Assessment of local dynamic stability in gait based on univariate and multivariate time series

DOI10.1155/2019/6917658zbMath1423.92013OpenAlexW2963077908WikidataQ92713149 ScholiaQ92713149MaRDI QIDQ2332561

Adam Switonski, Piotr Grabiec, Konrad Wojciechowski, Agnieszka Michalczuk, Magdalena Pawlyta, Henryk Josinski

Publication date: 4 November 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/6917658

zbMATH Keywords

largest Lyapunov exponentgaitlocal dynamic stabilityunivariate and multivariate time series

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomechanics (92C10)

Cites Work

• The multivariate largest Lyapunov exponent as an age-related metric of quiet standing balance
• Dynamics from multivariate time series
• A practical method for calculating largest Lyapunov exponents from small data sets
• Nonlinear time series analysis of normal and pathological human walking
• The dynamics of human gait

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