한국항행학회논문지 (Journal of Advanced Navigation Technology)

  • 제24권4호
  • /
  • Pages.322-327
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  • 2020
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  • 1226-9026(pISSN)
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  • 2288-842X(eISSN)
한국항행학회 (The Korean Navigation Institute)
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도플러 레이더 정보를 이용한 샘플링 시점 기반의 생체 신호 측정 알고리즘 개발

Algorithm Development of Human Body Bio-Signal Measurement based on Sampling Time using Doppler Radar Information

  • 유재춘 (한국기술교육대학교 전기.전자.통신공학부) ;
  • 이명의 (한국기술교육대학교 전기.전자.통신공학부)
  • Ryu, Jae-Chun (Department of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education) ;
  • Lee, Myung-Eui (Department of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education)
  • 투고 : 2020.07.25
  • 심사 : 2020.08.20
  • 발행 : 2020.08.31
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초록

최근 도플러 레이더를 이용하여 생체 신호를 획득하는 연구가 개발되어 병상의 환자들에게 적용되는 기술로 사용되고 있다. 하지만 측정되는 맥박의 경우 호흡 신호가 잡음으로 발생하여 정확도가 낮아지는 문제가 발생한다. 본 논문에서는 도플러 레이더를 이용하여 생체신호를 측정할 때 맥박을 측정하기 위한 신호의 정확도를 향상시키기 위한 샘플링 시점 기반의 생체 신호 측정 알고리즘을 제안한다. 제안하는 알고리즘은 두 개의 샘플링 시점을 기반으로 생체 신호 측정 시 발생되는 잡음을 제거하여 측정 생체 신호의 정확도를 높이는 것으로 실제 의료 장비 및 기존 생체 신호 알고리즘과 비교하였을 때, 의료 장비와 90% 이상의 유사함을 보이며, 또한 기존 알고리즘에 비해 심한 진폭의 변화가 최소화 된 것을 확인하였다.

Recently, a research on obtaining a vital signal using a Doppler radar has been developed and is used as a technology applied to patients in bed. However, in the case of the measured pulse, the respiration signal is generated as noise, resulting in a problem of lowering accuracy. In this paper, we propose a bio-signal measurement algorithm based on the sampling point to improve the accuracy of the signal for measuring the pulse rate when measuring bio-signals using a Doppler radar. The proposed algorithm improves the accuracy of the measured bio-signal by removing noise generated when measuring biosignals based on two sampling points. Compared with actual medical equipment and existing bio-signal algorithms, it is more than 90% similar to medical equipment. In addition, it was confirmed that severe amplitude change was minimized compared to the existing algorithm.

키워드

참고문헌

  1. M. Z. Poh, D. J. McDuff, and R. W. Picard, "Advancements in noncontact multiparameter physiological measurements using a webcam," IEEE Transactions on Biomedical Engineering, Vol. 50, No. 1, pp. 7-11, JAN. 2011.
  2. W. Liang, J. Yuan, D. Sun, and M. Lin, "Changes in physiological parameters induced by indoor simulated driving: Effect of lower body exercise at mid-term break," International Open Access Journal of Sensors, Vol. 9, No. 9, pp. 6913-6933, Sep, 2009.
  3. M. Miyaji, H. Kawanaka, and K. Oguri, "Driver's cognitive distraction detection using physiological features by the adaboost," in Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis: MO, pp. 1-6, 2009.
  4. K. Jiao, Z. Y. Li, M. Chen, C. T. Wang, and S. H. Qi, "Effect of different vibration frequencies on heart rate variability and driving drowsiness in healthy drivers," International Archives of Occupational and Environmental Health, Vol. 77, No. 3, pp. 205-212, JAN. 2011. https://doi.org/10.1007/s00420-003-0493-y
  5. H. S. Shin, S. J. Jung, J. Kim, and W. Y. Chung, "Real time car driver's condition monitoring system," in Proceedings of IEEE Sensors Conference, Waikoloa: HI, pp. 951-954, 2010.
  6. G. S. Yang, Y. Z.Lin, and P. A. Bhattacharya, "Driver drowsiness recognition model based on information fusion and dynamic Bayesian network," International Journal of Information Sciences, Vol. 180, No. 10, pp. 1942-1954, May. 2010. https://doi.org/10.1016/j.ins.2010.01.011
  7. M. Patel, S. K. L. Lal, D. Kavanagh, and P. Rossiter, "Applying neural network analysis on heart rate variability data to assess driver drowsiness," International Journal of Information Sciences Expert Systems with Applications, Vol. 36, No. 6, pp. 7235-7242, Jun. 2011.
  8. M. Mahachandra, Yassierli, I. Z. Sutalaksana, and K. Suryadi, "Sensitivity of heart rate variability as indicator of driver sleepiness," in Proceedings of the 2nd International Conference of the South East Asian Network of Ergonomics Societies, Langkawi: Malaysia, pp. 1-6, 2012.
  9. G. D. Clifford, "Quantifying errors in spectral estimates of HRV due to beat replacement and resampling," IEEE Transactions on Biomedical Engineering, Vol. 52, No. 4, pp. 630-638, Mar. 2005. https://doi.org/10.1109/TBME.2005.844028