Fractal analysis of muscle activity patterns during locomotion: pitfalls and how to avoid them (Q6681094)

Despite the lack of consensus on how to perform fractal analysis of physiological time series, many studies rely on this technique. Here, we shed light on the potential pitfalls of using the Higuchis fractal dimension (HFD) and the Hurst exponent (H). We expose and suggest how to solve the drawbacks of such methods when applied to data from normal and perturbed locomotion by combining in vivo recordings and computational approaches. In thissupplementary data set we made available: a) the metadata file metadata.dat; b) the baseline signals file baseline_data.RData; c) the R script fractal_analysis.R to calculate the H and HFD of the baseline data and produce the log-log plots. Explanatory comments are profusely present throughout the script and in the metadata file.