Literature DB >> 8045577

Forward and inverse problems of electrocardiography: modeling and recovery of epicardial potentials in humans.

A V Shahidi1, P Savard, R Nadeau.   

Abstract

To assess the accuracy of solutions to the inverse problem of electrocardiography in man, epicardial potentials computed from thoracic potential distributions were compared to potentials measured directly over the surface of the heart during arrhythmia surgery. Three-dimensional finite element models of the thorax with different mesh resolutions and conductivity inhomogeneities were constructed from serial computerized tomography scans of a patient. These torso models were used to compute transfer matrices relating the epicardial potentials to the thoracic potentials. Potential distributions over the torso and the ventricles were measured with 63 leads in the same patient whose anatomical data was used to construct the torso models. To solve the inverse problem, different methods based on Tykhonov regularization or regularization- truncation were applied. The recovered epicardial potential distributions closely resembled the epicardial potential distributions measured early during ventricular preexcitation, but not the more complex distributions measured later during the QRS complex. Several problems encountered as the validation process is applied in man are also discussed.

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Year:  1994        PMID: 8045577     DOI: 10.1109/10.284943

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


  7 in total

1.  Reconstructing parameters of the FitzHugh-Nagumo system from boundary potential measurements.

Authors:  Yuan He; David E Keyes
Journal:  J Comput Neurosci       Date:  2007-05-10       Impact factor: 1.621

2.  Computing volume potentials for noninvasive imaging of cardiac excitation.

Authors:  A W Maurits van der Graaf; Pranav Bhagirath; Vincent J H M van Driel; Hemanth Ramanna; Jacques de Hooge; Natasja M S de Groot; Marco J W Götte
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-07-17       Impact factor: 1.468

3.  Impedance tomography: computational analysis based on finite element models of a cylinder and a human thorax.

Authors:  A V Shahidi; R Guardo; P Savard
Journal:  Ann Biomed Eng       Date:  1995 Jan-Feb       Impact factor: 3.934

4.  Noninvasive mapping of transmural potentials during activation in swine hearts from body surface electrocardiograms.

Authors:  Chenguang Liu; Michael D Eggen; Cory M Swingen; Paul A Iaizzo; Bin He
Journal:  IEEE Trans Med Imaging       Date:  2012-06-06       Impact factor: 10.048

5.  Noninvasive estimation of global activation sequence using the extended Kalman filter.

Authors:  Chenguang Liu; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2010-08-16       Impact factor: 4.538

Review 6.  Detection of the fingerprint of the electrophysiological abnormalities that increase vulnerability to life-threatening ventricular arrhythmias.

Authors:  Michael E Cain; R Martin Arthur; Jason W Trobaugh
Journal:  J Interv Card Electrophysiol       Date:  2003-10       Impact factor: 1.900

7.  Noninvasive characterisation of multiple ventricular events using electrocardiographic imaging.

Authors:  R Hren; G Stroink
Journal:  Med Biol Eng Comput       Date:  2001-07       Impact factor: 3.079

  7 in total

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