A comprehensive review of bat inspired algorithm: Variants, applications, and hybridization
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …
dealing with various optimization problems in diverse fields, such as power and energy …
EEG based interpretation of human brain activity during yoga and meditation using machine learning: A systematic review
Objectives The present investigation is to study the impact of yoga and meditation on Brain
waves concerning physical and mental health. There are mainly three stages (steps) in the …
waves concerning physical and mental health. There are mainly three stages (steps) in the …
Classification of myocardial infarction with multi-lead ECG signals and deep CNN
Myocardial infarction (MI), commonly known as heart attack, causes irreversible damage to
heart muscles and even leads to death. Rapid and accurate diagnosis of MI is critical to …
heart muscles and even leads to death. Rapid and accurate diagnosis of MI is critical to …
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 …
A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised‐Supervised Model for Chronic Disease Risk Assessment
Advanced predictive analytics coupled with an effective attribute selection method plays a
pivotal role in the precise assessment of chronic disorder risks in patients. Traditional …
pivotal role in the precise assessment of chronic disorder risks in patients. Traditional …
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
Cardiovascular diseases (CVDs) are main causes of death globally with coronary artery
disease (CAD) being the most important. Timely diagnosis and treatment of CAD is crucial to …
disease (CAD) being the most important. Timely diagnosis and treatment of CAD is crucial to …
Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree …
There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …
and the quality of daily life. The treatment of these disorders is a challenging task for medical …
ML–ResNet: A novel network to detect and locate myocardial infarction using 12 leads ECG
C Han, L Shi - Computer methods and programs in biomedicine, 2020 - Elsevier
Background and objective Myocardial infarction (MI) is one of the most threatening
cardiovascular diseases for human beings, which can be diagnosed by electrocardiogram …
cardiovascular diseases for human beings, which can be diagnosed by electrocardiogram …
From ants to whales: metaheuristics for all tastes
Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …
These algorithms are designed with the idea of emulating some kind natural phenomena …
Detecting and interpreting myocardial infarction using fully convolutional neural networks
N Strodthoff, C Strodthoff - Physiological measurement, 2019 - iopscience.iop.org
Objective: We aim to provide an algorithm for the detection of myocardial infarction that
operates directly on ECG data without any preprocessing and to investigate its decision …
operates directly on ECG data without any preprocessing and to investigate its decision …