SleepFCN: A Fully Convolutional Deep Learning Framework for Sleep Stage Classification Using Single-Channel Electroencephalograms

Sleep is a vital process of our daily life as we roughly spend one-third of our lives asleep. In order to evaluate sleep quality and potential sleep disorders, sleep stage classification is a gold standard method. In this paper, we introduce a novel fully convolutional neural network architecture (S...

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Principais autores: Narjes Goshtasbi (Autor), Reza Boostani (Autor), Saeid Sanei (Autor)
Formato: Livro
Publicado em: IEEE, 2022-01-01T00:00:00Z.
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