DOI QR코드

DOI QR Code

A Study on the Sensor Node Based Wireless Network Communication System for Efficient EEG Transmission

효율적인 EEG 전송을 위한 센서노드기반의 무선통신시스템에 관한 연구

  • 조준모 (동명대학교 공과대학 전자공학과)
  • Received : 2013.04.05
  • Accepted : 2013.05.20
  • Published : 2013.05.31

Abstract

Advent of the brain wave health care system is considered as an important issues in the industrial and research area in these days. It is necessary to detect EEG signals in real-time in order to support the medical emergency service for the epileptic or brain infarct patients. Since the efficient network support is an essential factor for the system, several topologies using sensor node based wireless body area network is suggested and simulated in this paper. Finally the Opnet simulation result is evaluated for the efficient topology of the body area network.

뇌파 건강관리 시스템의 태동은 산업과 연구분야에서 요즘 중요한 쟁점으로 여겨지고 있다. 실시간으로 간질병이나 뇌경색의 환자들의 의료응급서비스를 지원하기 위해서는 EEG신호 감지가 필수적이다. 이러한 시스템을 위하여 효과적인 네트워크를 지원하는 것이 필수적이기 때문에 센서노드 기반의 무선통신 토폴로지를 제안하며 시뮬레이트한다. 마지막으로 이러한 네트워크의 효과적인 토폴로지를 위하여 옵넷 시뮬레이터의 결과를 평가한다.

Keywords

References

  1. Fei Hu, Meng Jiang, Laura Celentano, Yang Xiao, "Robust medical ad hoc sensor networks (MASN) with wavelet-based ECG data mining", Ad hoc networks 6, Elsevier, pp. 986-1012, 2008
  2. Mehmet R. Yuce, "Implementation of wireless body area networks for healthcare systems", Sensors and Actuators, Elsevier, pp. 116-129, 2010
  3. Sung-Hwan Bae, Ik-Hyun Lim, "A Study on 3G Networked Pulse Measurement System Using Optical Sensor", The Journal of the Korea Institute of Electronic Communication Sciences, Vol. 7, No. 6, pp. 1555-1560, 2012.
  4. Kwan-woong Kim, et al., "An Improved Message Broadcast Scheme over Wireless Sensor Networks", The Journal of the Korea Institute of Electronic Communication Sciences, Vol. 5, No. 6, pp. 588-594, 2010.
  5. Na-yeon Park, Cheol-su Son, Won-jung Kim, "The Efficient Computation of Node Position on Mobile Sensor Network", The Journal of the Korea Institute of Electronic Communication Sciences, Vol. 5, No. 4, pp. 391-398, 2010.
  6. Ilker Demirkol, Cem Ersoy, Fatih Alagoz, Hakan Delic, "The impact of a realistic packet traffic model on the performance of surveillance wireless sensor networks", Computer Networks 53, pp. 382-399, 2009 https://doi.org/10.1016/j.comnet.2008.10.021
  7. Hande Alemdar, Cem Ersoy, "Wireless sensor networks for healthcare : A survey", Computer Networks, Elsevier, pp. 2688-2710, 2010
  8. Nuno Sergio Diasa,b, Joao Paulo Carmoc, Paulo Mateus Mendesc, Jose Higino Correiac, "Wireless instrumentation system based on dry electrodes for acquiring EEG signals", Medical Engineering & Physics 34, pp. 972-981, 2012 https://doi.org/10.1016/j.medengphy.2011.11.002
  9. http://en.wikipedia.org/wiki/Brainwave