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|Title: ||Automatic breath phase detection using only tracheal breath sounds|
|Authors: ||Huq, Saiful|
|Supervisor: ||Moussavi, Zahra (Elec. & Comp. Engineering)|
|Examining Committee: ||Major, Arkady (Elec. & Comp. Engineering) Cenkowski, Stefan (Biosystems Engineering)|
|Graduation Date: ||May 2012|
|Issue Date: ||3-Apr-2012|
|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.|
|Appears in Collection(s):||FGS - Electronic Theses & Dissertations (Public)|
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