Stages-based ECG signal analysis from traditional signal processing to machine learning approaches: A survey
M Wasimuddin, K Elleithy, AS Abuzneid… - IEEE …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) gives essential information about different cardiac conditions of
the human heart. Its analysis has been the main objective among the research community to …
the human heart. Its analysis has been the main objective among the research community to …
[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals
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 …
accurate electrocardiography (ECG) is important for timely diagnosis and intervention in the …
Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data
HM Rai, K Chatterjee - Applied Intelligence, 2022 - Springer
Automatic and accurate prognosis of myocardial infarction (MI) using electrocardiogram
(ECG) signals is a challenging task for the diagnosis and treatment of heart diseases. MI is …
(ECG) signals is a challenging task for the diagnosis and treatment of heart diseases. MI is …
Myocardial infarction detection based on deep neural network on imbalanced data
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 …
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
[HTML][HTML] 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 …
Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review
B Rusanov, GM Hassan, M Reynolds, M Sabet… - Medical …, 2022 - Wiley Online Library
The use of deep learning (DL) to improve cone‐beam CT (CBCT) image quality has gained
popularity as computational resources and algorithmic sophistication have advanced in …
popularity as computational resources and algorithmic sophistication have advanced in …
An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
VA Ardeti, VR Kolluru, GT Varghese… - Expert Systems with …, 2023 - Elsevier
Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
Automated localization and severity period prediction of myocardial infarction with clinical interpretability based on deep learning and knowledge graph
C Han, S Pan, W Que, Z Wang, Y Zhai, L Shi - Expert Systems with …, 2022 - Elsevier
This paper presented an interpretable method for myocardial infarction (MI) localization and
severity period prediction using 12-leads electrocardiograms (ECG) based on deep learning …
severity period prediction using 12-leads electrocardiograms (ECG) based on deep learning …