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Sonification of Sleep Data

dc.contributor.authorZelada Cisneros, Eloysa
dc.contributor.authorFan, JQ
dc.contributor.authorFinnegan, Eilis
dc.contributor.authorZay, Oliver
dc.contributor.advisorRush, Stephen
dc.date.accessioned2023-05-26T17:55:27Z
dc.date.available2023-05-26T17:55:27Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/2027.42/176725
dc.description.abstractThis project is a multidisciplinary design project centered around creating electronic music that can be used as an auditory method of diagnosing sleep disorders, namely sleep apnea and hypopnea. The goal was to create an assistive diagnostic tool that doctors could use and would be non-invasive, appealing to use, aesthetically pleasing, and would create an intuitive sensory link between the sleep study data and the music. Using nasal pressure and oxygenation data collected from sleep studies that are processed by a real time detection algorithm, we created electronic tracks that respond to the presence of apnea and hypopnea events in the sleep data and represent the diagnosis sonically.
dc.subjectarts, engineering, music, electronic, sleep, medicine, computer science
dc.titleSonification of Sleep Data
dc.typeProject
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedNA
dc.contributor.affiliationumMedia Arts, Physics, Architecture, Computer Science Engineering
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176725/1/ozay_capstone_report_-_Oliver_Zay.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176725/2/ozay_capstone_poster_-_Oliver_Zay.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176725/3/sonic_sleep_track1_-_Oliver_Zay.wav
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176725/4/sonic_sleep_track2_-_Oliver_Zay.wav
dc.identifier.doihttps://dx.doi.org/10.7302/7574
dc.working.doi10.7302/7574en
dc.owningcollnameHonors Program, The College of Engineering


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