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A public data set of human balance evaluations
Damiana A Santos1, Marcos Duarte1
1Biomedical Engineering, Federal University of ABC, São Bernardo do Campo, SP, Brazil.
Peerj
|November 12, 2016
Summary
This study created a public dataset for human balance research, evaluating 163 subjects using force platforms and balance tests under various sensory and surface conditions.
Area of Science:
- Biomechanics
- Human Physiology
- Data Science
Background:
- Accurate human balance assessment is crucial for understanding mobility and fall risk.
- Publicly available, comprehensive datasets are needed to advance balance research.
Purpose of the Study:
- To establish a public dataset of human balance evaluations.
- To collect quantitative and qualitative data on balance performance.
- To facilitate further research in human biomechanics and motor control.
Main Methods:
- Posturography using a force platform with eyes open/closed on rigid/unstable surfaces.
- Mini Balance Evaluation Systems Tests.
- Subject characterization via questionnaires (Falls Efficacy, Physical Activity, Trail Making) and interviews.
Main Results:
- A dataset of force platform signals (center of pressure, forces, moments) from 163 subjects was compiled.
- Data includes balance test results and subject demographics/health information.
- All data is publicly accessible via PhysioNet and Figshare.
Conclusions:
- The created dataset provides a valuable resource for studying human balance.
- This data can support research on factors influencing balance and fall prevention.
- The comprehensive nature of the dataset enables diverse analytical approaches.
