Practice standards for electrocardiographic monitoring in hospital settings: an American Heart Association scientific statement from the Councils on Cardiovascular …

BJ Drew, RM Califf, M Funk, ES Kaufman, MW Krucoff… - Circulation, 2004 - Am Heart Assoc
The goals of electrocardiographic (ECG) monitoring in hospital settings have expanded from
simple heart rate and basic rhythm determination to the diagnosis of complex arrhythmias …

A survey of heart anomaly detection using ambulatory electrocardiogram (ECG)

H Li, P Boulanger - Sensors, 2020 - mdpi.com
Cardiovascular diseases (CVDs) are the number one cause of death globally. An estimated
17.9 million people die from CVDs each year, representing 31% of all global deaths. Most …

Will two do? Varying dimensions in electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021

MA Reyna, N Sadr, EAP Alday, A Gu… - 2021 Computing in …, 2021 - ieeexplore.ieee.org
The PhysioNet/Computing in Cardiology Challenge 2021 focused on the identification of
cardiac abnormalities from electrocardiograms (ECGs) and assessed the diagnostic …

Lightx3ecg: A lightweight and explainable deep learning system for 3-lead electrocardiogram classification

KH Le, HH Pham, TBT Nguyen, TA Nguyen… - … Signal Processing and …, 2023 - Elsevier
Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one
of the most serious dangers to human health, and the number of such patients is still …

Issues in the automated classification of multilead ECGs using heterogeneous labels and populations

MA Reyna, N Sadr, EAP Alday, A Gu… - Physiological …, 2022 - iopscience.iop.org
Objective. The standard twelve-lead electrocardiogram (ECG) is a widely used tool for
monitoring cardiac function and diagnosing cardiac disorders. The development of smaller …

Electrocardiographic systems with reduced numbers of leads—synthesis of the 12-lead ECG

I Tomašić, R Trobec - IEEE reviews in biomedical engineering, 2013 - ieeexplore.ieee.org
Systems with reduced numbers of leads that can synthesize the 12-lead electrocardiogram
(ECG) with an insignificant or a small loss of diagnostic information have been proposed …

Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational …

W Zeng, J Yuan, C Yuan, Q Wang, F Liu… - Artificial Intelligence in …, 2020 - Elsevier
Cardiovascular diseases (CVD) is the leading cause of human mortality and morbidity
around the world, in which myocardial infarction (MI) is a silent condition that irreversibly …

[HTML][HTML] A transferable in-silico augmented ischemic model for virtual myocardial perfusion imaging and myocardial infarction detection

Z Harnod, C Lin, HW Yang, ZW Wang, HL Huang… - Medical Image …, 2024 - Elsevier
This paper proposes an innovative approach to generate a generalized myocardial
ischemia database by modeling the virtual electrophysiology of the heart and the 12-lead …

Abnormality classification from electrocardiograms with various lead combinations

Z Xu, Y Guo, T Zhao, Y Zhao, Z Liu… - Physiological …, 2022 - iopscience.iop.org
Objective. As cardiovascular diseases are a leading cause of death, early and accurate
diagnosis of cardiac abnormalities for a lower cost becomes particularly important. Given …

AHA scientific statement: practice standards for electrocardiographic monitoring in hospital settings: an American Heart Association Scientific Statement from the …

BJ Drew, RM Califf, M Funk, ES Kaufman… - Journal of …, 2005 - journals.lww.com
The goals of electrocardiographic (ECG) monitoring in hospital settings have expanded from
simple heart rate and basic rhythm determination to the diagnosis of complex arrhythmias …