ArticlePloS one2021
Identifying differences in gait adaptability across various speeds using movement synergy analysis.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Reduced-order analysis for gait kinematics of paraplegic patients based on spatiotemporal mode decomposition.Medical & biological engineering & computing · 2026Article
- Enhanced Gait Variability Index in Neurological and Geriatric Rehabilitation: A Scoping Review.NeuroRehabilitation · 2026Article
- 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
- "Frontiers in sports and active living · 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
- Gymnastics Experience Enhances the Development of Bipedal-Stance Multi-Segmental Coordination and Control During Proprioceptive Reweighting.Frontiers in psychology · 2021Article
- 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
2 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe aim of this study was to identify movement synergies during normal-walking that can differentiate healthy adults in terms of gait adaptability at various speeds. To this end, the association between movement synergies and lower-limb coordination variability or Deviation Phase (DP) was investigated. This study also investigated the moderating effect of movement synergies on the relationship between DP and the smoothness of arm-swing motion (NJI).
methodA principal component analysis of whole-body marker trajectories from normal-walking treadmill trials at 0.8m/s, 1.2m/s and 1.6m/s was undertaken. Both DP and NJI were derived from approx. 8 minutes of perturbed-walking treadmill trials. Principal movement components, PMk, were derived and the RMS of the 2nd-order differentiation of these PMk (PAkRMS) were included as independent variables representing the magnitude of neuromuscular control in each PMk. Each PAkRMS were input into maximal linear mixed-effects models against DP and (DP x NJI) respectively. A stepwise elimination of terms and comparison of models using Anova identified optimal models for both aims.
resultsThe principal movement related to the push-off mechanism of gait (PA4RMS) was identified as an optimal model and demonstrated a significant negative effect on DP however this effect may differ considerably across walking-speeds. An optimal model for describing the variance in (DP x NJI) included a fixed-effect of PA6RMS representing Right-Left side weight transfer was identified.
interpretationThe hypotheses that individuals who exhibited greater control on specific kinematic synergies would exhibit variations during perturbed walking was substantiated. Supporting evidence for the role of movement synergies during the double-support phase of gait in proactively correcting balance was presented as well as the potential for this approach in targeted rehabilitation. The potential influence of leg dominance on gait adaptability was also discussed. Future studies should investigate further the role of walking-speed and leg dominance on movement synergies and look to generalize these findings to patient populations.
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