Ensemble deep learning: A review
Ensemble learning combines several individual models to obtain better generalization
performance. Currently, deep learning architectures are showing better performance …
performance. Currently, deep learning architectures are showing better performance …
Machine learning-based heart disease diagnosis: A systematic literature review
MM Ahsan, Z Siddique - Artificial Intelligence in Medicine, 2022 - Elsevier
Heart disease is one of the significant challenges in today's world and one of the leading
causes of many deaths worldwide. Recent advancement of machine learning (ML) …
causes of many deaths worldwide. Recent advancement of machine learning (ML) …
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 …
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …
Enhancing ECG-based heart age: impact of acquisition parameters and generalization strategies for varying signal morphologies and corruptions
Electrocardiogram (ECG) is a non-invasive approach to capture the overall electrical activity
produced by the contraction and relaxation of the cardiac muscles. It has been established …
produced by the contraction and relaxation of the cardiac muscles. It has been established …
Classification of cardiac arrhythmia using a convolutional neural network and bi-directional long short-term memory
Cardiac arrhythmia is a leading cause of cardiovascular disease, with a high fatality rate
worldwide. The timely diagnosis of cardiac arrhythmias, determined by irregular and fast …
worldwide. The timely diagnosis of cardiac arrhythmias, determined by irregular and fast …
The prediction of cardiac abnormality and enhancement in minority class accuracy from imbalanced ECG signals using modified deep neural network models
Cardiovascular disease (CVD) is the most fatal disease in the world, so its accurate and
automated detection in the early stages will certainly support the medical expert in timely …
automated detection in the early stages will certainly support the medical expert in timely …
IoT based arrhythmia classification using the enhanced hunt optimization‐based deep learning
The advancement of information technology, the Internet of Things (IoT), and several
miniaturize equipment's enhances the healthcare field that provides real‐time patient …
miniaturize equipment's enhances the healthcare field that provides real‐time patient …
Applying recurrent neural networks for anomaly detection in electrocardiogram sensor data
Monitoring heart electrical activity is an effective way of detecting existing and developing
conditions. This is usually performed as a non-invasive test using a network of up to 12 …
conditions. This is usually performed as a non-invasive test using a network of up to 12 …
[HTML][HTML] Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade
Twelve lead electrocardiogram signals capture unique fingerprints about the body's
biological processes and electrical activity of heart muscles. Machine learning and deep …
biological processes and electrical activity of heart muscles. Machine learning and deep …
Automated detection and localization of myocardial infarction with interpretability analysis based on deep learning
C Han, J Sun, Y Bian, W Que… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electrocardiogram (ECG) is a noninvasive, simplest, and fastest way to diagnose myocardial
infarction (MI). Although different methods have been leveraged based upon deep learning …
infarction (MI). Although different methods have been leveraged based upon deep learning …