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人体传感网络在日常监护中的应用

Body Sensor Network for Daily Healthcare

  • 摘要: 人体传感网络集生物医学工程技术和无线传感器网络于一体, 具有微型化、低功耗、操作简单及使用安全等特点, 可以实时低负荷地对人体进行生理信息和运动信息的监测, 本文主要介绍人体传感网络及在健康监护方面的应用, 如人体姿态获取、跌倒监测、康复训练等。基于自主研发的人体传感器网络, 对偏瘫患者进行步态分析, 临床试验证明其步态与正常人比较有显著差异。

     

    Abstract: Body Sensor Network (BSN) incorporates biomedical engineering technology and wireless sensor network and has characteristics such as miniaturized size, low power consumption, easy and safe operation. It can monitor human physiological information and movement information in real-time and provide versatile vital quantitative information. This paper primarily describes BSN and its application in mobile healthcare, such as human gesture acquisition, fall detection, and recovery training. We also have implemented a body inertial-sensing network for gait analysis of hemiplegic patients.

     

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