Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
권호 표지
DOI QR코드

DOI QR Code

Pulse Detection from PPG Signal with Motion Artifact using Independent Component Analysis and Nonlinear Auto-correlation

독립 성분 분석과 비선형 자기상관을 이용한 동잡음이 포함된 PPG 신호에서의 맥박 검출

  • Jeon, Hak-Jae (Department of Electronic Engineering, Hoseo University) ;
  • Kim, Jeong-Do (Department of Electronic Engineering, Hoseo University) ;
  • Lim, Seung-Ju (Department of Electronic Engineering, Hoseo University)
  • 전학재 (호서대학교 전자공학과) ;
  • 김정도 (호서대학교 전자공학과) ;
  • 임승주 (호서대학교 전자공학과)
  • Received : 2015.11.26
  • Accepted : 2016.01.26
  • Published : 2016.01.29
Download PDF
⟨ Previous Next ⟩

Abstract

PPG signal measured by pulse oximeter can measure pulse and the oxygen saturation of arterial blood. But the PPG signal is distorted by finger movement or other movement in the body. To detect pulse from the PPG signal with motion artifact, we use band pass filter(BPF), Independent component analysis(ICA) and nonlinear autocorrelation(NAC). BPF is used to remove DC component and high frequency noise in the PPG signal with motion artifacts. ICA is used to separate pulse signal and motion artifact. However, pulse signal separated by ICA have no choice but to accompany signal distortion because pulse signal and motion artifact are not completely independent. So, we use nonlinear autocorrelation to emphasize the pure pulse signal from the distorted signal.

Keywords

References

  1. Rusch, T. L., R. Sankar, and J. E. Scharf. "Signal processing methods for pulse oximetry," Computers in biology and medicine, 26.2, 143-159, 1996 https://doi.org/10.1016/0010-4825(95)00049-6
  2. www.ti.com/lit/ds/symlink/afe4490.pdf, (retrieved on Sep. 8, 2015)
  3. Lee, H., Lee, J., Jung, W., & Lee, G. K. "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
  4. Relente, A. R., and L. G. Sison. "Characterization and adaptive filtering of motion artifacts in pulse oximetry using accelerometers", 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, Proceedings of the Second Joint. Vol. 2. IEEE, 2002.
  5. RAM, M. Raghu, et al. "On the performance of Time Varying Step-size Least Mean Squares (TVS-LMS) adaptive filter for MA reduction from PPG signals" Communications and Signal Processing (ICCSP), International Conference on. IEEE, pp. 431-435, 2011.
  6. Lee, C. M., and Y. T. Zhang. "Reduction of motion artifacts from photoplethysmographic recordings using a wavelet denoising approach," Biomedical Engineering, IEEE EMBS Asian-Pacific Conference on. IEEE, pp 194-195, 2003.
  7. Lee, Seungjoon, et al. "Processing of pulse oximeter data using discrete wavelet analysis," Biomedical Engineering, IEEE, Vol. 52, No. 7, pp. 1350-1352, 2005 https://doi.org/10.1109/TBME.2005.847538
  8. Kim, Byung S., and Sun K. Yoo. "Motion artifact reduction in photoplethysmography using independent component analysis," Biomedical Engineering, IEEE Transactions on, Vol. 53, No. 3, pp. 566-568, 2006 https://doi.org/10.1109/TBME.2005.869784
  9. Stetson, P. F. "Independent component analysis of pulse-oximetry signals," Engineering in Medicine and Biology Society, IEMBS'04. 26th Annual International Conference of the IEEE. Vol. 1, 2004.
  10. Glen D.Brown, Satoshi Yamada and Terrence J.Sejnowski, "Independent component analysis at the neural cocktail party", TRENDS in Neurosciences, Vol.24, No.1, 2001
  11. Hyvarinen, Aapo, Juha Karhunen, and Erkki Oja., Independent component analysis, John Wiley & Sons, New York, pp 147-161, 2004.
  12. Hyvarinen, Aapo, and Erkki Oja. "Independent component analysis: algorithms and applications," Neural networks, Vol. 13, No. 4, pp. 411-430, 2005 https://doi.org/10.1016/S0893-6080(00)00026-5
  13. Naik, Ganesh R., and Dinesh K. Kumar. "An overview of independent component analysis and its applications," Informatica, Vol. 35, No. 1, 2011.
  14. Hyvarinen, Aapo. "Fast and robust fixed-point algorithms for independent component analysis," Neural Networks, IEEE Transactions on, Vol. 10, No. 3, pp. 626-634, 1999 https://doi.org/10.1109/72.761722
  15. Palit, Sanjay Kumar, Sayan Mukherjee, and D. K. Bhattacharya. "New types of nonlinear auto-correlations of bivariate data and their applications," Applied Mathematics and Computation, Vol. 218, No. 17, pp. 8951-8967, 1999. https://doi.org/10.1016/j.amc.2012.02.055