Knowledge-based Identification of Sleep Stages based on Two Forehead Electroencephalogram Channels

Knowledge-based Identification of Sleep Stages based on Two Forehead Electroencephalogram Channels

Sleep quality is important, especially given the considerable number of sleep-related pathologies. The distribution of sleep stages is a highly effective and objective way of quantifying sleep quality. As a standard multi-channel recording used in the study of sleep, polysomnography (PSG) is a widel...

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Bibliographic Details
Main Authors: Chih-Sheng eHuang, Chun-Ling eLin, Li-Wei eKo, Shen-Yi eLiu, Tung-Ping eSu, Chin-Teng eLin
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-09-01
Series:Frontiers in Neuroscience
Subjects:
Sleep Stages
electroencephalogram (EEG)
sleep quality
sleep stage classification system
polysomnography (PSG)
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00263/full

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http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00263/full

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