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.
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© 2000 Springer-Verlag London
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Tong, Ky., Granat, M.H. (2000). Artificial Neural Network Control on Functional Electrical Stimulation Assisted Gait for Persons with Spinal Cord Injury. In: Lisboa, P.J.G., Ifeachor, E.C., Szczepaniak, P.S. (eds) Artificial Neural Networks in Biomedicine. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0487-2_15
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DOI: https://doi.org/10.1007/978-1-4471-0487-2_15
Publisher Name: Springer, London
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