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Control System Design for Electrical Stimulation in Upper Limb Rehabilitation

by Chris Freeman

Control System Design for Electrical Stimulation in Upper Limb Rehabilitation Synopsis

This book presents a comprehensive framework for model-based electrical stimulation (ES) controller design, covering the whole process needed to develop a system for helping people with physical impairments perform functional upper limb tasks such as eating, grasping and manipulating objects. The book first demonstrates procedures for modelling and identifying biomechanical models of the response of ES, covering a wide variety of aspects including mechanical support structures, kinematics, electrode placement, tasks, and sensor locations. It then goes on to demonstrate how complex functional activities of daily living can be captured in the form of optimisation problems, and extends ES control design to address this case. It then lays out a design methodology, stability conditions, and robust performance criteria that enable control schemes to be developed systematically and transparently, ensuring that they can operate effectively in the presence of realistic modelling uncertainty, physiological variation and measurement noise.

Book Information

ISBN: 9783319370927
Publication date: 23rd August 2016
Author: Chris Freeman
Publisher: Springer International Publishing AG
Format: Paperback / softback
Pagination: 176 pages
Categories: Biomedical engineering, Rehabilitation, Automatic control engineering,

About Chris Freeman

Over the last ten years Dr. Freeman has developed new healthcare technologies combining robotics and electrical stimulation to enable people with upper limb impairments to perform functional tasks. Over this time he has worked closely with clinicians (including former IFESS president Prof Jane Burridge), patients and carers. These include five clinical trials using technology he has developed, as well as numerous smaller studies and user-led design sessions. His focus has been to understand and define clinical problems within an engineering perspective and translate this into usable solutions. Dr. Freeman's background in adaptive and learning control of robotic structures has enabled ...

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