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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cavusoglu, M. Burger, H.C. Brockmann, P.E. Poets, C.F. Urschitz, M.S. Kamasak, M.E. Erogul, O. |
| Copyright Year | 2014 |
| Description | Author affiliation: Neonatoloji Bolumu, Tuebingen Univ., Almanya, Germany (Brockmann, P.E.; Poets, C.F.; Urschitz, M.S.) || Biyomedikal Muhendisligi Bolumu, TOBB Ekonomi ve Teknoloji Univ., Ankara, Turkey (Erogul, O.) || Max Planck Enstitusu, Almanya, Germany (Burger, H.C.) || Biyomedikal Muhendislik Enstitusu, ETH Zurich, Zurich, Switzerland (Cavusoglu, M.) || Bilgisiyar Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul, Turkey (Kamasak, M.E.) |
| Abstract | In this paper, a novel algorithm is proposed for automatic detection of snoring sounds from ambient acoustic data in a pediatric population. With the approval of institutional ethic committee and parents, the respiratory sounds of 50 subjects were recorded by using a pair of microphones and multichannel data acquisition system simultaneously with full-night polysomnography during sleep. Brief sound chunks of 0.5 s were classified as either belonging to a snoring event or not with a multi-layer perceptron which was trained in a supervised fashion using stochastic gradient descent on a large hand-labeled dataset using frequency domain features. The overall accuracy of the proposed algorithm was found to be 88.93% for primary snorers and 80.6% for obstructive sleep apnea (OSA) patients. |
| Starting Page | 1138 |
| Ending Page | 1141 |
| File Size | 487942 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479948741 |
| DOI | 10.1109/SIU.2014.6830435 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-23 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | obstructive sleep apnea Pediatrics Conferences Sociology multi-layer perceptron Signal processing Educational institutions Sleep apnea Statistics Snoring |
| Content Type | Text |
| Resource Type | Article |
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