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

  • Eukene Imatz Ojanguren

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Eukene Imatz Ojanguren
    Pages 1-4
  3. Eukene Imatz Ojanguren
    Pages 5-16
  4. Eukene Imatz Ojanguren
    Pages 17-28
  5. Eukene Imatz Ojanguren
    Pages 29-41
  6. Eukene Imatz Ojanguren
    Pages 43-57
  7. Eukene Imatz Ojanguren
    Pages 59-67
  8. Eukene Imatz Ojanguren
    Pages 69-87
  9. Eukene Imatz Ojanguren
    Pages 89-106
  10. Eukene Imatz Ojanguren
    Pages 107-126
  11. Eukene Imatz Ojanguren
    Pages 127-133
  12. Back Matter
    Pages 135-135

About this book

Introduction

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.

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

  • Eukene Imatz Ojanguren
    • 1
  1. 1.Automatic Control and Systems Engineering Department, Engineering School of BilbaoUniversity of the Basque Country (UPV/EHU)BilbaoSpain

Bibliographic information