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Gait Stability During Shod and Barefoot Walking and Running on a Treadmill Assessed by Correlation Entropy

  • Michael StöcklEmail author
  • Peter F. Lamb
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 663)

Abstract

This study tests correlation entropy, \(K_2\), as a measure of stability for gait analysis. An average of 13 strides from 10 participants in each combination of one footwear (barefoot vs shod) condition and one gait mode (walking vs running) were collected during treadmill walking and running. Sagittal plane ankle, knee and hip angular displacement and velocity data were used for analysis. Two-way repeated measures ANOVA showed a main effect for gait mode (\(p=.03\)) – running had lower \(K_2\) than walking, indicating higher stability. Although the sample of strides and participants was small, we speculate that the greater inertia for running helped stabilize movement control, making the running coordination pattern more resilient against small stride-to-stride perturbations.

Keywords

Correlation entropy Gait Biomechanics Dynamical systems 

Notes

Acknowledgements

We thank Divya Adhia for her help with data collection and cleaning. We also acknowledge the support of the University of Otago Research Grant for allowing us to collect the pilot data used in the current study.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.University of ViennaViennaAustria
  2. 2.University of OtagoDunedinNew Zealand

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