Time-warping analysis of the T-wave peak-to-end Interval to quantify ventricular repolarization dispersion during ischemia

Gómez, Neurys (Universidad de Zaragoza) ; Ramírez, Julia (Universidad de Zaragoza) ; Martínez, Juan Pablo (Universidad de Zaragoza) ; Laguna, Pablo (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1109/JBHI.2023.3310878

Año: 2023

Publicado en: IEEE journal of biomedical and health informatics 27, 11 (2023), 5314-5325
ISSN: 2168-2194

Factor impacto JCR: 6.7 (2023)

Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 26 / 249 = 0.104 (2023) - Q1 - T1
Categ. JCR: MATHEMATICAL & COMPUTATIONAL BIOLOGY rank: 5 / 65 = 0.077 (2023) - Q1 - T1
Categ. JCR: MEDICAL INFORMATICS rank: 3 / 44 = 0.068 (2023) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 20 / 169 = 0.118 (2023) - Q1 - T1

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

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

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/MICINN/PID2019-104881RB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-105674RB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031413-I
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00

Tipo y forma: Artículo (PostPrint)

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