Automated detection of myocardial infarction and heart conduction disorders based on feature selection and a deep learning model

M Hammad, SA Chelloug, R Alkanhel, AJ Prakash… - Sensors, 2022 - mdpi.com
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose
various heart-related conditions in patients. An automated diagnostic tool is required to …

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan… - Information …, 2017 - Elsevier
The electrocardiogram (ECG) is a useful diagnostic tool to diagnose various cardiovascular
diseases (CVDs) such as myocardial infarction (MI). The ECG records the heart's electrical …

Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities

A Alghamdi, M Hammad, H Ugail… - Multimedia tools and …, 2020 - Springer
One of the common cardiac disorders is a cardiac attack called Myocardial infarction (MI),
which occurs due to the blockage of one or more coronary arteries. Timely treatment of MI is …

A comparative study of myocardial infarction detection from ECG data using machine learning

A Chakraborty, S Chatterjee, K Majumder… - … : Proceedings of ICACIT …, 2022 - Springer
Myocardial Infarction (MI) is a life-threatening heart disease, timely medical intervention of
which can reduce the mortality rate. It can be detected from Electrocardiogram or ECG …

Classification of myocardial infarction with multi-lead ECG signals and deep CNN

UB Baloglu, M Talo, O Yildirim, R San Tan… - Pattern recognition …, 2019 - Elsevier
Myocardial infarction (MI), commonly known as heart attack, causes irreversible damage to
heart muscles and even leads to death. Rapid and accurate diagnosis of MI is critical to …

Comprehensive electrocardiographic diagnosis based on deep learning

OS Lih, V Jahmunah, TR San, EJ Ciaccio… - Artificial intelligence in …, 2020 - Elsevier
Cardiovascular disease (CVD) is the leading cause of death worldwide, and coronary artery
disease (CAD) is a major contributor. Early-stage CAD can progress if undiagnosed and left …

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

JH Tan, Y Hagiwara, W Pang, I Lim, SL Oh… - Computers in biology …, 2018 - Elsevier
Coronary artery disease (CAD) is the most common cause of heart disease globally. This is
because there is no symptom exhibited in its initial phase until the disease progresses to an …

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals

V Jahmunah, EYK Ng, RS Tan, SL Oh… - Computers in Biology …, 2022 - Elsevier
Myocardial infarction (MI) accounts for a high number of deaths globally. In acute MI,
accurate electrocardiography (ECG) is important for timely diagnosis and intervention in the …

Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network

UR Acharya, H Fujita, OS Lih, Y Hagiwara, JH Tan… - Information …, 2017 - Elsevier
Our cardiovascular system weakens and is more prone to arrhythmia as we age. An
arrhythmia is an abnormal heartbeat rhythm which can be life-threatening. Atrial fibrillation …

[HTML][HTML] Detection and localization of myocardial infarction based on multi-scale resnet and attention mechanism

Y Cao, W Liu, S Zhang, L Xu, B Zhu, H Cui… - Frontiers in …, 2022 - frontiersin.org
Purpose Myocardial infarction (MI) is one of the most common cardiovascular diseases,
frequently resulting in death. Early and accurate diagnosis is therefore important, and the …