ArticleSensors (Basel, Switzerland)2022
Nonlinear Dynamic Measures of Walking in Healthy Older Adults: A Systematic Scoping Review.
Article 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 14 papers.
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Who cites it
14 citing papers in PubMed.
- Implicit learning provides advantage over explicit learning for gait-cognitive dual-task interference.Scientific reports · 2024Trial
- Hurst-Kolmogorov Process is a More Reliable and Statistically Powerful Alternative to Detrended Fluctuation Analysis for Estimating Hurst in Short Walking Trials.Annals of biomedical engineering · 2026Article
- Measuring Walking Stability with a Mobile Phone in Older Adults: A Validation Study.Sensors (Basel, Switzerland) · 2026Article
- Biomechanical Effects of the MIND&GAIT Exercise Program on Sit-to-Stand and Marching in Place Motor Coordination in Institutionalized Older Adults: Implications for Functional Stability.Healthcare (Basel, Switzerland) · 2026Article
- A systematic review and meta-analysis on dual-task sensor-based motion analysis for dementia detection.Frontiers in digital health · 2026Review
- Article
- Development of a Tool for Comprehensive Balance Assessment Based on Artificial Intelligence and Anomaly Detection.Life (Basel, Switzerland) · 2025Article
- A Comprehensive Understanding of Postural Tone Biomechanics: Intrinsic Stiffness, Functional Stiffness, Antagonist Coactivation, and COP Dynamics in Post-Stroke Adults.Sensors (Basel, Switzerland) · 2025Article
- What factors influence the willingness and intensity of regular mobile physical activity?- A machine learning analysis based on a sample of 290 cities in China.Frontiers in public health · 2025Article
- Local Dynamic Stability of Trunk During Gait Can Detect Dynamic Imbalance in Subjects with Episodic Migraine.Sensors (Basel, Switzerland) · 2024Article
- Biomechanical Assessment Methods Used in Chronic Stroke: A Scoping Review of Non-Linear Approaches.Sensors (Basel, Switzerland) · 2024Article
- Causal interactions and dynamic stability between limbs while walking with imposed leg constraints.Frontiers in human neuroscience · 2024Article
- Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson's Disease.Sensors (Basel, Switzerland) · 2023Article
- Movement variability in Pilates: a scoping review.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMaintaining a healthy gait into old age is key to preserving the quality of life and reducing the risk of falling. Nonlinear dynamic analyses (NDAs) are a promising method of identifying characteristics of people who are at risk of falling based on their movement patterns. However, there is a range of NDA measures reported in the literature. The aim of this review was to summarise the variety, characteristics and range of the nonlinear dynamic measurements used to distinguish the gait kinematics of healthy older adults and older adults at risk of falling.
methodsMedline Ovid and Web of Science databases were searched. Forty-six papers were included for full-text review. Data extracted included participant and study design characteristics, fall risk assessment tools, analytical protocols and key results.
resultsAmong all nonlinear dynamic measures, Lyapunov Exponent (LyE) was most common, followed by entropy and then Fouquet Multipliers (FMs) measures. LyE and Multiscale Entropy (MSE) measures distinguished between older and younger adults and fall-prone versus non-fall-prone older adults. FMs were a less sensitive measure for studying changes in older adults' gait. Methodology and data analysis procedures for estimating nonlinear dynamic measures differed greatly between studies and are a potential source of variability in cross-study comparisons and in generating reference values.
conclusionFuture studies should develop a standard procedure to apply and estimate LyE and entropy to quantify gait characteristics. This will enable the development of reference values in estimating the risk of falling.
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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.