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dc.contributor.supervisor Moussavi, Zahra (Elec. & Comp. Engineering) en_US
dc.contributor.author Huq, Saiful
dc.date.accessioned 2012-04-03T20:19:21Z
dc.date.available 2012-04-03T20:19:21Z
dc.date.issued 2012-04-03
dc.identifier.uri http://hdl.handle.net/1993/5242
dc.description.abstract Current flow estimation methods use tracheal sounds in all except one step of the process: ‘breath phase detection’, is done by assuming alternating breath phases or using a second acoustic channel. The alternating assumption is unreliable in long recordings; non-breathing events (apnea, swallow or cough) change the alternating pattern. Although phases can be detected using lung sounds intensity, the additional channel and associated labor is clinically impractical. We present a method using breath sound parameters to differentiate between the two respiratory phases. The novel method is independent of flow level, requiring only one prior- and one post- breath segment to identify the phase. This was tested on data from 93 healthy individuals, without any history of pulmonary diseases, at 4 different flow levels. The most prominent features were duration, volume and shape of the sound envelope. This method showed accuracy of 95.6%, 95.5% sensitivity and 95.6% specificity. en_US
dc.subject Respiratory en_US
dc.subject Acoustics en_US
dc.subject Biomedical en_US
dc.subject Engineering en_US
dc.subject Breath en_US
dc.subject sounds en_US
dc.title Automatic breath phase detection using only tracheal breath sounds en_US
dc.degree.discipline Electrical and Computer Engineering en_US
dc.contributor.examiningcommittee Major, Arkady (Elec. & Comp. Engineering) Cenkowski, Stefan (Biosystems Engineering) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note May 2012 en_US


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