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Supervised and unsupervised machine learning for automated scoring of sleep–wake and cataplexy in a mouse model of narcolepsy
Despite commercial availability of software to facilitate sleep–wake scoring of electroencephalography (EEG) and electromyography (EMG) in animals, automated scoring of rodent models of abnormal sleep, such as narcolepsy with cataplexy, has remained elusive. We optimize two machine-learning approach...
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| Published in: | Sleep |
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| Main Authors: | , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7215268/ https://ncbi.nlm.nih.gov/pubmed/31693157 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/sleep/zsz272 |
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