...
首页> 外文期刊>International Journal of Services Technology and Management >A multi-modal health data fusion and analysis method based on body sensor network
【24h】

A multi-modal health data fusion and analysis method based on body sensor network

机译:基于人体传感器网络的多模式健康数据融合与分析方法

获取原文
获取原文并翻译 | 示例
           

摘要

As an important branch of wireless sensor network (WSN) in biomedical field, body sensor network (BSN) could remotely monitor a variety of human health data in real time by means of energy-saving and high-accuracy sensor technology. We proposed a multi-modal health data fusion and analysis method based on the data collected from BSN. Single-modal Holter monitoring and multi-modal health monitoring were performed on 60 patients with confirmed heart disease and proved that the proposed method could effectively improve the detection rate of asymptomatic myocardial ischemia and provide a new auxiliary judgment method for clinical application. Aiming at the requirement of privacy preserving in the data fusion process of wireless body sensor network, a new SMART-RR algorithm was proposed. Simulation results showed that MART-RR was an energy-saving privacy preserving data fusion algorithm with small data communications, high privacy protection and accuracy.
机译:作为生物医学领域无线传感器网络(WSN)的重要分支,人体传感器网络(BSN)可以通过节能和高精度传感器技术实时远程监视各种人类健康数据。我们基于从BSN收集的数据,提出了一种多模式健康数据融合和分析方法。对60例确诊的心脏病患者进行了单模式动态心电图监测和多模式健康监测,证明了该方法可以有效提高无症状心肌缺血的检出率,为临床应用提供新的辅助判断方法。针对无线人体传感器网络数据融合过程中隐私保护的需求,提出了一种新的SMART-RR算法。仿真结果表明,MART-RR是一种节能的隐私保护数据融合算法,具有数据通信量小,隐私保护高,准确性高的特点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号