Biomimetic Design of FES Control Systems

Control systems for functional electrical stimulation (FES) are usually based on explicit control of individual joint torques by individual muscles. However, the biological controller appears to use distributed spinal interneuronal circuits to control overall limb posture and reflex adjustments. The controllability and stability achieved by the biological sensorimotor system motivates a similar strategy for FES. We are using a combination of motion analysis, modeling and simulation methods to determine whether biomimetic FES controllers are feasible for reach and grasp tasks and whether they will improve the ability of the operator to take advantage of the residual voluntary control that is present in spinal cord injury and stroke patients.

[1]  Gerald E. Loeb,et al.  BION™ Implants for Therapeutic and Functional Electrical Stimulation , 2000 .

[2]  S. Delp,et al.  The isometric functional capacity of muscles that cross the elbow. , 2000, Journal of biomechanics.

[3]  J F Soechting,et al.  Parcellation of sensorimotor transformations for arm movements , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[4]  S. Pourmehdi,et al.  An externally powered, multichannel, implantable stimulator-telemeter for control of paralyzed muscle , 1998, IEEE Transactions on Biomedical Engineering.

[5]  Rahman Davoodi,et al.  CONVERSION OF SIMM TO SIMULINK FOR FASTER DEVELOPMENT OF MUSCULOSKELETAL MODELS , 2001 .

[6]  S L Delp,et al.  A graphics-based software system to develop and analyze models of musculoskeletal structures. , 1995, Computers in biology and medicine.

[7]  G. E. Loeb,et al.  A hierarchical foundation for models of sensorimotor control , 1999, Experimental Brain Research.

[8]  C. Prablanc,et al.  Postural control of three-dimensional prehension movements. , 1997, Journal of neurophysiology.

[9]  P H Peckham,et al.  A comparison between control methods for implanted FES hand-grasp systems. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[10]  Ian E. Brown,et al.  Virtual muscle: a computational approach to understanding the effects of muscle properties on motor control , 2000, Journal of Neuroscience Methods.

[11]  J. He,et al.  Feedback gains for correcting small perturbations to standing posture , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.