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Comparison of muscle function predictions using mass-enhanced and massless Hill-type muscle models in human locomotion

Resource type
Thesis type
(Thesis) M.Sc.
Date created
2024-02-21
Authors/Contributors
Author (aut): Chen, Ing-Jeng (Evan)
Abstract
Muscle mass significantly shapes skeletal muscle behavior and might partially clarify why traditional massless Hill-type models struggle to predict larger muscle functions in dynamic, submaximal contractions. However, the applicability of mass-enhanced Hill-type models in human locomotion remains unexplored. In my thesis, I compared predictions of human muscle performance (force, work output) between mass-enhanced and massless Hill-type models across varied scaled muscle sizes, tasks, and locomotion conditions. I observed minor but noteworthy mass effects in human-sized muscles across different tasks and muscles, escalating with scaled muscle mass. These effects were more pronounced at higher cycling cadences, unaffected by crank loads. Additionally, increased muscle mass resulted in a reduction in muscle mechanical work per cycle.
Document
Extent
73 pages.
Identifier
etd22916
Copyright statement
Copyright is held by the author(s).
Permissions
This thesis may be printed or downloaded for non-commercial research and scholarly purposes.
Supervisor or Senior Supervisor
Thesis advisor (ths): Wakeling, James
Language
English
Download file Size
etd22916.pdf 2.38 MB

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