130050 20241125101150.0 doi 10.1109/JBHI.2023.3297550 sideral 136337 ART-2023-136337 eng Bueno-Palomeque, Freddy L. QRS-T angles as markers for heart sphericity in subjects with intrauterine growth restriction: a simulation study 2023 Access copy available to the general public Unrestricted Changes induced by intrauterine growth restriction (IUGR) in cardiovascular anatomy and function that persist throughout life have been associated with a higher predisposition to heart disease in adulthood. Together with cardiac morphological remodelling, evaluated through the ventricular sphericity index, alterations in cardiac electrical function have been reported by characterization of the depolarization and repolarization loops, and their angular relationship, measured from the vectorcardiogram. The underlying relationship between the morphological remodelling and the angular variation of QRS and T-wave dominant vectors, if any, has not been explored. The aim of this study was to evaluate this relationship using computational models based on realistic heart and torso in which IUGR-induced morphological changes were incorporated by reducing the ventricular sphericity index. Specifically, we departed from a control model and we built eight different globular heart models by reducing the base-to-apex length and enlarging the basal ventricular diameter. We computed QRS and T-wave dominant vectors and angles from simulated pseudo-electrocardiograms and we compared them with clinical measurements. Results for the QRS to T angles follow a change trend congruent with that reported in clinical data, supporting the hypothesis that the IUGR-induced morphological remodelling could contribute to explain the observed angle changes in IUGR patients. By additionally varying the position of the ventricles with respect to the torso and the electrodes, we found that electrode displacement can impact the quantified angles and should be considered when interpreting the results. info:eu-repo/grantAgreement/ES/AEI/PID2020-119457GB-I00 info:eu-repo/grantAgreement/ES/AEI/PID2021-128972OA-I00 info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R info:eu-repo/grantAgreement/ES/DGA/LMP94_21 info:eu-repo/grantAgreement/ES/MICINN/PID2019-105674RB-I00 info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027420-I info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 6.7 2023 COMPUTER SCIENCE, INFORMATION SYSTEMS 26 / 250 = 0.104 2023 Q1 T1 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 1.964 2023 Electrical and Electronic Engineering 2023 Q1 Biotechnology 2023 Q1 Health Information Management 2023 Q1 Health Informatics 2023 Q1 Computer Science Applications 2023 Q1 13.6 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Mountris, Konstantinos A. Ortigosa, Nuria Bailón, Raquel Universidad de Zaragoza (orcid)0000-0003-1272-0550 Bijnens, Bart Crispi, Fàtima Pueyo, Esther Universidad de Zaragoza (orcid)0000-0002-1960-407X Mincholé, Ana Universidad de Zaragoza (orcid)0000-0003-3183-4107 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, 10 (2023), 4707-4718 IEEE j. biomed. health inform. IEEE journal of biomedical and health informatics 2168-2194 4617608 http://zaguan.unizar.es/record/130050/files/texto_completo.pdf Versión publicada 3783460 http://zaguan.unizar.es/record/130050/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:130050 articulos driver 2024-11-22-12:06:35 ARTICLE