Data belonging to the paper: Sagittal-plane balance perturbations during very slow walking: Strategies for recovering linear and angular momentum

doi:10.4121/21370095.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21370095
Datacite citation style:
van Mierlo, Michelle; Vlutters, Mark; H. F. van Asseldonk, Edwin; van der Kooij, Herman (2023): Data belonging to the paper: Sagittal-plane balance perturbations during very slow walking: Strategies for recovering linear and angular momentum. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/21370095.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2023-06-22 (latest)
version 1 - 2022-10-24

This dataset contains the data used to produce the results of the paper: 'Sagittal-plane balance perturbations during very slow walking: Strategies for recovering linear and angular momentum'. An extensive description of the methods can be found in the paper. 10 healthy participants walked on a treadmill while receiving perturbations of the whole body linear or angular momentum at the moment of toe off right. Meanwhile ground reaction forces and optical motion capture was recorded. The dataset contains the following measures: whole body angular momentum, whole body centre of mass velocity, centre of pressure position, horizontal ground reaction force, moment arm of the ground reaction force with respect to centre of mass, the interaction forces between the motors applying the perturbations and the participants, and the joint moments of the hip and ankle. 

history
  • 2022-10-24 first online
  • 2023-06-22 published, posted
publisher
4TU.ResearchData
format
.csv
funding
  • This work is part of the research program Wearable Robotics with project number P16-05, which is (partly) funded by the Dutch Research Council (NWO).
organizations
University of Twente, Department of Biomechanical Engineering

DATA

files (1)