Theses and Dissertations
Date of Award
8-2025
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Biomedical Engineering
First Advisor
Dumitru Caruntu
Second Advisor
Weiguang Yang
Third Advisor
Linfeng Wu
Abstract
This thesis investigates the biomechanical behavior of the human knee under varying conditions of motion, load, and fatigue, with a focus on clinical angle analysis and gait stability. Four studies were conducted using motion capture data and a modified Grood and Suntay Joint Coordinate System (JCS) to evaluate knee joint kinematics—specifically flexion-extension, abduction-adduction, and internal-external rotation. The first study examined the effects of incremental weight loads during isolated knee extension exercises, revealing dose-dependent increases in abduction and internal rotation that may contribute to joint stress. The second study assessed the impact of walking speed and asymmetric loading on gait, showing that altered speed and carrying a kettlebell induce measurable changes in clinical angles and stride patterns. The third study analyzed the combined effects of fatigue and asymmetric loading, finding that accumulated fatigue significantly increased flexion variability and stride instability. The final study introduced a Singular Value Decomposition (SVD)-based Gait Deviation Index (GDI) to quantify deviations in gait patterns, demonstrating its sensitivity to speed and load-induced kinematic changes across subjects. Together, these studies contribute a comprehensive understanding of how mechanical and physiological factors influence knee kinematics and gait stability, with implications for rehabilitation, injury prevention, and clinical gait assessment.
Recommended Citation
Trejo, A., Jr. (2025). Computational and experimental analysis of knee kinematics and gait variability: The effects of load, speed, and fatigue on human motion [Master's thesis, The University of Texas Rio Grande Valley]. ScholarWorks @ UTRGV. https://scholarworks.utrgv.edu/etd/1758

Comments
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