Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping
This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort due to the application of Functional Electrical Stimulation to the upper limb. Then, it discusses briefly previous methods to model hand movements induced by FES with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.

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Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping
This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort due to the application of Functional Electrical Stimulation to the upper limb. Then, it discusses briefly previous methods to model hand movements induced by FES with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.

109.99 In Stock
Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

by Eukene Imatz Ojanguren
Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

Neuro-fuzzy Modeling of Multi-field Surface Neuroprostheses for Hand Grasping

by Eukene Imatz Ojanguren

Hardcover(1st ed. 2019)

$109.99 
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Overview

This thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort due to the application of Functional Electrical Stimulation to the upper limb. Then, it discusses briefly previous methods to model hand movements induced by FES with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.


Product Details

ISBN-13: 9783030027346
Publisher: Springer International Publishing
Publication date: 11/04/2018
Series: Springer Theses
Edition description: 1st ed. 2019
Pages: 135
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction.- Phisiology.- Functional Electrical Stimulation.- Discomfort analysis.- Pain-maps.- FES modeling.- Computational Intelligence.- Neuro-fuzzy model.- Neuro-fuzzy model.- Conclusions.
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