Direct validation of model-predicted muscle forces in the cat hindlimb during locomotion

Journal article


Karabulut, Derya, Dogru, Suzan Cansel, Lin, Yi-Chung, Pandy, Marcus G., Herzog, Walter and Arslan, Yunus Ziya. (2020). Direct validation of model-predicted muscle forces in the cat hindlimb during locomotion. Journal of Biomechanical Engineering. 142(5), pp. 1-13. https://doi.org/10.1115/1.4045660
AuthorsKarabulut, Derya, Dogru, Suzan Cansel, Lin, Yi-Chung, Pandy, Marcus G., Herzog, Walter and Arslan, Yunus Ziya
Abstract

Various methods are available for simulating the movement patterns of musculoskeletal systems and determining individual muscle forces, but the results obtained from these methods have not been rigorously validated against experiment. The aim of this study was to compare model predictions of muscle force derived for a cat hindlimb during locomotion against direct measurements of muscle force obtained in vivo. The cat hindlimb was represented as a 5-segment, 13-degrees-of-freedom (DOF), articulated linkage actuated by 25 Hill-type muscle-tendon units (MTUs). Individual muscle forces were determined by combining gait data with two widely used computational methods—static optimization and computed muscle control (CMC)—available in opensim, an open-source musculoskeletal modeling and simulation environment. The forces developed by the soleus, medial gastrocnemius (MG), and tibialis anterior muscles during free locomotion were measured using buckle transducers attached to the tendons. Muscle electromyographic activity and MTU length changes were also measured and compared against the corresponding data predicted by the model. Model-predicted muscle forces, activation levels, and MTU length changes were consistent with the corresponding quantities obtained from experiment. The calculated values of muscle force obtained from static optimization agreed more closely with experiment than those derived from CMC.

Keywordsmusculoskeletal model; cat hindlimb; static optimization; computed muscle control; muscle force; gait
Year2020
JournalJournal of Biomechanical Engineering
Journal citation142 (5), pp. 1-13
PublisherThe American Society of Mechanical Engineers
ISSN0148-0731
Digital Object Identifier (DOI)https://doi.org/10.1115/1.4045660
Scopus EID2-s2.0-85100704417
Research or scholarlyResearch
Page range1-13
FunderNatural Sciences and Engineering Research Council of Canada
The Killam Foundation
Istanbul University
Scientific and Technological Research Council of Turkey (TUBITAK)
Australian Research Council
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online19 Feb 2020
Publication process dates
Deposited24 Aug 2022
ARC Funded ResearchThis output has been funded, wholly or partially, under the Australian Research Council Act 2001
Grant ID10.13039/501100002790
FDK- 2016-21712
DP160104366
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