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dc.contributor.supervisorMoussavi, Zahra (Elec. & Comp. Engineering)en_US
dc.contributor.authorHuq, Saiful
dc.date.accessioned2012-04-03T20:19:21Z
dc.date.available2012-04-03T20:19:21Z
dc.date.issued2012-04-03
dc.identifier.urihttp://hdl.handle.net/1993/5242
dc.description.abstractCurrent 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.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectRespiratoryen_US
dc.subjectAcousticsen_US
dc.subjectBiomedicalen_US
dc.subjectEngineeringen_US
dc.subjectBreathen_US
dc.subjectsoundsen_US
dc.titleAutomatic breath phase detection using only tracheal breath soundsen_US
dc.typeinfo:eu-repo/semantics/masterThesis
dc.typemaster thesisen_US
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.contributor.examiningcommitteeMajor, Arkady (Elec. & Comp. Engineering) Cenkowski, Stefan (Biosystems Engineering)en_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.noteMay 2012en_US


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