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Muscle modelling is an important component of body segmental motion analysis. Although many studies had focused on static conditions the relationship between electromyographic (EMG) signals and joint torque under voluntary dynamic situations has not been well investigated. The aim of this study was to investigate the performance of a recurrent artificial(More)
The mean first exit time and escape probability are utilized to quantify dynamical behaviors of stochastic differential equations with non-Gaussian α-stable type Lévy motions. An efficient and accurate numerical scheme is developed and validated for computing the mean exit time and escape probability from the governing differential-integral equation. An(More)
The effect of using robots to improve motor recovery has received increased attention, while the treatment effectiveness remains a topic of study. We compared the training effects by treatments on the wrist joint of chronic stroke patients with an Electromyography (EMG)-Driven robot (interactive group, n=15) and a robot with continuous passive motion(More)
Ruiyin Song 1,2,*, Meiqin Zhang 1, Xiaohua Qian 1, Xiancheng Wang 1, Yong Ming Dai 2 and Junhua Chen 1 1 Ningbo Institute of Technology (NIT), Zhejiang University, Ningbo 315100, China; zmq@nit.zju.edu.cn (M.Z.); qxh@nit.zju.edu.cn (X.Q.); wxc@nit.zju.edu.cn (X.W.); cjh@nit.zju.edu.cn (J.C.) 2 School of Marine Science and Engineering, University of(More)
Active initiation and participation in the rehabilitation is a key of success for stroke rehabilitation. To patients with stroke, the interactive robotic system would motivate them to actively interact with the system during the task-related training regime. The system used muscle activation from affected limbs as control signal. The system was designed to(More)
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