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Human Balance Evaluation Database

Published: May 19, 2016. Version: 1.0.0

New Database Added: HBEDB (May 19, 2016, midnight)

The Human Balance Evaluation database contains force platform recordings from 193 subjects undergoing stabilography tests.

Citation

When using this resource, please cite the original publication:
Santos DA, Duarte M. A Public Database of Human Balance Evaluations. PeerJ Preprints 4:e2162v1, 2016.

Please include the standard citation for PhysioNet:
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

Abstract

The HBEDB contains force platform recordings from subjects undergoing stabilography tests. The subjects performed standing tasks under four different conditions:

  • Eyes opened on a rigid surface
  • Eyes closed on a rigid surface
  • Eyes opened on an unstable surface
  • Eyes closed on an unstable surface
Each condition was tested three times, with the order randomized per subject. A total of 1930 trials were performed by 163 different subjects.

Data Description

Each 1-minute recording was sampled at 100 Hz and low-pass filtered at 10 Hz. The signal files contain 8 channels grouped by 3 measurement types:

  • Force/N – x, y, z
  • Moment/Nm – x, y, z
  • Center-of-Pressure/cm – x, y

File naming convention: BDS0XXXX where XXXX is the trial number.

Qualitative Tests

Each subject completed the following assessments:

  • Short Falls Efficacy Scale International
  • International Physical Activity Questionnaire – Short Version
  • Trail Making Test
  • Mini Balance Evaluation Systems Test

Subjects were also interviewed for socio-cultural, demographic, and health information, including age, medications, and illnesses. This metadata is available in BDSinfo.txt and BDSinfo.xlsx. Some fields are also found in each record's header file.

More Information

For more about this project and metadata, visit the website of the BMC-Lab at the Federal University of ABC.