Utility of complexity analysis in electroencephalography and electromyography for automated classification of sleep-wake states in mice

Utility of complexity analysis in electroencephalography and electromyography for automated classification of sleep-wake states in mice

Abstract We explore an innovative approach to sleep stage analysis by incorporating complexity features into sleep scoring methods for mice. Traditional sleep scoring relies on the power spectral features of electroencephalogram (EEG) and the electromyogram (EMG) amplitude. We introduced a novel met...

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Bibliographic Details
Main Authors: Naoki Furutani, Yuki C. Saito, Yasutaka Niwa, Yu Katsuyama, Yuta Nariya, Mitsuru Kikuchi, Tetsuya Takahashi, Takeshi Sakurai
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-74008-0
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