Thesis (M.S.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains x, 122 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 78-83).

Dissertation (MSc)--University of Stellenbosch, 2008. / Bibliography. Also available via the Internet.

Thesis (Ph. D.)--University of Texas at Austin, 2001. / Vita. Includes bibliographical references (leaves 155-165). Available also in a digital version from Dissertation Abstracts.

Understanding possible variations in muscle activation patterns and its functional implications to movement control is crucial for rehabilitation. Inter-/intra-subject variability is often observed in muscle activity used for performing the same task in both healthy and impaired individuals. However, the extent to which muscle activation patterns can vary under specific neuromuscular conditions and differ in function are still not well understood. Current musculoskeletal modeling approaches using optimization techniques to identify a unique solution cannot adequately address such questions. Here I developed a novel computational framework using detailed musculoskeletal model to reveal the latitude the nervous system has in selecting muscle activation patterns for a given task regarding neuromechanical constraints. I focused on isometric hindlimb endpoint force generation task relevant to balance behavior in cats. By identifying the explicit bounds on activation of individual muscles defined by biomechanical constraints, I demonstrate ample range of feasible activation patterns that account for experimental variability. By investigating the possible neuromechanical bases of using the same muscle activation pattern across tasks, I demonstrate that demand for generalization can affect the selection of muscle activation pattern. By characterizing the landscape of the solution space with respect to multiple functional properties, I demonstrate a possible trade-off between effort and stability. This framework is a useful tool for understanding principles underlying functional or impaired movements. We may gain valuable insights to developing effective rehabilitation strategies and biologically-inspired control principles for robots.

published_or_final_version / Community Medicine / Master / Master of Public Health

No description available.

Background: Arthritis affects 53 million U.S. adults, more than two-thirds of whom are younger than age 65. Approximately 1/3 of working-age (18-64 years) U.S adults with arthritis report arthritis-attributable work limitation. Objectives: First, to take a population-based perspective to evaluate the association of arthritis with employment participation among U.S. adults. Next, to examine whether this association differs by sex, age, or other characteristics. Finally, to investigate effects of the Great Recession (December 2007 to June 2009) on employment and to determine if arthritis status moderated its effects. Methods: All three studies were conducted using the National Health Interview Survey (NHIS). The third study also used longitudinal data from the Medical Expenditures Panel Survey (MEPS) linked to NHIS. Results: These manuscripts are under peer-review for publication; limited results are presented: Study 1- Employment participation was always statistically significantly and substantially lower (e.g., >10 percentage points) among adults with arthritis compared with those without arthritis. Study 2- Overall, 20.1 million adults (10.4% [95% CI=10.1-10.8] of the working-age population) reported work disability. Study 3- During the period of the Great Recession, people with arthritis stopped work at higher rates and started work at lower rates than those without arthritis, suggesting at least some differential effect among those with arthritis. Conclusion: This work contributes new knowledge by establishing long-term patterns and benchmark information for employment participation, work disability, transitions, and macro economic effects among adults with and without arthritis in the U.S. A population-based, non-condition-specific approach of this type has not been previously reported.

No description available.

Background: Arthritis affects 53 million U.S. adults, more than two-thirds of whom are younger than age 65. Approximately 1/3 of working-age (18-64 years) U.S adults with arthritis report arthritis-attributable work limitation. Objectives: First, to take a population-based perspective to evaluate the association of arthritis with employment participation among U.S. adults. Next, to examine whether this association differs by sex, age, or other characteristics. Finally, to investigate effects of the Great Recession (December 2007 to June 2009) on employment and to determine if arthritis status moderated its effects. Methods: All three studies were conducted using the National Health Interview Survey (NHIS). The third study also used longitudinal data from the Medical Expenditures Panel Survey (MEPS) linked to NHIS. Results: These manuscripts are under peer-review for publication; limited results are presented: Study 1- Employment participation was always statistically significantly and substantially lower (e.g., >10 percentage points) among adults with arthritis compared with those without arthritis. Study 2- Overall, 20.1 million adults (10.4% [95% CI=10.1-10.8] of the working-age population) reported work disability. Study 3- During the period of the Great Recession, people with arthritis stopped work at higher rates and started work at lower rates than those without arthritis, suggesting at least some differential effect among those with arthritis. Conclusion: This work contributes new knowledge by establishing long-term patterns and benchmark information for employment participation, work disability, transitions, and macro economic effects among adults with and without arthritis in the U.S. A population-based, non-condition-specific approach of this type has not been previously reported.

Copies of author's previously published articles inserted at back / Bibliography: leaves 211-220 / viii, 220 leaves : ill ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Summary: Investigates various problems relating to scoliosis and manual load handling. Introduces the idea of deducing optimal load lifting techniques which take into into account multiple joint/muscle complexes / Thesis (Ph.D.)--University of Adelaide, Dept. of Applied Mathematics, 1994