文献知网节
  • 记笔记
摘要:This paper aims to propose a sleep and wake classification approach based on Belief Rule-Based(BRB)systems(called BRB classifier) to address the challenge of daily personal sleep monitoring at home.The BRB classifier infers sleep and wake states with two signals,pulse oxygen saturation and heart rate which can be obtained from wearable devices.The actual sleep datasets collected by Sleep Heart Health Study group are investigated to testify the efficiency of BRB classifier.In this case study,several experiments are conducted to determine the settings of BRB systems.By comparing with Linear Discriminate classifier and Neural Network classifier,the proposed BRB classifier has shown superior performance in sleep/wake classification with pulse oxygen saturation and heart rate.
会议名称:

第29届中国控制与决策会议

会议时间:

2017-05-28

会议地点:

中国重庆

  • 专辑:

    医药卫生科技

  • 专题:

    临床医学

  • 分类号:

    R740

  • 手机阅读
    即刻使用手机阅读
    第一步

    扫描二维码下载

    "移动知网-全球学术快报"客户端

    第二步

    打开“全球学术快报”

    点击首页左上角的扫描图标

    第三步

    扫描二维码

    手机同步阅读本篇文献

  • CAJ下载
  • PDF下载

下载手机APP用APP扫此码同步阅读该篇文章

下载:7 页码:1317-1322 页数:6 大小:1981k

引文网络
  • 参考文献
  • 引证文献
  • 共引文献
  • 同被引文献
  • 二级参考文献
  • 二级引证文献
  • 批量下载
相关推荐
  • 相似文献
  • 读者推荐
  • 相关基金文献
  • 相关法规
  • 关联作者
  • 相关视频