On Nonlinear Regression for Trends in Split-Belt Treadmill Training.

ABSTRACT: 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 training literature has not been fully utilising the fruits of these developments. In this research area, the current methods of model fitting and evaluation have three significant limitations: (i) optimisation algorithms that are used for model fitting require a good initial guess for regression parameters; (ii) the coefficient of determination (R2) is used for comparing and evaluating models, yet it is considered to be an inadequate measure of fit for nonlinear regression; and, (iii) inference is ba

SUBMITTER: Rashid U 

PROVIDER: S-EPMC7602156 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature