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SeeSway - A free web-based system for analysing and exploring standing balance data
1School of Health and Sports Science, University of the Sunshine Coast, Australia.
Computer Methods and Programs in Biomedicine
|April 14, 2018
Summary
SeeSway is a free web tool that simplifies the analysis of standing balance data. It offers advanced filtering and analysis methods to better understand balance in aging and clinical populations.
Area of Science:
- Biomechanics
- Rehabilitation Engineering
- Data Science
Background:
- Computerized posturography assesses standing balance and predicts functional outcomes.
- Current methods often require custom programs and lack standardized filtering/analysis.
- A need exists for accessible, platform-independent tools for balance data analysis.
Purpose of the Study:
- To introduce SeeSway, a freely available web-based software for analyzing standing balance data.
- To provide powerful, user-friendly tools for pre-processing, analysis, and visualization.
- To facilitate research and education on balance in aging and clinical populations.
Main Methods:
- SeeSway integrates an interactive web platform with backend analysis software (LabVIEW, Python, R).
- It accepts diverse input data (force platforms, motion capture, smartphones, low-cost sensors).
- Offers multiple filtering (Butterworth, wavelet) and analysis techniques (entropy, DFA, multiresolution wavelet).
Main Results:
- Demonstrates advanced analysis methods can effectively differentiate between individuals with neurological impairment and healthy controls.
- Provides graphical representations of data analysis outcomes.
- Highlights how pre-processing and analysis choices impact findings.
Conclusions:
- SeeSway serves as an educational and research tool for exploring standing balance.
- It aims to simplify complex balance data analysis for various populations.
- The tool supports understanding balance impairments in aging and clinical contexts.
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