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
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