|SUBJECT:||M.S. Thesis Presentation|
|TIME:||Wednesday, April 20, 2016, 11:00 a.m.|
|PLACE:||Whitaker Ford Building, 3115|
|TITLE:||The Effect of Muscle and Kinematic Complexity on Feasible Forces and Muscle Activations in a Model of the Human Leg|
|COMMITTEE:||Dr. Lena Ting, Chair (BME/ME)
Dr. Jun Ueda (ME)
Dr. Harvey Lipkin (ME)
The degree to which muscle activity is controlled by neural selection or determined by biomechanics is unresolved; musculoskeletal redundancy allows for an unknown amount of variation in the muscle activation patterns. Computational musculoskeletal models can help answer questions about redundancy, but contradictory results are found in the literature. Some studies suggest wide ranges of nervous control options, while others suggest biomechanics largely determine muscle coordination. We hypothesized that contradictory results are due to different model complexity, and that models with more realistic complexity allow for more variability in muscle coordination.