The application of the Lyapunov Exponent to analyse human performance: A systematic review

Lachlan Winter*, Paul Taylor, Clint Bellenger, Paul Grimshaw, Robert G. Crowther

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

12 Citations (Scopus)

Abstract

Variability is a normal component of human movement, allowing one to adapt to environmental perturbations. It can be analysed from linear or non-linear perspectives. The Lyapunov Exponent (LyE) is a commonly used non-linear technique, which quantifies local dynamic stability. It has been applied primarily to walking gait and appears to be limited application in other movements. Therefore, this systematic review aims to summarise research methodologies applying the LyE to movements, excluding walking gait. Four databases were searched using keywords related to movement variability, dynamic stability, LyE and divergence exponent. Articles written in English, using the LyE to analyse movements, excluding walking gait were included for analysis. 31 papers were included for data extraction. Quality appraisal was conducted and information related to the movement, data capture method, data type, apparatus, sampling rate, body segment/joint, number of strides/steps, state space reconstruction, algorithm, filtering, surrogation and time normalisation were extracted. LyE values were reported in supplementary materials (Appendix 2). Running was the most prevalent non-walking gait movement assessed. Methodologies to calculate the LyE differed in various aspects resulting in different LyE values being generated. Additionally, test-retest reliability, was only conducted in one study, which should be addressed in future.

Original languageEnglish
Pages (from-to)1994-2013
Number of pages20
JournalJournal of Sports Sciences
Volume41
Issue number22
DOIs
Publication statusPublished - 2023

Keywords

  • Dynamic stability
  • movement variability: Lyapunov Exponent

Fingerprint

Dive into the research topics of 'The application of the Lyapunov Exponent to analyse human performance: A systematic review'. Together they form a unique fingerprint.

Cite this