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Robust Design of Pulse Oximeter Using Dynamic Control and Motion Artifact Detection Algorithms
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  • Robust Design of Pulse Oximeter Using Dynamic Control and Motion Artifact Detection Algorithms
  • Robust Design of Pulse Oximeter Using Dynamic Control and Motion Artifact Detection Algorithms
저자명
Cho. Jung Hyun,Kim. Jong Cheol,Yoon. Gil Won
간행물명
Journal of electrical engineering & technology
권/호정보
2014년|9권 5호|pp.1780-1787 (8 pages)
발행정보
대한전기학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Arterial oxygen saturation ($SpO_2$) monitoring for newborns requires special attention in neonatal intensive care units (NICUs). Newborns have very low photo-plethysmogram (PPG) amplitudes and their body movements are difficult to contain. Hardware design and its associated signal processing algorithms should be robust enough so that faulty measurements can be avoided. In this study, improved designs were implemented to deal with low perfusion, motion artifact, and the influence of ambient light. Dynamic range was increased by using different LED intensities and a feedback system. To minimize the effects of motion artifact and to discard other unqualified data, four additional algorithms were used, which were based on dual-trace detection, continuity of DC level, morphology of PPG, and simultaneity check of $SpO_2$. Our $SpO_2$ system was tested with newborns with normal respiration in the NICU. Our system provided fast, real-time responses and 100% artifact detection was accomplished under 84% of $SpO_2$.