DOI QR코드

DOI QR Code

Design of Filter to Reject Motion Artifacts of PPG Signal by Using Two Photosensors

  • Lee, Ju-Won (Department of Medical Engineering, Andong Science College) ;
  • Nam, Jae-Hyun (Department of Medical Engineering, Andong Science College)
  • Received : 2012.01.20
  • Accepted : 2012.02.27
  • Published : 2012.03.31

Abstract

The photoplethysmography (PPG) signal measured from a mobile healthcare device contains various motion artifacts occurring from a patient’s movements. Recently, to reject the motion artifacts, the method of using an acceleration sensor was suggested, but such sensors are very expensive. Therefore, this study deals with a novel sensor device to replace the acceleration sensor, and evaluated the performance of the proposed sensor experimentally. In the results of the experiments, it is shown that the proposed sensor device can reconstruct the PPG signal despite the occurrence of motion artifacts, and also that the variation rate in heart rate analysis was 1.22%. According to the experimental results, the proposed method can be applied to design a low-cost device.

Keywords

References

  1. I. Brown and A. A. Adams, "The ethical challenges of ubiquitous healthcare," International Review of Information Ethics, vol. 8, no. 12, pp. 53-60, 2007.
  2. G. Y. Sung, M. G. Jang, M. Y. Jung, S. H. Kim, S. J. Park, and S. H. Park, "Recent trend in the ubiquitous life-care technology," Electronics and Telecommunications Trends, vol. 22, no. 5, pp. 24-34, 2007.
  3. A. Milenkovic, C. Otto, and E. Jovanov, "Wireless sensor networks for personal health monitoring: issues and an implementation," Computer Communications, vol. 29, no. 13-14, pp. 2521-2533, 2006. https://doi.org/10.1016/j.comcom.2006.02.011
  4. W. Y. Chung, S. Bhardwaj, A. Purwar, D. S. Lee, and R. Myllylae, "A fusion health monitoring using ECG and accelerometer sensors for elderly persons at home," Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, pp. 3818-3821, 2007.
  5. H. H. Asada, H. H. Jiang, and P. Gibbs, "Active noise cancellation using MEMS accelerometers for motion-tolerant wearable bio-sensors," Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco. CA, pp. 2157-2160, 2004.
  6. K. K. Tremper and S. J. Baker, "Pulse oximetry and oxygen transform," in Purse Oximetry, Berlin: Springer-Verlag, 1996.
  7. N. Townsend and M. Term, "Pulse Oximetry," in Medical Electronics, pp. 35-45, 2001.
  8. J. W. Lee and B. R. Lee, "Heart rate estimation based on PPG signal and histogram filter for mobile healthcare," International Journal of Maritime Information and Communication Sciences, vol. 8, no. 1, pp. 112-115, 2010.
  9. J. B. Evans and B. Liu, "Variable step size methods for the LMS adaptive algorithms," Proceedings of IEEE International Symposium on Circuits and Systems, Philadelphia: PA, pp. 422- 425, 1987.
  10. S. S. Haykin, Adaptive Filter Theory, Upper Saddle River, NJ: Prentice Hall, 2002.

Cited by

  1. 광전력 진폭변조와 ICA를 이용한 PPG 신호의 동잡음 제거 필터 설계 vol.17, pp.3, 2012, https://doi.org/10.6109/jkiice.2013.17.3.691
  2. Differential photoplethysmogram sensor with an optical notch filter shows potential for reducing motion artifact signals vol.4, pp.4, 2018, https://doi.org/10.1088/2057-1976/aac57c
  3. Review on Smart Electro-Clothing Systems (SeCSs) vol.20, pp.3, 2020, https://doi.org/10.3390/s20030587
  4. Stable Bioelectric Signal Acquisition Using an Enlarged Surface-Area Flexible Skin Electrode vol.3, pp.4, 2021, https://doi.org/10.1021/acsaelm.1c00095