Electrocardiogram Signals Classification Using Deep-Learning-Based Incorporated Convolutional Neural Network and Long Short-Term Memory Framework
A Eleyan, E Alboghbaish - Computers, 2024 - mdpi.com
Cardiovascular diseases (CVDs) like arrhythmia and heart failure remain the world's leading
cause of death. These conditions can be triggered by high blood pressure, diabetes, and …
cause of death. These conditions can be triggered by high blood pressure, diabetes, and …
Multi-Classifier Deep Learning based System for ECG Classification Using Fourier Transform
A Eleyan, E Alboghbaish - 2023 5th International Conference …, 2023 - ieeexplore.ieee.org
The threat of heart disease has increased throughout history due to the difficulty of
diagnosing it and the need for experienced doctors. Heart disease can be caused by various …
diagnosing it and the need for experienced doctors. Heart disease can be caused by various …
[PDF][PDF] Neutrosophic Adaptive LSB and Deep Learning Hybrid Framework for ECG Signal Classification
AS Sakr, HM Abdulkader, A Rezk - Appl. Math, 2023 - naturalspublishing.com
This paper proposes a novel hybrid framework for ECG signal classification and privacy
preservation. The framework includes two phases: the first phase uses LSTM+ CNN with …
preservation. The framework includes two phases: the first phase uses LSTM+ CNN with …
[PDF][PDF] ECG SIGNAL CLASSIFICATION USING TUNING TECHNIQUES BASED STACK OF NEURAL NETWORKS
N TATA BALAJI, GVH PRASAD - Journal of Theoretical and Applied …, 2023 - jatit.org
Daily cardiac health monitoring can benefit from the automatic identification of irregular heart
rhythms from electrocardiogram (ECG) signal. A vibrant ECG signal is used to detect cardiac …
rhythms from electrocardiogram (ECG) signal. A vibrant ECG signal is used to detect cardiac …
[引用][C] RETRACTED: Analysis of Electrocardiogram Signals Using Fourier Decomposed Method Based on Deep Learning
M Azmy - 2022 - researchsquare.com
ECG is used to measure the electrical activity of the heart. In this paper, ECG is classified
into normal and Atrial Fibrillation AF patients using fourier decomposition method FDM to …
into normal and Atrial Fibrillation AF patients using fourier decomposition method FDM to …