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A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion

Brown, Brandon
http://orcid.org/0000-0003-2596-6752
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037191

Abstract Details

2015, MS, University of Cincinnati, Engineering and Applied Science: Aerospace Engineering.
The weightless environment of space negatively affects the health and safety of astronauts. If long term space flight is to be achieved, astronauts must maintain the ability to work against gravity present on Earth when they return. Current exercise protocols need to be tailored to a weightless environment. Finite element modeling and differential equations representing bone growth can be used to tailor exercise. To make use of these methods, muscle forces need to be accurately predicted. This work examines two muscle force prediction techniques from the literature, namely inverse dynamics based static optimization and computed muscle control, to determine a method to be used for the tailoring of exercise protocols. A previous study compared static optimization and computed muscle control finding that they were equal in representing the timing of muscle activations. This is a similar study during a throwing motion but for five subjects and ten trials. This study compares resulting forces and activations of the biceps, triceps long and triceps lateral to electromyography through quantitative and statistical measures. Computed muscle control and static optimization are essentially equal in their ability to predict height of normalized electromyography. Computed muscle control is shown to be better at predicting timing of normalized electromyography as a statistically significant difference exists in time at peaks between each method and electromyography. A significant difference also exists in the average Pearson correlation coefficient between activations of each method and electromyography. It is further shown that both methods could be improved through scaling.
Grant Schaffner, Ph.D. (Committee Chair)
Ronald Huston, Ph.D. (Committee Member)
Kristin Yvonne Rozier, Ph.D. (Committee Member)
163 p.
Biomechanics
muscle force determination; computed muscle control; muscle activation; electromyography; static optimization; musculoskeletal modeling

Recommended Citations

Citations

  • Brown, B. (2015). A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037191

    APA Style (7th edition)

  • Brown, Brandon. A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion. 2015. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037191.

    MLA Style (8th edition)

  • Brown, Brandon. "A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion." Master's thesis, University of Cincinnati, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037191

    Chicago Manual of Style (17th edition)

ucin1448037191
1,288
© 2015, some rights reserved.Creative Commons License A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion by Brandon Brown is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.