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Validity of an algorithm for determining sleep/wake states using FS-760 in school-aged children.

Minori EnomotoShingo KitamuraKyoko Nakazaki
Published in: Journal of physiological anthropology (2022)
The S/W states in school-aged children can be reliably assessed using the developed algorithm for waist-worn actigraph FS-760. Since the accuracy of the adult algorithms decreased when applied it to children which have different activity levels during sleep, the establishment and validation of population-specific S/W algorithms should be required.
Keyphrases
  • machine learning
  • physical activity
  • deep learning
  • young adults
  • mental health
  • body mass index
  • sleep quality
  • depressive symptoms
  • body weight