Introduction to Neural Engineering for Motor Rehabilitation / IEEE Press Series on Biomedical Engineering (PDF)
(Sprache: Englisch)
Neural engineering is a discipline that uses engineering techniques to understand, repair, replace, enhance, or treat diseases of neural systems. Currently, no book other than this one covers this broad range of topics within motor rehabilitation...
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Neural engineering is a discipline that uses engineering techniques to understand, repair, replace, enhance, or treat diseases of neural systems. Currently, no book other than this one covers this broad range of topics within motor rehabilitation technology. With a focus on cutting edge technology, it describes state-of-the-art methods within this field, from brain-computer interfaces to spinal and cortical plasticity. Touching on electrode design, signal processing, the neurophysiology of movement, robotics, and much more, this innovative volume collects the latest information for a wide range of readers working in biomedical engineering.
Autoren-Porträt
DARIO FARINA is Professor and Founding Chair of theDepartment of Neurore-habilitation Engineering at the University
Medical Center Göttingen, Georg-August University,
Göttingen, Germany. He is also Chair for Neuroinformatics of
the Bernstein Focus Neurotechnology Göttingen.
WINNIE JENSEN is an Associate Professor at the Center for
Sensory-Motor Interaction at Aalborg University, Denmark.
METIN AKAY is Chair of the Department of Biomedical
Engineering at the University of Houston, Texas. He is the founding
editor-in-chief of the IEEE Press Series in Biomedical Engineering
published by Wiley-IEEE Press. He is also the editor of ten
Wiley-IEEE Press books.
Bibliographische Angaben
- 2013, 1. Auflage, 608 Seiten, Englisch
- Herausgegeben: Dario Farina, Winnie Jensen, Metin Akay
- Verlag: John Wiley & Sons
- ISBN-10: 1118628497
- ISBN-13: 9781118628492
- Erscheinungsdatum: 21.05.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 20 MB
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