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

Description

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. Front Matter ....Pages i-xvii Introduction (Eukene Imatz Ojanguren)....Pages 1-4 Phisiology (Eukene Imatz Ojanguren)....Pages 5-16 Functional Electrical Stimulation (Eukene Imatz Ojanguren)....Pages 17-28 Discomfort Analysis (Eukene Imatz Ojanguren)....Pages 29-41 Pain-Maps (Eukene Imatz Ojanguren)....Pages 43-57 FES Modeling (Eukene Imatz Ojanguren)....Pages 59-67 Computational Intelligence (Eukene Imatz Ojanguren)....Pages 69-87 Neuro-Fuzzy Model - Part 1 (Eukene Imatz Ojanguren)....Pages 89-106 Neuro-Fuzzy Model - Part 2 (Eukene Imatz Ojanguren)....Pages 107-126 Conclusions (Eukene Imatz Ojanguren)....Pages 127-133 Back Matter ....Pages 135-135