ArticleFrontiers in neuroinformatics2019
PManalyzer: A Software Facilitating the Study of Sensorimotor Control of Whole-Body Movements.
Article in Frontiers in neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Principal Components for Practice-Oriented Measurement of Running Technique: A Proof-Of-Concept Study.European journal of sport science · 2025Article
- Changes in Walking Stability at Different Percentages of Preferred Walking Speed in Healthy Young and Older Adults: Insights From Movement Component Analysis.TheScientificWorldJournal · 2025Article
- Age and Visual Contribution Effects on Postural Control Assessed by Principal Component Analysis of Kinematic Marker Data.Sports (Basel, Switzerland) · 2023Article
- Walking Stability and Risk of Falls.Bioengineering (Basel, Switzerland) · 2023Article
- Distinct coordination patterns integrate exploratory head movements with whole-body movement patterns during walking.Scientific reports · 2023Article
- Assessing Walking Stability Based on Whole-Body Movement Derived from a Depth-Sensing Camera.Sensors (Basel, Switzerland) · 2022Article
- Sex Difference in Running Stability Analyzed Based on a Whole-Body Movement: A Pilot Study.Sports (Basel, Switzerland) · 2022Article
- Intervention for Better Knee Alignment during Jump Landing: Is There an Effect of Internally vs. Externally Focused Instructions?International journal of environmental research and public health · 2022Article
- Whole-body movement analysis using principal component analysis: What is the internal consistency between outcomes originating from the same movement simultaneously recorded with different measurement devices?Frontiers in bioengineering and biotechnology · 2022Article
- Quantitative downhill skiing technique analysis according to ski instruction curricula: A proof-of-concept study applying principal component analysis on wearable sensor data.Frontiers in bioengineering and biotechnology · 2022Article
- Gymnastics Experience Enhances the Development of Bipedal-Stance Multi-Segmental Coordination and Control During Proprioceptive Reweighting.Frontiers in psychology · 2021Article
- Identifying differences in gait adaptability across various speeds using movement synergy analysis.PloS one · 2021Article
- Sex-Specific Hip Movement Is Correlated With Pelvis and Upper Body Rotation During Running.Frontiers in bioengineering and biotechnology · 2021Article
- Adolescent Awkwardness: Alterations in Temporal Control Characteristics of Posture with Maturation and the Relation to Movement Exploration.Brain sciences · 2020Article
- Leg Dominance Effects on Postural Control When Performing Challenging Balance Exercises.Brain sciences · 2020Article
- How Do Movement Patterns in Weightlifting (Clean) Change When Using Lighter or Heavier Barbell Loads?-A Comparison of Two Principal Component Analysis-Based Approaches to Studying Technique.Frontiers in psychology · 2020Article
- Analysis of Postural Control Using Principal Component Analysis: The Relevance of Postural Accelerations and of Their Frequency Dependency for Selecting the Number of Movement Components.Frontiers in bioengineering and biotechnology · 2020Article
- Should the Minimal Intervention Principle Be Considered When Investigating Dual-Tasking Effects on Postural Control?Brain sciences · 2019Article
- Leg Dominance as a Risk Factor for Lower-Limb Injuries in Downhill Skiers-A Pilot Study into Possible Mechanisms.International journal of environmental research and public health · 2019Article
- Effects of On- and Off-Medication Periods on Walking Performance in Parkinson's Disease: Insights from Movement Synergies.Digital biomarkersArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motion analysis is used to study the functionality or dysfunctionality of the neuromuscular system, as human movements are the direct outcome of neuromuscular control. However, motion analysis often relies on measures that quantify simplified aspects of a motion, such as specific joint angles, despite the well-known complexity of segment interactions. In contrast, analyzing whole-body movement patterns may offer a new understanding of movement coordination and movement performance. Clinical research and sports technique evaluations suggest that principal component analysis (PCA) provides novel and valuable insights into control aspects of the neuromuscular system and how they relate to coordinative patterns. However, the implementation of PCA computations are time consuming, and require mathematical knowledge and programming skills, drastically limiting its application in current research. Therefore, the aim of this study is to present the Matlab software tool "PManalyzer" to facilitate and encourage the application of state-of-the-art PCA concepts in human movement science. The generalized PCA concepts implemented in the PManalyzer allow users to apply a variety of marker set independent PCA-variables on any kinematic data and to visualize the results with customizable plots. In addition, the extracted movement patterns can be explored with video options that may help testing hypotheses related to the interplay of segments. Furthermore, the software can be easily modified and adapted to any specific application.
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