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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| Main Authors: | , , |
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| Format: | Book |
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IEEE,
2022-01-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |