Many sleep EEG databases only include data from adults, resulting in systems developed using these databases struggling to accurately analyze children’s sleep patterns, according to researchers.
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Researchers discovered naps exceeding a specific duration were associated with unfavorable metabolic and cardiovascular outcomes.
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Researchers have uncovered the mechanism behind the surprising increase of blood flow in a sleeping brain, which allows the removal of waste metabolites that can lead to neurological dysfunctions such as dementia.
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The new machine-learning method could help us gauge the time of our internal body clock, helping us decide when and how long to sleep.
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The study also found the device to be more effective in mild to moderate and severe OSA patients compared to traditional oral appliance therapy.
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