A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction

N Faruk, A Abdulkarim, I Emmanuel… - biocybernetics and …, 2021 - Elsevier
Availability of low-cost, reliable, and portable Electrocardiography (ECG) devices is still very
important in the medical world today. Despite the tremendous technological advancement …

Automation bias in medicine: the influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms

RR Bond, T Novotny, I Andrsova, L Koc… - Journal of …, 2018 - Elsevier
Introduction Interpretation of the 12‑lead Electrocardiogram (ECG) is normally assisted with
an automated diagnosis (AD), which can facilitate an 'automation bias' where interpreters …

Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions

KS Adewole, HA Mojeed, JA Ogunmodede… - Applied Sciences, 2022 - mdpi.com
Electrocardiography (ECG) is one of the most widely used recordings in clinical medicine.
ECG deals with the recording of electrical activity that is generated by the heart through the …

Impact of mobile device-based clinical decision support tool on guideline adherence and mental workload

KM Richardson, SD Fouquet, E Kerns, RJ McCulloh - Academic pediatrics, 2019 - Elsevier
Objective To evaluate the individual-level impact of an electronic clinical decision support
(ECDS) tool, PedsGuide, on febrile infant clinical decision making and cognitive load …

Machine learning with electrocardiograms: a call for guidelines and best practices for 'stress testing'algorithms

R Bond, D Finlay, SS Al-Zaiti, P Macfarlane - Journal of Electrocardiology, 2021 - Elsevier
This paper provides a brief description of how computer programs are used to automatically
interpret electrocardiograms (ECGs), and also provides a discussion regarding new …

Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and …

MB Terzi, O Arikan - Biomedical Engineering/Biomedizinische …, 2024 - degruyter.com
Abstract Objectives Coronary artery diseases (CADs) are the leading cause of death
worldwide and early diagnosis is crucial for timely treatment. To address this, our study …

[HTML][HTML] A study of the clinical application value of ultrasound and electrocardiogram in the differential diagnosis of cardiomyopathy

Y Zhao, S Lin, J Wu, J Lai, L Li - American journal of translational …, 2021 - ncbi.nlm.nih.gov
Objective: To investigate the clinical application values of electrocardiogram (ECG)
combined with ultrasound cardiogram (UCG) in the differential diagnosis of cardiomyopathy …

SPICED-ACS: Study of the potential impact of a computer-generated ECG diagnostic algorithmic certainty index in STEMI diagnosis: Towards transparent AI

CR Knoery, R Bond, A Iftikhar, K Rjoob… - Journal of …, 2019 - Elsevier
Background Computerised electrocardiogram (ECG) interpretation diagnostic algorithms
have been developed to guide clinical decisions like with ST segment elevation myocardial …

A Convolutional Autoencoder Framework for ECG signal Analysis

U Lomoio, P Vizza, R Giancotti, S Petrolo, S Flesca… - Heliyon, 2025 - cell.com
Electrocardiographic (ECG) signals are used to evaluate heart activity and to identify
disease-related anomalies. Reliable support systems are useful for analyzing ECG signals …

Zinc-induced activation of GPR39 regulates glucose homeostasis through glucose-dependent insulinotropic polypeptide secretion from enteroendocrine K-cells

BM Moran, MG Miskelly, YHA Abdel-Wahab… - Biological …, 2019 - degruyter.com
The role of Zn2+-sensing receptor GPR39 on glucose homeostasis and incretin regulation
was assessed in enteroendocrine L-and K-cells. Anti-hyperglycaemic, insulinotropic and …