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 …
[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis
For the past two decades, most of the people from developing countries are suffering from
heart disease. Diagnosing these diseases at earlier stages helps patients reduce the risk of …
heart disease. Diagnosing these diseases at earlier stages helps patients reduce the risk of …
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization
The Electrocardiogram (ECG) arrhythmia classification has become an interesting research
area for researchers and developers as it plays a vital role in early prevention and diagnosis …
area for researchers and developers as it plays a vital role in early prevention and diagnosis …
Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system
P Pławiak - Expert Systems with Applications, 2018 - Elsevier
This article presents an innovative research methodology that enables the efficient
classification of cardiac disorders (17 classes) based on ECG signal analysis and an …
classification of cardiac disorders (17 classes) based on ECG signal analysis and an …
Computational diagnostic techniques for electrocardiogram signal analysis
Cardiovascular diseases (CVDs), including asymptomatic myocardial ischemia, angina,
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
Detection of abnormal heart conditions based on characteristics of ECG signals
Heart diseases are one of the most important death causes across the globe. Therefore,
early detection of heart diseases is crucial to reduce the rising death rate. Electrocardiogram …
early detection of heart diseases is crucial to reduce the rising death rate. Electrocardiogram …
Empirical analysis of machine learning algorithms on imbalance electrocardiogram based arrhythmia dataset for heart disease detection
Living beings are subjected to many hazards during their course of life. Owing to high
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
Disease diagnosis in smart healthcare: Innovation, technologies and applications
KT Chui, W Alhalabi, SSH Pang, PO Pablos, RW Liu… - Sustainability, 2017 - mdpi.com
To promote sustainable development, the smart city implies a global vision that merges
artificial intelligence, big data, decision making, information and communication technology …
artificial intelligence, big data, decision making, information and communication technology …
A novel technique for cardiac arrhythmia classification using spectral correlation and support vector machines
Cardiac disorders are one of the main causes leading to death. Therefore, they require
continuous and efficient detection techniques. ECG is one of the main tools to diagnose …
continuous and efficient detection techniques. ECG is one of the main tools to diagnose …