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Wavelet Packet Feature Assessment for High-density Myoelectric Pattern Recognition and Channel Selection toward Stroke Rehabilitation

机译：高密度肌电模式识别的小波包特征评估及脑卒中康复的通道选择

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Dongqing Wang; Xu Zhang; Xiaoping Gao; Xiang Chen; Ping Zhou;
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1. Wavelet Packet Feature Assessment for High-Density Myoelectric Pattern Recognition and Channel Selection toward Stroke Rehabilitation [J] . Dongqing Wang, Xu Zhang, Xiaoping Gao, Frontiers in Neurology . 2016,第1期

机译：用于高密度肌电模式识别和卒中康复通道选择的小波包特征评估
2. EMG feature assessment for myoelectric pattern recognition and channel selection: A study with incomplete spinal cord injury [J] . LiuJ., LiX., LiG., Medical engineering & physics. . 2014,第7期

机译：用于肌电模式识别和通道选择的肌电图特征评估：脊髓不完全损伤的研究
3. High-Density Myoelectric Pattern Recognition Toward Improved Stroke Rehabilitation [J] . Zhang X. Biomedical Engineering, IEEE Transactions on . 2012,第6期

机译：改善卒中康复的高密度肌电模式识别
4. Application of wavelet packet transform on myoelectric pattern recognition for upper limb rehabilitation after stroke [C] . Wang Dongqing, Zhang Xu, Chen Xiang, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2014

机译：小波包变换在中风后上肢康复的肌电模式识别中的应用
5. Upper-Limb Stroke Rehabilitation through Targeted Muscle Assistance Based on Subject-Specific Impairment Patterns of Stroke Patients [D] . Vermillion, Billy C., II. 2020

机译：基于卒中患者的主题损伤模式，通过针对肌肉辅助的肢体冲程康复
6. Wavelet Packet Feature Assessment for High-Density Myoelectric Pattern Recognition and Channel Selection toward Stroke Rehabilitation [O] . Dongqing Wang, Xu Zhang, Xiaoping Gao, 2016

机译：小波包特征评估用于高密度肌电模式识别和卒中康复的通道选择
7. Wavelet Packet Feature Assessment for High-Density Myoelectric Pattern Recognition and Channel Selection toward Stroke Rehabilitation [O] . Dongqing Wang, Xu Zhang, Xiaoping Gao, 2016

机译：小波包特征评估用于高密度肌电模式识别和卒中康复的通道选择

Wavelet Packet Feature Assessment for High-density Myoelectric Pattern Recognition and Channel Selection toward Stroke Rehabilitation

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