Towards an international standard for snore-based obstructive sleep apnea syndrome diagnosis
Project/Area Number |
24700498
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Medical systems
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Research Institution | The University of Tokushima |
Principal Investigator |
Emoto Takahiro 徳島大学, ソシオテクノサイエンス研究部, 講師 (90418989)
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Project Period (FY) |
2012-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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Keywords | 閉塞型睡眠時無呼吸症候群 / いびき / 呼吸音 / 非接触 / 高速化 / モデル / 閉塞型無呼吸症候群 / 生体モデル / 診断 / いびき解析 / 包絡線情報 / ニューラルネットワーク |
Outline of Final Research Achievements |
Towards an international standard for snore-based system for the diagnosis of obstructive sleep apnea syndrome (OSAS), we have developed the following five methods:(1)neural newtork(NN)-based breathing sound detection method which can accurately detect breathing sounds in a sleep sound recording, (2) automatic method to classify snore and breathing sounds using the feature:‘positive/ negative amplitude ratio (PNAR)’to capture the shape of the sound signal, (3)NN-based fundamental approach which is capable of rapidly detecting breathing sounds with low signal to noise ratio (SNR) with the same accuracy as the conventional method, (4)a basic approach to classify the sleep sound into two categories using a model considering human auditory properties, (5)a fundamental approach to model the basic hearing abilities of absolute pitch possessors.
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Report
(5 results)
Research Products
(18 results)
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[Journal Article] A HUMAN ABSOLUTE PITCH MODEL FOR IDENTIFYING MUSICAL PITCH2016
Author(s)
Takeshi Shono, Takahiro Emoto, Udantha R. Abeyratne, Masatake Akutagawa, and Yohsuke Kinouchi
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Journal Title
Proceedings of the 12th IASTED International Conference on biomedical engineering(biomed 2016)
Volume: 832
Pages: 6063-6063
DOI
Related Report
Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
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[Presentation] いびき音解析に用いる睡眠音分類法の開発2014
Author(s)
R. Nonaka , T. Emoto, U.R. Abeyratne, O. Jinnouchi, I. Kawata, M. Akutagawa, S. Konaka, Y. Kinouchi
Organizer
ライフエンジニアリング部門シンポジウム2014
Place of Presentation
金沢大学(石川県金沢市)
Year and Date
2014-09-17 – 2014-09-19
Related Report
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