Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
권호 표지
DOI QR코드

DOI QR Code

SpO2 Measurement Algorithm for PPG Signal with Motion Artifacts

동잡음을 가진 PPG 센서에서의 산소포화도 측정 알고리즘

  • Jang, Seong-Jin (Smart Textile R&D Group, Korea Institute of Industrial Technology) ;
  • Choi, Kue-Lak (Smart Textile R&D Group, Korea Institute of Industrial Technology) ;
  • Park, Keun-Hae (Smart Textile R&D Group, Korea Institute of Industrial Technology) ;
  • Kim, Jeong-Do (Department of Electronic Engineering, Hoseo University)
  • 장성진 (한국생산기술연구원스마트섬유그룹) ;
  • 최규락 (한국생산기술연구원스마트섬유그룹) ;
  • 박근혜 (한국생산기술연구원스마트섬유그룹) ;
  • 김정도 (호서대학교 전자공학과)
  • Received : 2018.05.14
  • Accepted : 2018.05.25
  • Published : 2018.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

Pulse oximetry is a non-invasive method for monitoring how much oxygenated hemoglobin is present in the blood. The principle of pulse oximetry is based on the red infrared light adsorption characteristics of oxygenated and deoxygenated hemoglobin. Even through the convenience of a pulse oximeter, its weak signal-to-noise ratio against motion artifacts and low perfusion makes it difficult to be accepted by execs devices. Several researchers have suggested the use of an adaptive noise cancellation (ANC) algorithm. They have demonstrated that ANC is feasible for reducing the effects of motion artifacts. Masimo Corporation developed a discrete saturation transformation (DST) algorithm that uses a reference signal and ANC. In commercial devices, it is very hard to escape it because Masimo's patents are very powerful and a better method is yet to be developed. This study proposes a new method that can measure noise saturation as well as accurate oxygen saturation from signals with high motion artifacts without using ANC and DST. The proposed algorithm can extract a normal signal without noise from a signal with motion artifacts. The reference signal from a pulse oximeter simulator was used for the evaluation of our proposed algorithm and achieved good results.

Keywords

References

  1. J. G. Webster, Design of Pulse Oximeters, Institute of Physics Publishing, 1997.
  2. L. G. Lindberg, "Pulse oximeter signal at various blood flow conditions in an in vitro model", Med. Biol. Eng. Comput., Vol. 33(1), pp. 87-91, 1995. https://doi.org/10.1007/BF02522952
  3. M. Kuroda, M. Kawamoto and O. Yuge, "Undisrupted pulse wave on pulse oximeter display monitor at cardiac arrest in a surgical patient", J. Anesth., Vol. 19(2), pp. 164-166, 2005. https://doi.org/10.1007/s00540-004-0298-5
  4. J. P. de Kock and L. Tarassenko, "Pulse oximetry: Theoretical and experimental models", Med. Biol. Eng. Comput., Vol. 31(3), pp. 291-300, 1993. https://doi.org/10.1007/BF02458049
  5. Y. X. Yang, B. S. Xie, Z. X. Zhou, J. N. Liu, Y. Y. Xue and G. L. Lv "Computer analysis system of blood oxygen saturation in an animal hypoxia model", Med. Biol. Eng. Comput., Vol. 36(3), pp.355-358, 1998. https://doi.org/10.1007/BF02522483
  6. Y. Mendelson and B. D. Ochs, "Noninvasive pulse oximetry utilizing skin reflectance photoplethysmography", IEEE Trans. Biomed. Eng., Vol. 35(10), pp. 798-805, 1988 https://doi.org/10.1109/10.7286
  7. W. New, Jr. and J. E. Corenman, "Pulse oximeter monitor", U. S. Patent, 4653498, 20 May., 1986
  8. G. R. Blackwell, "The technology of pulse oximetry", Biomed. Instrum. Tech., Vol. 23(3), pp. 188-193, 1989.
  9. J. F. Kelleher, "Pulse Oximetry", J. Clin. Monit., Vol. 5(1), pp. 37-62, 1989. https://doi.org/10.1007/BF01618369
  10. P. D. Mannheimer, J. R. Cascini, M. E. Fein and S. L. Nierlich, "Wavelength selection for low-saturation pulse oximetry", IEEE Trans. Biomed. Eng., Vol. 44(3), pp. 148-158, 1997. https://doi.org/10.1109/10.554761
  11. T. Ukawa, K. Ito and T. Nakayama, "Pulse Oximeter", U. S. Patent, 5355882, 18 Oct., 1994.
  12. http://www.masimo.com/, Technical Bulletin #1, Signal Extraction Technology. (retrieved on May. 21, 2018)
  13. http://www.masimo.com/, Technical Bulletin #3, PVI. Masimo. (retrieved on May. 21, 2018)
  14. H. J. Seo, "Pulse oximetry-based SpO2 and pulse rate detection for mobile health care devices", Ph. D. thesis, KAIST, 2008.
  15. B. S. Kim and S. K. Yoo, "Motion artifact reduction in photoplethysmography using independent component analysis", IEEE Trans. Biomed. Eng., Vol. 53(3), 2006.
  16. K. K. Tremper and S. J. Barker, Pulse oximetry and oxygen transform, Springer-Verlag, Berlin, Vol. 70(1), pp. 98-108, 1986.