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 …

Myocardial infarction detection based on deep neural network on imbalanced data

M Hammad, MH Alkinani, BB Gupta, AA Abd El-Latif - Multimedia Systems, 2022 - Springer
Myocardial infarction (MI) is an acute interruption of blood flow to the heart, which causes the
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …

Application of artificial intelligence techniques for automated detection of myocardial infarction: a review

JH Joloudari, S Mojrian, I Nodehi… - Physiological …, 2022 - iopscience.iop.org
Objective. Myocardial infarction (MI) results in heart muscle injury due to receiving
insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly …

A lightweight model for bearing fault diagnosis based on gramian angular field and coordinate attention

J Cui, Q Zhong, S Zheng, L Peng, J Wen - Machines, 2022 - mdpi.com
The key to ensuring rotating machinery's safe and reliable operation is efficient and accurate
faults diagnosis. Intelligent fault diagnosis technology based on deep learning (DL) has …

MCA-net: A multi-task channel attention network for Myocardial infarction detection and location using 12-lead ECGs

W Pan, Y An, Y Guan, J Wang - Computers in Biology and Medicine, 2022 - Elsevier
Problem: Myocardial infarction (MI) is a classic cardiovascular disease (CVD) that requires
prompt diagnosis. However, due to the complexity of its pathology, it is difficult for …

Patient specific higher order tensor based approach for the detection and localization of myocardial infarction using 12-lead ECG

C Chauhan, RK Tripathy, M Agrawal - Biomedical Signal Processing and …, 2023 - Elsevier
Myocardial Infarction (MI) is an emergency condition that requires immediate medical
treatment. The rapid and accurate diagnosis of MI using a 12-lead electrocardiogram (ECG) …

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals

PD Barua, E Aydemir, S Dogan, MA Kobat… - International Journal of …, 2023 - Springer
Myocardial infarction (MI) is detected using electrocardiography (ECG) signals. Machine
learning (ML) models have been used for automated MI detection on ECG signals. Deep …

Classification of image encoded SSVEP-based EEG signals using Convolutional Neural Networks

PO De Paula, TB da Silva Costa… - Expert Systems with …, 2023 - Elsevier
Abstract Brain–Computer Interfaces (BCI) systems based on electroencephalography (EEG)
signals are experiencing a rapid development, counting with a number of methods, mainly …

Power system event classification and localization using a convolutional neural network

H Ren, ZJ Hou, B Vyakaranam, H Wang… - Frontiers in Energy …, 2020 - frontiersin.org
Detection and timely identification of power system disturbances are essential for situation
awareness and reliable electricity grid operation. Because records of actual events in the …

Gramian angular fields for leveraging pretrained computer vision models with anomalous diffusion trajectories

Ò Garibo-i-Orts, N Firbas, L Sebastiá, JA Conejero - Physical Review E, 2023 - APS
Anomalous diffusion is present at all scales, from atomic to large ones. Some exemplary
systems are ultracold atoms, telomeres in the nucleus of cells, moisture transport in cement …