ArticleAnnals of biomedical engineering2019
Selection Procedures for the Largest Lyapunov Exponent in Gait Biomechanics.
Article in Annals of biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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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
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessing running stability: a systematic review of methods.BMC sports science, medicine & rehabilitation · 2026Pooled it
- Effects of an actuated ankle exoskeleton on walking stability in healthy adults: a controlled laboratory study.Journal of neuroengineering and rehabilitation · 2026Trial
- Implicit learning provides advantage over explicit learning for gait-cognitive dual-task interference.Scientific reports · 2024Trial
- Running barefoot leads to lower running stability compared to shod running - results from a randomized controlled study.Scientific reports · 2021Trial
- The effects of walking speed and mobile phone use on the walking dynamics of young adults.Scientific reports · 2021Trial
- Movement Dynamics of Treadmill Running Within the Different Exercise Intensity Domains in Male Runners.European journal of sport science · 2026Article
- The Effects of Shoe Sole Thickness on Running Style and Stability During Downhill Running at Different Speeds.European journal of sport science · 2026Article
- Running style and stability during uphill running are largely preserved with increasing shoe sole thickness.PloS one · 2026Article
- Impact of Fatigue on Spine Dynamic Stability and Gait Patterns in Runners with Moderate Flatfoot Versus Normal Arch.Bioengineering (Basel, Switzerland) · 2025Article
- Effect of Running Speed on Gait Variability in Individuals with Functional Ankle Instability.Entropy (Basel, Switzerland) · 2025Article
- Revascularization Enhances Walking Dynamics in Patients with Peripheral Artery Disease.Applied mechanics (Basel, Switzerland) · 2025Article
- Multiple Sclerosis Classification Using the Local Divergence Exponent: Parameters Selection for State-Space Reconstruction.Sensors (Basel, Switzerland) · 2025Article
- The effects of running shoe stack height on running style and stability during level running at different running speeds.Frontiers in bioengineering and biotechnology · 2025Article
- Study on the motor development and biomechanical characteristics of children aged 3-5 years.Frontiers in public health · 2025Article
- The effect of running experience and speed on local dynamic stability in running.Frontiers in sports and active living · 2025Article
- How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression.Applied sciences (Basel, Switzerland) · 2024Article
- Local Dynamic Stability of Trunk During Gait Can Detect Dynamic Imbalance in Subjects with Episodic Migraine.Sensors (Basel, Switzerland) · 2024Article
- Effects of the kinematic variable, time delay and data length on test-retest reliability of the maximal Lyapunov exponent of human walking.Royal Society open science · 2024Article
- Differences in Trunk Acceleration-Derived Gait Indexes in Stroke Subjects with and without Stroke-Induced Immunosuppression.Sensors (Basel, Switzerland) · 2024Article
- Local Dynamic Stability of Trunk During Gait is Responsive to Rehabilitation in Subjects with Primary Degenerative Cerebellar Ataxia.Cerebellum (London, England) · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The present study was aimed at investigating the effectiveness of the Wolf et al. (LyE_W) and Rosenstein et al. largest Lyapunov Exponent (LyE_R) algorithms to differentiate data sets with distinctly different temporal structures. The three-dimensional displacement of the sacrum was recorded from healthy subjects during walking and running at two speeds; one low speed close to the preferred walking speed and one high speed close to the preferred running speed. LyE_R and LyE_W were calculated using four different time series normalization procedures. The performance of the algorithms were evaluated based on their ability to return relative low values for slow walking and fast running and relative high values for fast walking and slow running. Neither of the two algorithms outperformed the other; however, the effectiveness of the two algorithms was highly dependent on the applied time series normalization procedure. Future studies using the LyE_R should normalize the time series to a fixed number of strides and a fixed number of data points per stride or data points per time series while the LyE_W should be applied to time series normalized to a fixed number of data points or a fixed number of strides.
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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.