Affiliation: OHSU Biomedical Engineering
Funding Period: 2008 - 2009
Funding Source: Intel BAIC
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Abstract
We have found that load cells under the corners of the bed can detect respiration as well as movements in bed. The ability to detect both changes in respiration (such as result from sleep apnea) and periodic leg movements (which are symptomatic in sleep apnea and other disorders) over time, in a person’s home, would be of significant benefit for monitoring treatments for these disorders and for understanding sleep changes in chronic diseases such as heart disease and obesity. In this new project we will develop algorithms for extracting key breathing and movement parameters from load cell data (using sleep lab data
where we have a gold standard), and use these algorithms to examine the sleep parameters of our living lab subjects (using load cells deployed to their homes).