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Development of Sleep-disordered Breathing Detection System using Air-mattress and Pulse Oximeter

에어 매트리스와 산소 포화도 측정기를 이용한 수면호흡장애 자동 검출 시스템 개발

  • Jeong, Pil-Soo (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Park, Jong-Uk (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Joo, Eun-Youn (Samsung Medical Center, Sunkyunkwan University School of Medicine) ;
  • Lee, Kyoung-Joung (Department of Biomedical Engineering, College of Health Science, Yonsei University)
  • 정필수 (연세대학교 보건과학대학 의공학부) ;
  • 박종욱 (연세대학교 보건과학대학 의공학부) ;
  • 주은연 (성균관대학교 의과대학 삼성서울병원 신경과) ;
  • 이경중 (연세대학교 보건과학대학 의공학부)
  • Received : 2017.06.01
  • Accepted : 2017.07.25
  • Published : 2017.08.31

Abstract

The present study proposes a system that can detect sleep-disordered breathing automatically using an air mattress and oxygen saturation. A thin air mattress was fabricated to reduce discomfort during sleep, and respiration signals were acquired. The system was configured to be synchronized with a polysomnography to receive signals simultaneously with other bio-signals. The present study has been conducted with nine adult male and female patients with sleep-disordered breathing, and sleep-disordered breathing events have been detected by applying the signals acquired from the subjects to the rule-based detection algorithm. The sensitivity and positive predictive values were found to evaluate the performance of the system, which are 91.4% and 89.7% for all events, respectively. The comparison of apnea hypopnea index(AHI) between the polysomnography and the proposed method showed squared R-value of 0.9. This study presents the possibility of detecting sleep-disordered breathing at hospitals or homes using the proposed system.

Keywords

References

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