Advanced SearchSearch Tips
Pulse Detection from PPG Signal with Motion Artifact using Independent Component Analysis and Nonlinear Auto-correlation
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Pulse Detection from PPG Signal with Motion Artifact using Independent Component Analysis and Nonlinear Auto-correlation
Jeon, Hak-Jae; Kim, Jeong-Do; Lim, Seung-Ju;
  PDF(new window)
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.
Independent Component Analysis, ICA;Photoplethysmography, PPG;Nonlinear Autocorrelation;
 Cited by
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 crossref(new window)

2., (retrieved on Sep. 8, 2015)

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

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.

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.

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.

Lee, Seungjoon, et al. "Processing of pulse oximeter data using discrete wavelet analysis," Biomedical Engineering, IEEE, Vol. 52, No. 7, pp. 1350-1352, 2005 crossref(new window)

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 crossref(new window)

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.

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

Hyvarinen, Aapo, Juha Karhunen, and Erkki Oja., Independent component analysis, John Wiley & Sons, New York, pp 147-161, 2004.

Hyvarinen, Aapo, and Erkki Oja. "Independent component analysis: algorithms and applications," Neural networks, Vol. 13, No. 4, pp. 411-430, 2005

Naik, Ganesh R., and Dinesh K. Kumar. "An overview of independent component analysis and its applications," Informatica, Vol. 35, No. 1, 2011.

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 crossref(new window)

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.