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A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering

hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorLANGFIELD, Peter
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorFENG, Yingjing
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorBEAR, Laura R.
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorDUCHATEAU, Josselin
dc.contributor.authorSEBASTIAN, Rafael
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorABELL, Emma
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorDUBOIS, Remi
dc.contributor.authorLABROUSSE, Louis
dc.contributor.authorROGIER, Julien
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorHOCINI, Meleze
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorHAISSAGUERRE, Michel
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierInstitut de rythmologie et modélisation cardiaque [Pessac] [IHU Liryc]
dc.contributor.authorVIGMOND, Edward
dc.date.accessioned2024-04-04T02:40:06Z
dc.date.available2024-04-04T02:40:06Z
dc.date.issued2021-08-01
dc.identifier.issn1361-8415
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191036
dc.description.abstractEnReliable patient-specific ventricular repolarization times (RTs) can identify regions of functional block or afterdepolarizations, indicating arrhythmogenic cardiac tissue and the risk of sudden cardiac death. Unipolar electrograms (UEs) record electric potentials, and the Wyatt method has been shown to be accurate for estimating RT from a UE. High-pass filtering is an important step in processing UEs, however, it is known to distort the T-wave phase of the UE, which may compromise the accuracy of the Wyatt method. The aim of this study was to examine the effects of high-pass filtering, and improve RT estimates derived from filtered UEs. We first generated a comprehensive set of UEs, corresponding to early and late activation and repolarization, that were then high-pass filtered with settings that mimicked the CARTO filter. We trained a deep neural network (DNN) to output a probabilistic estimation of RT and a measure of confidence, using the filtered synthetic UEs and their true RTs. Unfiltered ex-vivo human UEs were also filtered and the trained DNN used to estimate RT. Even a modest 2 Hz high-pass filter imposes a significant error on RT estimation using the Wyatt method. The DNN outperformed the Wyatt method in 62.75% of cases, and produced a significantly lower absolute error (p=8.99E−13), with a median of 16.91 ms, on 102 ex-vivo UEs. We also applied the DNN to patient UEs from CARTO, from which an RT map was computed. In conclusion, DNNs trained on synthetic UEs improve the RT estimation from filtered UEs, which leads to more reliable repolarization maps that help to identify patient-specific repolarization abnormalities.
dc.description.sponsorshipL'Institut de Rythmologie et modélisation Cardiaque
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enCARTO
dc.subject.enFiltering
dc.subject.enNeural network
dc.subject.enRepolarization
dc.subject.enUnipolar electrogram
dc.title.enA novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering
dc.typeArticle de revue
dc.identifier.doi10.1016/j.media.2021.102075
dc.subject.halSciences de l'ingénieur [physics]
dc.description.sponsorshipEuropePersonalised In-Silico Cardiology
bordeaux.journalMedical Image Analysis
bordeaux.volume72
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03811712
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03811712v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Medical%20Image%20Analysis&rft.date=2021-08-01&rft.volume=72&rft.eissn=1361-8415&rft.issn=1361-8415&rft.au=LANGFIELD,%20Peter&FENG,%20Yingjing&BEAR,%20Laura%20R.&DUCHATEAU,%20Josselin&SEBASTIAN,%20Rafael&rft.genre=article


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