A reduced-order closed-loop hybrid dynamic model for design and development of lower limb prostheses.

dynamics lower limb prostheses simulation

Journal

Wearable technologies
ISSN: 2631-7176
Titre abrégé: Wearable Technol
Pays: England
ID NLM: 9918230402406676

Informations de publication

Date de publication:
2023
Historique:
received: 30 09 2022
revised: 16 01 2023
accepted: 10 02 2023
medline: 15 3 2024
pubmed: 15 3 2024
entrez: 15 3 2024
Statut: epublish

Résumé

This manuscript presents a simplified dynamic human-prosthesis model and simulation framework for the purpose of designing and developing lower limb prosthesis hardware and controllers. The objective was to provide an offline design tool to verify the closed-loop behavior of the prosthesis with the human, in order to avoid relying solely on limiting kinematic and kinetic reference trajectories of (able-bodied) subjects and associated static or inverse dynamic analyses, while not having to resort to complete neuromusculoskeletal models of the human that require extensive optimizations to run. The presented approach employs a reduced-order model that includes only the prosthetic limb and trunk in a multi-body dynamic model. External forces are applied to the trunk during stance phase of the intact leg to represent its presence. Walking is realized by employing the well-known spring-loaded inverted pendulum model, which is shown to generate realistic dynamics on the prosthesis while maintaining a stable and modifiable gait. This simple approach is inspired from the rationale that the human is adaptive, and from the desire to facilitate modifications or inclusions of additional user actions. The presented framework is validated with two use cases, featuring a commercial and research knee prosthesis in combination with a passive ankle prosthesis, performing a continuous sequence of standing still, walking at different velocities and stopping.

Identifiants

pubmed: 38487762
doi: 10.1017/wtc.2023.6
pii: S2631717623000063
pmc: PMC10936358
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e10

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

This research is not influenced by personal or financial relationships with others.

Auteurs

Josephus J M Driessen (JJM)

Rehab Technologies Lab, Istituto Italiano di Tecnologia (IIT), Genoa, Italy.

Matteo Laffranchi (M)

Rehab Technologies Lab, Istituto Italiano di Tecnologia (IIT), Genoa, Italy.

Lorenzo De Michieli (L)

Rehab Technologies Lab, Istituto Italiano di Tecnologia (IIT), Genoa, Italy.

Classifications MeSH