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Home-Use and Real-Time Sleep-Staging System Based on Eye Masks and Mobile Devices with a Deep Learning Model.

Tsung-Hao HsiehMeng-Hsuan LiuChin-En KuoYung-Hung WangSheng-Fu Liang
Published in: Journal of medical and biological engineering (2021)
These experimental results demonstrate that our system provides high scoring agreements in sleep staging and unbiased sleep measurements owing to the use of EEG and EOG signals and powerful mobile computing based on deep learning networks. These results also suggest that our system is applicable for home-use real-time sleep monitoring.
Keyphrases
  • deep learning
  • sleep quality
  • physical activity
  • lymph node
  • healthcare
  • pet ct
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • working memory
  • resting state