DocumentCode :
1082561
Title :
Forward and inverse problems of electrocardiography: modeling and recovery of epicardial potentials in humans
Author :
Shahidi, A.Vahid ; Savard, Pierre ; Nadeau, Réginald
Author_Institution :
Inst. of Biomed. Eng., Ecole Polytech. de Montreal, Que., Canada
Volume :
41
Issue :
3
fYear :
1994
fDate :
3/1/1994 12:00:00 AM
Firstpage :
249
Lastpage :
256
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.
Keywords :
bioelectric potentials; electrocardiography; finite element analysis; inverse problems; physiological models; 3D finite element models; QRS complex; Tykhonov regularization; electrocardiography forward problem; electrocardiography inverse problem; epicardial potentials modeling; epicardial potentials recovery; heart surface potentials; mesh resolution; regularization-truncation; serial computerized tomography scans; solutions accuracy assessment; thoracic potential distributions; torso models; validation process; ventricles; ventricular preexcitation; Conductivity; Distributed computing; Electrocardiography; Finite element methods; Heart; Humans; Inverse problems; Surgery; Thorax; Torso; Electrocardiography; Electrodes; Heart; Humans; Intraoperative Period; Least-Squares Analysis; Membrane Potentials; Models, Cardiovascular; Pericardium; Tomography, X-Ray Computed; Wolff-Parkinson-White Syndrome;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.284943
Filename :
284943
Link To Document :
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