Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Detecting of Noncontact Biosignal using UWB Radar

UWB 레이더를 이용한 비접촉 생체신호 검출에 관한 연구

  • Lee, Yonggyu (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Cho, Joonggil (General Department, Hexhive Co. Ltd.) ;
  • Kim, Taesung (School of Industrial Engineering, Kumoh National Institute of Technology)
  • Received : 2019.10.01
  • Accepted : 2019.12.13
  • Published : 2019.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

This study relates to acquiring biological signal without attaching directly to the user using UWB(Ultra Wide Band) radar. The collected information is the respiratory rate, heart rate, and the degree of movement during sleep, and this information is used to measure the sleep state. A breathing measurement algorithm and a sleep state detection algorithm were developed to graph the measured data. Information about the sleep state will be used as a personalized diagnosis by connecting with the medical institution and contribute to the prevention of sleep related diseases. In addition, biological signal will be linked to various sensors in the era of the 4th industrial revolution, leading to smart healthcare, which will make human life more enriching.

Keywords

References

  1. Y. S. Choi(2015), "Challenges and Solutions of Smart Healthcare Devices as a Case Study." Smart Device Trend Magazine(SDTM), Digital Healthcare Institute, 17. https://blog.naver.com/mtmag/220574388580
  2. S. S. Byun(2015), "UWB radar and non-contact polysomnography." Journal of the Korea Electromagnetic Engineering Society, 10(1):33-40. DOI: 10.14372/IEMEK.2015.10.1.33
  3. Y. C. Sim, E. S. Kim(2009), "A Study on Mobile Interaction of Biological Signal Measurement." Electronics Engineering Society of Korea, 480-482.
  4. H. J. Jung, Y. S. Lee, Y. H. Kim, C. W. Park(2007), "Non-contact bio-signal measurement system technology trend analysis." Korean Multimedia Engineering Conference, 131-132.
  5. I. G. Lee(1999), "Polysomnography test." Annals of Clinical Neurophysiology, 1(2):230-235.
  6. D. W. Jang, S. Y. Um, J. I. Choi(2015), "Development of human body signal monitoring system using UWB radar sensor." Korea Telecom Society 2015 Summer Conference.
  7. American Sleep Disorders Association(1990). The International Classification of Sleep Disorders - Diagnostic and Coding Manual.
  8. A. W. De Weerd, P. Clarenbach(1999), "Recording sleep and wake." EEG and Clinical Neurophysiology, 52:159-170.
  9. K. H. Kim(2002), "UWB radar technology trend." Electromagnetic wave technology, Korea Electromagnetic Engineering Society. 13(3):52-62.
  10. J. H. Kang, M. G. Lee, H. J. Lim, J. J. Yoo, M. H. Yoon, W. S. Koo(2008), "UWB-based wireless location aware service technology." Korea Multimedia Society, 12(3):35-45.
  11. J. Dederer, B. Schleicher, F. Santos, A. Trasser, H. Schumacher(2007), "FCC compiant 3.1-10.6 GHz UWB pulse radar system using correlation detection." Proceedings of IEEE/MTT-S International Microwave Symposium, 1471-1474.
  12. S. Kidera, T. Sakamoto, T. Sato(2010), "Accurate UWB radar three-dimensional imaging algorithm for a complex boundary without range point connections." IEEE Transactions on Geoscience and Remote Sensing, 48(4):1993-2004. https://doi.org/10.1109/TGRS.2009.2036909
  13. J. Nam, D. Park, J. Yoo, S. Yoo, J. Ha(2012), "Comparison of heart rate variability indices between obstructive sleep apnea syndrom and primary insomnia." Sleep Medicine and Psychophysiology, 19(2):68-76. https://doi.org/10.14401/KASMED.2012.19.2.068
  14. W. T. Song, B. K. Park, S. K. Lee, C. W. Jeong, S. C. Joo(2013), "Sleeping Detection System for Monitoring Sleep Disorders." Korean Society for Internet Information Conference, 37-38.