Literature DB >> 28948846

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

Christian Mitschke1, Falk Zaumseil1, Thomas L Milani1.   

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.

Keywords:  Inertial measurement units; acceleration; angular velocity; inertial sensor; rearfoot running; sampling frequency

Mesh:

Year:  2017        PMID: 28948846     DOI: 10.1080/10255842.2017.1382482

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  6 in total

1.  Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During Running: A Systematic Review and Meta-analysis.

Authors:  Benjamin J Horsley; Paul J Tofari; Shona L Halson; Justin G Kemp; Jessica Dickson; Nirav Maniar; Stuart J Cormack
Journal:  Sports Med       Date:  2021-03-24       Impact factor: 11.136

2.  The Effect of the Accelerometer Operating Range on Biomechanical Parameters: Stride Length, Velocity, and Peak Tibial Acceleration during Running.

Authors:  Christian Mitschke; Pierre Kiesewetter; Thomas L Milani
Journal:  Sensors (Basel)       Date:  2018-01-05       Impact factor: 3.576

3.  Differences in Peak Impact Accelerations Among Foot Strike Patterns in Recreational Runners.

Authors:  Christopher Napier; Lauren Fridman; Paul Blazey; Nicholas Tran; Tom V Michie; Amy Schneeberg
Journal:  Front Sports Act Living       Date:  2022-03-04

4.  Validation of the RunScribe inertial measurement unit for walking gait measurement.

Authors:  Max Lewin; Carina Price; Christopher Nester
Journal:  PLoS One       Date:  2022-08-22       Impact factor: 3.752

5.  Lossless Compression of Human Movement IMU Signals.

Authors:  David Chiasson; Junkai Xu; Peter Shull
Journal:  Sensors (Basel)       Date:  2020-10-20       Impact factor: 3.576

Review 6.  Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.

Authors:  Lauren C Benson; Anu M Räisänen; Christian A Clermont; Reed Ferber
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

  6 in total

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