SynthesisSensors (Basel, Switzerland)2022
Systematic Review on the Applicability of Principal Component Analysis for the Study of Movement in the Older Adult Population.
Synthesis in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Multivariate Characterization of Gait Variability Under Simulated Ship Roll Motion.Bioengineering (Basel, Switzerland) · 2026Article
- A pilot study on aging-related effects on step performance: The role of muscle quality, size, and strength.Scientific reports · 2026Article
- Association Between Cellular Hydration Patterns and Hydroelectrolytic Regulation with Muscle Strength in Older Adults.Nutrients · 2026Article
- Interpretable Biomechanical Feature Selection for VR Exercise Assessment Using SHAP and LDA.Sensors (Basel, Switzerland) · 2026Article
- Dynamic transitions in falls and physical activity among older adults in Malaysia: a longitudinal multi-state analysis.BMC public health · 2025Article
- Kinematic and Kinetic Gait Principal Component Domains in Older Adults With and Without Functional Disability: A Cross-Sectional Study.Journal of functional morphology and kinesiology · 2025Article
- Innovative Digital Phenotyping Method to Assess Body Representations in Autistic Adults: A Perspective on Multisensor Evaluation.Sensors (Basel, Switzerland) · 2024Article
- Exploration and demonstration of explainable machine learning models in prosthetic rehabilitation-based gait analysis.PloS one · 2024Article
- Effects of On- and Off-Medication Periods on Walking Performance in Parkinson's Disease: Insights from Movement Synergies.Digital biomarkersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Principal component analysis (PCA) is a dimensionality reduction method that has identified significant differences in older adults' motion analysis previously not detected by the discrete exploration of biomechanical variables. This systematic review aims to synthesize the current evidence regarding PCA use in the study of movement in older adults (kinematics and kinetics), summarizing the tasks and biomechanical variables studied. From the search results, 1685 studies were retrieved, and 19 studies were included for review. Most of the included studies evaluated gait or quiet standing. The main variables considered included spatiotemporal parameters, range of motion, and ground reaction forces. A limited number of studies analyzed other tasks. Further research should focus on the PCA application in tasks other than gait to understand older adults' movement characteristics that have not been identified by discrete analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.