机译:长期开环肌电训练中的用户适应性:对假体控制中EMG模式识别的启示
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, People's Republic of China;
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, People's Republic of China;
Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University, Goettingen, Germany;
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, People's Republic of China;
Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Goettingen, Bernstein Center for Computational Neuroscience, University Medical Center Goettingen, Georg-August University, Goettingen, Germany;
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, People's Republic of China;
prosthesis control; user adaptation; pattern recognition; long-term myoelectric signal;
机译:基于神经网络的肌电图模式识别系统控制的虚拟肌电假体的开发
机译:用于5手指磁铁手术制假体的臂箍模块的开发和模式识别算法
机译:引导对用户的培训具有模式相似性生物反馈,以提高肌电模式识别的性能
机译:模式识别控制磁体假体的假体引导训练
机译:用于两点肌电控制的已处理肌电信号的模式识别
机译:EMG模式识别在上肢假体控制中的评估:与直接肌电控制比较的案例研究
机译:学习和改编风格肌电界面:基于Emg的机器人控制与个人用户差异