대한의용생체공학회:의공학회지 (Journal of Biomedical Engineering Research)

  • 제28권3호
  • /
  • Pages.369-376
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  • 2007
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  • 1229-0807(pISSN)
  • /
  • 2288-9396(eISSN)
대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
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가속도계를 이용한 광전용적맥파의 동잡음 제거

A Study on Accelerometer Based Motion Artifact Reduction in Photoplethysmography Signal

  • 강정훈 (한양대학교 의용생체공학과) ;
  • 조백환 (한양대학교 의용생체공학과) ;
  • 이종실 (한양대학교 의용생체공학과) ;
  • 지영준 (한양대학교 의용생체공학과) ;
  • 김인영 (한양대학교 의용생체공학과) ;
  • 김선일 (한양대학교 의용생체공학과)
  • Kang, Joung-Hoon (Department of Biomedical Engineering, Hanyang University) ;
  • Cho, Baek-Hwan (Department of Biomedical Engineering, Hanyang University) ;
  • Lee, Jong-Shill (Department of Biomedical Engineering, Hanyang University) ;
  • Chee, Young-Joon (Department of Biomedical Engineering, Hanyang University) ;
  • Kim, In-Young (Department of Biomedical Engineering, Hanyang University) ;
  • Kim, Sun-I. (Department of Biomedical Engineering, Hanyang University)
  • 발행 : 2007.06.30
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초록

With the convergence of ubiquitous networking and medical technologies, ubiquitous healthcare(U-Healthcare) service has come in our life, which enables a patient to receive medical services at anytime and anywhere. In the u-Healthcare environment, intelligent real-time biosignal aquisition/analysis techniques are inevitable. In this study, we propose a motion artifact cancelation method in portable photoplethysmography(PPG) signal aquisition using an accelerometer and an adaptive filter. A preliminary experiment represented that the component of the pedestrian motion artifact can be found under 5Hz in the spectral analysis. Therefore, we collected PPG signals under both simulated conditions with a motor that generates circular motion with uniform velocity (from 1 to 5Hz) and a real walking condition. We then reduced the motion artifact using a recursive least square adaptive filter which takes the accelerometer output as a noise reference. The results showed that the adaptive filter can remove the motion artifact effectively and recover peak points in PPG signals, which represents our method can be useful to detect heart rate in real walking condition.

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참고문헌

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