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Laboratory Assessment of a Headband-Mounted Sensor for Measurement of Head Impact Rotational Kinematics
Journal article   Open access   Peer reviewed

Laboratory Assessment of a Headband-Mounted Sensor for Measurement of Head Impact Rotational Kinematics

Colin M. Huber, Declan A. Patton, Kathryn L. Wofford, Susan S. Margulies, D. Kacy Cullen and Kristy B. Arbogast
Journal of biomechanical engineering, v 143(2)
01 Feb 2021
PMID: 32975553
url
https://doi.org/10.1115/1.4048574View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Biophysics Engineering Engineering, Biomedical Life Sciences & Biomedicine Science & Technology Technology
Head impact sensors measure head kinematics in sports, and sensor accuracy is crucial for investigating the potential link between repetitive head loading and clinical outcomes. Many validation studies mount sensors to human head surrogates and compare kinematic measures during loading from a linear impactor. These studies are often unable to distinguish intrinsic instrumentation limitations from variability caused by sensor coupling. The aim of the current study was to evaluate intrinsic sensor error in angular velocity in the absence of coupling error for a common head impact sensor. Two Triax SIM-G sensors were rigidly attached to a preclinical rotational injury device and subjected to rotational events to assess sensor reproducibility and accuracy. Peak angular velocities between the SIM-G sensors paired for each test were correlated (R-2 > 0.99, y=1.00x, p<0.001). SIM-G peak angular velocity correlated with the reference (R-2 = 0.96, y=0.82x, p<0.001); however, SIM-G underestimated the magnitude by 15.0% +/- 1.7% (p<0.001). SIM-G angular velocity rise time (5% to 100% of peak) correlated with the reference (R-2 = 0.97, y=1.06x, p<0.001) but exhibited a slower fall time (100% to 5% of peak) by 9.0 +/- 3.7ms (p<0.001). Assessing sensor performance when rigidly coupled is a crucial first step to interpret on-field SIM-G rotational kinematic data. Further testing in increasing biofidelic conditions is needed to fully characterize error from other sources, such as coupling.

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12 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Biophysics
Engineering, Biomedical
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