APPLICATION OF PRINCIPAL COMPONENT ANALYSIS IN THE STUDY OF TASKS WITH DIFFERENT MECHANICAL CONSTRAINTS
Keywords:
Landing Task, Principal Component Analysis, BiomechanicsAbstract
This study aims to compare the lower limb kinematics between two landing tasks, using the Principal Component Analysis (PCA) and parametric techniques. Ten male volleyball athletes performed bilateral vertical jumps with single leg or double leg landings. Hip, knee and ankle kinematics were used in the analysis. Statistical analysis was performed in the principal components coefficients (PCC) retained in the PCA and in the parametric variables. Only the first PCC presented differences in the three joints. The minimum peak showed differences in the ankle and knee, the maximum peak was different in the knee and hip and the mean angular displacement showed differences in the three joints. PCA described the differences presented by the parametric variables allowing the identification of the location where the variance between the landing tasks could be better explained.Downloads
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Methodology