Sleep Quality Prediction From Wearable Data Using Deep Learning

@article{Sathyanarayana2016SleepQP,
  title={Sleep Quality Prediction From Wearable Data Using Deep Learning},
  author={Aarti Sathyanarayana and Shafiq R. Joty and Luis Fern{\'a}ndez-Luque and Ferda Ofli and Jaideep Srivastava and Ahmed K. Elmagarmid and Teresa Arora and Shahrad Taheri},
  journal={JMIR mHealth and uHealth},
  year={2016},
  volume={4}
}
Background The importance of sleep is paramount to health. Insufficient sleep can reduce physical, emotional, and mental well-being and can lead to a multitude of health complications among people with chronic conditions. Physical activity and sleep are highly interrelated health behaviors. Our physical activity during the day (ie, awake time) influences our quality of sleep, and vice versa. The current popularity of wearables for tracking physical activity and sleep, including actigraphy… Expand
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