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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Detalhes bibliográficos
Publicado no:Sleep
Main Authors: Exarchos, Ioannis, Rogers, Anna A, Aiani, Lauren M, Gross, Robert E, Clifford, Gari D, Pedersen, Nigel P, Willie, Jon T
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Basic Science of Sleep and Circadian Rhythms
Acesso em linha: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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