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Impact of feature extraction techniques on classification accuracy for EMG based ankle joint movements

机译：特征提取技术对基于EMG基于踝关节运动的分类精度的影响

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Maged S. Al-Quraishi; Asnor J. Ishak; Siti A. Ahmad; Mohd K. Hasan;
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年度 2015
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1. Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on LS-SVM in EMG motion classification [J] . YAN Zhi-guo, WANG Zhi-zhong, REN Xiao-mei Journal of Zhejiang University . 2007,第8期

机译：基于EMD-AR策略的特征提取与基于LS-SVM的多分类器在肌电运动分类中的联合应用
2. Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on LS-SVM in EMG motion classification [J] . YAN Zhi-guo, WANG Zhi-zhong, REN Xiao-mei Journal of Zhejiang University. Science, A . 2007,第8期

机译：基于EMD-AR策略的特征提取与基于LS-SVM的多分类器在肌电运动分类中的联合应用
3. Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on LS-SVM in EMG motion classification [J] . YAN Zhi-guo, WANG Zhi-zhong, REN Xiao-mei Journal of Zhejiang University. Science, A . 2007,第8期

机译：基于EMD-AR策略和多级分类的特征提取的联合应用基于LS-SVM在EMG运动分类中的基于LS-SVM
4. Impact of feature extraction techniques on classification accuracy for EMG based ankle joint movements [C] . Al-Quraishi Maged S., Ishak Asnor J., Ahmad Siti A., Asian Control Conference . 2015

机译：特征提取技术对基于EMG的踝关节运动分类准确性的影响
5. A computer graphics based model of the cat head and neck used to examine joint movement, moment generating potential and EMG patterns in voluntary head and neck movements. [D] . Statler, Kennyn Don, II. 2001

机译：一种基于计算机图形学的猫头和脖子模型，用于检查关节和运动，并在自愿的头和脖子运动中产生力矩并产生EMG模式。
6. SEMG Feature Extraction Based on Stockwell Transform Improves Hand Movement Recognition Accuracy [O] . Haotian She, Jinying Zhu, Ye Tian, 2019

机译：基于Stockwell变换的SEMG特征提取提高了手部动作识别的准确性
7. Comparison of sEMG-Based Feature Extraction and Motion Classification Methods for Upper-Limb Movement [O] . Shuxiang Guo, Muye Pang, Baofeng Gao, 2015

机译：基于sEmG的上肢运动特征提取与运动分类方法的比较

Impact of feature extraction techniques on classification accuracy for EMG based ankle joint movements

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