ArticleJournal of neuroengineering and rehabilitation2011
Kinematic variability, fractal dynamics and local dynamic stability of treadmill walking.
Article in Journal of neuroengineering and rehabilitation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.
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77 citing papers in PubMed.
- Does Nordic Walking restore the temporal organization of gait variability in Parkinson's disease?Journal of neuroengineering and rehabilitation · 2017Trial
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- Same geometry, different dynamics: what uncontrolled manifold (UCM) analysis misses about motor control.Experimental brain research · 2026Article
- Beyond gait speed: a multidimensional motor signature of motoric cognitive risk syndrome identified through domain-specific anomaly detection.GeroScience · 2026Article
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- The effect of sampling methods on the validity and reliability of the estimation of the orbital stability of human gait.Royal Society open science · 2025Article
- NONAN GaitPrint: An IMU gait database of healthy older adults.Scientific data · 2025Article
- Evaluating the Reliability and Consistency of Treadmill Gait Analysis Using an RGB-D Camera: Effects of Assistance and No Assistance.Sensors (Basel, Switzerland) · 2025Article
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- Leveraging feature selection for enhanced fall risk prediction in elderly using gait analysis.Medical & biological engineering & computing · 2024Article
- Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults.Sensors (Basel, Switzerland) · 2024Article
- Self-selected speed provides more accurate human gait kinematics and spatiotemporal parameters than overground simulated speed on a treadmill: a cross-sectional study.BMC sports science, medicine & rehabilitation · 2024Article
- The Cumulative Impacts of Fatigue during Overload Training Can Be Tracked Using Field-Based Monitoring of Running Stride Interval Correlations.Sensors (Basel, Switzerland) · 2024Article
- Smartphone usage during walking decreases the positive persistency in gait cycle variability.Scientific reports · 2024Article
- Effects of metronome walking on long-term attractor divergence and correlation structure of gait: a validation study in older people.Scientific reports · 2024Article
- Biomechanical Assessment Methods Used in Chronic Stroke: A Scoping Review of Non-Linear Approaches.Sensors (Basel, Switzerland) · 2024Article
- Stride-to-stride fluctuations and temporal patterns of muscle activity exhibit similar responses during walking to variable visual cues.Journal of biomechanics · 2024Article
- NONAN GaitPrint: An IMU gait database of healthy young adults.Scientific data · 2023Article
- Effects of overground gait training assisted by a wearable exoskeleton in patients with Parkinson's disease.Journal of neuroengineering and rehabilitation · 2023Article
- Better than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences.ArXiv · 2023Article
17 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
backgroundMotorized treadmills are widely used in research or in clinical therapy. Small kinematics, kinetics and energetics changes induced by Treadmill Walking (TW) as compared to Overground Walking (OW) have been reported in literature. The purpose of the present study was to characterize the differences between OW and TW in terms of stride-to-stride variability. Classical (Standard Deviation, SD) and non-linear (fractal dynamics, local dynamic stability) methods were used. In addition, the correlations between the different variability indexes were analyzed.
methodsTwenty healthy subjects performed 10 min TW and OW in a random sequence. A triaxial accelerometer recorded trunk accelerations. Kinematic variability was computed as the average SD (MeanSD) of acceleration patterns among standardized strides. Fractal dynamics (scaling exponent α) was assessed by Detrended Fluctuation Analysis (DFA) of stride intervals. Short-term and long-term dynamic stability were estimated by computing the maximal Lyapunov exponents of acceleration signals.
resultsTW did not modify kinematic gait variability as compared to OW (multivariate T(2), p=0.87). Conversely, TW significantly modified fractal dynamics (t-test, p=0.01), and both short and long term local dynamic stability (T(2) p=0.0002). No relationship was observed between variability indexes with the exception of significant negative correlation between MeanSD and dynamic stability in TW (3 × 6 canonical correlation, r=0.94).
conclusionsTreadmill induced a less correlated pattern in the stride intervals and increased gait stability, but did not modify kinematic variability in healthy subjects. This could be due to changes in perceptual information induced by treadmill walking that would affect locomotor control of the gait and hence specifically alter non-linear dependencies among consecutive strides. Consequently, the type of walking (i.e. treadmill or overground) is important to consider in each protocol design.
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