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基于扩展Informax ICA的站起想象动作脑电特征提取 被引量:13
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作者 周仲兴 明东 +2 位作者 朱誉环 万柏坤 綦宏志 《仪器仪表学报》 EI CAS CSCD 北大核心 2009年第3期459-464,共6页
下肢想象动作的脑电特征提取是基于脑-机接口技术实现下肢运动神经重建的关键点和难点。通过以下肢运动神经重建的首个关键动作-站起为切入点,设计了相应的以复合动作诱发电位为基础的站起想象动作脑电采集新方案,而后采用扩展最大熵独... 下肢想象动作的脑电特征提取是基于脑-机接口技术实现下肢运动神经重建的关键点和难点。通过以下肢运动神经重建的首个关键动作-站起为切入点,设计了相应的以复合动作诱发电位为基础的站起想象动作脑电采集新方案,而后采用扩展最大熵独立分量分析(extended informax ICA)结合连续小波功率谱分析的新方法提取大脑在站起想象动作时产生的事件相关同步/去同步(ERD/ERS)信息。经实验数据分析证明上述方法行之有效,可以为脑-机接口技术在下肢运动重建中的应用提供有效的手段。 展开更多
关键词 想象动作 运动神经重建 独立分量分析 扩展最大熵 小波功率谱
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Searching for Strange Attractor in Sliver Irregularity Series
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作者 姚杰 钟再敏 +1 位作者 陈人哲 叶国铭 《Journal of Donghua University(English Edition)》 EI CAS 2007年第6期718-722,共5页
The chaotic nonlinear time series method is applied to analyze the sliver irregularity in textile processing.Because it unifies the system's determinacy and randomness,it seems more adaptive to describe the sliver... The chaotic nonlinear time series method is applied to analyze the sliver irregularity in textile processing.Because it unifies the system's determinacy and randomness,it seems more adaptive to describe the sliver irregularity than conventional methods.Firstly,the chaos character,i.e.fractal dimension,positive Lyapunov exponent,and state space parameters,including time delay and reconstruction dimension,are calculated respectively.As a result,a positive Lyapunov exponent and a fractal dimension are obtained,which demonstrates that the system is chaotic in fact.Secondly,both local linear forecast and global forecast models based on the reconstructed state are adopted to predict a segment part of the sliver irregularity series,which proves the validity of this analysis.Therefore,the sliver irregularity series shows the evidence of chaotic phenomena,and thus laying the theoretical foundation for analyzing and modeling the sliver irregularity series by applying the chaos theory,and providing a new way to understand the complexity of the sliver irregularity much better. 展开更多
关键词 sliver irregularity CHAOS state space reconstruction time delay the maximal Lyapunov exponent fractal dimension local linear forecast global forecast neural network
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