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Biomechatronics in medical rehabilitation : biomodelling, interface, and control / Shane Xie, Wei Meng.

Van Pelt Library R856 .X54 2017
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Format:
Book
Author/Creator:
Xie, Shane, author.
Meng, Wei (Of University of Auckland. Department of Mechanical Engineering), author.
Language:
English
Subjects (All):
Medical electronics.
Mechatronics.
Medical rehabilitation.
Rehabilitation technology.
Robotics in medicine.
Physical Description:
xviii, 203 pages : illustrations (chiefly color) ; 24 cm
Place of Publication:
Cham, Switzerland : Springer, [2017]
Summary:
This book focuses on the key technologies in developing biomechatronic systems for medical rehabilitation purposes. It includes a detailed analysis of biosignal processing, biomechanics modelling, neural and muscular interfaces, artificial actuators, robot-assisted training, clinical setup/implementation and rehabilitation robot control. Encompassing highly multidisciplinary themes in the engineering and medical fields, it presents researchers' insights into the emerging technologies and developments that are being utilized in biomechatronics for medical purposes. Presenting a detailed analysis of five key areas in rehabilitation robotics: (i) biosignal processing; (ii) biomechanics modelling; (iii) neural and muscular interfaces; (iv) artificial actuators and devices; and (v) the use of neurological and muscular interfaces in rehabilitation robots control, the book describes the design of biomechatronic systems, the methods and control systems used and the implementation and testing in order to show how they fulfil the needs of that specific area of rehabilitation. Providing a comprehensive overview of the background of biomechatronics and details of new advances in the field, it is especially useful for researchers, academics and graduates new to the field of biomechatronics engineering, and is also of interest to researchers and clinicians in the medical field who are not engineers.
Contents:
Introduction
State of the Art
Signal Processing Methods for SSVEP-Based BCIs
SSVEP-Based BCI for Lower Limb Rehabilitation
A Hybrid BCI for Gaming
EMG-Driven Physiological Model for Upper Limb
Exoskeleton Control Based on Neural Interface
Muscle Force Estimation Model for Gait Rehabilitation
Neuromuscular Model for Gait Rehabilitation
Conclusions and future prospects.
Notes:
Includes bibliographical references.
ISBN:
9783319528830
3319528831
OCLC:
967367221

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