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Toward Tailored Rehabilitation by Implementation of a Novel Musculoskeletal Finite Element Analysis Pipeline

Authors :
Amir Esrafilian
Lauri Stenroth
Mika E. Mononen
Paavo Vartiainen
Petri Tanska
Pasi A. Karjalainen
Juha-Sampo Suomalainen
Jari P. A. Arokoski
David J. Saxby
David G. Lloyd
Rami K. Korhonen
Source :
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 789-802 (2022)
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

Tissue-level mechanics (e.g., stress and strain) are important factors governing tissue remodeling and development of knee osteoarthritis (KOA), and hence, the success of physical rehabilitation. To date, no clinically feasible analysis toolbox has been introduced and used to inform clinical decision making with subject-specific in-depth joint mechanics of different activities. Herein, we utilized a rapid state-of-the-art electromyography-assisted musculoskeletal finite element analysis toolbox with fibril-reinforced poro(visco)elastic cartilages and menisci to investigate knee mechanics in different activities. Tissue mechanical responses, believed to govern collagen damage, cell death, and fixed charge density loss of proteoglycans, were characterized within 15 patients with KOA while various daily activities and rehabilitation exercises were performed. Results showed more inter-participant variation in joint mechanics during rehabilitation exercises compared to daily activities. Accordingly, the devised workflow may be used for designing subject-specific rehabilitation protocols. Further, results showed the potential to tailor rehabilitation exercises, or assess capacity for daily activity modifications, to optimally load knee tissue, especially when mechanically-induced cartilage degeneration and adaptation are of interest.

Details

Language :
English
ISSN :
15580210
Volume :
30
Database :
Directory of Open Access Journals
Journal :
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.13a44fe9c489ebada8206bf7e49e0
Document Type :
article
Full Text :
https://doi.org/10.1109/TNSRE.2022.3159685