000000966 001__ 966
000000966 005__ 20251007004808.0
000000966 0247_ $$2DOI$$a10.6083/M4SJ1HM4
000000966 037__ $$aETD
000000966 245__ $$aUnobtrusive detection of breathing using load cells and the application to sleep apnea detection
000000966 269__ $$a2013
000000966 336__ $$aDissertation
000000966 502__ $$bPh.D.
000000966 520__ $$aIn  this  dissertation, I  report  the  work  that I have  done  to  characterize  the  frequency of response and damping characteristics of the bed/mattress system for several  different mattress types.  I also describe a novel method for detecting and monitoring the  breathing of an individual lying on the bed using a center of pressure signal derived from  the load cell data.  Finally, I present results showing the ability of the load cell system to  be used in the detection and diagnosis of sleep apnea.  The load cell system has potential  to  replace  obtrusive  breathing  sensors  in  the  sleep  lab  and  to  be  used  as  a  prescreening  tool  for  patients  suspected  of  having  sleep  apnea. This  technology  is  currently  patent  pending.
000000966 540__ $$fCC BY
000000966 542__ $$fIn copyright - single owner
000000966 650__ $$aPolysomnography$$029845
000000966 650__ $$aRespiration$$025348
000000966 650__ $$aSleep Apnea Syndromes$$026067
000000966 691__ $$aSchool of Medicine$$041369
000000966 692__ $$aDepartment of Biomedical Engineering$$041397
000000966 7001_ $$aBeattie, Zachary$$uOregon Health and Science University$$041354
000000966 7201_ $$aHayes, Tamara$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000966 7201_ $$aMcCarty, Owen$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000966 8564_ $$97f344bcc-4b25-4109-b7ba-a7aaccd0fbb4$$s8053562$$uhttps://digitalcollections.ohsu.edu/record/966/files/969_etd.pdf$$ePublic$$2b045593ea4aa3fb1998719600a89ec16$$31
000000966 905__ $$a/rest/prod/dz/01/0q/06/dz010q06g
000000966 909CO $$ooai:digitalcollections.ohsu.edu:966$$pstudent-work
000000966 980__ $$aTheses and Dissertations