2026-09-20T00:29:26Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1519132023-08-24T03:43:42Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Raman, Ritu
Lynch, Naomi L.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2023-08-23T16:18:42Z
2023-08-23T16:18:42Z
2023-06
2023-07-19T18:45:26.411Z
https://hdl.handle.net/1721.1/151913
0000-0001-8655-7472
Tissue engineering provides an avenue for improving our understanding of the contractile mechanisms of muscle. 3D engineered muscle models have been developed that mimic the structure and functionality of native muscle. These models have the potential to be used in a wide variety of clinical applications such as neuromuscular disease modeling and drug therapy testing. The contractile mechanisms of engineered muscle are often quantified by constraining the muscle on an elastomeric scaffold and measuring the scaffold’s deformation; however, structural imperfections in the scaffold can negatively impact the accuracy of the recorded contractile data. This paper proposes using a flexure-based device that enables decoding of muscle physiological signals – such as contraction force, contraction time, and relaxation time – in a more precise, reproducible, and automated manner.
S.M.
Massachusetts Institute of Technology
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Copyright retained by author(s)
https://creativecommons.org/licenses/by-nc-nd/4.0/
Flexure-Based Device Enables Precise Quantitative Monitoring of Muscle Performance
Thesis
application/pdf
Master
Master of Science in Mechanical Engineering
Publication
unknown
unknown
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<Abstract>Tissue engineering provides an avenue for improving our understanding of the contractile mechanisms of muscle. 3D engineered muscle models have been developed that mimic the structure and functionality of native muscle. These models have the potential to be used in a wide variety of clinical applications such as neuromuscular disease modeling and drug therapy testing. The contractile mechanisms of engineered muscle are often quantified by constraining the muscle on an elastomeric scaffold and measuring the scaffold’s deformation; however, structural imperfections in the scaffold can negatively impact the accuracy of the recorded contractile data. This paper proposes using a flexure-based device that enables decoding of muscle physiological signals – such as contraction force, contraction time, and relaxation time – in a more precise, reproducible, and automated manner.</Abstract>
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