Deep learning for healthcare applications based on physiological signals: A review
Background and objective: We have cast the net into the ocean of knowledge to retrieve the
latest scientific research on deep learning methods for physiological signals. We found 53 …
latest scientific research on deep learning methods for physiological signals. We found 53 …
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
A deep convolutional neural network model to classify heartbeats
The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart.
Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a …
Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a …
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
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 …
diseases (CVDs) such as myocardial infarction (MI). The ECG records the heart's electrical …
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 …
Decision tree-based diagnosis of coronary artery disease: CART model
Abstract Background and Objective As the most common cardiovascular defect, coronary
artery disease (CAD), also called ischemic heart disease, is one of the substantial causes of …
artery disease (CAD), also called ischemic heart disease, is one of the substantial causes of …
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm
Z Arabasadi, R Alizadehsani, M Roshanzamir… - Computer methods and …, 2017 - Elsevier
Cardiovascular disease is one of the most rampant causes of death around the world and
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in …
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in …
Comprehensive electrocardiographic diagnosis based on deep learning
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 …
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
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 …
because there is no symptom exhibited in its initial phase until the disease progresses to an …
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network
Coronary artery disease (CAD) is caused due by the blockage of inner walls of coronary
arteries by plaque. This constriction reduces the blood flow to the heart muscles resulting in …
arteries by plaque. This constriction reduces the blood flow to the heart muscles resulting in …