Towards Benchmarked Sleep Detection with Wrist-Worn Sensing Units

@article{Borazio2014TowardsBS,
  title={Towards Benchmarked Sleep Detection with Wrist-Worn Sensing Units},
  author={Marko Borazio and Eugen Berlin and Nagihan K{\"u}c{\"u}kyildiz and Philipp Scholl and Kristof Van Laerhoven},
  journal={2014 IEEE International Conference on Healthcare Informatics},
  year={2014},
  pages={125-134}
}
The monitoring of sleep by quantifying sleeping time and quality is pivotal in many preventive health care scenarios. A substantial amount of wearable sensing products have been introduced to the market for just this reason, detecting whether the user is either sleeping or awake. Assessing these devices for their accuracy in estimating sleep is a daunting task, as their hardware design tends to be different and many are closed-source systems that have not been clinically tested. In this paper… CONTINUE READING
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