse ECG problem.

Authors:  Umit Aydin; Yesim Serinagaoglu Dogrusoz
Journal:  Med Biol Eng Comput       Date:  2011-04-07       Impact factor: 2.602

2.  Evaluation of multivariate adaptive non-parametric reduced-order model for solving the inverse electrocardiography problem: a simulation study.

Authors:  Önder Nazım Onak; Yesim Serinagaoglu Dogrusoz; Gerhard Wilhelm Weber
Journal:  Med Biol Eng Comput       Date:  2018-12-01       Impact factor: 2.602

3.  Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling.

Authors:  Azar Rahimi
Journal:  IEEE Trans Biomed Eng       Date:  2015-01-21       Impact factor: 4.538

4.  The forward problem of electrocardiography revisited.

Authors:  Yoram Rudy
Journal:  Circ Arrhythm Electrophysiol       Date:  2015-06

5.  Noninvasive reconstruction of cardiac electrical activity: update on current methods, applications and challenges.

Authors:  M J M Cluitmans; R L M Peeters; R L Westra; P G A Volders
Journal:  Neth Heart J       Date:  2015-06       Impact factor: 2.380

6.  Reducing Error in ECG Forward Simulations With Improved Source Sampling.

Authors:  Jess Tate; Karli Gillette; Brett Burton; Wilson Good; Brian Zenger; Jaume Coll-Font; Dana Brooks; Rob MacLeod
Journal:  Front Physiol       Date:  2018-09-21       Impact factor: 4.566
  6 in total

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