Runners with patellofemoral pain demonstrate sub-groups of pelvic acceleration profiles using hierarchical cluster analysis: an exploratory cross-sectional study.
Date
2018-04-19
Journal Title
Journal ISSN
Volume Title
Publisher
BMC Musculoskelet Disord
Abstract
Previous studies have suggested that distinct and homogenous sub-groups of gait patterns exist among runners with patellofemoral pain (PFP), based on gait analysis. However, acquisition of 3D kinematic data using optical systems is time consuming and prone to marker placement errors. In contrast, axial segment acceleration data can represent an overall running pattern, being easy to acquire and not influenced by marker placement error. Therefore, the purpose of this study was to determine if pelvic acceleration patterns during running could be used to classify PFP patients into homogeneous sub-groups. A secondary purpose was to analyze lower limb kinematic data to investigate the practical implications of clustering these subjects based on 3D pelvic acceleration data.
Description
Keywords
Patellofemoral pain, Running kinematics, Pelvic acceleration, Gait analysis, Biomechanics, Principal component analysis, Cluster analysis
Citation
Watari, R., Osis, S. T., Phinyomark, A., Ferber, R. (2018). Runners with patellofemoral pain demonstrate sub-groups of pelvic acceleration profiles using hierarchical cluster analysis: an exploratory cross-sectional study. BMC Musculoskelet Disord. 19 (120). https://doi.org/10.1186/s12891-018-2045-3.