Data and Code for: Interlimb coordination in Parkinson's Disease is affected by a visuospatial dual task

This results of this research are fully reproducible using the source code, Jupyter notebooks, and raw data used to produce the results for the above titled project. Raw data included in this repository: raw motion capture trials, as .c3d files system output from CAREN control software, D-Flow (includes treadmill speed, etc) OpenSim models Instructions To run this analysis on your computer, both Julia and Jupyter (notebook or lab) must be installed. A version of Julia appropriate for your OS can be downloaded from the Julia website, and Jupyter can be installed from within Julia (in the REPL) with ] add IJulia Alternate instructions for installing Jupyter can be found on the IJulia github or the Jupyter homepage (not recommended). From within the main repository directory, start Julia and then start Jupyter in the Julia REPL using IJulia notebook(;dir=pwd()) or if using a system Jupyter installation, start Jupyter from your favorite available shell (e.g. Powershell on Windows, bash on any *nix variant, etc.). The primary analysis is found in the Analysis notebook. Two other notebooks related to this research are also included.This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grant RGPIN-2016-04928, NSERC Accelerator supplement RGPAS 493045-2016 and by the Ontario Ministry of Research, Innovation and Science Early Researcher Award (ERA) 16-12-206