Computational evaluation of load carriage effects on gait balance stability

Carlotta Mummolo, Sukyung Park, Luigi Mangialardi, Joo H. Kim

Research output: Contribution to journalArticle

Abstract

Evaluating the effects of load carriage on gait balance stability is important in various applications. However, their quantification has not been rigorously addressed in the current literature, partially due to the lack of relevant computational indices. The novel Dynamic Gait Measure (DGM) characterizes gait balance stability by quantifying the relative effects of inertia in terms of zero-moment point, ground projection of center of mass, and time-varying foot support region. In this study, the DGM is formulated in terms of the gait parameters that explicitly reflect the gait strategy of a given walking pattern and is used for computational evaluation of the distinct balance stability of loaded walking. The observed gait adaptations caused by load carriage (decreased single support duration, inertia effects, and step length) result in decreased DGM values (p < 0.0001), which indicate that loaded walking motions are more statically stable compared with the unloaded normal walking. Comparison of the DGM with other common gait stability indices (the maximum Floquet multiplier and the margin of stability) validates the unique characterization capability of the DGM, which is consistently informative of the presence of the added load.

Original languageEnglish (US)
Pages (from-to)1127-1136
Number of pages10
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume19
Issue number11
DOIs
StatePublished - Aug 17 2016

Keywords

  • Balance stability
  • Dynamic Gait Measure
  • dynamic walking
  • gait stability
  • load carriage

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

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