On Nonlinear Regression for Trends in Split-Belt Treadmill Training

On Nonlinear Regression for Trends in Split-Belt Treadmill Training

Single and double exponential models fitted to step length symmetry series are used to evaluate the timecourse of adaptation and de-adaptation in instrumented split-belt treadmill tasks. Whilst the nonlinear regression literature has developed substantially over time, the split-belt treadmill traini...

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Bibliographic Details
Main Authors: Usman Rashid, Nitika Kumari, Nada Signal, Denise Taylor, Alain C. Vandal
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Brain Sciences
Subjects:
motor training
gait analysis
split-belt treadmill
step length symmetry
nonlinear regression
particle swarm optimisation (PSO)
Online Access:https://www.mdpi.com/2076-3425/10/10/737

Internet

https://www.mdpi.com/2076-3425/10/10/737

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