Real-time, automatic, open-source sleep stage classification system using single EEG for mice

Abstract We developed a real-time sleep stage classification system with a convolutional neural network using only a one-channel electro-encephalogram source from mice and universally available features in any time-series data: raw signal, spectrum, and zeitgeber time. To accommodate historical info...

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Auteurs principaux: Taro Tezuka, Deependra Kumar, Sima Singh, Iyo Koyanagi, Toshie Naoi, Masanori Sakaguchi
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/32e217a2d3eb4aa5aa44105bcfdee058
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