대한의용생체공학회:의공학회지 (Journal of Biomedical Engineering Research)

  • 제35권3호
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  • Pages.55-61
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  • 2014
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  • 1229-0807(pISSN)
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  • 2288-9396(eISSN)
대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
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PVDF 필름 기반 센서를 이용한 정상인 및 폐쇄성 수면 무호흡증 환자에서의 무구속적인 렘 수면 모니터링

Unconstrained REM Sleep Monitoring Using Polyvinylidene Fluoride Film-Based Sensor in the Normal and the Obstructive Sleep Apnea Patients

  • 황수환 (서울대학교 공과대학 협동과정 바이오엔지니어링 전공) ;
  • 윤희남 (서울대학교 공과대학 협동과정 바이오엔지니어링 전공) ;
  • 정다운 (서울대학교 공과대학 협동과정 바이오엔지니어링 전공) ;
  • 서상원 (서울대학교 공과대학 협동과정 바이오엔지니어링 전공) ;
  • 이유진 (서울대학교병원 수면의학센터) ;
  • 정도언 (서울대학교병원 수면의학센터) ;
  • 박광석 (서울대학교 의과대학 의공학교실)
  • Hwang, Su Hwan (Interdisciplinary Program in Bioengineering, Seoul National University) ;
  • Yoon, Hee Nam (Interdisciplinary Program in Bioengineering, Seoul National University) ;
  • Jung, Da Woon (Interdisciplinary Program in Bioengineering, Seoul National University) ;
  • Seo, Sang Won (Interdisciplinary Program in Bioengineering, Seoul National University) ;
  • Lee, Yu Jin (Department of Neuropsychiatry and the Center for Sleep and Chronobiology, Seoul National University) ;
  • Jeong, Do-Un (Department of Neuropsychiatry and the Center for Sleep and Chronobiology, Seoul National University) ;
  • Park, Kwang Suk (Department of Biomedical Engineering, Seoul National University College of Medicine)
  • 투고 : 2014.05.28
  • 심사 : 2014.06.24
  • 발행 : 2014.06.30
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초록

In sleep monitoring system, polysomnography (PSG) is the gold-standard but previous studies revealed that attaching numerous amount of sensors disturb sleep during the test which is the fundamental disadvantage of PSG. We suggest an unconstrained rapid-eye-movement (REM) sleep monitoring method measured with polyvinylidene (PVDF) film-based sensor for the normal and the obstructive sleep apnea (OSA) patients. Nine normal subjects and seventeen OSA patients have participated in the study. During REM sleep, rate and variability of respiration are known to be greater than in other sleep stages. Based on this phenomena, respiratory signals of participants were unconstrainedly measured using the PVDF-based sensor with the PSG and REM sleep were extracted from the average rate and variability of respiration. In epoch-by-epoch REM sleep detection, proposed method classified REM sleep with an average sensitivity of 72.3%, specificity of 92.5%, accuracy of 88.9%, and kappa statistic of 0.60 compared to the results of PSG. Student's t-test showed no significant difference between the results of normal and OSA group. This method is potentially applicable to REM sleep detection in homing environment or ambulatory monitoring.

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