A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
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 …
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 …
Cross-subject emotion recognition using flexible analytic wavelet transform from EEG signals
V Gupta, MD Chopda, RB Pachori - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Human emotion is a physical or psychological process which is triggered either consciously
or unconsciously due to perception of any object or situation. The electroencephalogram …
or unconsciously due to perception of any object or situation. The electroencephalogram …
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 …
Classifying cardiac arrhythmia from ECG signal using 1D CNN deep learning model
Blood circulation depends critically on electrical activation, where any disturbance in the
orderly pattern of the heart's propagating wave of excitation can lead to arrhythmias …
orderly pattern of the heart's propagating wave of excitation can lead to arrhythmias …
[图书][B] Time-frequency analysis techniques and their applications
RB Pachori - 2023 - taylorfrancis.com
Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …
include biomedical signals, communication signals, speech, earthquake signals, vibration …