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

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發(fā)表于 2025-3-21 17:06:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
編輯Chris T. Freeman,Eric Rogers,Katie L. Meadmore
視頻videohttp://file.papertrans.cn/477/476573/476573.mp4
概述Demonstrates the application of control engineering in next-generation healthcare.Shows how rehabilitation robots can be designed with supporting clinical evidence.Includes supplementary material:
叢書名稱SpringerBriefs in Electrical and Computer Engineering
圖書封面Titlebook: Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation;  Chris T. Freeman,Eric Rogers,Katie L. Meadmore Book 2015
描述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. 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. As the motor nerves and muscles of the arm reaquire the abi
出版日期Book 2015
關(guān)鍵詞Clinical Evaluation; Healthcare Robotics; Learning Control; Medical Engineering; Stroke Rehabilitation; r
版次1
doihttps://doi.org/10.1007/978-1-4471-6726-6
isbn_softcover978-1-4471-6725-9
isbn_ebook978-1-4471-6726-6Series ISSN 2191-8112 Series E-ISSN 2191-8120
issn_series 2191-8112
copyrightThe Author(s) 2015
The information of publication is updating

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2191-8112 rting clinical evidence.Includes supplementary material: 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
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Chris T. Freeman,Eric Rogers,Jane H. Burridge,Ann-Marie Hughes,Katie L. Meadmoree than individual businesses, constitutes one of the most significant paradigm shifts in modern business management as it leaves behind the notion of adversarial companies engaged in fierce competition with one another in order to gain a competitive advantage. The “Survival of the Fittest” in what h
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Chris T. Freeman,Eric Rogers,Jane H. Burridge,Ann-Marie Hughes,Katie L. Meadmoree than individual businesses, constitutes one of the most significant paradigm shifts in modern business management as it leaves behind the notion of adversarial companies engaged in fierce competition with one another in order to gain a competitive advantage. The “Survival of the Fittest” in what h
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