Browse > Article
http://dx.doi.org/10.9718/JBER.2007.28.3.369

A Study on Accelerometer Based Motion Artifact Reduction in Photoplethysmography Signal  

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)
Publication Information
Journal of Biomedical Engineering Research / v.28, no.3, 2007 , pp. 369-376 More about this Journal
Abstract
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.
Keywords
ubiquitous healthcare; photoplethysmography; recursive least square; motion artifact; noise cancelation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Mark Weiser, 'The computer for the twenty- first century,' Scientific American, vol. 265, no. 3, pp. 94, 1991
2 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   과학기술학회마을
3 B.A. Shapiro,B.A. Peruzzi, R. Templin, Clinical Application of Blood Gases.5th ed, St.Louis Mosby yearbook, 1994, pp. 64
4 M.R. Neuman, N. Wang, 'Motion artifact in pulse oximetry,' in Proc. IEEE Conf.Medicine and Biology, vol. 12, pp. 2007-2008, 1990
5 T.L. Rusch, R. Sankar, J.E. Schharf, 'Signal processing methods for pulse oximetry,' Computers in biology and medicine, vol. 26, no.2,pp. 143-159, 1996   DOI   ScienceOn
6 K.W Chan, Y.T Zhang, 'Adaptive reduction of motion artifact from photoplethysmographic recordings using a variable step-size LMS filter,' Sensors, 2002. in Proc the IEEE, vol. 2, pp.1343-1346, 2002
7 B. Widrow et al, 'Adaptive noise cancelling: principles and applications,' in Proc. the IEEE, 1975, vol. 63, no. 1, pp. 1692-1716
8 J.G. Webster, Medical Instrumentation :Design and Application, Wiley, 1978
9 B.S. Kim, S.K. Yoo, 'Motion artifact reduction in photoplethysmography using independent component analysis,' . IEEE Transactions on Biomedical Engineering, vol. 53, no. 3, pp.566-568, 2006   DOI   ScienceOn
10 C.M. Lee, Y.T Zhang, 'Reduction of motion artifacts from photoplethysmographic recordings using a wavelet denoising approach,' in Proc. IEEE EMBS Asian-Pacific Conference, pp. 194-195, 2003
11 M.J. Hayes, P.R. Smith, 'Artifact reduction in photoplethysmograthy,' Journal of NeuroEngineering and Rehabilitation, vol. 37, no. 31, pp. 7437-7446, 1998
12 K.K. Tremper and S.J. Barker, Pulse Oximetry and Oxygen Transform. Pulse Oximetry, Springer-Verlag, 1986
13 G.H. Kim, Extraction of Artifacts and SpO2 Sources of Measured Signal from Pulse Oximeter using Independent Component Analysis, Dept. of Graduate Program in Biomedical Engineering ,Yonsei University, 2004
14 Simon Haykin, Adaptive Filter Theory, Prentice-Hall, Inc, 1996
15 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
16 J.G. Webster, Design of Pulse Oximeters, Institute of Physics Publishing, Bristol, UK and Philadelphia, USA, 1997,pp. 124-158