ECG-based cardiac arrhythmia classification using fuzzy encoded features and deep neural networks
Cardiac arrhythmia, characterized by an irregular heart rhythm, is a leading cause of sudden and unexpected deaths among patients with cardiovascular diseases. The electrocardiogram (ECG) is a widely utilized non-invasive tool for detecting cardiac arrhythmias. This study investigates the effectiven...
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| Main Authors: | Kiruthika Balakrishnan, Durgadevi Velusamy, Karthikeyan Ramasamy, Lisiane Pruinelli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Biomedical Engineering Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667099225000234 |
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