The code and data related to the paper titled "Complexity of spatiotemporal plantar pressure patterns during everyday behaviours"

Published manuscript is published in the Journal of the Royal Society Interface, DOI: 10.1098/rsif.2023.0052

References

Cleland, L. D., Rowland, H. M., Mazzà, C., & Saal, H. P. (2023). Complexity of spatiotemporal plantar pressure patterns during everyday behaviours. Journal of the Royal Society Interface.

Paper authors:

• Luke D Cleland^1,3* - ldcleland1@sheffield.ac.uk - repository manager
• Holly M Rowland¹ - hmrowland1@sheffield.ac.uk
• Claudia Mazzà^2,3 - c.mazza@sheffield.ac.uk
• Hannes P Saal^1,3 - h.saal@sheffield.ac.uk

¹ Department of Psychology, The University of Sheffield, UK
² Department of Mechanical Engineering, The University of Sheffield, UK
³ Insigneo institute for in silico medicine, The University of Sheffield, UK
^* Corresponding author

Repository author

All code within this repository is authored by Luke Cleland unless otherwise specified. Within insole.py, import_data(), cut_frame(), map2footsim() are all adapted from FootSim. code/project_insole.m is adapted from code used in other studies conducted by colleagues within the Department of Mechanical Engineering, University of Sheffield

Contents of the repository

• /administration contains the project checklist with task descriptions, consent form and information sheet
• /code contains all files of code required to collate, process and analyse the data
• /preprocessed_data contains preprocessed data that is used for data analysis
• /individual_figures contains the individual figures created from figures.py
• /paper_figures contains the panels found within the manuscript
• /scaled_data folder to store participant insole data scaled to a common foot size
• /processed_data is the location that files with pre-processed data in will be saved following the processing pipeline. These files are used for later analysis and figure generations

Data on the Open Science Framework (https://osf.io/n9f8w/)

• /raw_data contains all raw data files relating to IMU recordings and insole recordings. Should be saved in a folder named raw_data within this repository
  • /participant id
    • /trial id
      • /.csv raw data files
      • /.fsx TekScan insole recordings
      • /.h5 IMU sensor recordings
• /processed_data contains files with pre-processed data in will be saved following the processing pipeline.

Versions:

• Python 3.8.2
• Numpy 1.19.1
• Pandas 1.1.3
• Matplotlib 3.3.1
• Seaborn 0.11.1
• Scipy 1.5.0
• Scikit-learn - 1.1.1
• Scikit-image - 0.16.2
• FootSim - date 20/10/2022

Additional files required

FootSim is required to process the raw data. Public FootSim repository can be found at https://github.com/ActiveTouchLab/footsim-python. Code for "Complexity of spatiotemporal plantar pressure patterns during everyday behaviours" is built upon that in the FootSim repository

Acknowledgements

LC is supported by a studentship from the MRC Discovery Medicine North (DiMeN) Doctoral Training Partnership (MR/N013840/1).