Abdominal Wall Motion-Based Respiration Rate Measurement using An Ultrasonic Proximity Sensor

복부 움직임에 따른 초음파 근접센서를 이용한 호흡측정에 관한 연구

  • 민세동 (연세대 공대 전기전자공학과) ;
  • 김진권 (연세대 공대 전기전자공학과) ;
  • 신항식 (연세대 공대 전기전자공학과) ;
  • 윤용현 (연세대 공대 전기전자공학과) ;
  • 이충근 (연세대 공대 전기전자공학과) ;
  • 이정환 (건국대 공대 의학공학부) ;
  • 이명호 (연세대 공대 전기전자공학과)
  • Published : 2009.10.01

Abstract

In this paper, we proposed a non-contact respiration measurement system with ultrasonic proximity sensor. Ultrasonic proximity sensor approach of respiration measurement which respiration signatures and rates can be derived in real-time for long-term monitoring is presented. 240 kHz ultrasonic sensor has been applied for the proposed measurement system. The time of flight of sound wave between the transmitted signal and received signal have been used for a respiration measurement from abdominal area. Respiration rates measured with the ultrasonic proximity sensor were compared with those measured with standard techniques on 5 human subjects. Accurate measurement of respiration rate is shown from the 50 cm measurement distance. The data from the method comparison study is used to confirm the performance of the proposed measurement system. The current version of respiratory rate detection system using ultrasonic can successfully measure respiration rate. The proposed measurement method could be used for monitoring unconscious persons from a relatively close range, avoiding the need to apply electrodes or other sensors in the correct position and to wire the subject to the monitor. Monitoring respiration using ultrasonic sensor offers a promising possibility of non-contact measurement of respiration rates. Especially, this technology offers a potentially inexpensive implementation that could extend applications to consumer home-healthcare and mobile-healthcare products. Further advances in the sensor design, system design and signal processing can increase the range of the measurement and quality of the rate-finding for broadening the potential application areas of this technology.

Keywords

References

  1. Misook Sohn, Dongwon Hahn, Jeonwoo Lee, 'The Strategy Development of u-Health Service' PICMET 2006 Proceedings, 9-13 July, 2006
  2. Joanna Briggs Institute, 'Vital Sign', Volume 3, Issue 3, 1999
  3. S. H. Nam, T. G. Yim, C. Y. Ryu, S. C. Shin, J. H. Kang, S. Kim, 'The Preliminary Study of Unobtrusive respiratory monitoring for e-health', Proceedings of the 2005 IEEE in Medicine and Biology 27th Annual Conference Shanghai, China, Sep. 2005
  4. Peter Varady, Tamas Micsik, Sandor Benedek, Zoltan Benyo, 'A Nobel Method for the Detection of Apnea and Hypopnea Events in respiration Signals', IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 49, pp. 936-942, Sep. 2002 https://doi.org/10.1109/TBME.2002.802009
  5. Michael Coyle, 'Ambulatory Cardiopulmonary data capture', 2nd Annual Intl. IEEE-EMBS Conf. Microtechnologies in Medicine & Biology, Madison, Wisconsin USA, pp. 297-300, May. 2002
  6. World Health Organization, 'WHO strategy for prevention and control of chronic respiratory diseases', WHOIMNC/CRA, Jan. 2002
  7. H. Saito, M. Nishimura, E. Shibuya, H. Makita, I. Tsujino, K. Miyamoto, and Y. Kawakami, 'Tissue hypoxia in sleep apnea syndrome assessed by uric acid and adenosine,' Chest, vol. 122, no. 5, pp. 1686-1694, 2002 https://doi.org/10.1378/chest.122.5.1686
  8. P. Fathizadeh, W. C. Shoemaker, C. C. J. Wo, and J. Colombo, 'Autonomic activity in trauma patients based on variability of heart rate and respiratory rate,' Critical Care Medicine, Vol.32, no.6, pp.1420-1421, 2004 https://doi.org/10.1097/01.CCM.0000128956.74240.62
  9. John B, West, MD, Ph,D, ' Respiratory Physiology' Williams & Wilkins, 1985
  10. T. Kondo, T. Uhlig, P. Pemberton, P.D. Sly, 'Laser monitoring of chest wall displacement,' Eur Respir J vol. 10, pp 1865 - 1869, 1997 https://doi.org/10.1183/09031936.97.10081865
  11. Xiao, Y. Changzhi Li, and Jenshan 'A Portable Noncontact Heartbeat and Respiration Monitoring System Using 5-GHz Radar,' IEEE SENSORS JOURNAL, VOL. 7, NO.7, JUL. 2007
  12. Uenoyama M, Matsui T, Yamada K, Suzuki S, Takase B, Suzuki S, Ishihara M, Kawakami M 'Non-contact respiratory monitoring system using a ceiling-attached microwave antenna,' Med Bio Eng Comput, vol. 44, pp.835-840, 2006 https://doi.org/10.1007/s11517-006-0091-8
  13. Amy Diane Droitcour, 'Non-contact measurement of heart and respiration rates with a single-cip microwave Doppler Radar,' a Dissertation, Stanford University. June, 2006
  14. Hirooki AOKI and Kohii KOSHIJ.I, 'Non-contact Respiration Monitoring Method for Screening Sleep Respiratory Disturbance Using Slit Light Pattern Projection,' IFMBE Proceedings, World Congress on Medical Physics and Biomedical Engineering 2006, Vol. 2, Track 06, 2006
  15. Fei J, Pavlidis I, 'Analysis of breathing air flow patterns in thermal imaging,' Proceedings of the 28th IEEE EMBS annual international conference, pp. 946-952, 2006
  16. Phil Corbishley and Esther Rodriguez-Villegas, 'Breathing Detection: Towards a Miniaturized, Wearable, Battery-Operated Monitoring System,' IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 55, NO.1, JAN. 2008
  17. Se Dong Min, Dae Joong Yoon, Sung Won Yoon, Yong Hyeon Yun, Myoungho Lee, 'A study on a non-contacting respiration signal monitoring system using Doppler ultrasound' Med Bio Comput. Vol. 45, No. 11, 2007 https://doi.org/10.1007/978-3-540-36841-0
  18. 신재연, 조성필, 장병준, 박호동, 이윤수, 이경중, '도플러 레이더를 이용한 비접촉 방식의 심박 및 호흡 검출에 관한 연구' 전자공학회논문지-SC, vol.1, pp.1-9, 2009
  19. Valentin T. Jordanov, Member, IEEE, Dave L. Hall, Mat. Kastner, 'Digital Peak Detector with Noise Threshold' IEEE Nuclear Science Symposium Conference Record, 2002
  20. D. Pagodinas 'Ultrasonic signal processing methods for detection of defects in composite materials,' ULTRAGARSAS, No. 4 (45). 2002
  21. 김상현, 유동완, 배창석, '웨어러블 헬스 시스템을 위한 가속도 신호를 이용한 PPG 신호의 동잡음 최소화에 관한 연구' 한국정보기술학회 하계종합학술발표논문집, pp. 387-392, 2007
  22. J. M. Bland and D. G. Altman, 'Statistical methods for assessing agreement between two methods of clinical measurement,' Lancet, vol. 1, no. 8476, pp. 307-310, 1986
  23. J. M. Bland and D. G. Altman, 'Comparing methods of measurement: why plotting difference against standard method is misleading,' Lancet, vol. 346, no. 8982, 1085-1087, 1995 https://doi.org/10.1016/S0140-6736(95)91748-9
  24. J. M. Bland and D. G. Altman, 'Measuring agreement in method comparison studies,' Statistical Methods in Medical Research, vol. 8, pp. 135-160, 1999 https://doi.org/10.1191/096228099673819272