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Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore 205 $a1st ed. 2015. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2015. 215 $a1 online resource (130 p.) 225 1 $aSpringerBriefs in Control, Automation and Robotics,$x2192-6786 300 $aDescription based upon print version of record. 311 $a1-4471-6725-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIterative Learning Control: An Overview -- Technology Transfer to Stroke Rehabilitation -- ILC based Upper-Limb Rehabilitation? Planar Tasks -- Iterative Learning Control of the Unconstrained Upper Limb -- Goal-oriented Stroke Rehabilitation. 330 $aIterative 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. Rehabilitation robotics provides the opportunity for repetitive task-oriented movement practice reflecting the importance of such intense practice demonstrated by conventional therapeutic research and motor learning theory. Until now this technique has not allowed feedback from one practice repetition to influence the next, also implicated as an important factor in therapy. The authors demonstrate how ILC can be used to adjust external functional electrical stimulation of patients? muscles while they are repeatedly performing a task in response to the known effects of stimulation in previous repetitions. 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