Unsupervised Online Classifier in Sleep Scoring for Sleep Deprivation Studies

STUDY OBJECTIVE: This study was designed to evaluate an unsupervised adaptive algorithm for real-time detection of sleep and wake states in rodents. DESIGN: We designed a Bayesian classifier that automatically extracts electroencephalogram (EEG) and electromyogram (EMG) features and categorizes non-...

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Bibliografiske detaljer
Udgivet i:Sleep
Main Authors: Libourel, Paul-Antoine, Corneyllie, Alexandra, Luppi, Pierre-Hervé, Chouvet, Guy, Gervasoni, Damien
Format: Artigo
Sprog:Inglês
Udgivet: Associated Professional Sleep Societies, LLC 2015
Fag:
Online Classifier in Sleep Scoring for Sleep Deprivation Studies
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4402670/
https://ncbi.nlm.nih.gov/pubmed/25325478
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5665/sleep.4682
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