Automatic breath phase detection using only tracheal breath sounds
| dc.contributor.author | Huq, Saiful | |
| dc.contributor.examiningcommittee | Major, Arkady (Elec. & Comp. Engineering) Cenkowski, Stefan (Biosystems Engineering) | en_US |
| dc.contributor.supervisor | Moussavi, Zahra (Elec. & Comp. Engineering) | en_US |
| dc.date.accessioned | 2012-04-03T20:19:21Z | |
| dc.date.available | 2012-04-03T20:19:21Z | |
| dc.date.issued | 2012-04-03 | |
| dc.degree.discipline | Electrical and Computer Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| 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.description.note | May 2012 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/5242 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | 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.type | master thesis | en_US |