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Related Experiment Video

Updated: Oct 12, 2025

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

Persistence and anti-persistence in treadmill walking.

Klaudia Kozlowska¹, Miroslaw Latka¹, Bruce J West²

¹Department of Biomedical Engineering, Wroclaw University of Science and Technology, Faculty of Fundamental Problems of Technology, Wroclaw, 50-370, Poland.

|November 22, 2021

Summary

This summary is machine-generated.

Random treadmill belt speed changes create persistent gait trends and anti-persistent fluctuations. This impacts stride time (ST) and stride length (SL) scaling, influencing gait dynamics during perturbed walking.

Keywords:

Gait control Perturbations Scaling exponent Treadmill

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Area of Science:

Biomechanics
Human gait analysis
Dynamical systems

Background:

Human gait exhibits persistent correlations in stride time (ST) and stride length (SL).
Gait dynamics arise from the interplay of large-scale trends and small-scale fluctuations (residuals).
Trends act as control manifolds for ST and SL variations.

Purpose of the Study:

To investigate the effect of random treadmill belt speed perturbations on gait trend properties.
To determine how these perturbations influence the scaling exponents of ST and SL.

Main Methods:

Multivariate Adaptive Regression Splines (MARS) were used to identify gait trends under random speed variations.
Scaling exponents for ST and SL time series and their residuals were calculated using the madogram estimator.
Treadmill speeds of 0.8, 1.2, and 1.6 m/s were tested with varying levels of random noise.

Main Results:

Random perturbations significantly increased normalized trend duration compared to unperturbed walking.
The width of ST and SL trend slope distributions decreased with increasing speed.
ST/SL scaling indices generally approached 0.5, with residuals showing strong anti-persistence.

Conclusions:

Random belt speed perturbations can alter gait trend characteristics and scaling exponents.
The combination of persistent trends and anti-persistent fluctuations influences overall ST/SL time series persistence.
These findings provide insights into gait adaptability under dynamic conditions.