Titlebook: Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation; Chris T. Freeman,Eric Rogers,Katie L. Meadmore Book 2015

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2191-8112 imulation of patients’ muscles while they are repeatedly performing a task in response to the known effects of stimulation in previous repetitions. As the motor nerves and muscles of the arm reaquire the abi978-1-4471-6725-9978-1-4471-6726-6Series ISSN 2191-8112 Series E-ISSN 2191-8120

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Iterative Learning Control of the Unconstrained Upper Limb,. As stroke patients have difficulty lifting their affected arm, a gravity unweighting robot is used and the development again leads to a clinical trial. The analysis is extended to compensate for muscle fatigue.

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Introduction,Stroke is the largest cause of disability in developed countries. One cause of a stroke is a blood clot that blocks a vessel in the brain and stops blood reaching the regions downstream.

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,Iterative Learning Control—An Overview,This chapter gives the required background on iterative learning control. After introducing the defining characteristic of this form of control, attention is restricted to the laws used in the stroke rehabilitation research.

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Technology Transfer to Stroke Rehabilitation,The link that extends ILC from industrial robotics to robotic-assisted stroke rehabilitation is described together with the methods a health professional uses to assess the ability and progress of a patient. This material underpins the remainder of the monograph.

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Goal-Oriented Stroke Rehabilitation,Building on work reported in previous chapters, the system developed and evaluated in this chapter includes stimulation of the wrist and hand extensors. This directly targets activities of daily living, comprising real-world tasks that require manipulation of objects using the hand and wrist.

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Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation978-1-4471-6726-6Series ISSN 2191-8112 Series E-ISSN 2191-8120