DOI QR코드

DOI QR Code

비접촉 생체신호 측정 기반 헬스케어 시스템 설계 및 구현

Design and Implementation of Healthcare System Based on Non-Contact Biosignal Measurement

  • 투고 : 2019.12.10
  • 심사 : 2020.02.15
  • 발행 : 2020.02.29

초록

급격한 노령화가 의료 시설의 부족과 이로 인한 국민 건강의 질적 하락을 가져올 가능성이 점차 높아지고 있으며 의료비 상승의 부담을 해소하기 위해 선진국에서는 서비스 단가를 낮추기 위한 의료 기관들의 원격의료가 확대되고 있는 추세이다. 유헬스케어는 인체에서 발생하는 물리적, 화학적 현상의 변화를 감지하여 처리 가능한 전기적 신호로 변환하고 측정된 신호 중에서 원하는 정보만을 선택하기 위한 분석과정, 시각화 과정을 통해 결과를 피드백하여 관련정보, 경고, 알람 등을 사용자에게 제공하는 과정을 통해 서비스되고 있다. 하지만 센서를 신체에 직접 부착하는 전통적인 생체계측 방법은 일상생활에 불편을 주고 거부감이 발생할 수 있다. 따라서 일상생활에 불편함을 주지 않고 지속적으로 생체 정보를 측정할 수 있는 방법이 필요하다. 본 논문에서는 일상생활에 불편을 주지 않고 지속적으로 생체정보를 모니터링 할 수 있는 IR-UWB 기반의 비접촉. 무구속적인 호흡측정 시스템을 제안한다.

The rapid aging is increasing as the shortage of medical facilities and the resulting of decline in the quality of public health. In order to ease the burden of rising medical expenses, advanced medical institutions are expanding their remote medical care to lower the cost of services. U-healthcare detects the changes in physical and chemical phenomena occurring in the human body and converts them into electrical signals that can be processed and feeds back to the results through analytical and visualization processes to select only the desired information from the measured signals. The service is provided through a process of providing an alarm to a user. However, traditional biometric methods of attaching sensors directly to the body can be annoying and rejected in daily life. Therefore, there is a need for a method of continuously measuring biometric information without causing inconvenience to daily life. In this paper, we propose an IR-UWB-based non-contact and non-responsive respiratory measurement system that can continuously monitor biological information without any inconveniences to daily life.

키워드

참고문헌

  1. J. C. Y. Lai, Y. Xu, E. Gunawan, E. C-P. Chua, A. Maskooki, Y. L. Guan, K-S. Low, C. B. Soh, and C-L Poh, "Wireless Sensing of Human Respiratory Parameters by Low-Power Ultrawideband Impulse Radio Radar," IEEE Transaction on instrumentation and measurement, vol. 60, no. 3, Mar. 2011, pp. 928-923. https://doi.org/10.1109/TIM.2010.2064370
  2. I. Immoreev and P.G.S.D. Fedotov, "Ultra wideband radar systems: advantages and disadvantages," In Proc. of the IEEE conf. on Ultra Wideband Systems and Technologies. Digest of Paper, Baltimore, USA, May 2002, pp. 201-205.
  3. K. Ota, Y. Ota, M. Otsu, and A. Kajiwara, "Elderly-Care Motion Sensor Using UWB-IR," Sensors Applications Symposium(SAS), 2011, pp. 159-162.
  4. I. Baek, J. Kim, and S. Cho, "Clutter signal subtraction algorithm for detecting target in IR-UWB Radar system," 2012 Korea Information and Communications Society Conference, Yeosu, South Korea, Apr. 2012, pp. 338-339.
  5. J.-M. Kang, D.-W Lim, J.-H. Lee, C. In, H.-M. Kim, S.-C. Woo, and C. Kim, "Reliable estimation of respiration rate using UWB impulse radar," Proc. 2013 Asia-Pacific Microwave Conf., Seoul, South Korea, Nov. 2013, pp. 997-999.
  6. A. Q. Javaid, C. M. Noble, R. Rosenberg, and M. A. Weitnauer, "Towards sleep apnea screening with an under-the-mattress IR-UWB radar using machine learning," Proc. IEEE Int. Conf. on Machine Learning and Applications, Miami, USA, Dec. 2015, pp. 837-842.
  7. S. Kim and J. Song, "Miniaturized UWB BPF design that is applicable to Ultrafast Wireless Communication Systems," Journal of the Korea institute of electronic communication sciences, vol. 5, no. 6, 2010, pp. 620-624.
  8. J. Sim, "A MAC Design for Collision Avoidance in Wireless USB Home Networks," Journal of the Korea institute of electronic communication sciences, vol. 8, no. 1, 2013, pp. 55-64. https://doi.org/10.13067/JKIECS.2013.8.1.055
  9. H. Lee and J. Oh, "Design and Implementation of Non-contact IoT Ringer Replacement Automatic Notification System," Journal of the Korea institute of electronic communication sciences, vol. 13, no. 6, 2018, pp. 1405-1410. https://doi.org/10.13067/JKIECS.2018.13.6.1405
  10. G. Fedele, E. Pittella, S. Pisa, M. Cavagnaro, R. Canali, and M. Biagi, "Sleep-apnea detection with UWB active sensors," Proc. IEEE Int. Conf. on Ultra-Wideband, Montreal, Canada, Oct. 2015, pp. 1-5.
  11. J. Choi, Y. Lee, S. Cho, Y.-H. Lim, and S. Cho, "Sleep Efficiency Measurement Algorithm Using an IR-UWB Radar Sensor," Journal of The Korean Institute of Communication Sciences, vol. 42, no. 1, 2017, pp. 214-217. https://doi.org/10.7840/kics.2017.42.1.214
  12. H. Park, "Respiration Rate Estimation using IR-UWB Radar Signals Robust to Body-Rocking," Journal of the Institute of Electronics and Information Engineers, vol. 49, no. 9, 2012, pp. 49-54. https://doi.org/10.5573/ieek.2012.49.9.049