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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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| 出版年: | Sleep |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Associated Professional Sleep Societies, LLC
2015
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| 主題: | |
| オンライン・アクセス: | 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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