130052 20250702132815.0 doi 10.1109/JBHI.2023.3310878 sideral 136351 ART-2023-136351 eng Gómez, Neurys Universidad de Zaragoza (orcid)0000-0003-4078-5968 Time-warping analysis of the T-wave peak-to-end Interval to quantify ventricular repolarization dispersion during ischemia 2023 Access copy available to the general public Unrestricted Variations in the dispersion of ventricular repolarization can be quantified by T-wave time-warping based index, dw . However, the early phase of the T-wave can be affected by ST-segment changes during ischemia. We hypothesized that restricting dw to the T-wave peak-to-end ( Tpe ) would circumvent this limitation while still quantifying variations in repolarization dispersion. A total of 101 ECG recordings from patients undergoing coronary occlusion, together with their control recordings, were analyzed. A series of dw values was calculated by quantifying the Tpe morphological variations between the T-waves at different occlusion stages and a baseline T-wave. We introduced a normalized version of dw , Rd , reflecting variations of dw during occlusion relative to control recordings ( Rd=1 corresponds to the same level of variation). The dw series followed a gradually increasing trend with occlusion time, reaching median [range] Rd values of 9.44 [1.01, 80.74] at the occlusion end. Rd at occlusion end was significantly higher than threshold values of 1, 2, 5, and 10 in 94.1%, 85.11%, 64.4% and 48.5% of patients, respectively. The spatial lead-wise analysis of dw showed distinct distributions depending on the occluded artery, suggesting a relation with the ischemia location. The relative variation R with ischemia of index dw (9.4) is greater than that of the T-wave amplitude (7.7), Tpe interval (2.7) and T-wave width (3.0). In conclusion, dw tracks ischemic-induced variations in repolarization dispersion in a more robust manner than classical indexes, avoiding the impact of ST segment elevation/depression or early T-wave distortions, thus warranting further clinical studies. info:eu-repo/grantAgreement/ES/AEI/PID2021-128972OA-I00 info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00 info:eu-repo/grantAgreement/ES/MICINN/PID2019-105674RB-I00 info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031413-I info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 6.7 2023 MATHEMATICAL & COMPUTATIONAL BIOLOGY 5 / 66 = 0.076 2023 Q1 T1 MEDICAL INFORMATICS 3 / 44 = 0.068 2023 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 21 / 170 = 0.124 2023 Q1 T1 COMPUTER SCIENCE, INFORMATION SYSTEMS 26 / 250 = 0.104 2023 Q1 T1 1.964 2023 Biotechnology 2023 Q1 Computer Science Applications 2023 Q1 Health Information Management 2023 Q1 Health Informatics 2023 Q1 Electrical and Electronic Engineering 2023 Q1 13.6 2023 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Ramírez, Julia Universidad de Zaragoza (orcid)0000-0003-4130-5866 Martínez, Juan Pablo Universidad de Zaragoza (orcid)0000-0002-7503-3339 Laguna, Pablo Universidad de Zaragoza (orcid)0000-0003-3434-9254 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 27, 11 (2023), 5314-5325 IEEE j. biomed. health inform. IEEE journal of biomedical and health informatics 2168-2194 984735 http://zaguan.unizar.es/record/130052/files/texto_completo.pdf Postprint 1501613 http://zaguan.unizar.es/record/130052/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:130052 articulos driver 2025-07-02-13:26:07 ARTICLE