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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