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Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation

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Iterative learning control (ILC) has its origins in the control of processes that perform a task repetitively with a view to improving accuracy from trial to trial by using information from previous executions of the task. This brief shows how a classic application of this technique - trajectory following in robots - can be extended to neurological rehabilitation after stroke. Regaining upper limb movement is an important step in a return to independence after stroke, but the prognosis for such recovery has remained poor. ...

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Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
2015, Springer, London

ISBN-13: 9781447167259

2015 edition

Trade paperback

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