Literature DB >> 2317885

Noninvasive recovery of epicardial potentials in a realistic heart-torso geometry. Normal sinus rhythm.

B J Messinger-Rapport1, Y Rudy.   

Abstract

The inverse problem in electrocardiography implies the reconstruction of electrical events within the heart from information measured noninvasively on the body surface. Deduction of these electrical events is possible from measured epicardial potentials, and, thus, a noninvasive method of recovering epicardial potentials from body surface data is useful in experimental and clinical studies. In the present study, an inverse method that uses Tikhonov regularization was shown to reconstruct, with good accuracy, important events in cardiac excitation. The inverse procedure was employed on data obtained from a human-torso tank in which a beating canine heart was placed in the correct anatomical position. Comparison with the actual, measured epicardial potentials indicates that positions and shapes of potential features (maxima, minima, zero potential line, saddles, etc.) are recovered with good accuracy throughout the QRS. An error in position of up to 1 cm is typical, while amplitudes are slightly diminished. In addition, application was extended from the above setting, in which the geometry was precisely known and potentials at a large number of leads were measured accurately, to a situation that is more representative of clinical and experimental settings. Effects of inaccuracy in location of the position of the heart were examined. A stylized torso that approximates the actual geometry was designed, and its performance in the inverse computations was evaluated. A systematic method of reduction of the number of leads on the body surface was proposed, and the resulting lead configurations were evaluated in terms of the accuracy of inverse solutions. The results indicate that the inverse problem can be stabilized with respect to different types of uncertainties in measured data and offer promise in the use of the inverse procedure in clinical and experimental situations.

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Year:  1990        PMID: 2317885     DOI: 10.1161/01.res.66.4.1023

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  15 in total

1.  Heart-surface reconstruction and ECG electrodes localization using fluoroscopy, epipolar geometry and stereovision: application to noninvasive imaging of cardiac electrical activity.

Authors:  Raja N Ghanem; Charulatha Ramanathan; Ping Jia; Yoram Rudy
Journal:  IEEE Trans Med Imaging       Date:  2003-10       Impact factor: 10.048

2.  Accuracy of quadratic versus linear interpolation in noninvasive Electrocardiographic Imaging (ECGI).

Authors:  Subham Ghosh; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2005-09       Impact factor: 3.934

3.  Application of the method of fundamental solutions to potential-based inverse electrocardiography.

Authors:  Yong Wang; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2006-06-29       Impact factor: 3.934

4.  Noninvasive electrocardiographic imaging (ECGI) of a univentricular heart with Wolff-Parkinson-White syndrome.

Authors:  Subham Ghosh; Jennifer N Avari; Edward K Rhee; Pamela K Woodard; Yoram Rudy
Journal:  Heart Rhythm       Date:  2008-02-04       Impact factor: 6.343

5.  Noninvasive electrocardiogram imaging of substrate and intramural ventricular tachycardia in infarcted hearts.

Authors:  J E Burnes; B Taccardi; P R Ershler; Y Rudy
Journal:  J Am Coll Cardiol       Date:  2001-12       Impact factor: 24.094

6.  Noninvasive electrocardiographic imaging of arrhythmogenesis: insights from modeling and human studies.

Authors:  Raja N Ghanem
Journal:  J Electrocardiol       Date:  2007 Nov-Dec       Impact factor: 1.438

7.  Reconstruction of multiple gastric electrical wave fronts using potential-based inverse methods.

Authors:  J H K Kim; A J Pullan; L K Cheng
Journal:  Phys Med Biol       Date:  2012-07-27       Impact factor: 3.609

8.  Noninvasive electrocardiographic imaging (ECGI): application of the generalized minimal residual (GMRes) method.

Authors:  Charulatha Ramanathan; Ping Jia; Raja Ghanem; Daniela Calvetti; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2003-09       Impact factor: 3.934

Review 9.  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

10.  Application of L1-norm regularization to epicardial potential solution of the inverse electrocardiography problem.

Authors:  Subham Ghosh; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2009-03-06       Impact factor: 3.934

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