A public dataset of overground walking kinetics in healthy adult individuals on different sessions within one day

Published: 15 April 2020| Version 2 | DOI: 10.17632/y55wfcsrhz.2
Johannes Burdack, Fabian Horst, Sven Giesselbach, Ibrahim Hassan, Sabrina Daffner, Wolfgang I. Schöllhorn


The dataset comprises raw kinetic data of 42 healthy subjects (22 female, 20 male; M age: 25.6 years, SD 6.1; M body height: 1.72 m, SD 0.09; M body mass: 66.9 kg, SD 10.7) during overground walking. All subjects were without gait pathology and free of lower extremity pain or injuries. The file 'GRF_META_DATA.csv' contains additional meta information for each subject and session, including: "SUBJECT_ID" [number] "SESSION_ID" [number] "GENDER" [female ; male] "AGE" [years] "BODY_SIZE" [m] "BODY_MASS" [kg] The six ground reaction force data files are organized according to the following naming convention: “GRF-type-processing-side.csv”. The type denotes, whether the file holds the data of the vertical (“F_V"), anterior-posterior (“F_AP"), medio-lateral (“F_ML") ground reaction force time-series. Each of the “GRF-type-processing-side.csv” files is structured as a matrix with N rows and M columns. Each row holds the data of one trial. The first column identifies the subject (“SUBJECT_ID”), the second column the number of the recording session (“SESSION_ID”), and the third column the gait velocity of the trial (“VELOCITY”). Note that due to the non-time-normalized nature of the data and the resulting different vector lengths in the “RAW” files, non-available numbers have been replaced by “NaN” to maintain a constant matrix dimension. When using (any part) of this dataset, please cite this dataset and the original article: Burdack, J., Horst, F., Giesselbach, S., Hassan, I., Daffner, S., & Schöllhorn, W. I. (2020). A public dataset of overground walking kinetics in healthy adult individuals on different sessions within one day. Mendeley Data, v2. http://dx.doi.org/10.17632/y55wfcsrhz.1 Burdack, J., Horst, F., Giesselbach, S., Hassan, I., Daffner, S., & Schöllhorn, W. I. (2020). Systematic comparison of the influence of different data preprocessing methods on the performance of gait classifications using machine learning. Frontiers in Bioengineering and Biotechnology, 8, 260. https://doi.org/10.3389/fbioe.2020.00260 Please feel free to send us your technical questions, requests and bug reports by email: horst@uni-mainz.de


Steps to reproduce

The subjects performed 15 gait trials on each of six sessions (S1-S6) within one day, while they did not undergo any intervention. The time intervals of rest after the first, third and fifth session to the beginning of the subsequent session were 10 mins. The interval between session 2 and 3 and between session 4 and 5 were 30 and 90 mins, respectively. The subjects were instructed to walk barefoot at a self-selected speed. In each trial the subjects overall walking distance was approximately 10 m. Kinematic data were recorded using a lower-body marker set consisting of 34 retro reflective markers placed on anatomical landmarks. Nine Oqus 310 infrared cameras (Qualisys AB, Sweden) captured the three-dimensional marker trajectories at a sampling frequency of 250 Hz. The three-dimensional ground reaction forces were recorded by two Kistler force plates (90 x 60 cm; Kistler, Type 9287CA, Switzerland) at a frequency of 1000 Hz. For all trials, the subjects stepped with their right foot on the first force plate and their left foot on the second force plate. The recording was managed in time-synchronization by the Qualisys Track Manager 2.7 (Qualisys AB, Sweden). Four experienced assessors attached the markers and conducted the analysis. Every subject was analysed by the same assessor only. The laboratory environment was kept constant during the investigation. Before the first session, each subject performed 20 test trials to get accustomed to the experimental setup and to assign a starting point for a walk over the force plates. Before each of the following sessions 5 test trials were performed to control the starting point of the walk. This procedure is described to minimize the impact of targeting on the force plates on the observed gait variables. Additionally, the participants were instructed to watch a neutral symbol (smiley) on the opposing wall of the laboratory to direct their attention away from targeting on the force plates and ensure a natural walk with an upright body position.


Gait Analysis, Gait, Biomechanics of Gait