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 …

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 …

[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 …

Comparative analysis of the results of algorithms for dilated cardiomyopathy and hypertrophic cardiomyopathy using deep learning

N Nasimova, B Muminov, R Nasimov… - 2021 International …, 2021 - ieeexplore.ieee.org
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) …

Analysis of the process of deep machine learning based on the results obtained for primary diagnostics of gastroenterological diseases

R Yaxshiboyev, B Muminov, E Ermetov… - Central Asian Journal …, 2022 - mail.journals.tma.uz
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 …

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 …

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 …

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 …

[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 …

Comparative analysis of the results of EMG signal classification based on machine learning algorithms

A Turgunov, K Zohirov, R Nasimov… - 2021 International …, 2021 - ieeexplore.ieee.org
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 …