• DocumentCode
    1602211
  • Title

    A fuzzy logic approach to modeling physical activity levels of obstructive sleep apnea patients

  • Author

    Broadway, M. ; Matthews, L. ; Kwiatkowska, M.

  • Author_Institution
    Dept. of Comput. Sci., Thompson Rivers Univ., Kamloops, BC
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper introduces a fuzzy logic approach to classifying the physical activity levels of obstructive sleep apnea (OSA) patients. Obesity is one of the risk factors of OSA, and the strong link between physical activity levels and obesity suggests that a method of assessing the physical activity levels of OSA patients is critical. We studied various objective and subjective instruments, and decided to base our fuzzy logic model on the International Physical Activity Questionnaire (IPAQ). The IPAQ model uses the duration, frequency, and intensity of various activities as inputs to classify the physical activity level of an individual. Our model will be used in a clinical setting at the Respiratory Clinic at Thompson Rivers University (TRU) to assess the physical activity level of new patients as well as patients undergoing continuous positive airway pressure (CPAP) treatment.
  • Keywords
    fuzzy logic; patient treatment; sleep; International Physical Activity Questionnaire; continuous positive airway pressure treatment; fuzzy logic; obesity; obstructive sleep apnea patients; patients treatment; physical activity levels; Accelerometers; Energy measurement; Frequency measurement; Fuzzy logic; Instruments; Medical treatment; Muscles; Physics computing; Rivers; Sleep apnea;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531220
  • Filename
    4531220