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A Study on Monitoring of Bio-Signal for u-Health System

u-Health System을 위한 생체신호 모니터링에 관한 연구

  • Han, Young-Hwan (School of Computer, Information and Communication Eng., Sangji University)
  • 한영환 (상지대학교 컴퓨터정보공학부)
  • Received : 2011.02.09
  • Accepted : 2011.02.21
  • Published : 2011.03.31

Abstract

U-healthcare system has an aim to provide reliable and fast medical services for patient regardless of time and space by transmitting to doctors a large quantity of vital signs collected from sensor networks. Existing u-healthcare systems can merely monitoring patients' health status. In this paper, we describe the implementation and validation of a prototype of a u-health monitoring system based on a wireless sensor network. This system is easy to derive physiologically meaningful results by analyzing rapidly vital signs. The monitoring system sends only the abnormal data of examinee to the service provider. This technique can reduces the wireless data packet overload between a monitoring part and service provider. The real-time bio-signal monitoring system makes possible to implement u-health services and improving efficiency of medical services.

u-healthcare 시스템은 센서 네트워크로부터 수집된 대량의 생체신호를 신속히 처리 분석하여 의료진에게 전달함으로써 시간과 장소에 관계없이 환자에게 적절한 의료 서비스를 제공할 수 있다. 현존하는 u-healthcare 시스템들은 단지 환자의 건강 상태만을 모니터링 한다. 본 논문에서는 무선 센서네트워크에 기반한 u-health 모니터링의 프로토타입을 구현하고 검증하였다. 이 시스템은 수집된 생체 신호를 신속히 분석하여 의학적으로 의미 있는 결과를 도출하는 것이 용이하다. 이 모니터링 시스템은 피검자의 이상 데이터 수집 시에만 서비스 제공자에게 데이터를 전송한다. 이러한 방법은 모니터링부와 서비스 제공자사이의 무선 데이터 패킷의 부하를 줄일 수 있다. 실시간 생체 신호 모니터링 시스템을 구현함으로 유-헬스 서비스가 가능하게 되고 의료서비스의 효율성을 향상시킨다.

Keywords

References

  1. S. H. Kim, "Bio-Signal Monitoring Technique for u-Health," Infomation and Commnications Magazine, Vol. 26, No.8, pp. 3-7, 2009.
  2. J. Y. Shin, "U-Healthcare Service on User Experience," Weekly Trends, National IT Industry Promotion Agency, Vol. 1462, pp. 29-37, 2010.9.8
  3. Hak Jong Lee et al, "Ubiquitous healthcare service using Zigbee and mobile phone for elderly patients," International Journal of Medical Informatics, 78, pp. 193-198, 2009. https://doi.org/10.1016/j.ijmedinf.2008.07.005
  4. J.H. Shin, et al "Ubiquitous House and Unconstrained Monitoring Devices for Home Healthcare System," Information Technology Applications in Biomedicine, ITAB 2007. 6th International Special Topic Conference, pp. 201-204, 2007.
  5. Special Topics on u-Health, Korea Information Processing Society Review, Vol. 15, No.1, 2008.1.
  6. Se-Jin Oh and Chae-Woo Lee, "u-Healthcare Sensor Grid Gateway for Connecting Wireless Sensor Network and Grid Network," 2008 ICACT, pp. 827-831, Feb, 2008.
  7. Marco Messina, Frank Kargl et al, "Implementing and Validating an Environ mental and Health Monitoring System," Fifth International Conference on Information Technology: New Generations, pp. 994-999, Apr. 2008.
  8. Insung Jung, and Gi-Nam Wang, "User Pattern Learning Algorithm based MDSS(Medical Decision Support System) Framework under Ubiquitous," International Journal of Computer Science and Engineering 2;2, pp. 71-75, 2008.
  9. M. S. Sohn, "Wearable Systems for u-Health Service," Electronics and Telecommunications Trends, Vol. 21, No. 3, pp. 117-122, Jun. 2006.
  10. I. Korhonen, J. Parka, and M.V. Gils, "Health Monitoring in the Home of the Future," IEEE Engineering in Medicine and Biology Magazine, pp.66-73, 2003.

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