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Complexity analysis of EMG signals for patients after stroke during robot-aided rehabilitation training using fuzzy approximate entropy

机译：基于模糊近似熵的机器人辅助康复训练中风患者肌电信号的复杂性分析

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Sun R; Song R; Tong KY;
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年度 2014
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1. Complexity Analysis of EMG Signals for Patients After Stroke During Robot-Aided Rehabilitation Training Using Fuzzy Approximate Entropy [J] . Sun R., Song R., Tong K.-Y. Neural Systems and Rehabilitation Engineering, IEEE Transactions on . 2014,第5期

机译：基于模糊近似熵的机器人辅助康复训练中风患者肌电信号的复杂性分析
2. Changes in Electroencephalography Complexity using a Brain Computer Interface-Motor Observation Training in Chronic Stroke Patients: A Fuzzy Approximate Entropy Analysis [J] . Sun, Rui Frontiers in Human Neuroscience . 2017,第12期

机译：使用脑计算机接口运动观察训练对慢性卒中患者脑电图复杂性的变化：模糊近似熵分析
3. Changes in Electroencephalography Complexity using a Brain Computer Interface-Motor Observation Training in Chronic Stroke Patients: A Fuzzy Approximate Entropy Analysis [J] . Rui Sun, Wan-wa Wong, Jing Wang, Frontiers in Human Neuroscience . 2017,第4期

机译：慢性脑卒中患者脑电脑界面电机观察训练的脑电图复杂性的变化：模糊近似熵分析
4. Importance of Muscle Selection for EMG Signal Analysis during Upper Limb Rehabilitation of Stroke Patients [C] . A. Costa, M. Itkonen, H. Yamasaki, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2017

机译：卒中患者上肢康复期间EMG信号分析肌肉选择的重要性
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. Changes in Electroencephalography Complexity using a Brain Computer Interface-Motor Observation Training in Chronic Stroke Patients: A Fuzzy Approximate Entropy Analysis [O] . Rui Sun, Wan-wa Wong, Jing Wang, 2017

机译：使用脑计算机接口运动观察训练对慢性卒中患者脑电图复杂性的变化：模糊近似熵分析。
7. Changes in Electroencephalography Complexity using a Brain Computer Interface-Motor Observation Training in Chronic Stroke Patients: A Fuzzy Approximate Entropy Analysis [O] . Rui Sun, Wan-wa Wong, Jing Wang, 2017

机译：慢性脑卒中患者脑电脑界面 - 运动观察训练对脑电图复杂度的影响：模糊近似熵分析

Complexity analysis of EMG signals for patients after stroke during robot-aided rehabilitation training using fuzzy approximate entropy

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