Natalie Fragnito

College of Engineering

Works (1)

Updated: August 15th, 2023 21:15

2021 conference paper

Plantarflexion Moment Prediction during the Walking Stance Phase with an sEMG-Ultrasound Imaging-Driven Model

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021-January, 6267–6272.

By: Q. Zhang* , N. Fragnito*, A. Myers* & N. Sharma* 

Contributors: Q. Zhang* , N. Fragnito*, A. Myers* & N. Sharma* 

Event: 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society at Mexico on November 1-5, 2021

MeSH headings : Ankle / diagnostic imaging; Ankle Joint / diagnostic imaging; Electromyography; Humans; Ultrasonography; Walking
TL;DR: The findings show that the sEMG-US imaging-driven MLM can significantly improve the prediction of net PF moment during the walking stance phase at multiple speeds and potentially can be used as a superior joint motion intent model in advanced and intelligent control strategies for rehabilitative exoskeletons. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 25, 2022

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