Cardiac Image Analysis for Accurate Heart Disease Diagnosis Using Deep Learning Techniques: A Comprehensive

SDS Azariya, V Mohanraj, G Jothi… - Soft Computing and …, 2024 - books.google.com
Coronary illness is a leading cause of mortality worldwide. Prompt discovery and precise
forecasts of coronary disease can help in forestalling and dealing with the sickness. Lately …

Automatic heart disease class detection using convolutional neural network architecture‐based various optimizers‐networks

M Fradi, L Khriji, M Machhout, A Hossen - IET Smart Cities, 2021 - Wiley Online Library
Early heart disease class detection is of great interest to reduce the mortality rate. In this
context, computational techniques have been proposed to solve this issue. Thus, here, a …

Abnormal ecg beat detection based on convolutional neural networks

MA Ozdemir, O Guren, OK Cura… - 2020 medical …, 2020 - ieeexplore.ieee.org
The heart is the most critical organ for the sustainability of life. Arrhythmia is any irregularity
of heart rate that causes an abnormality in your heart rhythm. Clinical analysis of …

Heart diseases diagnosis based on a novel convolution neural network and gate recurrent unit technique

AA Ali, HS Hassan, EM Anwar - 2020 12th international …, 2020 - ieeexplore.ieee.org
Actually, one of the leading causes of death is cardiac diseases so medical diagnosis tries to
recommend the most candidate diagnose any kind of cardiac disease. Researchers have …

A lightweight CNN to identify cardiac arrhythmia using 2D ECG images

S El Omary, S Lahrache… - AI Applications for Disease …, 2022 - igi-global.com
Worldwide, cardiac arrhythmia disease has become one of the most frequent heart
problems, leading to death in most cases. In fact, cardiologists use the electrocardiogram …

Developing Deep Learning Model for Abnormal Heartbeat Detection in Electrocardiography Signals

V Ramalakshmi, N Garg… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
The electrocardiogram (ECG) is an essential instrument used by physicians that provides
information about cardiovascular health and is the gold standard for detecting abnormal …

Towards identifying most important leads for ECG classification. A data driven approach employing deep learning

VG Sujadevi, KP Soman - Procedia Computer Science, 2020 - Elsevier
Electrocardiogram (ECG) is a vital tool to determine the structure and function of the heart.
Automated classification of the ECG data helps in earlier diagnosis before the doctor could …

Classification of Electrocardiogram Signal Using Hybrid Deep Learning Techniques

I Garg, SK Pandey, RR Janghel, A Shukla - Machine Learning, Image …, 2023 - Springer
Abstract According to World Health Organization, the main and primary reason for a large
number of deaths globally is Arrhythmia. To reduce the number of deaths globally due to …

A Review on Analysis of Cardiac Arrhythmia from Heart Beat Classification

P Yesudasu, N Revathi, PRLD Prasad… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Cardiac arrhythmias are abnormal heartbeats that might be irregular, excessively rapid, or
too slow. Cardiac arrhythmia occurs when electrical impulses in the heart malfunction. The …

Deep Learning Based Healthcare Method for Effective Heart Disease Prediction

L Kumar, C Anitha, VN Ghodke, N Nithya… - … on Pervasive Health …, 2023 - pure.jgu.edu.in
In many parts of the world, heart disease is the leading cause of mortality diagnosis is critical
Towards Efficient Medical Care and prevention of heart attacks and other cardiac events …