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 …

Deep learning hybrid model ECG classification using AlexNet and parallel dual branch fusion network model

M Kolhar, AM Al Rajeh - Scientific Reports, 2024 - nature.com
Cardiovascular diseases are a cause of death making it crucial to accurately diagnose them.
Electrocardiography plays a role in detecting heart issues such as heart attacks, bundle …

[HTML][HTML] An ensemble based lightweight deep learning model for the prediction of cardiovascular diseases from electrocardiogram images

MN Hasan, MA Hossain, MA Rahman - Engineering Applications of …, 2025 - Elsevier
Cardiovascular Disease (CVD) has become a serious reason of death all over the world.
According to the Australian Institute of Health and Welfare report, CVD was the underlying …

An adaptive Marine Predator Optimization Algorithm (MPOA) integrated Gated Recurrent Neural Network (GRNN) classifier model for arrhythmia detection

R Pashikanti, CY Patil, SA Anirudhe - Biomedical Signal Processing and …, 2024 - Elsevier
Cardiovascular disorders are typically diagnosed using an Electrocardiogram (ECG). It is a
painless method that mimics the cyclical contraction and relaxation of the heart's muscles …

PVCsNet: A Specialized Artificial Intelligence-Based Model to Classify Premature Ventricular Contractions from ECG Images

B Guo, F Gu, Z Zhang, Z Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Premature ventricular complexes (PVCs) are irregularities in heart rhythm where the
ventricles contract earlier than expected, disrupting the normal cardiac cycle. Identifying the …

Cardiac arrhythmia detection from ECG signal using Siamese adversarial neural network

J Digumarthi, VM Gayathri, R Pitchai - Multimedia Tools and Applications, 2024 - Springer
Heart disease is one of the most serious health issues that people faced today. Almost 50
million people worldwide suffer from cardiovascular problems. Electrocardiogram (ECG) …

Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)

QK Abood - Journal of Applied Engineering and Technological …, 2024 - yrpipku.com
Diagnosing heart disease has become a very important topic for researchers specializing in
artificial intelligence, because intelligence is involved in most diseases, especially after the …

Deep Neural Network Framework for Predicting Cardiovascular Diseases from ECG Signals

T Soni, D Gupta, M Uppal, S Juneja… - Recent Advances in …, 2024 - benthamdirect.com
Introduction Cardio Vascular Disease (CVD), a primary cause of death worldwide, includes
a variety of heart-related disorders like heart failure, arrhythmias, and coronary artery …

ECG signal classification using smoothed pseudo wigner-ville distribution

RR Desai, CJ Gaikwad… - 2024 Second International …, 2024 - ieeexplore.ieee.org
The electrocardiogram (ECG) contains the information required for identifying various
cardiovascular diseases or abnormalities. Early identification of abnormalities will be …

An Intelligent HealthCare System Using Blockchain Techniques

J Deepika, J Akilandeswari… - 2023 7th …, 2023 - ieeexplore.ieee.org
Blockchain is the significant cutting-edge technology and inventive advances currently with
an important function in the professional world. The exponential growth of blockchain …