Electrical Stimulation Control System Design for Upper Limb Rehabilitation - nuovo libro

Libro nella banca dati dal 2015-11-28T11:04:11+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-01-27T13:18:54+01:00 (Zurich)
ISBN/EAN: 9783319257044

ISBN - Stili di scrittura alternativi:
3-319-25704-8, 978-3-319-25704-4
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : chris, freeman
Titolo del libro: system design, design robust, rehabilitation, modelling control design, chris, freeman, system performance

Dati dell'editore

Autore: Chris Freeman
Titolo: Control System Design for Electrical Stimulation in Upper Limb Rehabilitation - Modelling, Identification and Robust Performance
Editore: Springer; Springer International Publishing
176 Pagine
Anno di pubblicazione: 2015-11-04
Cham; CH
Stampato / Fatto in
Peso: 4,144 kg
Lingua: Inglese
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIII, 176 p.

BB; Biomedical Engineering and Bioengineering; Hardcover, Softcover / Medizin; Biomedizinische Technik; Verstehen; Assistive Technology; Control Systems; Electrical Stimulation; Iterative Learning Control; Rehabilitation Engineering; rehabilitation psychology; Rehabilitation Medicine; Control and Systems Theory; Biomedical Engineering and Bioengineering; Health Care; Control and Systems Theory; Gesundheitsfachberufe; Regelungstechnik; EA; BC

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.

Introduction.-Modelling and Identification.- Combined FES & Robotic Upper Limb Dynamics.- Model Identification.- Feedback Control Design.- Iterative Learning Control Design.- Clinical Application: Multiple Sclerosis.- Constrained ILC for Human Motor Control.- Clinical Application: Goal-orientated Stroke Rehabilitation.- Electrode Array-based Stimulation.- Clinical Application: Fully Functional Stroke Rehabilitation.- Conclusions and Future Research Directions.

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.

Brings together principles of modelling, identification, control design and robust performance analysis in one convenient volume

Features illustrative case studies and results from three clinical trials

Demonstrates how theoretical tools can be applied to yield robust performance conditions bounding unmodelled dynamics and user fatigue

Includes supplementary material: sn.pub/extras