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GaitaBase: Web-based repository system for gait analysis.

Oren Tirosh1, Richard Baker, Jenny McGinley

  • 1Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia. oren.tirosh@mcri.edu.au

Computers in Biology and Medicine
|January 1, 2010
PubMed
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GaitaBase facilitates sharing gait analysis data for improved clinical decision support. This web-accessible repository enhances collaborative research and data quality for clinicians worldwide.

Area of Science:

  • Biomedical Engineering
  • Clinical Biomechanics
  • Health Informatics

Background:

  • The need for sharing gait analysis data to enhance clinical decision support has been recognized since the early 1990s.
  • Existing data sharing practices often lack standardization and accessibility, hindering collaborative research and clinical advancements.

Purpose of the Study:

  • To establish GaitaBase, a web-accessible repository for gait analysis data.
  • To improve data sharing among local and international clinical and research communities.
  • To support benchmarking, quality assurance, clinical consultation, and collaborative research.

Main Methods:

  • Development of a web-accessible repository system (GaitaBase).
  • Implementation of cross-group access permissions for data retrieval and analysis.

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  • Facilitation of data sharing across diverse clinical and research groups globally.

    • Main Results:

    • GaitaBase is utilized by multiple clinical and research groups worldwide.
    • The system enables secure data sharing, retrieval, and analysis.
    • It supports benchmarking, quality assurance, and collaborative research initiatives.

    Conclusions:

    • GaitaBase enhances the sharing of gait analysis data, fostering collaboration and improving data quality.
    • The repository increases population sample sizes for gait data, leading to better 'normative' data.
    • Clinicians can compare their data with others, gaining insights into intervention effectiveness.