Diagnostic support of obstructive sleep apnea based on snoring analysis
Project/Area Number |
21700509
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Medical systems
|
Research Institution | The University of Tokushima |
Principal Investigator |
EMOTO Takahiro 徳島大学, 大学院・ソシオテクノサイエンス研究部, 助教 (90418989)
|
Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2011: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2010: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
|
Keywords | いびき / 無呼吸症候群 / 診断支援 / 閉塞型無呼吸 / 低SNR音検出法 / 高周波解析 / 調波構造区間検出 / 閉塞型無呼吸症候群 / 非線形性 / 高周波 / ホルマント周波数 / 自己組織化マップ / ニューラルネットワーク / 周波数解析 |
Research Abstract |
As an alternative to polysomnography test, we attempted to develop the snore-based OSA diagnosis techniques. The results obtained show that :(i) high diagnosis accuracy is achieved by noise-robust formant detection,(ii) there is a significant difference between OSA and non-OSA snorers in the high frequency region> 5kHz,(iii) apneic snores exhibits more complex behavior with nonlinear dynamic properties compared to non-apenic snores,(iv) neural network-based method developed can detect the low SNR snore-breathing episode.
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Report
(4 results)
Research Products
(16 results)