• DocumentCode
    2464917
  • Title

    Classification of lying position using load cells under the bed

  • Author

    Beattie, Zachary T. ; Hagen, Chad C. ; Hayes, Tamara L.

  • Author_Institution
    Biomedical Engineering department, Oregon Health & Science University. 3303 SW Bond Avenue, Portland, OR 97239 USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    474
  • Lastpage
    477
  • Abstract
    Individuals who suffer from acid reflux at night, who snore chronically, or who have sleep apnea are frequently encouraged to sleep in a particular lying position. Side sleeping decreases the frequency and severity of obstructive respiratory events (e.g. apnea and hypopnea) in patients with positional sleep apnea. It has been suggested that individuals with Gastroesophageal Reflux Disease sleep on their left sides in order to help minimize symptoms. In this paper, we present a method of predicting the position of an individual lying on the bed using load cells placed under each of the bed supports. Our results suggest that load cells utilized in this manner could be successfully implemented into a system that tracks or helps train individuals to sleep in a particular lying position.
  • Keywords
    Accuracy; Educational institutions; Monitoring; Sensors; Sleep apnea; Stomach; System-on-a-chip; Beds; Body Weight; Equipment Design; Equipment Failure Analysis; Humans; Polysomnography; Prone Position; Reproducibility of Results; Sensitivity and Specificity; Transducers, Pressure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090068
  • Filename
    6090068