The influence of inertial sensor sampling frequency on the accuracy of measurement parameters in rearfoot running. Issue 14 (26th October 2017)

• Record Type: Journal Article
• Authors: Mitschke, Christian; Zaumseil, Falk; Milani, Thomas L.
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 20:Issue 14(2017)
• Page Start: 1502
• Page End: 1511
• Publication Date: 2017-10-26
• Subjects: Inertial measurement units -- inertial sensor -- sampling frequency -- rearfoot running -- acceleration -- angular velocity; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2017.1382482
• Languages: English
• ISSNs: 1025-5842

Abstract

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.