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Study on Structure Design and Simulation of Upper-Limb Assist Robot 上肢辅助机器人结构设计与仿真研究
Xiaolei Cao, Hui Li, Zhihong Jiang, Jianning Hua, Peng Sun, Rufen Wang
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引用次数: 0
Trajectory Planning Based on Dual Torque Feedforward Control for Robot Astronaut Safe Movement on Space Station 基于双力矩前馈控制的空间站机器人航天员安全运动轨迹规划
Zhihong Jiang, Jiafeng Xu, Hui Li, Qiang Huang
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引用次数: 0
Feature extraction and optimisation for sleep apnea 睡眠呼吸暂停的特征提取与优化
W. Y. Leong
In this paper, the feature extraction and optimization for sleep apnea is investigated. The electrical activity of the brain along the scalp suffered from sleep apnea using Electroencephalogram (EEG) is addressed. The correlation between the EEG signals was compared to detect the features of sleep apnea. The Empirical Mode Decomposition (EMD) and Bivaiiate were adopted in this project to evaluate the extracted EEG signals. The performance of EMD has greatly improved when the number of samples was decreasing. The segmentation error analyzed in the Event Related Potential (ERP) reflected the occurrence of apnea. The delta power associated to the body autonomous system and homeostasis regulation is due to the drop of oxygen when sleep apnea happened. Using Hilbert Huang Transform, there is energy waveform in low frequencies when an apnea has happened. These can be linked to the delta power which relates to the body autonomous system and homeostasis regulation. The EMD, EEMD and Bivariate methods were compared to show key features linked with apnea for analysis purposes.
本文对睡眠呼吸暂停的特征提取与优化进行了研究。利用脑电图(EEG)对睡眠呼吸暂停患者沿头皮的脑电活动进行了研究。比较脑电图信号之间的相关性,检测睡眠呼吸暂停的特征。本课题采用经验模态分解(EMD)和bivaiate对提取的脑电信号进行评价。随着样本数量的减少,EMD的性能有了很大的提高。事件相关电位(ERP)分析的分割误差反映了呼吸暂停的发生。当睡眠呼吸暂停发生时,与身体自主系统和体内平衡调节有关的δ功率是由于氧气的下降。利用希尔伯特黄变换,得到呼吸暂停发生时的低频能量波形。这些可以与与身体自主系统和体内平衡调节有关的δ能量联系起来。将EMD、EEMD和双变量方法进行比较,以显示与呼吸暂停相关的关键特征,以便进行分析。
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引用次数: 4
Compressive properties of nanoclay/epoxy nanocomposites 纳米粘土/环氧纳米复合材料的压缩性能
A. Jumahat, Constantinos Soutis, J. Mahmud, N. Ahmad
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引用次数: 72
期刊
... International Symposium on Medical Robotics. International Symposium on Medical Robotics
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