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GRU-powered sleep stage classification with permutation-based EEG channel selection

Abstract We present a new approach to classifying the sleep stage that incorporates a computationally inexpensive method based on permutations for channel selection and takes advantage of deep learning power, specifically the gated recurrent unit (GRU) model, along with other deep learning methods....

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Uloženo v:
Hlavní autoři: Luis Alfredo Moctezuma, Yoko Suzuki, Junya Furuki, Marta Molinas, Takashi Abe
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2024-08-01
Edice:Scientific Reports
Témata:
Channel selection
Deep learning
Electroencephalogram (EEG)
Gated recurrent unit (GRU)
Permutation-based channel selection
Sleep
On-line přístup:https://doi.org/10.1038/s41598-024-68978-4
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