Investigating a non-invasive method for determining muscle fiber composition
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2019
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| Online Access: | http://hdl.handle.net/1721.1/119934 |
| _version_ | 1811093882076659712 |
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| author | Treers, Laura |
| author2 | Anette Hosoi. |
| author_facet | Anette Hosoi. Treers, Laura |
| author_sort | Treers, Laura |
| collection | MIT |
| description | Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018. |
| first_indexed | 2024-09-23T15:52:12Z |
| format | Thesis |
| id | mit-1721.1/119934 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:52:12Z |
| publishDate | 2019 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1199342019-04-12T11:14:41Z Investigating a non-invasive method for determining muscle fiber composition Treers, Laura Anette Hosoi. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 39-40). This study aims to explore a new method for analysis of muscle fiber type, using data collected from weightlifts on a leg press. A dynamic muscle model is developed, which utilizes the Descherevskii kinetic theory in combination with a muscle "matrix" model to predict net muscle contraction forces and velocities as a function of fiber type. These relationships are integrated into a dynamic model for lifting a weight, allowing for the derivation of joint trajectories in time, from the molecular properties of muscle. The model-predicted velocity trajectories for the lift are compared with curves obtained experimentally from weightlifting trials. Longer lifts with slower peak velocities indicate higher ratios of slow-twitch fibers, and shorter lifts with greater peak velocities indicate higher ratios of fast-twitch fibers. This idea is supported by both the model results and in experimental trends. With further refinement of experimental protocols, the leg press test has the potential to be a powerful training tool for athletes-both to compare their muscle makeup with other athletes, and to track their own progress over the course of their training. by Laura Treers. S.B. 2019-01-11T16:03:37Z 2019-01-11T16:03:37Z 2018 2018 Thesis http://hdl.handle.net/1721.1/119934 1079909291 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 40 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Treers, Laura Investigating a non-invasive method for determining muscle fiber composition |
| title | Investigating a non-invasive method for determining muscle fiber composition |
| title_full | Investigating a non-invasive method for determining muscle fiber composition |
| title_fullStr | Investigating a non-invasive method for determining muscle fiber composition |
| title_full_unstemmed | Investigating a non-invasive method for determining muscle fiber composition |
| title_short | Investigating a non-invasive method for determining muscle fiber composition |
| title_sort | investigating a non invasive method for determining muscle fiber composition |
| topic | Mechanical Engineering. |
| url | http://hdl.handle.net/1721.1/119934 |
| work_keys_str_mv | AT treerslaura investigatinganoninvasivemethodfordeterminingmusclefibercomposition |