Open Access. Powered by Scholars. Published by Universities.®
Biomedical Engineering and Bioengineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Publication
Articles 1 - 4 of 4
Full-Text Articles in Biomedical Engineering and Bioengineering
Predicted Gait Modifications To Reduce The Peak Knee Adduction Torque, B. J. Fregly, K. L. Rooney, Jeffrey A. Reinbolt
Predicted Gait Modifications To Reduce The Peak Knee Adduction Torque, B. J. Fregly, K. L. Rooney, Jeffrey A. Reinbolt
Jeffrey A. Reinbolt
No abstract provided.
Creation Of Patient-Specific Dynamic Models From Three-Dimensional Movement Data Using Optimization, Jeffrey A. Reinbolt, B. J. Fregly
Creation Of Patient-Specific Dynamic Models From Three-Dimensional Movement Data Using Optimization, Jeffrey A. Reinbolt, B. J. Fregly
Jeffrey A. Reinbolt
No abstract provided.
Regional Osteoporosis In The Spinal Cord Of Disabled War Veterans, Hossein Gholizadeh
Regional Osteoporosis In The Spinal Cord Of Disabled War Veterans, Hossein Gholizadeh
Hossein Gholizadeh
Introduction: Osteoporosis, the result of an imbalance between bone resorption and bone formation, is a potential problem for patients with spinal cord injury (SCI) because of immobility commonly associated with this impairment. Bone mineral content decreases by 25% to 50% and the magnitude of this reduction is dependent on the level, completeness and duration of SCI. This study was designed to evaluate osteoporosis in war veterans with SCI in Isfahan province. Methods: In this cross-sectional study, by use of a cluster sampling frame, SCI veterans underwent-dualenergy X-ray absorptiometry (DEXA) to define bone mineral density (BMD) in 2nd to 4th lumbar …
Evaluation Of The Particle Swarm Algorithm For Biomechanical Optimization, J. F. Schutte, B. I. Koh, Jeffrey A. Reinbolt, B. J. Fregly, R. T. Haftka, A. D. George
Evaluation Of The Particle Swarm Algorithm For Biomechanical Optimization, J. F. Schutte, B. I. Koh, Jeffrey A. Reinbolt, B. J. Fregly, R. T. Haftka, A. D. George
Jeffrey A. Reinbolt
Optimization is frequently employed in biomechanics research to solve system identification problems, predict human movement, or estimate muscle or other internal forces that cannot be measured directly. Unfortunately, biomechanical optimization problems often possess multiple local minima, making it difficult to find the best solution. Furthermore, convergence in gradient-based algorithms can be affected by scaling to account for design variables with different length scales or units. In this study we evaluate a recentlydeveloped version of the particle swarm optimization (PSO) algorithm to address these problems. The algorithm’s global search capabilities were investigated using a suite of difficult analytical test problems, while …