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Neuro-fuzzy modeling of multi-field ...

Imatz Ojanguren, Eukene.

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Neuro-fuzzy modeling of multi-field surface neuroprostheses for hand grasping

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neuro-fuzzy modeling of multi-field surface neuroprostheses for hand grasping/ by Eukene Imatz Ojanguren.
Author:	Imatz Ojanguren, Eukene.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xvii, 135 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Phisiology -- Functional Electrical Stimulation -- Discomfort analysis -- Pain-maps -- FES modeling -- Computational Intelligence -- Neuro-fuzzy model -- Neuro-fuzzy model -- Conclusions.
Contained By:	Springer eBooks
Subject:	Neuroprostheses. -
Online resource:	https://doi.org/10.1007/978-3-030-02735-3
ISBN:	9783030027353

Neuro-fuzzy modeling of multi-field surface neuroprostheses for hand grasping
Imatz Ojanguren, Eukene.

Neuro-fuzzy modeling of multi-field surface neuroprostheses for hand grasping[electronic resource] /by Eukene Imatz Ojanguren. - Cham :Springer International Publishing :2019. - xvii, 135 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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

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.

ISBN: 9783030027353

Standard No.: 10.1007/978-3-030-02735-3doiSubjects--Topical Terms:

2132961
Neuroprostheses.

LC Class. No.: R856 / .I438 2019

Dewey Class. No.: 617.57

Neuro-fuzzy modeling of multi-field surface neuroprostheses for hand grasping
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300 $a xvii, 135 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a Introduction -- Phisiology -- Functional Electrical Stimulation -- Discomfort analysis -- Pain-maps -- FES modeling -- Computational Intelligence -- Neuro-fuzzy model -- Neuro-fuzzy model -- Conclusions.
520 $a 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.
650 0 $a Neuroprostheses. $3 2132961
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950 $a Intelligent Technologies and Robotics (Springer-42732)