• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on >Sleep-Stage Decision Algorithm by Using Heartbeat and Body-Movement Signals
【24h】

Sleep-Stage Decision Algorithm by Using Heartbeat and Body-Movement Signals

机译：利用心跳和身体运动信号的睡眠阶段决策算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper describes a noninvasive algorithm to estimate the sleep stages used in the Rechtschaffen and Kales method (R–K method). The heartbeat and body-movement signals measured by the noninvasive pneumatic method are used to estimate the sleep stages instead of using the Eletroencephalogram and Electromyography in the R–K method. From the noninvasive measurements, we defined two indices that indicate the condition of REM sleep and the sleep depth. Functions to obtain the incidence ratio and the standard deviation of the extracted elements for each sleep stage were also determined, for each age group of the subjects. Using these indices and functions, an algorithm to classify the subjects' sleep stages was proposed. The mean agreement ratios between the sleep stages' data obtained from the proposed method and those from the de facto standard R–K method, for the stages categorized into six, five, and three, were 51.6%, 56.2%, and 77.5%, and their corresponding mean values of kappa statistics were 0.29, 0.39, and 0.48, respectively. The proposed method shows closer agreement with the result of R–K method than the similar noninvasive method presented earlier.
机译：本文介绍了一种非侵入性算法来估计Rechtschaffen和Kales方法（RK方法）中使用的睡眠阶段。通过无创气动方法测量的心跳和身体运动信号用于估计睡眠阶段，而不是在R–K方法中使用脑电图和肌电图。通过非侵入性测量，我们定义了两个指标，分别指示REM睡眠状况和睡眠深度。对于受试者的每个年龄组，还确定了获得每个睡眠阶段提取元素的发生率和标准偏差的函数。利用这些指标和函数，提出了一种对受试者睡眠阶段进行分类的算法。从提议的方法获得的睡眠阶段数据与从事实上的标准R–K方法获得的睡眠阶段数据之间的平均一致性比率分别为6、5和3，分别为51.6％，56.2％和77.5％，其对应的κ统计平均值分别为0.29、0.39和0.48。与先前提出的类似非侵入性方法相比，所提出的方法与R–K方法的结果显示出更接近的一致性。

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