QRS-T angles as markers for heart sphericity in subjects with intrauterine growth restriction: a simulation study

Bueno-Palomeque, Freddy L. ; Mountris, Konstantinos A. ; Ortigosa, Nuria ; Bailón, Raquel (Universidad de Zaragoza) ; Bijnens, Bart ; Crispi, Fàtima ; Pueyo, Esther (Universidad de Zaragoza) ; Mincholé, Ana (Universidad de Zaragoza) ; Laguna, Pablo (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1109/JBHI.2023.3297550

Año: 2023

Publicado en: IEEE journal of biomedical and health informatics 27, 10 (2023), 4707-4718
ISSN: 2168-2194

Factor impacto JCR: 6.7 (2023)

Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 26 / 250 = 0.104 (2023) - Q1 - T1
Categ. JCR: MATHEMATICAL & COMPUTATIONAL BIOLOGY rank: 5 / 66 = 0.076 (2023) - Q1 - T1
Categ. JCR: MEDICAL INFORMATICS rank: 3 / 44 = 0.068 (2023) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 21 / 170 = 0.124 (2023) - Q1 - T1

Factor impacto CITESCORE: 13.6 - Computer Science Applications (Q1) - Electrical and Electronic Engineering (Q1) - Health Information Management (Q1) - Health Informatics (Q1)

Factor impacto SCIMAGO: 1.964 - Electrical and Electronic Engineering (Q1) - Biotechnology (Q1) - Health Information Management (Q1) - Health Informatics (Q1) - Computer Science Applications (Q1)

Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2020-119457GB-I00
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2021-128972OA-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP94_21
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-105674RB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027420-I
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)