Simultaneous Gait Data from Marker-based Stereophotogrammetry and 3D Temporal Scanner

This repository contains the data used for the analysis reported in "Accuracy of a 3D Temporal Scanning System for Gait Analysis: Comparative With a Marker-based Photogrammetry System" (Gait & Posture 97, https://doi.org/10.1016/j.gaitpost.2022.07.001).The trc folder contains one subfolder for each subject (12 in total), with the following files: * TRC files with marker positions recorded with both systems (Kinemov for MBSP, Move4D for 3DTS) in the calibration posture, and in the two gait trials. The particular measurment of each file is described in the file name: [subject_code]_[calibration/measurement_1/measurement_2/]_[kinemov/move4d].trc. * TXT file with the characteristics of the subject: sex, height, knee and ankle widths, and start/end frames for the gait cycles in the time series recorded in the TRC files.The jointangles folder contains 24 CSV files with the joint angles (hip, knee, and pelvis) of the two gait cycles measured for each subject (one file per subject and trial). Each file has 18 columns (3 joints x 3 angles x 2 systems [kin for MBSP, mov for 3DTS]).The stats foder contains three CSV files: * rangesofmotion.csv, with the ranges (max - min) of the joint angles time series (one row for each file in the jointangles folder). * jointangle_errors.csv, with the RMS of the "errors" resulting from the comparison of MBSP and 3DTS joint angles (one row for each file in the jointangles folder). * markererror_stats.csv with pooled means and standard deviations of the position "errors" of the anatomical landmarks, resulting from the comparison of MBSP and 3DTS measurements.The scripts folder contains the code in Julia (https://julialang.org/) used to calculate the marker position errors reported in markererror_stats.csv, and to perform the statistical analysis of those errors that is reported in the paper. (See "Steps to reproduce" below.)The joint angles time series contained in the jointangles folder and the resultings summaries contained in the other files of stats, can be calculated from the data contained in the trc folder, following the instructions given in the paper. (The code for that analysis is not included.)

THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Identifier
DOI https://doi.org/10.17632/ttjw7w2xfn.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-rn-5knz
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:256226
Provenance
Creator De Rosario Martínez, H
Publisher Data Archiving and Networked Services (DANS)
Contributor Helios De Rosario Martínez
Publication Year 2022
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other