Literature DB >> 2026428

Feedback regulation of hand grasp opening and contact force during stimulation of paralyzed muscle.

P E Crago1, R J Nakai, H J Chizeck.   

Abstract

A fixed-parameter, discrete-time, first-order, feedback control system is described for regulating grasp during electrical stimulation of paralyzed muscles of the hand. The stiffness of the grasp (relationship between grasp force and grasp opening) is kept constant by linearly combining force and position feedback signals. Thus, a single continuous command signal can control the size of the grasp opening prior to object acquisition and both grasp force and opening after contact. The controller achieves this change in controlled variables by scaling and summing the force and position feedback signals, rather than by a discrete switch in control strategy. Experimental tests of the control system in quadriplegic subjects show that control can be obtained over conditions ranging from unloaded position regulation to isometric force regulation, as well as in the transition between these conditions. The robustness of the control system was evaluated during force regulation with isometric loads. Step response rise time and overshoot were much more dependent on system gain than on the location of the controller zero. Responses with rise time less than two seconds and overshoot less than 30% were obtained over a gain range up to ten, indicating good robustness to muscle gain reductions such as might be caused by fatigue.

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Year:  1991        PMID: 2026428     DOI: 10.1109/10.68205

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  15 in total

1.  Adaptive fuzzy control of electrically stimulated muscles for arm movements.

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2.  An artificial grasping evaluation system for the paralysed hand.

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6.  Training an Actor-Critic Reinforcement Learning Controller for Arm Movement Using Human-Generated Rewards.

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7.  Creating a Reinforcement Learning Controller for Functional Electrical Stimulation of a Human Arm.

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8.  Fuzzy approach for determination the optimum therapeutic parameters in neuromuscular stimulation systems.

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Review 9.  Optical stimulation for restoration of motor function after spinal cord injury.

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10.  Optimization and evaluation of a proportional derivative controller for planar arm movement.

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