Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
Introduction: Electrocardiographic Imaging (ECGI) allows computing the electrical activity in the heart non-invasively using geometrical information of the patient and multiple body surface signals. In the present study we investigate the influence of the number of nodes of geometrical meshes and re...
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| Format: | Article |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2022.908364/full |
| _version_ | 1811282700910198784 |
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| author | Rubén Molero Ana González-Ascaso Ismael Hernández-Romero David Lundback-Mompó Andreu M. Climent María S. Guillem |
| author_facet | Rubén Molero Ana González-Ascaso Ismael Hernández-Romero David Lundback-Mompó Andreu M. Climent María S. Guillem |
| author_sort | Rubén Molero |
| collection | DOAJ |
| description | Introduction: Electrocardiographic Imaging (ECGI) allows computing the electrical activity in the heart non-invasively using geometrical information of the patient and multiple body surface signals. In the present study we investigate the influence of the number of nodes of geometrical meshes and recording ECG electrodes distribution to compute ECGI during atrial fibrillation (AF).Methods: Torso meshes from 100 to 2000 nodes heterogeneously and homogeneously distributed were compared. Signals from nine AF realistic mathematical simulations were used for computing the ECGI. Results for each torso mesh were compared with the ECGI computed with a 4,000 nodes reference torso. In addition, real AF recordings from 25 AF patients were used to compute ECGI in torso meshes from 100 to 1,000 nodes. Results were compared with a reference torso of 2000 nodes. Torsos were remeshed either by reducing the number of nodes while maximizing the overall shape preservation and then assigning the location of the electrodes as the closest node in the new mesh or by forcing the remesher to place a node at each electrode location. Correlation coefficients, relative difference measurements and relative difference of dominant frequencies were computed to evaluate the impact on signal morphology of each torso mesh.Results: For remeshed torsos where electrodes match with a geometrical node in the mesh, all mesh densities presented similar results. On the other hand, in torsos with electrodes assigned to closest nodes in remeshed geometries performance metrics were dependent on mesh densities, with correlation coefficients ranging from 0.53 ± 0.06 to 0.92 ± 0.04 in simulations or from 0.42 ± 0.38 to 0.89 ± 0.2 in patients. Dominant frequency relative errors showed the same trend with values from 1.14 ± 0.26 to 0.55 ± 0.21 Hz in simulations and from 0.91 ± 0.56 to 0.45 ± 0.41 Hz in patients.Conclusion: The effect of mesh density in ECGI is minimal when the location of the electrode is preserved as a node in the mesh. Torso meshes constructed without imposing electrodes to constitute nodes in the torso geometry should contain at least 400 nodes homogeneously distributed so that a distance between nodes is below 4 cm. |
| first_indexed | 2024-04-13T01:57:18Z |
| format | Article |
| id | doaj.art-873357e3cd6243bd88f116323f683454 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-04-13T01:57:18Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Physiology |
| spelling | doaj.art-873357e3cd6243bd88f116323f6834542022-12-22T03:07:44ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2022-08-011310.3389/fphys.2022.908364908364Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillationRubén Molero0Ana González-Ascaso1Ismael Hernández-Romero2David Lundback-Mompó3Andreu M. Climent4María S. Guillem5ITACA Institute, Universitat Politècnica de València, València, SpainITACA Institute, Universitat Politècnica de València, València, SpainITACA Institute, Universitat Politècnica de València, València, SpainCorify Care SL, Madrid, SpainITACA Institute, Universitat Politècnica de València, València, SpainITACA Institute, Universitat Politècnica de València, València, SpainIntroduction: Electrocardiographic Imaging (ECGI) allows computing the electrical activity in the heart non-invasively using geometrical information of the patient and multiple body surface signals. In the present study we investigate the influence of the number of nodes of geometrical meshes and recording ECG electrodes distribution to compute ECGI during atrial fibrillation (AF).Methods: Torso meshes from 100 to 2000 nodes heterogeneously and homogeneously distributed were compared. Signals from nine AF realistic mathematical simulations were used for computing the ECGI. Results for each torso mesh were compared with the ECGI computed with a 4,000 nodes reference torso. In addition, real AF recordings from 25 AF patients were used to compute ECGI in torso meshes from 100 to 1,000 nodes. Results were compared with a reference torso of 2000 nodes. Torsos were remeshed either by reducing the number of nodes while maximizing the overall shape preservation and then assigning the location of the electrodes as the closest node in the new mesh or by forcing the remesher to place a node at each electrode location. Correlation coefficients, relative difference measurements and relative difference of dominant frequencies were computed to evaluate the impact on signal morphology of each torso mesh.Results: For remeshed torsos where electrodes match with a geometrical node in the mesh, all mesh densities presented similar results. On the other hand, in torsos with electrodes assigned to closest nodes in remeshed geometries performance metrics were dependent on mesh densities, with correlation coefficients ranging from 0.53 ± 0.06 to 0.92 ± 0.04 in simulations or from 0.42 ± 0.38 to 0.89 ± 0.2 in patients. Dominant frequency relative errors showed the same trend with values from 1.14 ± 0.26 to 0.55 ± 0.21 Hz in simulations and from 0.91 ± 0.56 to 0.45 ± 0.41 Hz in patients.Conclusion: The effect of mesh density in ECGI is minimal when the location of the electrode is preserved as a node in the mesh. Torso meshes constructed without imposing electrodes to constitute nodes in the torso geometry should contain at least 400 nodes homogeneously distributed so that a distance between nodes is below 4 cm.https://www.frontiersin.org/articles/10.3389/fphys.2022.908364/fullelectrocardiographic imaginggeometrytorsoatrial fibrillationmesh density |
| spellingShingle | Rubén Molero Ana González-Ascaso Ismael Hernández-Romero David Lundback-Mompó Andreu M. Climent María S. Guillem Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation Frontiers in Physiology electrocardiographic imaging geometry torso atrial fibrillation mesh density |
| title | Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation |
| title_full | Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation |
| title_fullStr | Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation |
| title_full_unstemmed | Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation |
| title_short | Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation |
| title_sort | effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation |
| topic | electrocardiographic imaging geometry torso atrial fibrillation mesh density |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2022.908364/full |
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