Tremor attenuation using FES-based joint stiffness control

In this paper, a strategy to attenuate tremor based on co-contraction of antagonist muscles using Functional Electrical Stimulation (FES) is fully presented. Both methods to track tremor features in real-time, while filtering voluntary motion, and to identify a suitable joint model are described. Using this information, the stimulation controller modulates joint stiffness based on tremor intensity, while preventing the generation of undesirable joint torque. An experimental evaluation of the system, which confirmed the effectiveness of the approach, is also presented.

[1]  D M Gillard,et al.  Tremor suppression using functional electrical stimulation: a comparison between digital and analog controllers. , 1999, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[2]  Philippe Poignet,et al.  Filtering voluntary motion for pathological tremor compensation , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Dingguo Zhang,et al.  FES-controlled co-contraction strategies for pathological tremor compensation , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Peter Feys,et al.  Digitised spirography as an evaluation tool for intention tremor in multiple sclerosis , 2007, Journal of Neuroscience Methods.

[5]  R. Elble,et al.  Quantification of essential tremor in writing and drawing , 1996, Movement disorders : official journal of the Movement Disorder Society.

[6]  T Rahman,et al.  Tremor suppression through impedance control. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[7]  D. Simon.  Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches , 2006 .

[8]  E. Rocon,et al.  Design and Validation of a Rehabilitation Robotic Exoskeleton for Tremor Assessment and Suppression , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[9]  P. Poignet,et al.  Identification and validation of FES physiological musculoskeletal model in paraplegic subjects , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  A. Prochazka,et al.  Attenuation of pathological tremors by functional electrical stimulation I: Method , 2006, Annals of Biomedical Engineering.

[11]  Philippe Poignet,et al.  Nonlinear identification of skeletal muscle dynamics with sigma-point kalman filter for model-based FES , 2008, 2008 IEEE International Conference on Robotics and Automation.

[12]  N. Hogan.  Adaptive control of mechanical impedance by coactivation of antagonist muscles , 1984 .

[13]  P. Crago,et al.  A dynamic model for simulating movements of the elbow, forearm, an wrist. , 1996, Journal of biomechanics.

[14]  N.V. Thakor,et al.  Adaptive cancelling of physiological tremor for improved precision in microsurgery , 1998, IEEE Transactions on Biomedical Engineering.