한국정보전자통신기술학회논문지 (The Journal of Korea Institute of Information, Electronics, and Communication Technology)

  • 제9권6호
  • /
  • Pages.591-598
  • /
  • 2016
  • /
  • 2005-081X(pISSN)
  • /
  • 2288-9302(eISSN)
한국정보전자통신기술학회 (Korea Information Electronic Communication Technology)
권호 표지
DOI QR코드

DOI QR Code

유사 주기성을 이용한 PFS 펄스 신호의 동잡음 제거

Removing the Motion Artifacts in the Pulse Signal Detected from the PFS Using the Quasi-periodicity

  • Lee, Han-Wook (Department of Electronic Engineering, Gyeongsang National University) ;
  • Chun, Joong-Chang (Department of Electronic Engineering, Gyeongnam National University of Science and Technology) ;
  • Jeong, Won-Geun (Smart Electronics, Daegu Campus of Korea Polytechnic)
  • 투고 : 2016.12.03
  • 심사 : 2016.12.15
  • 발행 : 2016.12.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

모바일 헬스케어 환경에서는 정확한 생체 정보를 실시간으로 측정하는 것과 함께, 저전력의 장치를 설계하는 것이 무엇보다 중요한 관건이다. 본 논문에서는 저전력 특성을 갖는 피에조 필름 센서(PFS)를 이용하여 손목의 요골 동맥으로부터 심장의 동기 신호인 맥파를 측정하는 방법을 제안하였다. 생체 신호처리에 있어서 문제점은 동잡음의 존재이다. 본 연구에서는 맥파 신호의 동잡음을 제거하기 위해서 일반적으로 적용되는 참조신호를 이용한 적응 필터링 외에 펄스 신호의 유사 주기성을 이용한 주기 이동 평균 필터 방법을 추가로 적용하였다. 시물레이션 및 실험 결과 PFS 신호에 유사 주기성을 이용함으로써 적응 필터 이후에도 존재하는 동잡음을 완벽히 제거할 수 있음을 확인 하였다.

For the mobile healthcare environment, it is important to measure the exact biomedical signals in real time, and another key point is to design mobile healthcare devices with low power consumption. In this paper, we propose a method in which the piezo film sensor(PFS), having a low power characteristic, is used to measure the pulse signal synchronized with the heart rate from the radial artery. The critical issue in the bio-signal processing is the existence of the motion artifacts. To dissolve this problem, we have applied the periodic moving average filter using the quasi-periodicity of the pulse signal in addition to the conventional method of the adaptive filtering using the reference signal. Results of simulation and experiments are presented to confirm that the quasi-periodicity of the PFS signal can be used to eliminate completely the motion artifacts which still appears after the adaptive filtering.

키워드

참고문헌

  1. Zhilin Zhang, "Photoplethysmography-based heart rate monitoring in physical activities via joint sparse spectrum reconstruction", IEEE Transaction On Biomedical Engineering, Vol. 62, NO. 8, pp. 1902, August, 2015. https://doi.org/10.1109/TBME.2015.2406332
  2. J.Y. Lee, "The potion artifacts reduction from the PPG based on EWMA", The Journal of Digital Policy & Management, Aug., 2013.
  3. B. S. Kim and S. K. Yoo, "Motion artifact reduction in photoplethysmography using independent component analysis", IEEE Transactions on Biomedical Engineering, Vol. 53, Issue3, March 2006.
  4. J.G. Webster, Design of pulse oximeters, Taylor & Francis Group, New York, 1997.
  5. Zhilin Zhang, "Photoplethysmography-based heart rate monitoring in physical activities via joint sparse spectrum reconstruction", IEEE Transactions on Biomedical Engineering, Vol. 62, No. 8, pp. 1902, August 2015. https://doi.org/10.1109/TBME.2015.2406332
  6. Sensor Products Division, Piezo Film Sensors Technical Manual, Measurement Specialties, inc. 1999.
  7. J. H. Kang, B. H. Cho, J. Lee, Y. Chee, I. Y. Kim, S. I. Kim, "A Study on Accelerometer Based Motion Artifact Reduction in Photoplethysmography Signal", Journal of Biomedical Engineering Research, vol. 30, no. 1, pp. 369-376, 2007.
  8. H. W. Lee, H. Seo, W. G. Jung, D. B. Jang, G. K. Lee, "Detection the biomedical information using the piezo film sensor", Korea Institute of Information & Electronic Communication Technology, Vol. 3, No. 3, pp. 14-21, Sep. 2010.
  9. B. Lee, J. Lee, "Design of motion artifacts filter of PPG signal based on kalman filter and adaptive filter", Journal of the Korea Institute of Information and Communication Engineering, Vol. 18, No. 4, pp. 986-991, April, 2014. https://doi.org/10.6109/jkiice.2014.18.4.986
  10. H. Park, J. Nam, J. Lee, "Design of filter to reject motion artifacts of PPG signal using multiwave optical source", Journal of the Korea Society of Computer and Information, Vol. 19, No. 2, February 2014.
  11. H. W. Lee, J. W. Lee, W. G. Jung, and G. K. Lee, "The Periodic Moving Average Filter for Removing Motion Artifacts from PPG Signals", International Journal of Control, Automation, and Systems, vol. 5, no. 6, pp.701-706, 2007.