Developing automatic sleep sound inspection system towrds the diagnosis of sleep disorders

2018 Fiscal Year Final Research Report

• Project/Area Number: 15K01335
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Medical systems
• Research Institution: The University of Tokushima
• Principal Investigator: EMOTO Takahiro 徳島大学, 大学院社会産業理工学研究部(理工学域), 講師 (90418989)
• Project Period (FY): 2015-04-01 – 2019-03-31
• Keywords: いびき / 呼吸 / 睡眠

Outline of Final Research Achievements

In this study, our purpose is to develop sleep sound-based system for the diagnosis of sleep disorders. For this purpose, we have developed the following advanced technologies:(1) technique to estimate pitch name based on absolute pitch model, (2) technique to estimate sleep state based on the analysis of breath sounds, (3)technique to detect sleep breathing sounds under low signal to noise ratio (SNR) condition, (4)auditory model-based technique for snore/non-snore classification of sleep sounds and (5) snore-based technique for obstructive sleep apnea syndrome screening.

Free Research Field

生体医工学

Academic Significance and Societal Importance of the Research Achievements

本研究は、聴覚モデルに基づく自動睡眠音検査システムを構築して、いびきの特徴に基づいてOSASスクリーニングを行うことの有用性を示唆したことに学術的意義がある。入院を必要とするPSG検査の代替として、低コスト・非接触・在宅検査を目指して、多くの人にとって利用しやすい検査にすることに本研究の社会的意義がある。