| 基于多尺度Lempel-Ziv复杂度的运动想象脑电信号特征分析 |
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| 引用本文： | 罗志增,曹铭.基于多尺度Lempel-Ziv复杂度的运动想象脑电信号特征分析[J].传感技术学报,2011,24(7):1033-1037. |
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| 作者姓名： | 罗志增 曹铭 |
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| 作者单位： | 杭州电子科技大学机器人研究所,杭州,310018 |
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| 摘 要： | 运动想象脑电信号特征提取是脑机接口研究领域的重要问题,提出一种基于多尺度Lempel-Ziv复杂度的运动想象脑电信号特征提取算法.该算法是传统二值化Lempel-Ziv复杂度算法的改进,它将脑电信号分成多个不同幅值范围的区域,根据信号在各区域间的上升和下降趋势,对脑电信号进行二值化处理得到Lempel-Ziv复杂度.本...
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| 关 键 词： | 脑电信号 运动想象 多尺度Lempel-Ziv复杂度 |
EEG Feature Analysis of Motor Imagery Based on Lempel-Ziv Complexity at Multi-scale |
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| LUO Zhizeng,CAO Ming.EEG Feature Analysis of Motor Imagery Based on Lempel-Ziv Complexity at Multi-scale[J].Journal of Transduction Technology,2011,24(7):1033-1037. |
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| Authors: | LUO Zhizeng CAO Ming |
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| Affiliation: | LUO Zhizeng,CAO Ming(Robot Research Institute,Hangzhou Dianzi University,Hangzhou 310018,China) |
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| Abstract: | Electroencephalogram(EEG)feature extraction of motor imagery is an important issue in the field of brain-computer interfaces.In this paper,an algorithm of EEG feature extraction of motor imagery based on Lempel-Ziv complexity at multi-scale is put forward.This algorithm is the improvement compared to that of the traditional binary quantification Lempel-Ziv complexity,while it divides the EEG into several areas with different amplitude.The Lempel-Ziv complexity can be obtained from the binary quantification ... |
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| Keywords: | EEG motor imagery Lempel-Ziv complexity at multi-scale |
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