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The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity
Date
2021-09-01
Author
Rababah, Ali S.
Bear, Laura R.
Serinağaoğlu Doğrusöz, Yeşim
Good, Wilson
Bergquist, Jake
Stoks, Job
MacLeod, Rob
Rjoob, Khaled
Jennings, Michael
Mclaughlin, James
Finlay, Dewar D.
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Electrocardiographic imaging is an imaging modality that has been introduced recently to help in visualizing the electrical activity of the heart and consequently guide the ablation therapy for ventricular arrhythmias. One of the main challenges of this modality is that the electrocardiographic signals recorded at the torso surface are contaminated with noise from different sources. Low amplitude leads are more affected by noise due to their low peak-to-peak amplitude. In this paper, we have studied 6 datasets from two torso tank experiments (Bordeaux and Utah experiments) to investigate the impact of removing or interpolating these low amplitude leads on the inverse reconstruction of cardiac electrical activity. Body surface potential maps used were calculated by using the full set of recorded leads, removing 1, 6, 11, 16, or 21 low amplitude leads, or interpolating 1, 6, 11, 16, or 21 low amplitude leads using one of the three interpolation methods – Laplacian interpolation, hybrid interpolation, or the inverse-forward interpolation. The epicardial potential maps and activation time maps were computed from these body surface potential maps and compared with those recorded directly from the heart surface in the torso tank experiments. There was no significant change in the potential maps and activation time maps after the removal of up to 11 low amplitude leads. Laplacian interpolation and hybrid interpolation improved the inverse reconstruction in some datasets and worsened it in the rest. The inverse forward interpolation of low amplitude leads improved it in two out of 6 datasets and at least remained the same in the other datasets. It was noticed that after doing the inverse-forward interpolation, the selected lambda value was closer to the optimum lambda value that gives the inverse solution best correlated with the recorded one.
Subject Keywords
Inverse-forward interpolation
,
Hybrid interpolation
,
Laplacian interpolation
,
Low amplitude leads
,
Inverse reconstruction of cardiac electrical 
,
activity
,
Potential maps
,
Activation times maps
,
SURFACE POTENTIAL MAPS
,
REDUNDANCY REDUCTION
,
IMPROVED DISPLAY
,
Activation times maps
,
Hybrid interpolation
,
Inverse reconstruction of cardiac electrical activity
,
Inverse-forward interpolation
,
Laplacian interpolation
,
Low amplitude leads
,
Potential maps
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85111072896&origin=inward
https://hdl.handle.net/11511/94895
Journal
Computers in Biology and Medicine
DOI
https://doi.org/10.1016/j.compbiomed.2021.104666
Collections
Department of Electrical and Electronics Engineering, Article
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A. S. Rababah et al., “The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity,”
Computers in Biology and Medicine
, vol. 136, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85111072896&origin=inward.