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Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation

Atrial cycle length (CL) is an important feature for the analysis of electrogram (EGM) characteristics acquired during catheter ablation (CA) of atrial fibrillation (AF), the commonest cardiac arrhythmia. Nevertheless, a robust ACL estimator requires the precise detection of local activation waves (...

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Autores principales: Osorio, Diego, Vraka, Aikaterini, Moreno-Arribas, José, Bertomeu-González, Vicente, Alcaraz, Raúl, Rieta, José J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604643/
https://www.ncbi.nlm.nih.gov/pubmed/36294851
http://dx.doi.org/10.3390/jpm12101712
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author Osorio, Diego
Vraka, Aikaterini
Moreno-Arribas, José
Bertomeu-González, Vicente
Alcaraz, Raúl
Rieta, José J.
author_facet Osorio, Diego
Vraka, Aikaterini
Moreno-Arribas, José
Bertomeu-González, Vicente
Alcaraz, Raúl
Rieta, José J.
author_sort Osorio, Diego
collection PubMed
description Atrial cycle length (CL) is an important feature for the analysis of electrogram (EGM) characteristics acquired during catheter ablation (CA) of atrial fibrillation (AF), the commonest cardiac arrhythmia. Nevertheless, a robust ACL estimator requires the precise detection of local activation waves (LAWs), which still remains a challenge. This work aims to compare the performance in (CL) estimation, especially under fractionated EGMs, of three different LAW detection methods relying on different operation strategies. The methods are based on the hyperbolic tangent (HT) function, an adaptive amplitude threshold (AAT) and a (CL) iteration (ACLI), respectively. For each method, LAW detection has been assessed with respect to manual annotations made by two experts and performance has been estimated by confusion matrix and mean and individual (CL) error calculation by EGM types of fractionation. The influence of EGM length on the individual (CL) error has been additionally considered. For the HT method, accuracy, sensitivity and precision were 92.77–100%, while for the AAT and ACLI methods they were 78.89–99.91% for all EGM types. The CL error on the HT method was lower than AAT and ACLI methods (up to 12 ms versus up to 20 ms), with the difference being more prominent in complex EGMs. The HT method also showed the lowest dependency on EGM length, presenting the lowest and least variable error values. Therefore, the HT method achieves higher performance in (CL) estimation in comparison with previous LAW detection techniques. The high robustness and precision demonstrated by this method suggest its implementation on CA mapping devices for a more successful location of ablation targets and improved results during CA procedures.
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spelling pubmed-96046432022-10-27 Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation Osorio, Diego Vraka, Aikaterini Moreno-Arribas, José Bertomeu-González, Vicente Alcaraz, Raúl Rieta, José J. J Pers Med Article Atrial cycle length (CL) is an important feature for the analysis of electrogram (EGM) characteristics acquired during catheter ablation (CA) of atrial fibrillation (AF), the commonest cardiac arrhythmia. Nevertheless, a robust ACL estimator requires the precise detection of local activation waves (LAWs), which still remains a challenge. This work aims to compare the performance in (CL) estimation, especially under fractionated EGMs, of three different LAW detection methods relying on different operation strategies. The methods are based on the hyperbolic tangent (HT) function, an adaptive amplitude threshold (AAT) and a (CL) iteration (ACLI), respectively. For each method, LAW detection has been assessed with respect to manual annotations made by two experts and performance has been estimated by confusion matrix and mean and individual (CL) error calculation by EGM types of fractionation. The influence of EGM length on the individual (CL) error has been additionally considered. For the HT method, accuracy, sensitivity and precision were 92.77–100%, while for the AAT and ACLI methods they were 78.89–99.91% for all EGM types. The CL error on the HT method was lower than AAT and ACLI methods (up to 12 ms versus up to 20 ms), with the difference being more prominent in complex EGMs. The HT method also showed the lowest dependency on EGM length, presenting the lowest and least variable error values. Therefore, the HT method achieves higher performance in (CL) estimation in comparison with previous LAW detection techniques. The high robustness and precision demonstrated by this method suggest its implementation on CA mapping devices for a more successful location of ablation targets and improved results during CA procedures. MDPI 2022-10-13 /pmc/articles/PMC9604643/ /pubmed/36294851 http://dx.doi.org/10.3390/jpm12101712 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Osorio, Diego
Vraka, Aikaterini
Moreno-Arribas, José
Bertomeu-González, Vicente
Alcaraz, Raúl
Rieta, José J.
Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation
title Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation
title_full Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation
title_fullStr Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation
title_full_unstemmed Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation
title_short Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation
title_sort comparative study of methods for cycle length estimation in fractionated electrograms of atrial fibrillation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604643/
https://www.ncbi.nlm.nih.gov/pubmed/36294851
http://dx.doi.org/10.3390/jpm12101712
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