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
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