Neuromusculoskeletal Models of Human-Machine Interaction in Individuals Wearing Lower Limb Assistive Technologies

Abstract

This abstract outlines how musculoskeletal modeling formulations driven by electrophysiological recordings can be used to understand the complex dynamics of human-machine interaction in healthy and impaired individuals wearing lower limb orthoses. We investigate two scenarios. The first involves a healthy individual walking with a powered exoskeleton. The second involves an impaired individual walking with a passive knee-ankle-foot orthosis. We demonstrate how offline and online modeling can be used for predicting the individual’s neuromusculoskeletal responses to the devices connected in parallels to their limbs.