Whole body gait kinematics in patients with bilateral and chronic unilateral vestibulopathy
Creators
- 1. Division of Otorhinolaryngology Head and Neck Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland, Kinesiology Laboratory, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
- 2. Division of Otorhinolaryngology Head and Neck Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
- 3. Kinesiology Laboratory, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
- 4. Clinical neurosciences department, Neurorehabilitation department, Geneva University Hospitals, Geneva, Switzerland
- 5. Division of Balance Disorders, Department of Otorhinolaryngology and Head and Neck Surgery, Maastricht University Medical Center, Maastricht, the Netherlands
Description
This dataset contains whole body kinematics and 3D ground reaction forces and moments from 30 subjects (10 with bilateral vestibulopathy, 10 with unilateral vestibulopathy, and 10 healthy subjects) during gait at three different walking speed: slow, comfortable, and fast. Three repetitions of these gait were performed by each subject. They were instrumented with 35 reflective placed on the whole body according to the Convention Gait Model 1.0. A 12-camera motion capture system (Oqus 7+, Qualisys, Göteborg, Sweden), set at a 100 Hz sampling frequency, was used to track cutaneous reflective markers. The marker trajectories were labeled using Qualisys Tracking Manager software (QTM 2019.3, Qualisys, Göteborg, Sweden) and exported in the C3D file format. Three force plates sampled at 1000 Hz (AMTI Accugait, Watertown, MA, USA) were used to record 3D ground reaction forces and moments. Results of gait standard deviation (GaitSD) and anchoring index (AI), as well as the kinematics data, are included in this dataset in csv file format.
Files
c3d.zip
Files
(191.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:4013e920b46b63dd95fd790da68cdabe
|
190.6 MB | Preview Download |
|
md5:201bf38e264f7f288ab9c3e0d56bd39d
|
1.2 MB | Preview Download |