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EMG-Constrained and Ultrasound-Informed Muscle-Tendon Parameter Estimation in Post-Stroke Hemiparesis
KTH, School of Engineering Sciences (SCI), Engineering Mechanics.ORCID iD: 0000-0001-8785-5885
Stanford University, Department of Bioengineering, USA.ORCID iD: 0000-0001-6180-8730
Sichuan University, National Engineering Research Center of Clean Technology in Leather Industry, China; Zhejiang Red Dragonfly Footwear Company, China.ORCID iD: 0000-0002-8117-172X
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Aerospace, moveability and naval architecture.ORCID iD: 0000-0002-2232-5258
2024 (English)In: IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, E-ISSN 1558-2531, Vol. 71, no 6, p. 1798-1809Article in journal (Refereed) Published
Abstract [en]

Secondary morphological and mechanical property changes in the muscle-tendon unit at the ankle joint are often observed in post-stroke individuals. These changes may alter the force generation capacity and affect daily activities such as locomotion. This work aimed to estimate subject-specific muscle-tendon parameters in individuals after stroke by solving the muscle redundancy problem using direct collocation optimal control methods based on experimental electromyography (EMG) signals and measured muscle fiber length. Subject-specific muscle-tendon parameters of the gastrocnemius, soleus, and tibialis anterior were estimated in seven post-stroke individuals and seven healthy controls. We found that the maximum isometric force, tendon stiffness and optimal fiber length in the post-stroke group were considerably lower than in the control group. We also computed the root mean square error between estimated and experimental values of muscle excitation and fiber length. The musculoskeletal model with estimated subject-specific muscle tendon parameters (from the muscle redundancy solver), yielded better muscle excitation and fiber length estimations than did scaled generic parameters. Our findings also showed that the muscle redundancy solver can estimate muscle-tendon parameters that produce force behavior in better accordance with the experimentally-measured value. These muscle-tendon parameters in the post-stroke individuals were physiologically meaningful and may shed light on treatment and/or rehabilitation planning.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. Vol. 71, no 6, p. 1798-1809
Keywords [en]
direct collocation, muscle fiber length, muscle redundancy solver, Musculoskeletal modeling, optimization
National Category
Other Medical Engineering Physiotherapy
Identifiers
URN: urn:nbn:se:kth:diva-366810DOI: 10.1109/TBME.2024.3352556ISI: 001230139500019PubMedID: 38206783Scopus ID: 2-s2.0-85182949561OAI: oai:DiVA.org:kth-366810DiVA, id: diva2:1983233
Note

QC 20250710

Available from: 2025-07-10 Created: 2025-07-10 Last updated: 2025-07-10Bibliographically approved

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Zhang, LongbinWang, Ruoli

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