Entropies for automated detection of coronary artery disease using ECG signals: A review
Coronary artery disease (CAD) develops when coronary arteries are unable to supply
oxygen-rich blood to the heart due to the accumulation of cholesterol plaque on the inner …
oxygen-rich blood to the heart due to the accumulation of cholesterol plaque on the inner …
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 …
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals
Congestive heart failure (CHF) is a chronic heart condition associated with debilitating
symptoms that result in increased mortality, morbidity, healthcare expenditure and …
symptoms that result in increased mortality, morbidity, healthcare expenditure and …
A Review of Methods and Applications for a Heart Rate Variability Analysis
Heart rate variability (HRV) has emerged as an essential non-invasive tool for
understanding cardiac autonomic function over the last few decades. This can be attributed …
understanding cardiac autonomic function over the last few decades. This can be attributed …
An automated skin melanoma detection system with melanoma-index based on entropy features
Skin melanoma is a potentially life-threatening cancer. Once it has metastasized, it may
cause severe disability and death. Therefore, early diagnosis is important to improve the …
cause severe disability and death. Therefore, early diagnosis is important to improve the …
Multi-stage classification of congestive heart failure based on short-term heart rate variability
In this study, we propose an automatic system to diagnose congestive heart failure using
short-term heart rate variability analysis. The system involves a multi-stage classifier. The …
short-term heart rate variability analysis. The system involves a multi-stage classifier. The …
1D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signals
Purpose Cardiovascular disease (CVD) is a leading cause of death globally.
Electrocardiogram (ECG), which records the electrical activity of the heart, has been used for …
Electrocardiogram (ECG), which records the electrical activity of the heart, has been used for …
Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals
UR Acharya, VK Sudarshan, SQ Rong, Z Tan… - Computers in biology …, 2017 - Elsevier
An accurate detection of preterm labor and the risk of preterm delivery before 37 weeks of
gestational age is crucial to increase the chance of survival rate for both mother and the …
gestational age is crucial to increase the chance of survival rate for both mother and the …
Highly sensitive and stretchable piezoelectric strain sensor enabled wearable devices for real-time monitoring of respiratory and heartbeat simultaneously
Z Ji, M Zhang - Nanotechnology and Precision Engineering (NPE), 2022 - pubs.aip.org
The World Health Organization has declared COVID-19 a pandemic. The demand for
devices or systems to diagnose and track COVID-19 infections noninvasively not only in …
devices or systems to diagnose and track COVID-19 infections noninvasively not only in …
Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of …
Undiagnosed coronary artery disease (CAD) progresses rapidly and leads to myocardial
infarction (MI) by reducing the blood flow to the cardiac muscles. Timely diagnosis of MI and …
infarction (MI) by reducing the blood flow to the cardiac muscles. Timely diagnosis of MI and …