XABH-CNN-GRU: Explainable attention-based hybrid CNN-GRU model for accurate identification of common arrhythmias

XABH-CNN-GRU: Explainable attention-based hybrid CNN-GRU model for accurate identification of common arrhythmias

Arrhythmias stand out for having irregular cardiac rhythms, and the fast diagnosis of arrhythmias holds significant clinical importance due to its potential to mitigate adverse health outcomes. Despite the progress in this field, existing research efforts have encountered limitations, necessitating...

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Bibliographic Details
Main Authors: Abduljabbar S. Ba Mahel, Fahad Mushabbab G. Alotaibi, Zenebe Markos Lonseko, Ni-Ni Rao
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-09-01
Series:Journal of Electronic Science and Technology
Subjects:
Arrhythmias
Cardiac
Classification
Deep learning
Electrocardiogram (ECG)
Online Access:http://www.sciencedirect.com/science/article/pii/S1674862X25000230
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