Deep learning for detecting and locating myocardial infarction by electrocardiogram: A literature review

P Xiong, SMY Lee, G Chan - Frontiers in cardiovascular medicine, 2022 - frontiersin.org
Myocardial infarction is a common cardiovascular disorder caused by prolonged ischemia,
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …

A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram

N Musa, AY Gital, N Aljojo, H Chiroma… - Journal of ambient …, 2023 - Springer
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

ECG heartbeat classification using multimodal fusion

Z Ahmad, A Tabassum, L Guan, NM Khan - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical
cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current …

Myocardial infarction severity stages classification from ECG signals using attentional recurrent neural network

E Prabhakararao, S Dandapat - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Myocardial infarction (MI) is a lethal heart condition that occurs due to the lack of blood flow
to the heart tissues. Based on the time from symptoms onset, it is categorized into three …

ML-Net: Multi-channel lightweight network for detecting myocardial infarction

Y Cao, T Wei, B Zhang, N Lin… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Due to the complexity of myocardial infarction (MI) waveform, most traditional automatic
diagnosis models rarely detect it, while those able to detect MI often require high computing …

ECG beat classifiers: A journey from ANN to DNN

SK Dhull, KK Singh - Procedia Computer Science, 2020 - Elsevier
Automatic electrocardiogram beat classification is a prevalent field of research among the
biomedical and computer science researchers. In the last decade, the research has seen a …

Detection of myocardial infarction using spectral textures through ecg

S Aziz, MU Khan, K Iqtidar, S Sharma… - … and digital systems …, 2023 - ieeexplore.ieee.org
Myocardial infarction (MI), commonly known as a heart attack, can cause nonrecoverable
impairment to the cardiac muscles, which may even result in fatality. Therefore, it is crucial to …

Designing Very Fast and Accurate Convolutional Neural Networks With Application in ICD and Smart Electrocardiograph Devices

A Keyanfar, R Ghaderi, S Nazari, B Hajimoradi… - IEEE …, 2023 - ieeexplore.ieee.org
An implantable cardioverter-defibrillator (ICD) is a device that must detect VT and VF
arrhythmias on time and treat them. In this project, three CNN networks are designed to …

[HTML][HTML] Deep learning-based approaches for myocardial infarction detection: a comprehensive review recent advances and emerging challenges

E Radwa, H Ridha, B Faycal - Medicine in Novel Technology and Devices, 2024 - Elsevier
Myocardial infarction (MI) is a severe heart disease requiring immediate and accurate
detection for effective treatment. Deep learning (DL) algorithms have recently shown …

Analysis of Cardiovascular Arrhythmia Prediction Using Different Machine Learning Models

N Keerthana, A Kumar, S Veena - 2023 6th International …, 2023 - ieeexplore.ieee.org
Cardiac arrhythmia are aggravations in the pattern of heart, brought about by anomaly or
strange quick or slow pulses. The scope of cardiovascular arrhythmias incorporates …