• DocumentCode
    3672669
  • Title

    SleepSense: Non-invasive sleep event recognition using an electromagnetic probe

  • Author

    Yan Zhuang;Chen Song;Aosen Wang;Feng Lin;Yiran Li;Changzhan Gu;Changzhi Li;Wenyao Xu

  • Author_Institution
    Department of Computer Science and Engineering, SUNY at Buffalo, New York, USA
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Sleep monitoring is receiving increased attention in the healthcare community, because the quality of sleep has a great impact on human health. Existing in-home sleep monitoring devices are either obtrusive to the user or cannot provide adequate sleep information. To this end, we present SleepSense, a contactless and low-cost sleep monitoring system for home use that can continuously detect the sleep event. Specifically, SleepSense consists of three parts: an electromagnetic probe, a robust automated radar demodulation module, and a signal processing framework for sleep event recognition, including on-bed movement, bed exit, and breathing event. We present a prototype of the SleepSense system, and perform a set of comprehensive experiments to evaluate the performance of sleep monitoring. Using a real-case evaluation, experimental results indicate that SleepSense can perform effective sleep event detection and recognition in practice.
  • Keywords
    "Feature extraction","Electromagnetics","Probes","Monitoring","Baseband","Frequency-domain analysis","Data acquisition"
  • Publisher
    ieee
  • Conference_Titel
    Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on
  • Type

    conf

  • DOI
    10.1109/BSN.2015.7299364
  • Filename
    7299364