{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/119934"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/119934","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Investigating a non-invasive method for determining muscle fiber composition","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Treers, Laura"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Mechanical Engineering.","school":null,"contributors":[],"advisors":["Anette Hosoi."],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-22T22:22:17Z","subjects":["Mechanical Engineering."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/119934"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 39-40)."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.B."]},{"key":"dc:title","label":"Title","values":["Investigating a non-invasive method for determining muscle fiber composition"]}]}],"canonical_facts":{"dc:contributor.advisor":["Anette Hosoi."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Mechanical Engineering."],"dc:contributor.other":["Massachusetts Institute of Technology. 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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."],"dc:description.degree":["S.B."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/119934"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["MIT theses are protected by copyright. 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