Deep learning for detecting and locating myocardial infarction by electrocardiogram: A literature review
P **ong, SMY Lee, G Chan - Frontiers in cardiovascular medicine, 2022 - frontiersin.org
Myocardial infarction is a common cardiovascular disorder caused by prolonged ischemia,
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …
Deep learning applications in ecg analysis and disease detection: An investigation study of recent advances
U Sumalatha, KK Prakasha, S Prabhu… - IEEE Access, 2024 - ieeexplore.ieee.org
Effective cardiovascular health monitoring relies on precise electrocardiogram (ECG)
analysis for early diagnosis and treatment of heart conditions. Recent advancements in …
analysis for early diagnosis and treatment of heart conditions. Recent advancements in …
[CITATION][C] Development of a software and hardware complex for primary diagnostics based on deep machine learning
R Yaxshiboyev - Central asian journal of education and computer …, 2022 - cajecs.com
This article discusses the development of a software and hardware complex for primary
diagnostics based on deep machine learning. The process of deep machine learning was …
diagnostics based on deep machine learning. The process of deep machine learning was …
Comparative analysis of the results of algorithms for dilated cardiomyopathy and hypertrophic cardiomyopathy using deep learning
In this article, has been developed a convolutional neural network algorithm based on Echo
to automatically classify cardiomyopathy. This algorithm allows to classify dilated (DCM) …
to automatically classify cardiomyopathy. This algorithm allows to classify dilated (DCM) …
Analysis of the process of deep machine learning based on the results obtained for primary diagnostics of gastroenterological diseases
This article discusses the analysis of the process of deep machine learning based on the
results obtained for the primary diagnosis of gastroenterological diseases. The process of …
results obtained for the primary diagnosis of gastroenterological diseases. The process of …
Deep learning algorithm for classifying dilated cardiomyopathy and hypertrophic cardiomyopathy in transport workers
R Nasimov, N Nasimova, K Botirjon… - … Conference on Next …, 2022 - Springer
Automatic classification of the different types of cardiomyopathies is desirable, but has been
done less with a convolutional neural network (CNN). The aim of this study was to evaluate …
done less with a convolutional neural network (CNN). The aim of this study was to evaluate …
Hybrid method for evaluating feature importance for predicting chronic heart diseases
R Nasimov, N Nasimova… - … Conference on Information …, 2022 - ieeexplore.ieee.org
Predicting the impact of different factors on the patient's health is as important as diagnosing
diseases, especially when monitoring patients with chronic diseases. To perform this by …
diseases, especially when monitoring patients with chronic diseases. To perform this by …
Support vector machine deep mining of electronic medical records to predict the prognosis of severe acute myocardial infarction
X Zhou, X Li, Z Zhang, Q Han, H Deng, Y Jiang… - Frontiers in …, 2022 - frontiersin.org
Cardiovascular disease is currently one of the most important diseases causing death in
China and the world, and acute myocardial infarction is a major cause of cardiovascular …
China and the world, and acute myocardial infarction is a major cause of cardiovascular …
[HTML][HTML] Deep learning-based approaches for myocardial infarction detection: A comprehensive review recent advances and emerging challenges
E Radwa, H Ridha, B Faycal - Medicine in Novel Technology and Devices, 2024 - Elsevier
Myocardial infarction (MI) is a severe heart disease requiring immediate and accurate
detection for effective treatment. Deep learning (DL) algorithms have recently shown …
detection for effective treatment. Deep learning (DL) algorithms have recently shown …
Comparative analysis of the results of EMG signal classification based on machine learning algorithms
In this paper has been provided information on the structure, modules and features of the
hardware and software complex for classifying hand movements. The hardware-software …
hardware and software complex for classifying hand movements. The hardware-software …