DOI: 10.25452/figshare.plus.24255795
title: Running Injury Clinic Kinematic Dataset

description: OverviewBiomechanics dataset of human subjects (N=1798) walking and or running on a treadmill. Data include 3D marker positions over trials ranging from 25-60 seconds. Also included are demographic information and calculated variables of interest (step with, stride rate, peak knee flexion angle, etc...), sample processing code, and data analysis tutorials.<br>This dataset accompanies an article with the following citation:Ferber R, Brett A, Fukuchi RK, Hettinga B, Osis ST. (2024). A Biomechanical Dataset of 1,798 Healthy and Injured Subjects During Treadmill Walking and Running. <i>Scientific Data - Nature</i>. 11:1232 | https://doi.org/10.1038/s41597-024-04011-7Data DescriptionContained within this dataset are 4 categories of files. They consist of datafiles (.JSON format -&gt;2506 files), metadata (.CSV format -&gt;2 files), Matlab processing code (.M, .MAT format -&gt; 8 files) and Matlab tutorial files (.M, .MLX, .MAT format -&gt; 8 files). All code which accompanies this dataset (processing and tutorials) can be found in the "supplementary_materials.zip" file.Data files are contained within the zipped folder "ric_data" which itself a contains series of folders with names representing the subject ID. Each subject ID folder contains timestamped datafile(s) in ".json" format with each containing walking and/or running data from a single collection session.MethodsThree-dimensional (3D) marker trajectory data were captured using either a 3-camera or an 8-camera VICON motion capture system (Bonita or MX3+, Vicon Motion Systems Oxford, UK) while participants walked or ran on a treadmill. Spherical retro-reflective markers were placed on anatomical landmarks and rigid plates with clusters of 3-4 markers were placed on each of seven lower body segments as per Pohl et al. (Gait Posture. 2010;32(4):559-563.). The marker-set consisted of seven rigid segments and followed International Society of Biomechanics standards. To allow for unobstructed movement during running, anatomical markers were removed following a one second static trial where subjects stood upon a template with their feet positioned straight ahead and 0.3m apart with arms crossed over their chest. Following a warmup period of 2-5mins, kinematic data were collected for approximately 60 seconds while participants walked and then ran at a self-selected speed.Data were collected at the University of Calgary Running Injury Clinic as part of research studies or as part of clinical practice between 2009 and 2017. All subjects provided informed consent and all data were collected under approval from the University of Calgary's Conjoint Health Research Ethics Board (CHREB) (Ethics IDs: E–21705, E–22194, E–24339). In total, n=1197 (67%) can be considered unique datasets and have not been published in previous scientific manuscripts. However, 33% of the dataset (n=601) were recruited for specific research studies and as such, have been used in previously published works including comparisons between recreational and competitive runners, healthy and knee osteoarthritis patients , developing novel methods for MoCap marker placement, and determination of subgroups in healthy and injured runners. Please see accompanying paper for references to these studies.More detailsMore details regarding this dataset can be found in the README file. This file contains more detailed descriptions of the contents of the datafiles, processing code, and tutorial code.LicensingThe data is protected under a CC BY 4.0 license. All scripts and functions are protected under a permissive MIT license which can be found in the file LICENSE.txt.