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Noncontact Sleep Monitoring With Infrared Video Data to Estimate Sleep Apnea Severity and Distinguish Between Positional and Nonpositional Sleep Apnea: Model Development and Experimental Validation.

Sina AkbarianNasim Montazeri GhahjaverestanAzadeh YadollahiBabak Taati
Published in: Journal of medical Internet research (2021)
This study demonstrates the possibility of using a camera-based method for developing an accessible and easy-to-use device for screening sleep apnea at home, which can be provided in the form of a tablet or smartphone app.
Keyphrases
  • sleep apnea
  • positive airway pressure
  • obstructive sleep apnea
  • big data
  • sleep quality
  • convolutional neural network
  • depressive symptoms
  • data analysis
  • artificial intelligence