디지털융복합연구 (Journal of Digital Convergence)

  • 제14권3호
  • /
  • Pages.261-267
  • /
  • 2016
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
권호 표지
DOI QR코드

DOI QR Code

위치 추적 센서 기반의 IOT 헬스케어 서비스 관리 모델

An Efficient IoT Healthcare Service Management Model of Location Tracking Sensor

  • 정윤수 (목원대학교 정보통신융합공학부)
  • Jeong, Yoon-Su (Dept. of Information Communication & Engineeringe, Mokwon University)
  • 투고 : 2016.01.21
  • 심사 : 2016.03.20
  • 발행 : 2016.03.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

전 세계적으로 사물인터넷(IoT) 기술이 주목을 받으면서 사물 인터넷 기반의 헬스케어, 스마트 시티, 농업, 국방 등의 다양한 서비스 개발이 진행되고 있다. 그러나, IoT를 적용한 헬스케어 서비스는 환자의 생체정보가 제3자에게 유출되어 환자의 생명을 위협하는 상황이 발생할 수 있는 문제가 존재한다. 본 논문에서는 사물 인터넷 기반의 헬스케어 서비스를 제공받는 환자의 생체정보를 제3자에게 유출되지 않으면서 센싱된 데이터 및 자원을 이용하여 치료/행정 처리의 시간 및 절차를 간소화하기 위한 위치추적 센서 기반의 IoT 헬스케어 서비스 관리 모델을 제안한다. 제안 모델은 환자의 위치 정보를 이용하여 병원내 의료진들이 환자의 위치를 실시간으로 확인하고 응급상황이 발생했을 경우에도 신속하게 대응할 수 있다. 또한, 병원 내 의료장비에도 위치추적 센서를 부착해 치료에 필요한 장비들의 위치도 즉각적으로 확인 가능하기 때문에 의료서비스의 시간 및 절차를 최소화할 수 있는 장점이 있다.

As IoT technology has gained the attention all around the world, the development for various services of healthcare, smart city, agriculture, and defense based on IoT is in progress. However, it is likely that healthcare services based on IoT have a problem of being leaked of patients' biological information by a third party and that risks patients' lives. In this paper, an IoT health care service managing model based on location sensor is proposed, which secures the biological information of a patient and simplifies the procedure to process the treatment and administration steps by using the data resources sensed. Even when an emergency occurs, this proposed model can respond quickly using the location information of the patient, which enables the staff in the hospital to locate the patient in real time. In addition, there is an advantage to minimize the time and the process of care, because the location of the equipment for necessary treatment is possible to be instantaneously located with attached sensors.

키워드

참고문헌

  1. T. Y. Kim, S. K. Y. J. J. Jung and E. J. Kim, "Multi-Hop WBAN Construction for Healthcare IoT Systems", 2015 International Platform Technology and Service(PlatCon), pp. 27-28, Jan. 2015.
  2. S. Amendola, R. Lodato, S. Manzari, C. Occhiuzzi and g. Marrocco, "RFID Technology for IoT-Based Personal Healthcare in Smart Spaces", IEEE Internet of Things Journal, vol. 1, no. 2, pp. 144-152, 2014. https://doi.org/10.1109/JIOT.2014.2313981
  3. C. Doukas and I. Maglogiannis, "Bringing IoT and Cloud Computing towards Pervasive Healthcare", 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp.922-926, July. 2014.
  4. B. Zhang, X. W. Wang, M. Huang, "A data replica placement scheme for cloud storage under healthcare IoT environment", 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 542-547, Aug. 2014.
  5. L. Catarinucci, D. De Donno, L. Mainetti, L. Palano, L. Patrono, M. L. Stefanizzi and L. Tarricone, "An IoT-Aware Architecture for Smart Healthcare Systems", IEEE Internet of Things Journal, vol. 2, no. 6, pp. 515-526, 2015. https://doi.org/10.1109/JIOT.2015.2417684
  6. S. R. Anurag, A -M Rahmani Moosavi. T. Westerlund, Y. Gene, P. Liljeberg and H. tenhunen, "Pervasive health monitoring based on Internet of Things: Two case studies", 2014 EAI 4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth), pp 275-278, Nov. 2014.
  7. X. Shen, "Emerging technologies for e-healthcare". IEEE Journals & Managines Network, vol. 26, no. 5, pp. 2-3, 2012. https://doi.org/10.1109/MNET.2012.6375885
  8. A. Burns, B. R. Greene, M. J. McGrath, T. J. O'Shea, B. Kuris, S. M. Ayer, F. Stroiescu, and V. Cionca, "SHIMMERTM - A Wireless Sensor Platform for Noninvasive Biomedical Research," IEEE Sens. J., vol. 10, no. 9, pp. 1527-1534,2010. https://doi.org/10.1109/JSEN.2010.2045498
  9. V. Shnayder, B. Chen, K. Lorincz, T. R. F. F. Jones, and M. Welsh, "Sensor networks for medical care," Proc. 3rd Int. Conf. Embed. networked Sens. Syst. SenSys OS, no. June, p. 314,2005.
  10. A. T. Barth, M. a. Hanson, H. C. Powell, and J. Lach, 'TEMPO 3.1: A body area sensor network platform for continuous movement assessment," Proc. - 2009 6th Int. Work. Wearable Implant. Body Sens. Networks, BSN 2009, pp. 71-76, 2009.
  11. IPSO, http://www.ipso-alliance.org/
  12. Z. Shelby, K. Hartke, C. Bormann, The Constrained Application Protocol (CoAP), IETF RFC 7252, June 2014.
  13. oneM2M Functional Architecture Specification V0.6.1(Draft), oneM2M.
  14. OMA-TS-DM_Protocol-V2_0 "OMA Device Management Protocol", Open Mobile Alliance.
  15. B. G. Ahn, Y. H. Noh and D. U. Jeong, "Smart chair based on multi heart rate detection system", 2015 IEEE SENSORS, pp. 1-4, Nov. 2015.
  16. Hyojik Lee, Onechul Na, Soyoung Sung, Hangbae Chang, "A Design on Security Governance Framework for Industry Convergence Environment", Journal of the Korea Convergence Society, Vol. 6, No. 4, pp. 33-40, 2015. https://doi.org/10.15207/JKCS.2015.6.4.033
  17. MyounJae Lee, "A Game Design for IoT environment", Journal of the Korea Convergence Society, Vol. 6, No. 4, pp. 133-138, 2015. https://doi.org/10.15207/JKCS.2015.6.4.133

피인용 문헌

  1. Development of GPS based Self Triage App for Disaster Vulnerable Populations vol.24, pp.3, 2017, https://doi.org/10.7739/jkafn.2017.24.3.230