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Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation

Most cardiac arrhythmias can be classified as atrial flutter, focal atrial tachycardia, or atrial fibrillation. They have been usually treated using drugs, but catheter ablation has proven more effective. This is an invasive method devised to destroy the heart tissue that disturbs correct heart rhyt...

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Autores principales: Cirugeda-Roldán, Eva María, Molina Picó, Antonio, Novák, Daniel, Cuesta-Frau, David, Kremen, Vaclav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020546/
https://www.ncbi.nlm.nih.gov/pubmed/30008796
http://dx.doi.org/10.1155/2018/1874651
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author Cirugeda-Roldán, Eva María
Molina Picó, Antonio
Novák, Daniel
Cuesta-Frau, David
Kremen, Vaclav
author_facet Cirugeda-Roldán, Eva María
Molina Picó, Antonio
Novák, Daniel
Cuesta-Frau, David
Kremen, Vaclav
author_sort Cirugeda-Roldán, Eva María
collection PubMed
description Most cardiac arrhythmias can be classified as atrial flutter, focal atrial tachycardia, or atrial fibrillation. They have been usually treated using drugs, but catheter ablation has proven more effective. This is an invasive method devised to destroy the heart tissue that disturbs correct heart rhythm. In order to accurately localise the focus of this disturbance, the acquisition and processing of atrial electrograms form the usual mapping technique. They can be single potentials, double potentials, or complex fractionated atrial electrogram (CFAE) potentials, and last ones are the most effective targets for ablation. The electrophysiological substrate is then localised by a suitable signal processing method. Sample Entropy is a statistic scarcely applied to electrograms but can arguably become a powerful tool to analyse these time series, supported by its results in other similar biomedical applications. However, the lack of an analysis of its dependence on the perturbations usually found in electrogram data, such as missing samples or spikes, is even more marked. This paper applied SampEn to the segmentation between non-CFAE and CFAE records and assessed its class segmentation power loss at different levels of these perturbations. The results confirmed that SampEn was able to significantly distinguish between non-CFAE and CFAE records, even under very unfavourable conditions, such as 50% of missing data or 10% of spikes.
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spelling pubmed-60205462018-07-15 Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation Cirugeda-Roldán, Eva María Molina Picó, Antonio Novák, Daniel Cuesta-Frau, David Kremen, Vaclav Comput Math Methods Med Research Article Most cardiac arrhythmias can be classified as atrial flutter, focal atrial tachycardia, or atrial fibrillation. They have been usually treated using drugs, but catheter ablation has proven more effective. This is an invasive method devised to destroy the heart tissue that disturbs correct heart rhythm. In order to accurately localise the focus of this disturbance, the acquisition and processing of atrial electrograms form the usual mapping technique. They can be single potentials, double potentials, or complex fractionated atrial electrogram (CFAE) potentials, and last ones are the most effective targets for ablation. The electrophysiological substrate is then localised by a suitable signal processing method. Sample Entropy is a statistic scarcely applied to electrograms but can arguably become a powerful tool to analyse these time series, supported by its results in other similar biomedical applications. However, the lack of an analysis of its dependence on the perturbations usually found in electrogram data, such as missing samples or spikes, is even more marked. This paper applied SampEn to the segmentation between non-CFAE and CFAE records and assessed its class segmentation power loss at different levels of these perturbations. The results confirmed that SampEn was able to significantly distinguish between non-CFAE and CFAE records, even under very unfavourable conditions, such as 50% of missing data or 10% of spikes. Hindawi 2018-06-13 /pmc/articles/PMC6020546/ /pubmed/30008796 http://dx.doi.org/10.1155/2018/1874651 Text en Copyright © 2018 Eva María Cirugeda-Roldán et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Cirugeda-Roldán, Eva María
Molina Picó, Antonio
Novák, Daniel
Cuesta-Frau, David
Kremen, Vaclav
Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation
title Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation
title_full Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation
title_fullStr Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation
title_full_unstemmed Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation
title_short Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation
title_sort sample entropy analysis of noisy atrial electrograms during atrial fibrillation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020546/
https://www.ncbi.nlm.nih.gov/pubmed/30008796
http://dx.doi.org/10.1155/2018/1874651
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