An Adaptive Neuro-Fuzzy Control Algorithm for Electrically Stimulated Gait in the Child with Cerebral Palsy
نویسندگان
چکیده
Functional Electrical Stimulation (FES) has shown the potential of being a valuable clinical option for the correction of gait in the child with cerebral palsy (CP) [1]. The usefulness of these systems, however, is dependent upon a clinically feasible method of predicting gait events in order to deliver electrical stimulation to the muscles at the appropriate time. In the past, the control over electrical stimulation has been primarily through the use of force sensing resistors (FSRs) placed in the insole of the shoe [2]. Research in our lab has been directed towards replacing this control interface by developing algorithms that use electromyographic (EMG) activity to predict gait events, with the overall goal of developing a new control system that is easier to use, cosmetically acceptable, and requires little maintenance.
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