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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mikami, T. |
| Copyright Year | 2009 |
| Description | Author affiliation: Tomakomai College of Technology, Japan (Mikami, T.) |
| Abstract | This paper focuses on the nonlinear properties of snoring sounds for the purpose of obstructive sleep apnea diagnosis. Snoring sounds are convolutional sounds caused by wheezing of airway obstruction and oscillation of soft palate. Namely, it should be natural that the snoring sounds are generated from a nonlinear dynamics, but the nonlinear properties of them have not yet been studied so far. In this paper, the nonlinearity is defined as the predictability using a linear AR prediction model, and the prediction residuals are analyzed by portmanteau test. |
| Starting Page | 5256 |
| Ending Page | 5259 |
| File Size | 263808 |
| Page Count | 4 |
| File Format | |
| ISBN | 9784907764340 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-18 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | SICE |
| Subject Keyword | Sleep apnea Predictive models Acoustic noise Frequency domain analysis White noise Convolutional codes Convolution Acoustic testing Tongue Educational institutions Portmanteau Test Nonlinearity Snoring Sounds Linear Prediction Model |
| Content Type | Text |
| Resource Type | Article |
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