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contributor authorChen, Xing
contributor authorYin, Yue Hong
date accessioned2017-05-09T01:05:43Z
date available2017-05-09T01:05:43Z
date issued2014
identifier issn0148-0731
identifier otherbio_136_12_121001.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154106
description abstractWith existent biomechanical models of skeletal muscle, challenges still exist in implementing realtime predictions for contraction statuses that are particularly significant to biomechanical and biomedical engineering. Because of this difficulty, this paper proposed a decoupled scheme of the links involved in the working process of a sarcomere and established a semiphenomenological model integrating both linear and nonlinear frames of no higher than a secondorder system. In order to facilitate engineering application and cybernetics, the proposed model contains a reduced number of parameters and no partial differential equation, making it highly concise and computationally efficient. Through the simulations of various contraction modes, including isometric, isotonic, successive stretch and release, and cyclic contractions, the correctness and efficiency of the model, are validated. Although this study targets halfsarcomeres, the proposed model can be easily extended to describe the largerscale mechanical behavior of a muscle fiber or a whole muscle.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Highly Efficient Semiphenomenological Model of a Half Sarcomere for Real Time Prediction of Mechanical Behavior
typeJournal Paper
journal volume136
journal issue12
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4028536
journal fristpage121001
journal lastpage121001
identifier eissn1528-8951
treeJournal of Biomechanical Engineering:;2014:;volume( 136 ):;issue: 012
contenttypeFulltext


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