Title
GaiTRec, a large-scale ground reaction force dataset of healthy and impaired gait
Language
English
Description (en)
Sci Data 7, 143 (2020). https://doi.org/10.1038/s41597-020-0481-z
Description (en)
The quantifcation of ground reaction forces (GRF) is a standard tool for clinicians to quantify and analyze human locomotion. Such recordings produce a vast amount of complex data and variables which are difcult to comprehend. This makes data interpretation challenging. Machine learning approaches seem to be promising tools to support clinicians in identifying and categorizing specifc gait patterns. However, the quality of such approaches strongly depends on the amount of available annotated data to train the underlying models. Therefore, we present GaitRec, a comprehensive and completely annotated large-scale dataset containing bi-lateral GRF walking trials of 2,084 patients with various musculoskeletal impairments and data from 211 healthy controls. The dataset comprises data of patients after joint replacement, fractures, ligament ruptures, and related disorders at the hip, knee, ankle or calcaneus during their entire stay(s) at a rehabilitation center. The data sum up to a total of 75,732 bi-lateral walking trials and enable researchers to classify gait patterns at a large-scale as well as to analyze the entire recovery process of patients.
Description (de)
Link zum Datensatz {link}https://doi.org/10.6084/m9.figshare.c.4788012.v1{/link}
Keywords (de)
Forschungsdaten
DOI
10.1038/s41597-020-0481-z
DOI
10.6084/m9.figshare.c.4788012.v1
Author of the digital object
Brian  Horsak
01.01.2020
Author of the digital object
Djordje  Slijepcevic
01.01.2020
Author of the digital object
Anna-Maria  Raberger
01.01.2020
Author of the digital object
Caterine  Schwab
01.01.2020
Author of the digital object
Marianne  Worisch
01.01.2020
Author of the digital object
Matthias  Zeppelzauer
01.01.2020
Format
application/pdf
Size
2.4 MB
Licence Selected
CC BY 4.0 International
Type of publication
Article
Date of approbation period
2020
Content
Details
Uploader
Object type
PDFDocument
Format
application/pdf
Created
26.06.2020 10:05:57
This object is in collection
Metadata
St. Pölten University of Applied Sciences | Campus-Platz 1 | A-3100 St. Pölten | T +43/2742/313 228-234