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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sola-Soler, J. Jane, R. Fiz, J.A. Morera, J. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. ESAII, Univ. Politecnica de Catalunya, Barcelona (Sola-Soler, J.; Jane, R.) |
| Abstract | Several studies have shown differences in spectral parameters between simple snorers and patients with obstructive sleep apnea syndrome (OSAS). Most of them analyzed a reduced number of snores and/or only post-apneic snores were selected in OSAS patients. Previous findings suggest that snore parameters have a greater variability as the severity of OSAS increases. In this work we propose to analyze the snoring variability through the magnitude of the first difference of snore parameters. The technique is applied to long time sound recordings from 9 simple snorers (15795 snores) and 15 OSAS patients (19263 snores). The snores are characterized by their sound intensity an by a set of spectral parameters The variability of snore parameters is well correlated to OSAS severity (r>0.7) and is significantly greater in OSAS patients than in simple snorers (p<0.005). The results are similar when post-apneic snores are excluded from the analysis. Snoring subjects are classified with a logistic regression model, which is validated with the live-one-out method. The model is adjusted to correctly classify 100% of OSAS patients for screening purposes previously to enroll for a whole polysomnographic study |
| Starting Page | 2583 |
| Ending Page | 2586 |
| File Size | 256516 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780387414 |
| DOI | 10.1109/IEMBS.2005.1616997 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-01-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sleep apnea Intelligent networks Frequency domain analysis Piezoelectric materials Acoustic materials Sensor phenomena and characterization Acoustic sensors Sampling methods Frequency conversion Detectors PSD parameters OSAS Snoring Apnea |
| Content Type | Text |
| Resource Type | Article |
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