A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis

A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis

Electrocardiogram (ECG) analysis is crucial for diagnosing cardiovascular diseases (CVD), especially atrial fibrillation (AF), a prevalent cardiac rhythm abnormality. However, the variability and complexity of ECG signals make AF classification challenging, highlighting the need for more accurate an...

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Bibliographic Details
Main Authors: Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
ECG
atrial fibrillation
deep learning
arrhythmias
cardiac
Online Access:https://ieeexplore.ieee.org/document/10993352/
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https://ieeexplore.ieee.org/document/10993352/

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