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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.22489/CinC.2023.408</dc:identifier><dc:language>eng</dc:language><dc:creator>Gómez Fonseca, Neurys</dc:creator><dc:creator>Ramírez, Julia</dc:creator><dc:creator>Martin-Yebra, Alba</dc:creator><dc:creator>M. Demidova, Marina</dc:creator><dc:creator>Platonov, Pyotr</dc:creator><dc:creator>Martínez, Juan Pablo</dc:creator><dc:creator>Laguna, Pablo</dc:creator><dc:title>Changes in T-peak-to-T-end Morphology Measured by Time-Warping Are Associated with Ischemia-Induced Ventricular Fibrillation in a Porcine Model</dc:title><dc:identifier>ART-2023-136867</dc:identifier><dc:description>In this work, we use a time-warping-based morphology variation index, dw , computed between the peak and the end of the T-wave, and assess its association with the occurrence of ventricular fibrillation (VF) episodes in ischemic conditions. ECG recordings from 26 pigs under- going a 40-minute coronary occlusion were analyzed. The dw series was obtained by quantifying the morphological differences between the final part of the T wave at different stages of the occlusion and a reference T wave in the control recording. During control recordings, dw remained stationary with a median value along each recording of 1.76 ms, IQR of 1.80, while during artery occlusion followed a well-marked gradual increasing trend as ischemia progressed, with median of 15.47 ms, IQR of 18.53. At the 20-to-25 min period from occlusion onset (and during 5 min prior to VF episode) d w averages in the VF group was significantly higher than in the non-VF group with median values of 40.0 (and 34.4) vs 7.8 (and 7.7) ms, with p-values of 0.002 (and 0.001), respectively. In conclusion, dynamic increases of the dw index during ischaemia progression in pigs are associated with VF occurrence.</dc:description><dc:date>2023</dc:date><dc:source>http://zaguan.unizar.es/record/131452</dc:source><dc:doi>10.22489/CinC.2023.408</dc:doi><dc:identifier>http://zaguan.unizar.es/record/131452</dc:identifier><dc:identifier>oai:zaguan.unizar.es:131452</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/AEI/PID2021-128972OA-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA/LMP141-21</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/PID2019-105674RB-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031413-I</dc:relation><dc:relation>info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00</dc:relation><dc:identifier.citation>Computing in Cardiology 50 (2023), [4 pp.]</dc:identifier.citation><dc:rights>All rights reserved</dc:rights><dc:rights>http://www.europeana.eu/rights/rr-f/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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