Multi-Sensor Wearable-Based Sleep Stage Classification Using Federated Learning for Enhanced Privacy
Sleep is an essential aspect of human health, and Obstructive Sleep Apnea (OSA) is a serious condition that is frequently unidentified because traditional Polysomnography (PSG) is costly and available only to a small number of patients. To address these limitations, this study develops and implement...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2025-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11153839/ |
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