| 基于小波包变换的肌电信号特征提取 |
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| 引用本文： | 石君,周美娇,朱正平,傅志中.基于小波包变换的肌电信号特征提取[J].微计算机信息,2010(7). |
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| 作者姓名： | 石君 周美娇 朱正平 傅志中 |
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| 作者单位： | 上海理工大学光电信息与计算机工程学院; |
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| 摘 要： | 本文提出一种新的基于小波包变换的特征提取方法,提取表面肌电信号进行小波包变换后得到的信号的协方差矩阵的特征值的最大值作为特征值。利用该方法对表面肌电信号提取特征值构建特征矢量,送入Elman神经网络对手部6种动作模式进行识别,在Matlab平台上进行实验仿真。实验结果表明,该方法取得了很好的识别效果。
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| 关 键 词： | 小波包变换 特征提取 表面肌电信号 Elman神经网络 |
Feature Extraction of Surface Electromyogram Based on Wavelet Packet Transformation |
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| SHI Jun ZHOU Mei-jiao ZHU Zheng-ping FU Zhi-zhong.Feature Extraction of Surface Electromyogram Based on Wavelet Packet Transformation[J].Control & Automation,2010(7). |
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| Authors: | SHI Jun ZHOU Mei-jiao ZHU Zheng-ping FU Zhi-zhong |
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| Affiliation: | SHI Jun ZHOU Mei-jiao ZHU Zheng-ping FU Zhi-zhong(School of Optical-Electrical , Computer Engineering,University Of Shanghai for Science , Technology,Shanghai 200093,China) |
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| Abstract: | This paper proposed a new method of Feature Extraction based on Wavelet Packet Transformation,it used the maxium of eignvalue of the covariance matrix of the signals obtained from the Wavelet Packet Transformation of Surface Electromyogram as the feature value.Using the method to extract the feature value of Surface Electromyogram and constructed feature vectors,then we sent them into the Elman Neutral Network to identify 6 motion patterns of hand,and finished the simulational experiment on the Matlab platf... |
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| Keywords: | Wavelet Packet Transformation Feature Extraction Surface Electromyo-gram Elman Neutral Network |
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