| 基于排列组合熵的表面肌电信号特征分析 |
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| 引用本文： | 袁明,罗志增. 基于排列组合熵的表面肌电信号特征分析[J]. 杭州电子科技大学学报, 2012, 0(1): 64-67 |
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| 作者姓名： | 袁明 罗志增 |
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| 作者单位： | 杭州电子科技大学智能控制与机器人研究所,浙江杭州310018 |
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| 基金项目： | 国家自然科学基金资助项目（60874102）; 国家863资助项目（AA04Z212） |
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| 摘 要： | 针对表面肌电信号的混沌特征、噪声强等特点,该文提出了基于排列组合熵的表面肌电信号特征分析方法。用肌电信号的相邻数据复杂度计算出排列组合熵,以尺侧腕伸肌和尺侧腕屈肌两路肌电信号对应的排列组合熵构成特征向量,对腕上翻、腕下翻、展拳和握拳四种动作信号进行区分,具有良好的区分度。
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| 关 键 词： | 表面肌电信号 排列组合熵 特征分析 |
Feature Analysis of SEMG Based on Permutation Entropy |
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| YUAN Ming,LUO Zhi-zeng. Feature Analysis of SEMG Based on Permutation Entropy[J]. Journal of Hangzhou Dianzi University, 2012, 0(1): 64-67 |
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| Authors: | YUAN Ming LUO Zhi-zeng |
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| Affiliation: | (Institute of Robot Research,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China) |
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| Abstract: | according to surface electromyography signal（SEMG） features with chaotic,noise characteristics,a analysis method of SEMG features based on permutation entropy is proposed.The paper uses SEMG data with the complexity of the adjacent to calculate permutation entropy,permutation entropy which corresponding two SEMG of the extensor carpi ulnaris and flexor carpi ulnaris constitute the feature vector,distinguish four actions（wrist flection,wrist extension,release and grasp）,achieves a good discrimination. |
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| Keywords: | surface electromyography signal permutation entropy feature analysis |
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