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

[EN] 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 wa...

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Autores: Osorio, Diego, Vraka, Aikaterini, Moreno-Arribas, José, Bertomeu-González, Vicente, Alcaraz, Raúl, Rieta, J J|||0000-0002-3364-6380
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/194781
Acceso en línea:https://riunet.upv.es/handle/10251/194781
Access Level:acceso abierto
Palabra clave:Atrial fibrillation
Electrogram
Complex fractionated atrial electrograms
Local activation waves
Detection
Invasive recordings
Cycle length
Comparison
TECNOLOGIA ELECTRONICA
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv 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
spellingShingle Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation
Osorio, Diego
Atrial fibrillation
Electrogram
Complex fractionated atrial electrograms
Local activation waves
Detection
Invasive recordings
Cycle length
Comparison
TECNOLOGIA ELECTRONICA
title_short 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_sort Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation
dc.creator.none.fl_str_mv Osorio, Diego
Vraka, Aikaterini
Moreno-Arribas, José
Bertomeu-González, Vicente
Alcaraz, Raúl
Rieta, J J|||0000-0002-3364-6380
author Osorio, Diego
author_facet Osorio, Diego
Vraka, Aikaterini
Moreno-Arribas, José
Bertomeu-González, Vicente
Alcaraz, Raúl
Rieta, J J|||0000-0002-3364-6380
author_role author
author2 Vraka, Aikaterini
Moreno-Arribas, José
Bertomeu-González, Vicente
Alcaraz, Raúl
Rieta, J J|||0000-0002-3364-6380
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Electrónica
Escuela Politécnica Superior de Gandia
Biosignals & Minimally Invasive Technologies-BioMIT
GENERALITAT VALENCIANA
AGENCIA ESTATAL DE INVESTIGACION
Agencia Estatal de Investigación
European Regional Development Fund
Junta de Comunidades de Castilla-La Mancha
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Atrial fibrillation
Electrogram
Complex fractionated atrial electrograms
Local activation waves
Detection
Invasive recordings
Cycle length
Comparison
TECNOLOGIA ELECTRONICA
topic Atrial fibrillation
Electrogram
Complex fractionated atrial electrograms
Local activation waves
Detection
Invasive recordings
Cycle length
Comparison
TECNOLOGIA ELECTRONICA
description [EN] 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-10-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/194781
url https://riunet.upv.es/handle/10251/194781
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 PID2021-123804OB-I00 INTELIGENCIA ARTIFICIAL PARA LA MEDICINA MÓVIL INNOVADORA EN ENFERMEDADES CARDIOVASCULARES
Generalitat Valenciana https://doi.org/10.13039/501100003359 AICO%2F2021%2F286 Inteligencia Artificial para Revolucionar la Medicina Móvil Usando Dispositivos Llevables
Junta de Comunidades de Castilla-La Mancha https://doi.org/10.13039/501100011698 SBPLY%2F17%2F180501%2F000411 Caracterización del sustrato auricular mediante análisis de señal como herramienta de asistencia procedimental en ablación por catéter de fibrilación auricular
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 PID2021-00X128525-IV0
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial FibrillationOsorio, DiegoVraka, AikateriniMoreno-Arribas, JoséBertomeu-González, VicenteAlcaraz, RaúlRieta, J J|||0000-0002-3364-6380Atrial fibrillationElectrogramComplex fractionated atrial electrogramsLocal activation wavesDetectionInvasive recordingsCycle lengthComparisonTECNOLOGIA ELECTRONICA[EN] 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.This research has received financial support from public grants PID2021-123804OB-I00 and PID2021-00X128525-IV0 of the Spanish Government with DOI 10.13039/501100011033 jointly with the European Regional Development Fund (EU), and regional grants SBPLY/17/180501/000411 from Junta de Comunidades de Castilla-La Mancha and AICO/2021/286 from Generalitat Valenciana.MDPI AGDepartamento de Ingeniería ElectrónicaEscuela Politécnica Superior de GandiaBiosignals & Minimally Invasive Technologies-BioMITGENERALITAT VALENCIANAAGENCIA ESTATAL DE INVESTIGACIONAgencia Estatal de InvestigaciónEuropean Regional Development FundJunta de Comunidades de Castilla-La ManchaRepositorio Institucional de la Universitat Politècnica de València Riunet20222022-10-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/194781reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 PID2021-123804OB-I00 INTELIGENCIA ARTIFICIAL PARA LA MEDICINA MÓVIL INNOVADORA EN ENFERMEDADES CARDIOVASCULARESGeneralitat Valenciana https://doi.org/10.13039/501100003359 AICO%2F2021%2F286 Inteligencia Artificial para Revolucionar la Medicina Móvil Usando Dispositivos LlevablesJunta de Comunidades de Castilla-La Mancha https://doi.org/10.13039/501100011698 SBPLY%2F17%2F180501%2F000411 Caracterización del sustrato auricular mediante análisis de señal como herramienta de asistencia procedimental en ablación por catéter de fibrilación auricularAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 PID2021-00X128525-IV0open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1947812026-06-13T07:49:27Z
score 15,300724

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