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Quality framework for force plate testing

H E Fleming1, M G Hall, M J Dolan

  • 1University College Dublin, Eire.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|January 1, 1997
PubMed
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Ensuring quality in human movement analysis is crucial for accurate clinical interpretations. This study presents a framework for testing laboratory equipment, focusing on periodic confirmation and regular checks for reliable results.

Area of Science:

  • Biomedical Engineering
  • Human Movement Science
  • Quality Assurance

Background:

  • Gait analysis laboratories provide critical data for clinical decisions like surgical interventions or orthotic prescriptions.
  • The quality of analysis and equipment is paramount for accurate clinical interpretation of human movement data.
  • Laboratory operations, particularly in gait analysis, are classified as 'special processes' requiring stringent quality control.

Purpose of the Study:

  • To present a framework for testing equipment used in human movement analysis laboratories.
  • To ensure the quality and reliability of data generated by gait analysis equipment.
  • To provide guidance on quality standards for equipment used in clinical decision-making.

Main Methods:

  • Review and application of relevant quality standards for laboratory equipment testing.

Related Experiment Videos

  • Description of a 'special process' operational model for gait analysis laboratories.
  • Methodology for periodic confirmation and regular spot checking of equipment.

    • Main Results:

    • A framework for quality assurance in human movement analysis equipment testing is proposed.
    • Specific attention is given to the challenges in meeting technical requirements for equipment validation.
    • The framework is applicable to force plates and other dynamometers and measurement equipment.

    Conclusions:

    • Implementing a quality framework is essential for the reliable operation of gait analysis laboratories.
    • Periodic confirmation and regular equipment checks are vital for maintaining analytical accuracy.
    • The proposed framework supports the clinical interpretation of human movement data by assuring equipment quality.