Control of functional electrical stimulation with extended physiological proprioception.
The use of functional electrical stimulation (FES) of muscle for paraplegic locomotion, or grasp augmentation in tetraplegia, is limited by the variability in muscle response to stimulation as a result of several external and internal factors. Previous approaches to this problem have used position-servo controllers, which have been shown to function satisfactorily in the laboratory. However, such systems will fail should obstacles be encountered or should the stimulation hardware develop a fault. To prevent such potentially dangerous failures some form of sensory feedback is required. This paper describes the first application of a technique known as extended physiological proprioception (EPP) to the control of FES to compensate for muscle response variability and provide proprioceptive feedback via the appropriate sensory pathways. In the experimental system described, a paraplegic subject controlled the extension of his paralysed knee by shoulder protraction. A Bowden cable linked the two joints, and a dynamometer in this cable was used to derive the control signal for a computer-controlled stimulator which delivered surface stimulation to the quadriceps muscle group. Modelling and parameter identification were performed by analysis of the step response, and the controller was designed from consideration of the root locus. The advantages of the system, in terms of improved proprioceptive feedback and reduced limb-positioning error were assessed in a test of joint positioning accuracy with vision occluded. The EPP system showed improvements over both open and closed-loop position-servo controllers.
Kirtley
C
C
Bioengineering Unit, University of Strathclyde, Glasgow, UK.
Andrews
B J
BJ
D001186:Artificial Limbs; D004599:Electric Stimulation Therapy; D006801:Humans; D007866:Leg; D008838:Microcomputers; D009119:Muscle Contraction / Q000502:physiology*; D010264:Paraplegia / Q000534:rehabilitation*; D011434:Proprioception / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted