Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0022-0736(72)80032-3 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Reproducibility of global electrical heterogeneity measurements on 12-lead ECG: The Multi-Ethnic Study of Atherosclerosis.
J Electrocardiol
December 2021
Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States of America; Cardiovascular Division, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States of America. Electronic address:
Objective: Vectorcardiographic (VCG) global electrical heterogeneity (GEH) metrics showed clinical usefulness. We aimed to assess the reproducibility of GEH metrics.
Methods: GEH was measured on two 10-s 12‑lead ECGs recorded on the same day in 4316 participants of the Multi-Ethnic Study of Atherosclerosis (age 69.
Global Electrical Heterogeneity: Mechanisms and Clinical Significance.
Comput Cardiol (2010)
September 2018
Oregon Health & Science University, Portland, Oregon, USA.
This review summarizes recent findings and discusses a clinical significance of a vectorcardiographic (VCG) Global electrical heterogeneity (GEH). GEH concept is based on the concept of the spatial ventricular gradient (SVG), which is a global measure of the dispersion of total recovery time. We quantify GEH by measuring five features of the SVG vector (SVG magnitude, direction (azimuth and elevation), a scalar value, and spatial QRS-T angle) on orthogonal XYZ ECG.
View Article and Find Full Text PDFThe Reproducibility of Global Electrical Heterogeneity ECG Measurements.
Comput Cardiol (2010)
September 2018
Oregon Health & Science University, Portland, OR, USA.
Background: Global electrical heterogeneity (GEH) is a useful predictor of adverse clinical outcomes. However, reproducibility of GEH measurements on 10-second routine clinical ECG is unknown.
Methods: Data of the prospective cohort study of incident hemodialysis patients (n=253; mean age 54.
A quantitative assessment of T-wave morphology in LQT1, LQT2, and healthy individuals based on Holter recording technology.
Heart Rhythm
January 2008
Heart Research Follow-Up Program, University of Rochester Medical Center, Rochester, New York, USA.
Background: The clinical course and the precipitating risk factors in the congenital long QT syndrome (LQTS) are genotype specific.
Objectives: The goal of this study was to develop a computer algorithm allowing for electrocardiogram (ECG)-based identification and differentiation of LQT1 and LQT2 carriers.
Methods: Twelve-lead ECG Holter monitor recordings were acquired in 49 LQT1 carriers, 25 LQT2 carriers, and 38 healthy subjects as controls.
Validation of advanced ECG diagnostic software for the detection of prior myocardial infarction by using nuclear cardiac imaging.
J Electrocardiol
February 2002
Inovise Medical, Inc., Newberg, OR 97132, USA.
The investigators report the diagnostic performance of the latest version (Version 2.5) of the recently developed Cardiovise algorithm for detecting prior myocardial infarction (MI). The Cardiovise 2.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!