PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units

Adequate sleep is essential for physical and mental well-being. The quality of sleep is significantly impacted by sleep disorders like narcolepsy, sleep apnea, nocturnal frontal lobe epilepsy, and insomnia. Insomnia is a prevalent sleep disorder characterized by difficulty initiating or maintaining...

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Principais autores:	Hardik Telangore, Heneel Makwana, Prithviraj Verma, Manish Sharma, Hasan S. Mir, U. Rajendra Acharya
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	Convolutional neural network (CNN) deep learning gated recurrent unit (GRU) insomnia photoplethysmogram (PPG)
גישה מקוונת:	https://ieeexplore.ieee.org/document/11124893/
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