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Nature and Science of Sleep Volume 7, 2015 - Issue

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Original Research

An automated sleep-state classification algorithm for quantifying sleep timing and sleep-dependent dynamics of electroencephalographic and cerebral metabolic parameters

Michael J Rempe1 Mathematics and Computer Science, Whitworth University, Spokane, WA, USA;2 College of Medical Sciences and Sleep and Performance Research Center, Washington State University, Spokane, WA, USACorrespondence[email protected]

William C Clegern2 College of Medical Sciences and Sleep and Performance Research Center, Washington State University, Spokane, WA, USA

Jonathan P Wisor2 College of Medical Sciences and Sleep and Performance Research Center, Washington State University, Spokane, WA, USA

Pages 85-99 | Published online: 01 Sep 2015

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An automated sleep-state classification algorithm for quantifying sleep timing and sleep-dependent dynamics of electroencephalographic and cerebral metabolic parameters

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An automated sleep-state classification algorithm for quantifying sleep timing and sleep-dependent dynamics of electroencephalographic and cerebral metabolic parameters

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