Gonzalez-Rubio et al., 2019 -Explicit Temporal Control
2019-12-19T21:42:17Z (GMT) by
The data supporting the conclusions of the manuscript ("Explicit control of step timing during split-belt walking reveals interdependent recalibration of movements in space and time") are available in this data set (https://doi.org/10.3389/fnhum.2019.00207). More information on how to reproduce the Figures from the article can be found in OSF (https://osf.io/eq6f9/).
Here is a list of the names of the parameters in the code and their corresponding names in the paper: 'Sout' -> 'Sout', 'Tout' -> 'Tout', 'Serror' -> 'Leg Orientation Asymmetry (SA)', 'Terror' -> 'DS Time,Asymmetry (TA)', 'Sgoal' -> 'Range of Motion Asymmetry (SnA)', 'Tgoal' -> 'Stance Time Asymmetry (TnA)'.
Name correspondence in the code for the groups: 'StepTimeStudyControl' -> 'Control', 'StepTimeStudy' -> 'Temporal Feedback', 'AlphaFeedback' -> 'Spatial Feedback'.
Name correspondence in the code for the epochs: 'InitialWash' -> 'After-Effects', 'TMsteady' -> 'Steady State'.
The data provided here is a Matlab group object file (.mat). Once it is loaded to the workspace of the software, it will be organized by groups. Each group has the ID for each subject in a 1x7 cell (each column will be a subject), and the column number will be the same for the individual data which can be found in the 1x7 cell called "adaptData".
On each subjects' adaptData there is information on the experiment ("metaData"), information on the subject ("subData"), and all the experiment measured parameters ("data").
Inside of each subjects' data you can find each one of the parameters names previously defined that were used in the paper under ("Data"). The matrix with the data is a nx187 where the rows represent the strides and the columns the parameters. You can find the column that correspond to your parameter by looking into "labels" and we also provide explanations on the computations in "description".