期刊文献+

身体传感器网络BSN关键技术的研究 被引量:4

Study on Key Technologies of Body Sensor Network
下载PDF
导出
摘要 身体传感器网络BSN是一种应用于生物医疗领域的公众应用网络,BSN通过智能信息处理、数据融合等技术提高医疗健康监护系统的水平,日益受到研究人员的关注。该文着重介绍了BSN领域的系统架构、无线通信、轻量级通信协议以及环境感知等技术,讨论了BSN的未来发展及前景。虽然BSN仍然处于开发的初始阶段,但结合各种技术的快速发展,必将成为未来医疗监护系统的发展趋势。 Body sensor network is a public application network using for biomedical field.Using intelligent information processing and data fusion technology and others,BSN improves the medical health monitor system,so it attracts researchers' attention.This article focuses on the sensor system architecture,wireless communication,lightweight communication protocols and context-aware sensing of BSN.It discussed the future development and prospect about BSN.Though BSN is still in the initial developing stage,advanced with all kind of technologies,it must become a trend of future medical monitor system.
机构地区 重庆邮电大学
出处 《电子质量》 2011年第1期6-8,共3页 Electronics Quality
关键词 身体传感器网络 无线通信 轻量级 环境感知 BSN wireless communication lightweight context-aware
  • 相关文献

参考文献12

二级参考文献101

共引文献810

同被引文献35

  • 1龙承志.基于无线传感器网络的电子健康监护系统[J].中外医疗,2007,26(18):46-47. 被引量:3
  • 2滕晓菲,张元亭.移动医疗:穿戴式医疗仪器的发展趋势[J].中国医疗器械杂志,2006,30(5):330-340. 被引量:84
  • 3吕玲春,韦铁民.血压测量的进展[J].心脑血管病防治,2006,6(5):325-327. 被引量:11
  • 4R. S. H. lstepanian, E. Jovanov, Y. T. Zhang. Guest editorial introduction to the special section on m-health: Beyond seamless mobility and global wireless health-care connectivity[J]. IEEE Transactions on. Information Technology in Biomedicine, 2004, 8(4): 405-414. 被引量:1
  • 5蒋磊,陈伟建.应用于BSN中的人体生理参数的密码学特性分析[J].先进技术研究通报,2009,3(4):32-34. 被引量:2
  • 6N. Gershenfeld, R. Krikorian, D. Cohen. The lntemet of Things[J]. Scientific American,2004, 291 (4): 76-81. 被引量:1
  • 7B. Lo, S. Thiemjarus, R. King, et al. Body sensor network a wireless sensor platform for pervasive healthcare monitoring[A]. Adjunct Proceedings of the 3rd International Conference on Pervasive Computing[C], 2005, 77-80. 被引量:1
  • 8M. Kikuya, A. Hozawa, T. Ohokubo, et al. Prognostic significance of blood pressure and heart rate variabilities: the Ohasama study[J]. Hypertension, 2000, 36(5): 901-906. 被引量:1
  • 9L. M. Ruilope. Normotension, blood pressure variability and early target organ damage[J]. Hypertension Research, 2011, 34(10): 1075-1075. 被引量:1
  • 10C. Otto, A. Milenkovic, C. Sanders, et al. System architecture of a wireless body area sensor network for ubiquitous health monitoring[J]. Journal of Mobile Multimedia, 2006, 1(4): 307-326. 被引量:1

引证文献4

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部