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The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review.
JMIR Cardio
December 2024
School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Background: Cardiovascular disease remains the leading cause of mortality worldwide. Cardiac fibrosis impacts the underlying pathophysiology of many cardiovascular diseases by altering structural integrity and impairing electrical conduction. Identifying cardiac fibrosis is essential for the prognosis and management of cardiovascular disease; however, current diagnostic methods face challenges due to invasiveness, cost, and inaccessibility.
View Article and Find Full Text PDFExploring cardiac vector propagation in acute myocardial infarction: a spatial velocity perspective.
Future Cardiol
January 2025
Department of Physiology, Institute of Postgraduate Medical Education & Research-SSKM Hospital, Kolkata, India.
Aims: To objectively characterize the spatial-velocity dynamics of the QRS-loop in the vectorcardiogram (VCG) of patients with acute myocardial infarction (AMI).
Methods: VCG was constructed as a space curve directly with three quasi-orthogonal leads I, aVF and V2 recorded by conventional ECG of 25 healthy individuals and 50 AMI patients. Spatial velocity (SV) of the dynamic QRS loop, spatial distance (SD), and spatial magnitude (SM) were recorded, along with axis-specific component attributes of vector magnitude such as ΔX, ΔY, and ΔZ.
Ease and accuracy of ECG interpretation using 12-lead ECG versus a combination of 12-lead and vector ECG (electro-vectorcardiogram) by medical students: A prospective, randomised controlled study.
J Electrocardiol
January 2025
Department of Cardiology, JIPMER, India. Electronic address:
Background: The Electrocardiogram (ECG) can be visualised either in a scalar form, as waves in the standard 12‑lead ECG, or vectorially, as vector loops in different planes in the Vectorcardiogram (VCG). An Electro-Vectorcardiogram (ECG-VCG) is a graphic visualization combining scalar and vector ECGs. We aimed to assess if integrating the scalar 12‑lead ECG and vector ECG makes ECG interpretation by medical students more accurate, faster, and easier than using 12‑lead ECG alone.
View Article and Find Full Text PDFAssessment of ventricular electrical heterogeneity in left bundle branch pacing and left ventricular septal pacing by using various electrophysiological methods.
J Cardiovasc Electrophysiol
December 2024
Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.
Introduction: Left bundle branch area pacing (LBBAP) comprises pacing at the left ventricular septum (LVSP) or left bundle branch (LBBP). The aim of the present study was to investigate the differences in ventricular electrical heterogeneity between LVSP, LBBP, right ventricular pacing (RVP) and intrinsic conduction with different dyssynchrony measures using the ECG, vectorcardiograpy, ECG belt, and Ultrahigh frequency (UHF-)ECG.
Methods: Thirty-seven patients with a pacemaker indication for bradycardia or cardiac resynchronization therapy underwent LBBAP implantation.
Monitoring of myocardial injury by serial measurements of QRS area and T area: The MaastrICCht cohort.
Ann Noninvasive Electrocardiol
September 2024
Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
Background: Manually derived electrocardiographic (ECG) parameters were not associated with mortality in mechanically ventilated COVID-19 patients in earlier studies, while increased high-sensitivity cardiac troponin-T (hs-cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) were. To provide evidence for vectorcardiography (VCG) measures as potential cardiac monitoring tool, we investigated VCG trajectories during critical illness.
Methods: All mechanically ventilated COVID-19 patients were included in the Maastricht Intensive Care Covid Cohort between March 2020 and October 2021.
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