Download PDF by Shane Xie: Advanced Robotics for Medical Rehabilitation: Current State

By Shane Xie

ISBN-10: 3319198955

ISBN-13: 9783319198958

ISBN-10: 3319198963

ISBN-13: 9783319198965

Focussing at the key applied sciences in constructing robots for quite a lot of scientific rehabilitation actions – as a way to comprise robotics fundamentals, modelling and keep watch over, biomechanics modelling, rehabilitation ideas, robotic information, scientific setup/implementation in addition to neural and muscular interfaces for rehabilitation robotic keep watch over – this e-book is divided into components; a evaluate of the present cutting-edge, and up to date advances in robotics for scientific rehabilitation. either elements will contain 5 sections for the 5 key parts in rehabilitation robotics: (i) the higher limb; (ii) decrease limb for gait rehabilitation (iii) hand, finger and wrist; (iv) ankle for traces and sprains; and (v) using EEG and EMG to create interfaces among the neurological and muscular services of the sufferers and the rehabilitation robots.

Each bankruptcy offers an outline of the layout of the equipment, the keep an eye on procedure used, and the implementation and checking out to teach the way it fulfils the wishes of that express region of rehabilitation. The e-book will element new units, a few of that have by no means been released prior to in any magazine or conference.

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Additional resources for Advanced Robotics for Medical Rehabilitation: Current State of the Art and Recent Advances

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For the above reasons, the biaxial ankle model appears to be sensible choice and its parameter estimation will be further discussed. Parameter identification for a biaxial kinematic model was investigated by van den Bogert in an in vivo manner using visual markers placed on the subject’s foot [68]. The biaxial model considered has 12 parameters and these are determined through minimisation of the discrepancies between marker positions obtained from the assumed model and from measurements using the Levenberg–Marquardt algorithm.

Occup. Ther. J. 58, 215–219 (2011) 7. S. Harwin, T. A. Foulds, A review of design issues in rehabilitation robotics with reference to North American research. IEEE Trans. Rehabil. Eng. 3, 3–13 (1995) 8. N. Tejima, Rehabilitation robotics: a review. Adv. Robot. 14, 551–564 (2000) 9. I. J. Palazzolo, L. Dipietro, M. Ferraro, J. Krol, K. T. Volpe, N. Hogan, Rehabilitation robotics: performance-based progressive robot-assisted therapy. Auton. Robots 15, 7–20 (2003) 10. S. Hesse, H. Schmidt, C. Werner, A.

Other groups have opted to use passive DOF for these translation movements [13, 15, 16]. Passive DOF allows the joint to move freely but eliminates the ability to generate actuation forces at the joint. There are a number of commercially available rehabilitation devices for the upper limb. One of the more sophisticated rehabilitation devices available are the Armeo products (Hocoma AG, Switzerland) [17]. These include the 7-DOF ArmeoPower active exoskeleton, ArmeoSpring passive exoskeleton and ArmeoBoom sling suspension system.

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Advanced Robotics for Medical Rehabilitation: Current State of the Art and Recent Advances by Shane Xie


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