A public dataset of overground walking kinetics and lower-body kinematics in healthy adult individuals on different sessions within one day
| Main Author: | Horst, Fabian |
|---|---|
| Other Authors: | Eekhoff, Alexander, Newell, Karl, Schöllhorn, Wolfgang I. |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/b48n46bfry |
Daftar Isi:
- The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of nine healthy subjects (3 female, 6 male; M age: 27.4 years, SD 3.0; M body height: 1.74 m, SD 0.11; M body mass: 73.2 kg, SD 13.3) during overground walking. All subjects were without gait pathology and free of lower extremity pain or injuries. The .c3d files are named in the following format: S{subject_id}_S{session_id}_{trial number}_{static/gait}.c3d. Separate text files were generated for the kinematic marker trajetories {.tsv} and kinetic force signals of the first {_f_1.tsv} and second {_f_2.tsv} force plate. When using (any part) of this dataset, please cite this dataset and the original article: Horst, F., Eekhoff, A., Newell, K. M., & Schöllhorn, W. I. (2019). A public dataset of overground walking kinetics and lower-body kinematics in healthy adult individuals on different sessions within one day. Mendeley Data, v1. http://dx.doi.org/10.17632/b48n46bfry.1 Horst, F., Eekhoff, A., Newell, K. M., & Schöllhorn, W. I. (2017). Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regression. PloS one, 12(6), e0179738. https://doi.org/10.1371/journal.pone.0179738 Please feel free to send us your technical questions, requests and bug reports by email: horst@uni-mainz.de