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Comparison of accelerometry stride time calculation methods.

Michelle Norris1, Ian C Kenny1, Ross Anderson1

  • 1Biomechanics Research Unit, University of Limerick, Ireland.

Journal of Biomechanics
|June 13, 2016
PubMed
Summary
This summary is machine-generated.

A new method for calculating stride time from tibial accelerometry (running sensor data) is efficient and reliable. This simplified technique aids in accurate running gait analysis, reducing errors from data fluctuations.

Keywords:
AccelerometryAnalysisGaitInertial sensorPerformance

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Area of Science:

  • Biomechanics
  • Sports Science
  • Wearable Technology

Background:

  • Inertial sensors like accelerometers and gyroscopes offer rich running gait data.
  • Stride time is a key running parameter linked to running economy.
  • Existing stride time calculation methods can be complex for large datasets.

Purpose of the Study:

  • To compare existing stride time calculation methods with a novel proposed method.
  • To evaluate the efficiency and accuracy of a new stride time derivation technique.
  • To utilize medio-lateral tibial acceleration data filtered at 2Hz for improved stride time output.

Main Methods:

  • Tibial accelerometry data from six half-marathon trainees were analyzed.
  • Four distinct methods were used to calculate stride time from the collected data.
  • A repeated measures analysis of variance (ANOVA) was employed for statistical comparison.

Main Results:

  • No significant difference in stride time was found between the calculation methods (p=1.00).
  • High reliability was demonstrated, with intra-class coefficients >0.95 and coefficient of variance <1.5%.
  • The proposed method showed potential for simplified and efficient stride time output.

Conclusions:

  • The proposed stride time calculation method offers a simplified approach for running gait analysis.
  • This technique may be less susceptible to 'double peak' errors and data fluctuations.
  • The method allows for accurate and efficient automated stride time data output in real-time and post-processing.