Direct Validation of Model-Predicted Muscle Forces in the Cat Hindlimb During LocomotionSource: Journal of Biomechanical Engineering:;2020:;volume( 142 ):;issue: 005::page 051014-1Author:Karabulut, Derya
,
Dogru, Suzan Cansel
,
Lin, Yi-Chung
,
Pandy, Marcus G.
,
Herzog, Walter
,
Arslan, Yunus Ziya
DOI: 10.1115/1.4045660Publisher: The American Society of Mechanical Engineers (ASME)
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.
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contributor author | Karabulut, Derya | |
contributor author | Dogru, Suzan Cansel | |
contributor author | Lin, Yi-Chung | |
contributor author | Pandy, Marcus G. | |
contributor author | Herzog, Walter | |
contributor author | Arslan, Yunus Ziya | |
date accessioned | 2022-02-04T22:08:52Z | |
date available | 2022-02-04T22:08:52Z | |
date copyright | 2/19/2020 12:00:00 AM | |
date issued | 2020 | |
identifier issn | 0148-0731 | |
identifier other | bio_142_05_051014.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4274973 | |
description 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Direct Validation of Model-Predicted Muscle Forces in the Cat Hindlimb During Locomotion | |
type | Journal Paper | |
journal volume | 142 | |
journal issue | 5 | |
journal title | Journal of Biomechanical Engineering | |
identifier doi | 10.1115/1.4045660 | |
journal fristpage | 051014-1 | |
journal lastpage | 051014-13 | |
page | 13 | |
tree | Journal of Biomechanical Engineering:;2020:;volume( 142 ):;issue: 005 | |
contenttype | Fulltext |