Minimum Sampling Frequency for Accurate and Reliable Tibial Acceleration Measurements During Rearfoot Strike Running in the Field

Author:

Aubol Kevin G.1ORCID,Milner Clare E.1ORCID

Affiliation:

1. Department of Physical Therapy & Rehabilitation Sciences, Drexel University, Philadelphia, PA, USA

Abstract

Field-based tibial acceleration measurements are increasingly common but sampling frequencies vary between accelerometers. The purpose of this study was to determine the minimum sampling frequency needed for reliable and accurate measurement of peak axial and resultant tibial acceleration during running in the field. Tibial acceleration was measured at 7161 Hz in 19 healthy runners on concrete and grass. Acceleration data were down sampled to approximate previously used sampling frequencies. Peak axial and resultant tibial acceleration were calculated for each sampling frequency. The within-session reliability and accuracy of peak axial and resultant tibial accelerations were evaluated using intraclass correlation coefficients, mean differences, and 95% limits of agreements. Intraclass correlation coefficients greater than .9 indicated excellent within-session reliability for both peak axial and resultant tibial acceleration measured while running on concrete and grass. Peak axial and resultant tibial accelerations were 0.5 to 1.4 g lower and minimal detectable differences were up to 0.6 g higher at 102 Hz compared with higher sampling frequencies. We recommend a minimum sampling frequency of 199 Hz for accurate and reliable measurements of peak axial and resultant tibial acceleration in the field.

Publisher

Human Kinetics

Subject

Rehabilitation,Orthopedics and Sports Medicine,Biophysics

Reference20 articles.

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3. Running-related muscle activation patterns and tibial acceleration across puberty;Sayer TA,2020

4. The measurement of tibial acceleration in runners—a review of the factors that can affect tibial acceleration during running and evidence-based guidelines for its use;Sheerin KR,2019

5. Optimising sampling rates for accelerometer-based human activity recognition;Khan A,2016

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