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Susanne W Lipfert1, Michael Günther, Andre Seyfarth

  • 1Lauflabor Locomotion Laboratory, University of Jena, Dornburger Strasse 23, D-07743 Jena, Germany. s.lipf@uni-jena.de

Journal of Biomechanics
|March 10, 2009
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Summary
This summary is machine-generated.

This study presents a simple method to measure time lag and time drift in biomechanical data from multiple systems like cameras and force plates. Accounting for these errors is crucial for accurate movement analysis across all trial durations.

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Area of Science:

  • Biomechanics
  • Movement Analysis
  • Data Acquisition

Background:

  • Multisystem data recording is common in movement analysis.
  • Synchronization via a common trigger is an alternative when direct sampling synchronization is not feasible.
  • Unsynchronized systems can introduce systematic errors like time lag and time drift.

Purpose of the Study:

  • To introduce a straightforward method for quantifying time lag and time drift.
  • To assess these errors in systems commonly used in biomechanics, such as cameras and force plates.
  • To highlight the importance of accounting for these synchronization errors.

Main Methods:

  • A simple method was developed to determine time lag and time drift between two measurement systems.
  • The study focused on systems including cameras and force plates.
  • The influence of different sampling frequencies on these errors was investigated.

Main Results:

  • Time lag and time drift were confirmed to be present in the tested systems.
  • The magnitude of these errors was found to be dependent on the selected sampling frequencies.
  • The extent of errors also varied based on the combination of systems used.

Conclusions:

  • Time lag and time drift are significant systematic errors in unsynchronized biomechanical data acquisition.
  • These synchronization errors are influenced by system-specific properties and sampling frequencies.
  • Accurate interpretation of biomechanical signals requires consideration of identified time lag and time drift for all trial lengths.