Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals

S Patidar, RB Pachori, UR Acharya - Knowledge-based systems, 2015 - Elsevier
Coronary artery disease (CAD) is the narrowing of coronary arteries leading to inadequate
supply of nutrients and oxygen to the heart muscles. Over time, the condition can weaken …

Linear and nonlinear analysis of normal and CAD-affected heart rate signals

UR Acharya, O Faust, V Sree, G Swapna… - Computer methods and …, 2014 - Elsevier
Coronary artery disease (CAD) is one of the dangerous cardiac disease, often may lead to
sudden cardiac death. It is difficult to diagnose CAD by manual inspection of …

Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals

M Kumar, RB Pachori, UR Acharya - Biomedical signal processing and …, 2017 - Elsevier
In the present work, an automated diagnosis of Coronary Artery Disease (CAD) using
Electrocardiogram (ECG) signals is proposed. First, the ECG signals of 40 normal subjects …

Application of higher-order spectra for the characterization of coronary artery disease using electrocardiogram signals

UR Acharya, VK Sudarshan, JEW Koh, RJ Martis… - … Signal Processing and …, 2017 - Elsevier
Abstract Coronary Artery Disease (CAD) is the root cause for chain of catastrophic heart
diseases such as Ischemic Heart Disease (IHD), Myocardial Infarction (MI) or Heart Attack …

1D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signals

E Butun, O Yildirim, M Talo, RS Tan, UR Acharya - Physica Medica, 2020 - Elsevier
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 …

The application of information theory for the research of aging and aging-related diseases

D Blokh, I Stambler - Progress in neurobiology, 2017 - Elsevier
This article reviews the application of information-theoretical analysis, employing measures
of entropy and mutual information, for the study of aging and aging-related diseases. The …

An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals

M Kumar, RB Pachori, UR Acharya - Expert Systems with Applications, 2016 - Elsevier
Abstract Coronary Artery Disease (CAD) causes maximum death among all types of heart
disorders. An early detection of CAD can save many human lives. Therefore, we have …

Automated classification of patients with coronary artery disease using grayscale features from left ventricle echocardiographic images

UR Acharya, SV Sree, MMR Krishnan… - Computer methods and …, 2013 - Elsevier
Abstract Coronary Artery Disease (CAD), caused by the buildup of plaque on the inside of
the coronary arteries, has a high mortality rate. To efficiently detect this condition from …

Automated technique for coronary artery disease characterization and classification using DD-DTDWT in ultrasound images

U Raghavendra, H Fujita, A Gudigar, R Shetty… - … Signal Processing and …, 2018 - Elsevier
Heart is one of the important as well as hardest working organ of human body. Cardiac
ischemia is the condition where sufficient blood and oxygen will not reach the heart muscle …

Joint time-frequency domain-based CAD disease sensing system using ECG signals

RR Sharma, M Kumar, RB Pachori - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
In this paper, the time-frequency matrix-based modified features are proposed. The
proposed features are applied to detect the presence of coronary artery disease (CAD) …