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A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects

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The article was published on 1968-01-01 and is currently open access. It has received 11993 citations till now. The article focuses on the topics: Sleep Stages & Hypnogram.

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Prevalence and polysomnographic correlates of insomnia comorbid with medical disorders.

TL;DR: This large population-based study suggests that insomnia is highly prevalent in diverse chronic medical disorders, however, polysomnographic evidence of disturbed sleep is present in only a subset of comorbid insomnia populations.
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Insomnia in central Pennsylvania.

TL;DR: The findings support the conclusion that mental health variables have the primary independent association with a complaint of insomnia, and other factors including minorities and hypertension are also independently associated, though to a lesser degree.
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Sleep scoring using artificial neural networks

TL;DR: Using ANN for automatic sleep scoring is especially promising because of new ANN learning algorithms allowing faster classification without decreasing the performance.
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Implicit learning-explicit knowing: A role for sleep in memory system interaction

TL;DR: The results indicate a selective enhancement of explicit memory formation during sleep, which point to an interaction between implicit and explicit memory systems during sleep-dependent off-line learning.
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A preliminary study of the effects of correction of anemia with recombinant human erythropoietin therapy on sleep, sleep disorders, and daytime sleepiness in hemodialysis patients (The SLEEPO study)

TL;DR: RHuEPO therapy with full correction of anemia reduces PLMS, arousals from sleep, and sleep fragmentation while allowing for more restorative sleep and improved daytime alertness, which may explain one mechanism for the improved quality-of-life parameters reported in ESRD patients treated with rHuEPO.
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