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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Үндсэн зохиолчид:	Asad Ali, Huang Jianjun, Ayesha Jabbar, Muhammad Kashif Jabbar
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Federated learning sleep stage classification wearable devices privacy-preserving multi-sensor integration
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11153839/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!