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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Publicat a:Sleep
Autors principals: Exarchos, Ioannis, Rogers, Anna A, Aiani, Lauren M, Gross, Robert E, Clifford, Gari D, Pedersen, Nigel P, Willie, Jon T
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2019
Matèries:
Basic Science of Sleep and Circadian Rhythms
Accés en línia: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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