ArticleHealthcare (Basel, Switzerland)2021
Competitive and Recreational Running Kinematics Examined Using Principal Components Analysis.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Inconsistent Effects of Experience on Running Biomechanics May be Influenced by Study Heterogeneity and Classification Criteria: a Systematic Review and Proposal of a Revised Taxonomy.Sports medicine - open · 2025Pooled it
- Systematic Review on the Applicability of Principal Component Analysis for the Study of Movement in the Older Adult Population.Sensors (Basel, Switzerland) · 2022Pooled it
- [Progress and application of machine learning in sports injury research].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Review
- fNIRS-Based characterization of adolescent depression using dynamic functional connectivity biomarkers in a verbal fluency task.BMC psychiatry · 2026Article
- Effects of Foot-Strike Patterns During Running on Cumulative Load of Achilles Tendon Force, Plantar Fascia Force, and Patellofemoral Joint Stress.Journal of sports science & medicine · 2025Article
- Principal Components for Practice-Oriented Measurement of Running Technique: A Proof-Of-Concept Study.European journal of sport science · 2025Article
- Scoping Review of Machine Learning Techniques in Marker-Based Clinical Gait Analysis.Bioengineering (Basel, Switzerland) · 2025Review
- A new method applied for explaining the landing patterns: Interpretability analysis of machine learning.Heliyon · 2024Article
- PCA of Running Biomechanics after 5 km between Novice and Experienced Runners.Bioengineering (Basel, Switzerland) · 2023Article
- On-Field Biomechanical Assessment of High and Low Dive in Competitive 16-Year-Old Goalkeepers through Wearable Sensors and Principal Component Analysis.Sensors (Basel, Switzerland) · 2022Article
- New Insights for the Design of Bionic Robots: Adaptive Motion Adjustment Strategies During Feline Landings.Frontiers in veterinary science · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kinematics data are primary biomechanical parameters. A principal component analysis (PCA) of waveforms is a statistical approach used to explore patterns of variability in biomechanical curve datasets. Differences in experienced and recreational runners' kinematic variables are still unclear. The purpose of the present study was to compare any differences in kinematics parameters for competitive runners and recreational runners using principal component analysis in the sagittal plane, frontal plane and transverse plane. Forty male runners were divided into two groups: twenty competitive runners and twenty recreational runners. A Vicon Motion System (Vicon Metrics Ltd., Oxford, UK) captured three-dimensional kinematics data during running at 3.3 m/s. The principal component analysis was used to determine the dominating variation in this model. Then, the principal component scores retained the first three principal components and were analyzed using independent
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Registered trials
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