Adaptive control of cyclic movements as muscles fatigue using functional neuromuscular stimulation

For individuals with spinal cord injuries, functional neuromuscular stimulation (FNS) systems can be used to activate paralyzed muscles in order to restore function, provide exercise, or assist in movement therapy. In previous work, the pattern generator/pattern shaper (PG/PS) adaptive controller was evaluated on subjects with spinal cord injuries and was able to automatically adjust stimulation parameters to account for individual subject differences and system response nonlinearities. In this study, the PG/PS control system was utilized in extended trials. Results indicated that the controller adapted stimulation patterns in an online manner to account for changes in system properties due to fatigue.

[1]  P. Crago,et al.  Modulation of Muscle Force by Recruitment During Intramuscular Stimulation , 1980, IEEE Transactions on Biomedical Engineering.

[2]  E. B. Marsolais,et al.  Control of functional neuromuscular stimulation systems for standing and locomotion in paraplegics , 1988, Proc. IEEE.

[3]  K. Ragnarsson,et al.  Physiologic effects of functional electrical stimulation-induced exercises in spinal cord-injured individuals. , 1988, Clinical orthopaedics and related research.

[4]  A. Kralj,et al.  Functional Electrical Stimulation: Standing and Walking after Spinal Cord Injury , 1989 .

[5]  D.R. McNeal,et al.  Open-loop control of the freely-swinging paralyzed leg , 1989, IEEE Transactions on Biomedical Engineering.

[6]  E. Roth,et al.  Neuromuscular stimulation in spinal cord injury: I: Restoration of functional movement of the extremities. , 1992, Archives of physical medicine and rehabilitation.

[7]  J. Abbas,et al.  Experimental evaluation of an adaptive feedforward controller for use in functional neuromuscular stimulation systems , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[8]  Peter Gorman Neural Prostheses , 1993, Neurology.

[9]  W. Durfee,et al.  Estimation of force-activation, force-length, and force-velocity properties in isolated, electrically stimulated muscle , 1994, IEEE Transactions on Biomedical Engineering.

[10]  H.J. Chizeck,et al.  Neural network control of functional neuromuscular stimulation systems: computer simulation studies , 1995, IEEE Transactions on Biomedical Engineering.

[11]  J. Mizrahi,et al.  Fatigue in Muscles Activated by Functional Electrical Stimulation , 1997 .

[12]  J J Abbas,et al.  Experimental evaluation of an adaptive feedforward controller for use in functional neuromuscular stimulation systems. , 1993, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[13]  G C Chang,et al.  Applying fuzzy logic to control cycling movement induced by functional electrical stimulation. , 1997, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[14]  J. Quintern Application of functional electrical stimulation in paraplegic patients , 1998 .

[15]  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.

[16]  M. Popovic,et al.  Clinical evaluation of the bionic glove. , 1999, Archives of physical medicine and rehabilitation.

[17]  J Riess,et al.  Adaptive neural network control of cyclic movements using functional neuromuscular stimulation. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[18]  James J. Abbas,et al.  Sensitivity and versatility of an adaptive system for controlling cyclic movements using functional neuromuscular stimulation , 2000, IEEE Transactions on Biomedical Engineering.