299 518

Cited 26 times in

Multiple factors influence the morphology of the bipolar electrogram: An in silico modeling study

DC Field Value Language
dc.contributor.author박희남-
dc.contributor.author임병현-
dc.contributor.author정보영-
dc.date.accessioned2019-07-11T03:31:41Z-
dc.date.available2019-07-11T03:31:41Z-
dc.date.issued2019-
dc.identifier.issn1553-734X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/170015-
dc.description.abstractAlthough bipolar electrograms (Bi-egms) are commonly used for catheter mapping and ablation of cardiac arrhythmias, the accuracy and reproducibility of Bi-egms have not been evaluated. We aimed to clarify the influence of the catheter orientation (CO), catheter contact angle (CA), local conduction velocity (CV), scar size, and catheter type on the Bi-egm morphology using an in silico 3-dimensional realistic model of atrial fibrillation. We constructed a 3-dimensional, realistic, in silico left atrial model with activation wave propagation including bipolar catheter models. Bi-egms were obtained by computing the extracellular potentials from the distal and proximal electrodes. The amplitude and width were measured on virtual Bi-egms obtained under different conditions created by changing the CO according to the wave direction, catheter-atrial wall CA, local CV, size of the non-conductive area, and catheter type. Bipolar voltages were also compared between virtual and clinically acquired Bi-egms. Bi-egm amplitudes were lower for a perpendicular than parallel CO relative to the wave direction (p<0.001), lower for a 90° than 0° CA (p<0.001), and lower for a CV of 0.13m/s than 0.48m/s (p<0.001). Larger sized non-conductive areas were associated with a decreased bipolar amplitude (p<0.001) and increased bipolar width (p<0.001). Among three commercially available catheters (Orion, Pentaray, and Thermocool), those with more narrowly spaced and smaller electrodes produced higher voltages on the virtual Bi-egms (p<0.001). Multiple factors including the CO, CA, CV, and catheter design significantly influence the Bi-egm morphology. Universal voltage cut-off values may not be appropriate for bipolar voltage-guided substrate mapping.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherPublic Library of Science-
dc.relation.isPartOfPLOS COMPUTATIONAL BIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAtrial Fibrillation/physiopathology*-
dc.subject.MESHAtrial Fibrillation/surgery*-
dc.subject.MESHCatheter Ablation/instrumentation*-
dc.subject.MESHCatheter Ablation/statistics & numerical data-
dc.subject.MESHComputational Biology-
dc.subject.MESHComputer Simulation-
dc.subject.MESHElectrodes-
dc.subject.MESHElectrophysiologic Techniques, Cardiac/instrumentation*-
dc.subject.MESHElectrophysiologic Techniques, Cardiac/statistics & numerical data-
dc.subject.MESHElectrophysiological Phenomena-
dc.subject.MESHHeart Conduction System/physiopathology-
dc.subject.MESHHeart Conduction System/surgery-
dc.subject.MESHHumans-
dc.subject.MESHModels, Cardiovascular-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHUser-Computer Interface-
dc.titleMultiple factors influence the morphology of the bipolar electrogram: An in silico modeling study-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorMinki Hwang-
dc.contributor.googleauthorJaehyuk Kim-
dc.contributor.googleauthorByounghyun Lim-
dc.contributor.googleauthorJun-Seop Song-
dc.contributor.googleauthorBoyoung Joung-
dc.contributor.googleauthorEun Bo Shim-
dc.contributor.googleauthorHui-Nam Pak-
dc.identifier.doi10.1371/journal.pcbi.1006765-
dc.contributor.localIdA01776-
dc.contributor.localIdA05396-
dc.contributor.localIdA03609-
dc.relation.journalcodeJ02537-
dc.identifier.eissn1553-7358-
dc.identifier.pmid30951529-
dc.contributor.alternativeNamePak, Hui Nam-
dc.contributor.affiliatedAuthor박희남-
dc.contributor.affiliatedAuthor임병현-
dc.contributor.affiliatedAuthor정보영-
dc.citation.volume15-
dc.citation.number4-
dc.citation.startPagee1006765-
dc.identifier.bibliographicCitationPLOS COMPUTATIONAL BIOLOGY, Vol.15(4) : e1006765, 2019-
dc.identifier.rimsid62291-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.