Authors:
- Nominated as an outstanding PhD thesis by the Intelligent Control Engineering group of the Comité Español de Automática (CEA)
- Proposes the use of fuzzy neural networks to model hand movements induced by a surface multi-field neuroprosthesis
- Reports on a detailed analysis of discomfort caused by FES application on the upper limb
- Provides readers with basic knowledge of all important concepts (such as FES and intelligent computing techniques) used in the book
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Keywords
- Multi-field FES Technology
- Multi-field Electrodes
- Selective Stimulation
- Surface Neuroprostheses for Grasping
- Non-invasive Neuroprostheses
- Model of FES-induced Hand Movement
- Neuro-fuzzy Models for Neuroprostheses
- Recurrent Fuzzy Neural Networks
- Differential Evolution for Fuzzy Neural Networks
- Discomfort of Different Stimulation Techniques
- Asynchronous/Synchronous Stimulation
- FES-induced Pain Maps
Authors and Affiliations
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Automatic Control and Systems Engineering Department, Engineering School of Bilbao, University of the Basque Country (UPV/EHU), Bilbao, Spain
Eukene Imatz Ojanguren
Bibliographic Information
Book Title: Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping
Authors: Eukene Imatz Ojanguren
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-02735-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-02734-6Published: 13 November 2018
eBook ISBN: 978-3-030-02735-3Published: 03 November 2018
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVII, 135
Number of Illustrations: 23 b/w illustrations, 67 illustrations in colour
Topics: Control and Systems Theory, Biomedical Engineering and Bioengineering, Computational Intelligence, Biomechanics, Signal, Image and Speech Processing