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- W2159741877 abstract "Neural networks have the potential for controlling biomedical systems. In Functional Electrical Stimulation (FES) systems for restoring walking in spinal cord injured (SCI) persons, hand switches are the preferred method for controlling stimulation timing but this requires a large amount of concentration. Therefore a simple heel switch system has been used to provide automatic control but this can only approximate the optimum time for initiating the stimulation. The potential has been shown for using neural networks to ‘clone’ the timing of stimulation for each individual. Previous studies have used small sensor sets and have used binary functions inside the networks." @default.
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- W2159741877 date "2000-01-01" @default.
- W2159741877 modified "2023-09-27" @default.
- W2159741877 title "Artificial Neural Network Control on Functional Electrical Stimulation Assisted Gait for Persons with Spinal Cord Injury" @default.
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- W2159741877 doi "https://doi.org/10.1007/978-1-4471-0487-2_15" @default.
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