Sleep in patients with disorders of consciousness characterized by means of machine learning.

Sleep in patients with disorders of consciousness characterized by means of machine learning.

Sleep has been proposed to indicate preserved residual brain functioning in patients suffering from disorders of consciousness (DOC) after awakening from coma. However, a reliable characterization of sleep patterns in this clinical population continues to be challenging given severely altered brain...

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Bibliographic Details
Main Authors: Tomasz Wielek, Julia Lechinger, Malgorzata Wislowska, Christine Blume, Peter Ott, Stefan Wegenkittl, Renata Del Giudice, Dominik P J Heib, Helmut A Mayer, Steven Laureys, Gerald Pichler, Manuel Schabus
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5749793?pdf=render

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http://europepmc.org/articles/PMC5749793?pdf=render

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