Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

Design of Kalman Filter to Estimate Heart Rate Variability from PPG Signal for Mobile Healthcare

  • Lee, Ju-Won (Department of Medical Engineering, Andong Science College)
  • Received : 2010.03.10
  • Accepted : 2010.03.26
  • Published : 2010.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

In the mobile healthcare system, a very important vital sign in analyzing the status of user health is the HRV (heart rate variability). The used signals for measuring the HRV are electrocardiograph and PPG (photoplethysmograph). In extracting the HRV from the PPG signal, an important issue is that extract the exactly HRV from PPG signal distorted from the user's movements. This study suggested a design method of the Kalman filter to solve the problem, and evaluated the performances of a proposed method by PPG signals containing motion artifacts. In the results of experiments that compared with a variable step size adaptive filter proposed in recently, the proposed method showed better performance than an adaptive filter.

Keywords

References

  1. Ian Brown, Andrew 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, "Recent Trend in the ubiquitous Life-Care Technology", E-Communications Trend Analysis, vol. 22, no. 5, pp.24-34, 2007.
  3. Aleksandar Milenkovic, Chris Otto, Emil Jovanov, "Wireless Sensor Networks for Personal Health Monitoring: Issues and an Implementation," Computer Communications (Special issue: Wireless Sensor Networks: Performance, Reliability, Security, and Beyond), Vol. 29, No. 1314, pp. 2521-2533., 2006
  4. J. Muhlsteff, O. Such, R. Schmidt, M. Perkuhn, H. Reiter, et al, "Wearable approach for continuous ECG and activity patient-monitoring", Engineering in Medicine and Biology Society, 26th Annual International Conference of the IEEE, Volume 1, Issue, 1-5 Sept. pp. 2184-2187, 2004.
  5. Wan-Young Chung, , S. Bhardwaj, A. Purwar, Dae-Seok Lee, R. Myllylae, "A Fusion Health Monitoring Using ECG and Accelerometer sensors for Elderly Persons at Home", Engineering in Medicine and Biology Society, 29th Annual International Conference of the IEEE, Volume, Issue, 22-26 Aug. pp. 3818-3821, 2007.
  6. K. K. Tremper and S. J. Baker, Pulse Oximetry and Oxygen Transform, Springer-Verlag, 1996.
  7. N Townsend, M. Term, "Pulse Oximetry," Medical Electronics, pp.35-45, 2001.
  8. http://en.wikipedia.org/wiki/Photoplethysmograph
  9. J.W. Lee, W.G. Jung, G.K. Lee, "Design of filter to reject motion artifact of pulse oximetry", Computer Standards & Interfaces, Vol. 26, Issue 3, pp. 241-249, 2004. https://doi.org/10.1016/S0920-5489(03)00077-1
  10. Ju-Won Lee, Byeong-Ro Lee, "Heart Rate Estimation Based on PPG signal and Histogram Filter for Mobile Healthcare", Int. Journal of KIMICS, Vol.8 no. 1, pp. 112-115, 2010. https://doi.org/10.6109/jicce.2010.8.1.112
  11. H. Harry Asada, Hong-Hui Jiang, and Peter Gibbs, "Active Noise Cancellation Using MEMS Accelerometers for Motion-Tolerant Wearable Bio-Sensors", Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, CA, USA, September 1-5, 2004.
  12. S.C. Kim, E.J. Hwang, D.W. Kim, "Reduction of Movement Artifacts in Photoplethysmograph Using SFLC(scaled Fourier Linear Combiner", IFBME Proceedings, 3rd Kuala Lumpur International Conf. on Biomedical Engineering, pp. 427-430, December, 2006.
  13. J.M. Graybeal, M.T. Petterson, "Adaptive Filtering and Alternative Calculations Revolutionizes Pulse Oximetry Sensitivity and Specificity During Motion and Low Perfusion", Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, CA, USA, September 1-5, pp. 5363-5366, 2004.
  14. K. W. Chan and Y. T. Zhang, "Adaptive Reduction of Motion Artifact from Photoplethysmographic Recordings using a Variable Step Size LMS Filter," Sensors, Proceedings of IEEE, Volume: 2, pp. 1343-1346, 2002.
  15. J. B. Evans and B. Liu, "Variable step size methods for the LMS adaptive algorithms," IEEE Int. Symp. Circuits. Syst. Proc, pp.422-425, 1987.
  16. Dan Simon, "Kalman Filtering", Embedded Systems Programming JUNE, pp. 72-79. 2001.
  17. Willis J. Tompkins, Biomedical Digital Signal Processing, Prentice Hall, 1993.

Cited by

  1. Design of Motion Artifacts Filter of PPG Signal based on Kalman filter and Adaptive filter vol.18, pp.4, 2014, https://doi.org/10.6109/jkiice.2014.18.4.986