Forward and inverse problems of electrocardiography: modeling and recovery of epicardial potentials in humans.
Identifieur interne : 004868 ( Main/Merge ); précédent : 004867; suivant : 004869Forward and inverse problems of electrocardiography: modeling and recovery of epicardial potentials in humans.
Auteurs : A V Shahidi [Canada] ; P. Savard ; R. NadeauSource :
- IEEE transactions on bio-medical engineering [ 0018-9294 ] ; 1994.
English descriptors
- KwdEn :
- Electrocardiography, Electrodes, Heart (diagnostic imaging), Humans, Intraoperative Period, Least-Squares Analysis, Membrane Potentials, Models, Cardiovascular, Pericardium (physiology), Tomography, X-Ray Computed, Wolff-Parkinson-White Syndrome (diagnosis), Wolff-Parkinson-White Syndrome (physiopathology), Wolff-Parkinson-White Syndrome (surgery).
- MESH :
- diagnosis : Wolff-Parkinson-White Syndrome.
- diagnostic imaging : Heart.
- physiology : Pericardium.
- physiopathology : Wolff-Parkinson-White Syndrome.
- surgery : Wolff-Parkinson-White Syndrome.
- Electrocardiography, Electrodes, Humans, Intraoperative Period, Least-Squares Analysis, Membrane Potentials, Models, Cardiovascular, Tomography, X-Ray Computed.
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.
DOI: 10.1109/10.284943
PubMed: 8045577
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pubmed:8045577Le document en format XML
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Nadeau</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1994">1994</date><idno type="RBID">pubmed:8045577</idno><idno type="pmid">8045577</idno><idno type="doi">10.1109/10.284943</idno><idno type="wicri:Area/PubMed/Corpus">001977</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001977</idno><idno type="wicri:Area/PubMed/Curation">001977</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">001977</idno><idno type="wicri:Area/PubMed/Checkpoint">001977</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">001977</idno><idno type="wicri:Area/Ncbi/Merge">002453</idno><idno type="wicri:Area/Ncbi/Curation">002453</idno><idno type="wicri:Area/Ncbi/Checkpoint">002453</idno><idno type="wicri:doubleKey">0018-9294:1994:Shahidi A:forward:and:inverse</idno><idno type="wicri:Area/Main/Merge">004868</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Forward and inverse problems of electrocardiography: modeling and recovery of epicardial potentials in humans.</title><author><name sortKey="Shahidi, A V" sort="Shahidi, A V" uniqKey="Shahidi A" first="A V" last="Shahidi">A V Shahidi</name><affiliation wicri:level="1"><nlm:affiliation>Institute of Biomedical Engineering, Ecole Polytechnique, Montreal, Quebec, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Institute of Biomedical Engineering, Ecole Polytechnique, Montreal, Quebec</wicri:regionArea><wicri:noRegion>Quebec</wicri:noRegion></affiliation></author><author><name sortKey="Savard, P" sort="Savard, P" uniqKey="Savard P" first="P" last="Savard">P. Savard</name></author><author><name sortKey="Nadeau, R" sort="Nadeau, R" uniqKey="Nadeau R" first="R" last="Nadeau">R. Nadeau</name></author></analytic><series><title level="j">IEEE transactions on bio-medical engineering</title><idno type="ISSN">0018-9294</idno><imprint><date when="1994" type="published">1994</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Electrocardiography</term><term>Electrodes</term><term>Heart (diagnostic imaging)</term><term>Humans</term><term>Intraoperative Period</term><term>Least-Squares Analysis</term><term>Membrane Potentials</term><term>Models, Cardiovascular</term><term>Pericardium (physiology)</term><term>Tomography, X-Ray Computed</term><term>Wolff-Parkinson-White Syndrome (diagnosis)</term><term>Wolff-Parkinson-White Syndrome (physiopathology)</term><term>Wolff-Parkinson-White Syndrome (surgery)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Wolff-Parkinson-White Syndrome</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Heart</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Pericardium</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Wolff-Parkinson-White Syndrome</term></keywords><keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Wolff-Parkinson-White Syndrome</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Electrocardiography</term><term>Electrodes</term><term>Humans</term><term>Intraoperative Period</term><term>Least-Squares Analysis</term><term>Membrane Potentials</term><term>Models, Cardiovascular</term><term>Tomography, X-Ray Computed</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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