AIMC Topic: Arrhythmias, Cardiac

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Detection of arrhythmia in 12-lead varied-length ECG using multi-branch signal fusion network.

Physiological measurement Oct 31, 2022
Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early prevention and diagnosis of cardiovascular diseases. With the increase in widely available digital ECG data and the development of deep learning, multi-...
Humans Neural Networks, Computer Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Algorithms Diagnosis, Computer-Assisted
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A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks.

Computers in biology and medicine Sep 21, 2022
As the number of people suffering from cardiovascular diseases increases every year, it becomes essential to have an accurate automatic electrocardiogram (ECG) diagnosis system. Researchers have adopted different methods, such as deep learning, to in...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Arrhythmias, Cardiac Algorithms Electrocardiography
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Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images.

Computational and mathematical methods in medicine Sep 12, 2022
The level of patient's illness is determined by diagnosing the problem through different methods like physically examining patients, lab test data, and history of patient and by experience. To treat the patient, proper diagnosis is very much importan...
Electrocardiography Support Vector Machine Bayes Theorem Arrhythmias, Cardiac Algorithms Humans Deep Learning Machine Learning
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Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation.

Physiological measurement Sep 9, 2022
We describe an automatic classifier of arrhythmias based on 12-lead and reduced-lead electrocardiograms. Our classifier comprises four modules: scattering transform (ST), phase harmonic correlation (PHC), depthwise separable convolutions (DSC), and a...
Humans Algorithms Arrhythmias, Cardiac Neural Networks, Computer Electrocardiography Heart Rate
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A Deep Neural Network Ensemble Classifier with Focal Loss for Automatic Arrhythmia Classification.

Journal of healthcare engineering Sep 9, 2022
Automated electrocardiogram classification techniques play an important role in assisting physicians in diagnosing arrhythmia. Among these, the automatic classification of single-lead heartbeats has received wider attention due to the urgent need for...
Algorithms Electrocardiography Humans Neural Networks, Computer Arrhythmias, Cardiac Heart Rate
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Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model.

Sensors (Basel, Switzerland) Aug 29, 2022
An electrocardiogram (ECG) is an essential piece of medical equipment that helps diagnose various heart-related conditions in patients. An automated diagnostic tool is required to detect significant episodes in long-term ECG records. It is a very cha...
Humans Algorithms Deep Learning Electrocardiography Arrhythmias, Cardiac Signal Processing, Computer-Assisted Myocardial Infarction
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Developing Graph Convolutional Networks and Mutual Information for Arrhythmic Diagnosis Based on Multichannel ECG Signals.

International journal of environmental research and public health Aug 28, 2022
Cardiovascular diseases, like arrhythmia, as the leading causes of death in the world, can be automatically diagnosed using an electrocardiogram (ECG). The ECG-based diagnostic has notably resulted in reducing human errors. The main aim of this study...
Electrocardiography Arrhythmias, Cardiac Neural Networks, Computer Algorithms Databases, Factual Cardiovascular Diseases Humans
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A review of arrhythmia detection based on electrocardiogram with artificial intelligence.

Expert review of medical devices Aug 25, 2022
INTRODUCTION: With the widespread availability of portable electrocardiogram (ECG) devices, there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia mainly relies on the rules of medical knowledge, which are insuffic...
Humans Arrhythmias, Cardiac Algorithms Artificial Intelligence Heart Rate Electrocardiography
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Visualization deep learning model for automatic arrhythmias classification.

Physiological measurement Aug 12, 2022
With the improvement of living standards, heart disease has become one of the common diseases that threaten human health. Electrocardiography (ECG) is an effective way of diagnosing cardiovascular diseases. With the rapid growth of ECG examinations a...
Arrhythmias, Cardiac Algorithms Deep Learning Electrocardiography Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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Multi-Scale Convolutional Neural Network Ensemble for Multi-Class Arrhythmia Classification.

IEEE journal of biomedical and health informatics Aug 11, 2022
The automated analysis of electrocardiogram (ECG) signals plays a crucial role in the early diagnosis and management of cardiac arrhythmias. The diverse etiology of arrhythmia and the subtle variations in the pathological ECG characteristics pose cha...
Neural Networks, Computer Algorithms Humans Electrocardiography Arrhythmias, Cardiac
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