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.
Laboratory Assessment of a Headband-Mounted Sensor for Measurement of Head Impact Rotational Kinematics
Creators
Colin M. Huber - Children's Hospital of Philadelphia
Declan A. Patton - Children's Hospital of Philadelphia
Kathryn L. Wofford - University of Pennsylvania
Susan S. Margulies - The Wallace H. Coulter Department of Biomedical Engineering
D. Kacy Cullen - University of Pennsylvania
Kristy B. Arbogast - Children's Hospital of Philadelphia
Publication Details
Journal of biomechanical engineering, v 143(2)
Publisher
Asme
Number of pages
5
Grant note
Pennsylvania Department of Health (CURE Grant)
R01NS097549 / National Institute of Neurological Disorders and Stroke; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
Resource Type
Journal article
Language
English
Academic Unit
School of Biomedical Engineering, Science, and Health Systems
Web of Science ID
WOS:000603631300016
Scopus ID
2-s2.0-85106198241
Other Identifier
991019176799904721
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