Once appropriate models had been established as potential fits for the normative data, it was possible to fit the models to the data using a curve-fitting algorithm (cftool, Matlab, The MathWorks). We applied nonlinear least squares regression and a trust-region algorithm critical to evaluating the curve-fitting fidelity.
Cftool
Manufactured by MathWorks
Sourced in United States
Cftool is a MATLAB-based software tool that provides curve fitting capabilities. It allows users to fit curves to data, estimate model parameters, and analyze the goodness of fit. Cftool provides a graphical user interface for interactive curve fitting and analysis.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using cftool
1
Curve Fitting for Normative Data
2
Transcranial Direct Current Stimulation Effects on Muscle Activation
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The delays in initiation and termination of muscle activity during baseline trials were tested for normal distribution by the univariate Lilliefors test ('lillietest’ in Matlab R2010a, The MathWorks, Inc., USA) for each tDCS group - M1, cerebellar, sham. Then, a balanced two-way (tDCS target: M1, cerebellar, sham x step-response type: step-up, step-down) ANOVA ('anova2’ in Matlab R2010a, The MathWorks, Inc., USA) was conducted on the step-response, i.e., the delay in initiation and termination of muscle activity during the baseline trials.
The normalized response latency and the mean absolute ERROR during the last 5 myoelectric visual pursuit trials (Trial# 2–6) were assessed by fitting the performance with a power law function [33 ] using the Levenberg-Marquardt algorithm ('cftool’ in Matlab R2010a, The MathWorks, Inc., USA). The 95% confidence bounds of the coefficients of the fitted power law function were compared for the tDCS groups: M1, cerebellar, sham.
The normalized response latency and the mean absolute ERROR during the last 5 myoelectric visual pursuit trials (Trial# 2–6) were assessed by fitting the performance with a power law function [33 ] using the Levenberg-Marquardt algorithm ('cftool’ in Matlab R2010a, The MathWorks, Inc., USA). The 95% confidence bounds of the coefficients of the fitted power law function were compared for the tDCS groups: M1, cerebellar, sham.
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