한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제17권4호
  • /
  • Pages.75-82
  • /
  • 2012
  • /
  • 1598-849X(pISSN)
  • /
  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
권호 표지
DOI QR코드

DOI QR Code

주기적 이동평균필터를 이용한 동잡음 제거

The Motion Artifact Reduction using Periodic Moving Average Filter

  • 투고 : 2012.02.23
  • 심사 : 2012.04.07
  • 발행 : 2012.04.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

PPG 신호는 심장의 박동에 동기된 유사 주기 신호이다. 본 논문에서는 PPG 신호의 유사주기성을 이용한 주기적 이동평균필터 방법을 제안한다. 이 필터링 방법은 PPG 신호를 주기적으로 분리하여 각 주기 신호의 같은 순번에 있는 샘플들끼리 평균을 취하는 방법이다. 연속된 PPG 신호의 주기 중에 동잡음이 혼입되었다면 주기를 기준으로 PPG 신호를 분리한 후, 각 주기의 샘플수를 조정하여 같은 샘플수를 가지게 만든다. 이 주기들을 2차원으로 배열한 후 현재 주기부터 이전 각 주기의 샘플끼리 평균을 취함으로써 훼손 없이 동잡음을 제거할 수 있었다.

The Photoplethysmogram is a similar periodic signal that synchronized to a heartbeat. In this paper, we propose a periodic moving average filter that use similarity of Photoplethysmogram. This filtering method has the average value of each samples through separating the cycle of PPG signal. If there are some motion artifacts in continuous PPG signal, disjoin the signal based on cycle. And then, we made these signals to have same cycle by coordinating the number of sample. After arrange these cycles in 2 dimension, we put the average value of each samples from starting till now. So, we can eliminate the motion artifacts without damaged PPG signal.

키워드

참고문헌

  1. Mark Weiser, "The computer for the twenty-first century," Scientific American, Vol.265, No. 3, pp.94-104, 1991 https://doi.org/10.1038/scientificamerican0991-94
  2. M. Coen, "The future of human-computer interaction or how I learned to stop worrying and love my Intelligent Room," IEEE Intelligent Systems, Vol. 14, No. 2, pp.8-10, 1999. https://doi.org/10.1109/5254.757622
  3. Kim Woo-Shik, Cho Hyang-Duck, "A study on the seamless monitoring over the wireless LAN and the public cellular network for a portable patient monitoring system," Journal of Biomedical Engineering Research, Vol. 22, No.1, pp. 14-21, 2006.
  4. Kirk H. Shelley, Aymen A. Awad, Robert G. Stout, David G. Silverman, "The Use of Joint Time Frequency Analysis to Quantify the Effect of Ventilation on the Pulse Oximeter Waveform." Journal of Clinical Monitoring and Computing, Vol. 20, No. 2, pp. 81-87, 2006. https://doi.org/10.1007/s10877-006-9010-7
  5. 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, Vol. 28, No. 3, pp.369-376, 2007.
  6. N.V. Thakor and Y.S. Zhu, "Applications of Adaptive Filtering to ECG Analysis : Noise cancellation and arrhythmia detection," IEEE Trans. Biomed. Eng, Vol.38, No.8, pp.785-794, 1991. https://doi.org/10.1109/10.83591
  7. H.W. Lee, "PPG Signal Processing of the Radial Pulse for Ubiquitous Healthcare System," Dept. of Electronics Engineering, Gyeongsang National Univ., Korea, pp. 23-24, 2009.
  8. 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," Internal Journal of Control, Automation, and System, Vol. 5, No. 6, pp.701-706, 2007.
  9. D.H. Yoon, C.H. Lin, "An IMADF Algorithm for Adaptive Noise Cancelation of Biomedical Signal," Journal of IEEK, Vol. 46, No.1, pp.59-67, 2009.