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The influence of inertial sensor sampling frequency on the accuracy of measurement parameters in rearfoot running

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  • Christian Mitschke
  • Falk Zaumseil
  • Thomas L. Milani

Abstract

Increasingly, inertial sensors are being used for running analyses. The aim of this study was to systematically investigate the influence of inertial sensor sampling frequencies (SF) on the accuracy of kinematic, spatio-temporal, and kinetic parameters. We hypothesized that running analyses at lower SF result in less signal information and therefore the inability to sufficiently interpret measurement data. Twenty-one subjects participated in this study. Rearfoot strikers ran on an indoor running track at a velocity of 3.5 ± 0.1 ms−1. A uniaxial accelerometer was attached at the tibia and an inertial measurement unit was mounted at the heel of the right shoe. All sensors were synchronized at the start and data was measured with 1000 Hz (reference SF). Datasets were reduced to 500, 333, 250, 200, and 100 Hz in post-processing. The results of this study showed that a minimum SF of 500 Hz should be used to accurately measure kinetic parameters (e.g. peak heel acceleration). In contrast, stride length showed accurate results even at 333 Hz. 200 Hz were required to calculate parameters accurately for peak tibial acceleration, stride duration, and all kinematic measurements. The information from this study is necessary to correctly interpret measurement data of existing investigations and to plan future studies.

Suggested Citation

  • Christian Mitschke & Falk Zaumseil & Thomas L. Milani, 2017. "The influence of inertial sensor sampling frequency on the accuracy of measurement parameters in rearfoot running," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 20(14), pages 1502-1511, October.
    • Handle: RePEc:taf:gcmbxx:v:20:y:2017:i:14:p:1502-1511
    DOI: 10.1080/10255842.2017.1382482
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    1. Daniel E. Lieberman & Madhusudhan Venkadesan & William A. Werbel & Adam I. Daoud & Susan D’Andrea & Irene S. Davis & Robert Ojiambo Mang’Eni & Yannis Pitsiladis, 2010. "Foot strike patterns and collision forces in habitually barefoot versus shod runners," Nature, Nature, vol. 463(7280), pages 531-535, January.
    2. U. Rajendra Acharya & S. Vinitha Sree & Choo Min Lim & Peng Chuan Alvin Ang & Masaki Sekine & Toshiyo Tamura, 2013. "Comparison of walking parameters obtained from the young, elderly and adults with support," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 16(11), pages 1202-1212, November.
    3. C. Scheffer & T. Cloete, 2012. "Inertial motion capture in conjunction with an artificial neural network can differentiate the gait patterns of hemiparetic stroke patients compared with able-bodied counterparts," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(3), pages 285-294.
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