Cargando…
Localization of magnetocardiographic sources for myocardial infarction cases using deterministic and Bayesian approaches
In this paper, the inverse problems of cardiac sources using analytical and probabilistic methods are solved and discussed. The standard Tikhonov regularization technique is solved initially to estimate the under-determined heart surface potentials from Magnetocardiographic (MCG) signals. The result...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772220/ https://www.ncbi.nlm.nih.gov/pubmed/36543846 http://dx.doi.org/10.1038/s41598-022-25919-3 |
_version_ | 1784854937466830848 |
---|---|
author | Bhat, Vikas R. Pal, Basudha Anitha, H. Thalengala, Ananthakrishna |
author_facet | Bhat, Vikas R. Pal, Basudha Anitha, H. Thalengala, Ananthakrishna |
author_sort | Bhat, Vikas R. |
collection | PubMed |
description | In this paper, the inverse problems of cardiac sources using analytical and probabilistic methods are solved and discussed. The standard Tikhonov regularization technique is solved initially to estimate the under-determined heart surface potentials from Magnetocardiographic (MCG) signals. The results of the deterministic method subjected to noise in the measurements are discussed and compared with the probabilistic models. Hierarchical Bayesian modeling with fixed Gaussian prior is employed to quantify the uncertainties in source reconstructions. A novel application of Variational Bayesian inference approach has been presented to estimate the heart sources. The reconstruction results of Variational Bayesian model with non-stationary priors are compared with solutions of simplistic Bayesian approach; and the performances are evaluated using Root Mean Square Error (RMSE) and correlation co-efficient metrics. The Bayesian solutions in the study are also extended to localize the MCG sources for two types of Myocardial infarction cases. |
format | Online Article Text |
id | pubmed-9772220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97722202022-12-23 Localization of magnetocardiographic sources for myocardial infarction cases using deterministic and Bayesian approaches Bhat, Vikas R. Pal, Basudha Anitha, H. Thalengala, Ananthakrishna Sci Rep Article In this paper, the inverse problems of cardiac sources using analytical and probabilistic methods are solved and discussed. The standard Tikhonov regularization technique is solved initially to estimate the under-determined heart surface potentials from Magnetocardiographic (MCG) signals. The results of the deterministic method subjected to noise in the measurements are discussed and compared with the probabilistic models. Hierarchical Bayesian modeling with fixed Gaussian prior is employed to quantify the uncertainties in source reconstructions. A novel application of Variational Bayesian inference approach has been presented to estimate the heart sources. The reconstruction results of Variational Bayesian model with non-stationary priors are compared with solutions of simplistic Bayesian approach; and the performances are evaluated using Root Mean Square Error (RMSE) and correlation co-efficient metrics. The Bayesian solutions in the study are also extended to localize the MCG sources for two types of Myocardial infarction cases. Nature Publishing Group UK 2022-12-21 /pmc/articles/PMC9772220/ /pubmed/36543846 http://dx.doi.org/10.1038/s41598-022-25919-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bhat, Vikas R. Pal, Basudha Anitha, H. Thalengala, Ananthakrishna Localization of magnetocardiographic sources for myocardial infarction cases using deterministic and Bayesian approaches |
title | Localization of magnetocardiographic sources for myocardial infarction cases using deterministic and Bayesian approaches |
title_full | Localization of magnetocardiographic sources for myocardial infarction cases using deterministic and Bayesian approaches |
title_fullStr | Localization of magnetocardiographic sources for myocardial infarction cases using deterministic and Bayesian approaches |
title_full_unstemmed | Localization of magnetocardiographic sources for myocardial infarction cases using deterministic and Bayesian approaches |
title_short | Localization of magnetocardiographic sources for myocardial infarction cases using deterministic and Bayesian approaches |
title_sort | localization of magnetocardiographic sources for myocardial infarction cases using deterministic and bayesian approaches |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772220/ https://www.ncbi.nlm.nih.gov/pubmed/36543846 http://dx.doi.org/10.1038/s41598-022-25919-3 |
work_keys_str_mv | AT bhatvikasr localizationofmagnetocardiographicsourcesformyocardialinfarctioncasesusingdeterministicandbayesianapproaches AT palbasudha localizationofmagnetocardiographicsourcesformyocardialinfarctioncasesusingdeterministicandbayesianapproaches AT anithah localizationofmagnetocardiographicsourcesformyocardialinfarctioncasesusingdeterministicandbayesianapproaches AT thalengalaananthakrishna localizationofmagnetocardiographicsourcesformyocardialinfarctioncasesusingdeterministicandbayesianapproaches |