Automatic sleep/wake identification from wrist activity.

  title={Automatic sleep/wake identification from wrist activity.},
  author={Roger J. Cole and Daniel F. Kripke and William Gruen and Daniel J. Mullaney and J. Christian Gillin},
  volume={15 5},
The purpose of this study was to develop and validate automatic scoring methods to distinguish sleep from wakefulness based on wrist activity. Forty-one subjects (18 normals and 23 with sleep or psychiatric disorders) wore a wrist actigraph during overnight polysomnography. In a randomly selected subsample of 20 subjects, candidate sleep/wake prediction algorithms were iteratively optimized against standard sleep/wake scores. The optimal algorithms obtained for various data collection epoch… 
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