Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation

Nonfiction, Science & Nature, Technology, Automation, Health & Well Being, Medical, Specialties, Physical Medicine & Rehabilitation
Cover of the book Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore ISBN: 9781447167266
Publisher: Springer London Publication: June 25, 2015
Imprint: Springer Language: English
Author: Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
ISBN: 9781447167266
Publisher: Springer London
Publication: June 25, 2015
Imprint: Springer
Language: English

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 ability to convert an intention to move into a motion of accurate trajectory, force and rapidity, initially intense external stimulation can now be scaled back progressively until the fullest possible independence of movement is achieved.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 ability to convert an intention to move into a motion of accurate trajectory, force and rapidity, initially intense external stimulation can now be scaled back progressively until the fullest possible independence of movement is achieved.

More books from Springer London

Cover of the book Dermatology Terminology by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Shoulder Arthroscopy by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Essentials of Autopsy Practice by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book ECG Diagnosis in Clinical Practice by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Green Energy Audit of Buildings by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Assessment of Power System Reliability by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Frontiers in Computational and Systems Biology by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Mine Safety by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Fundamentals of Digital Imaging in Medicine by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Transesophageal Echocardiography for Congenital Heart Disease by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Transformation Electromagnetics and Metamaterials by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Beyond World-Class Productivity by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Management of Abdominal Hernias by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Finitely Generated Abelian Groups and Similarity of Matrices over a Field by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
Cover of the book Future Interaction Design II by Chris T. Freeman, Eric Rogers, Ann-Marie Hughes, Jane H. Burridge, Katie L. Meadmore
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy