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机译:在低作用力水平下单通道肌内肌电信号的可靠分解
Biomedical Engineering Department, Engineering Faculty, the University of Isfahan, HezarJerib st.,81746-73441, Isfahan, Iran,Laboratorio di Ingegneria del Sistema Neuromuscolare (LISiN), Dipartimento de Elettronica,Politecnico di Torino, Torino 10129, Italy;
Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology,Aalborg University, 9220 Aalborg, Denmark,Department of NeuroRehabilitation Engineering, Bernstein Center for Computational Neuroscience,University Medical Center Gottingen, Georg-August University, 37075 Gottingen, Germany;
Rehabilitation R&D Center, VA Palo Alto Health Care System, 3801 Miranda Ave, Palo Alto,CA 94304, USA;
Laboratorio di Ingegneria del Sistema Neuromuscolare (LISiN), Dipartimento de Elettronica,Politecnico di Torino, Torino 10129, Italy;
Department of NeuroRehabilitation Engineering, Bernstein Center for Computational Neuroscience,University Medical Center Gottingen, Georg-August University, 37075 Gottingen, Germany;
机译:握力与单通道肌内肌电信号特征之间的关系。
机译:用生成的对抗网络分解以低频采样的单通道肌内肌动画信号以低频采样进入其电机单元动作潜在列车
机译:基于循环平稳的盲源分离对多通道肌内肌电信号的分解
机译:基于知识的确定性分类器算法分解肌肉内的EMG信号
机译:时频分解步态肌电信号的定量比较。
机译:基于小波特征提取的肌内肌电信号分解的比较分析
机译:基于循环平稳的盲源分离对多通道肌内EmG信号的分解