Classification and transfer learning of sleep spindles based on convolutional neural networks

• Published in: Frontiers in neuroscience Vol. 18; p. 1396917
• Main Authors: Liang, Jun, Belkacem, Abdelkader Nasreddine, Song, Yanxin, Wang, Jiaxin, Ai, Zhiguo, Wang, Xuanqi, Guo, Jun, Fan, Lingfeng, Wang, Changming, Ji, Bowen, Wang, Zengguang
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 24.04.2024
• Subjects: convolutional neural network; electroencephalogram; Neuroscience; polysomnography; sleep spindles; transfer learning; transfer learning; sleep spindles; polysomnography; convolutional neural network; electroencephalogram

Sleep plays a critical role in human physiological and psychological health, and electroencephalography (EEG), an effective sleep-monitoring method, is of great importance in revealing sleep characteristics and aiding the diagnosis of sleep disorders. Sleep spindles, which are a typical phenomenon i...