title: Sensitivity of muscle force estimations to changes in muscle input parameters using nonlinear optimization approaches.
abstract: The purpose of this study was to analyze the sensitivity of muscle force calculations to changes in muscle input parameters. Force sharing between two synergistic muscles was derived analytically for a one-degree-of-freedom system using three nonlinear optimization approaches. Changes in input parameters that are within normal anatomical variations often caused changes in muscular forces exceeding 100 percent. These results indicate that errors in muscle force calculations may depend as much on inadequate muscle input parameters as they may on the choice of the objective and constraint functions of the optimization approach.
authors.affiliation: Human Performance Laboratory, Faculty of Physical Education, University of Calgary, Alberta, Canada.
authors.forename: W
authors.initials: W
authors.lastname: Herzog
mesh_terms: D008954:Models, Biological; D009132:Muscles / Q000502:physiology*; D012680:Sensitivity and Specificity