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2019 | OriginalPaper | Chapter

A Computational Model for the Design of Lower-Limb Sensorimotor Neuroprostheses

Authors : Stanisa Raspopovic, Francesco Maria Petrini

Published in: Converging Clinical and Engineering Research on Neurorehabilitation III

Publisher: Springer International Publishing

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Abstract

Leg amputees suffer the lack of sensory feedback from a prosthesis, which is provoking their low confidence during the walking, falls and low mobility. Electrical peripheral nerve stimulation (ePNS) of upper-limb amputee’s residual nerves has shown the ability to restore the sensations from the missing limb into the proper sensorimotor scheme. Physiologically plausible stimulation protocols targeting lower limb sciatic nerve holds promise to induce sensory feedback restoration that should facilitate close-to-natural sensorimotor integration and therefore fall avoidance and walking corrections. The sciatic nerve, innervating the foot and lower leg, has very different dimensions and density/disposal of mechanoreceptors, respect to upper-limb nerves. Therefore there is a need to develop a computational model of its behaviour. Different types of neural interfaces and their different designs have been implemented. This computational modelling suggests the optimal interface to use in human subjects.

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Metadata
Title
A Computational Model for the Design of Lower-Limb Sensorimotor Neuroprostheses
Authors
Stanisa Raspopovic
Francesco Maria Petrini
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-01845-0_10