A System for Real-Time Estimation of Joint Torque with Evoked EMG under Electrical Stimulation

Functional electrical stimulation (FES) is a useful rehabilitation technique for restoring motor capability of spinal cord injured (SCI) patients by artificially driving muscle contractions. Real-time FES systems with online modulation ability are in great need for clinical applications. In this work, a system for real-time estimation of joint torque with evoked electromyography (eEMG) is presented. Kalman filter (KF) is adopted and embedded into the system as the online torque estimator. The real-time estimation system would be promising toward FES control with consideration of torque changes caused by muscle fatigue.

[1]  D. Guiraud,et al.  FES-Induced Torque Prediction With Evoked EMG Sensing for Muscle Fatigue Tracking , 2011, IEEE/ASME Transactions on Mechatronics.

[2]  J. Millán,et al.  Personalized Neuroprosthetics , 2013, Science Translational Medicine.

[3]  Qin Zhang,et al.  FES-induced muscular torque prediction with evoked EMG synthesized by NARX-type recurrent neural network , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  R. M. Hashemi,et al.  Using evoked EMG as a synthetic force sensor of isometric electrically stimulated muscle , 1998, IEEE Transactions on Biomedical Engineering.

[5]  Eli Isakov,et al.  EMG as an indicator of fatigue in isometrically FES-activated paralyzed muscles , 1994 .

[6]  Zhan Li,et al.  Muscle Fatigue Tracking with Evoked EMG via Recurrent Neural Network: Toward Personalized Neuroprosthetics , 2014, IEEE Computational Intelligence Magazine.

[7]  Philippe Fraisse,et al.  Wireless Distributed Architecture for Therapeutic Functional Electrical Stimulation: a technology to design network-based muscle control , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[8]  M. Hayashibe,et al.  Evoked EMG-based torque prediction under muscle fatigue in implanted neural stimulation , 2011, Journal of neural engineering.

[9]  Emily Waltz.  An electrifying awakening electrical stimulation of the spinal cord could let paralyzed people move again , 2013, IEEE Spectrum.

[10]  Qin Zhang,et al.  Evoked Electromyography-Based Closed-Loop Torque Control in Functional Electrical Stimulation , 2013, IEEE Transactions on Biomedical Engineering.