The effect of acceleration signal processing for head impact numeric simulations

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Title: The effect of acceleration signal processing for head impact numeric simulations
Authors: Post, Andrew
Clark, J. Michio
Robertson, D.G.E.
Hoshizaki, Thomas Blaine
Gilchrist, M. D.
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Date: Jun-2016
Abstract: Brain injury research in sport employs a variety of physical models equipped with accelerometers. These acceleration signals are commonly processed using filters. The purpose of this research was to determine the effect of applying filters with different cutoff frequencies to the acceleration signals used as input for finite element modelling of the brain. Signals were generated from reconstructions of concussion events from American football and ice hockey in the laboratory using a Hybrid III headform. The resulting acceleration signals were used as input for the University College Dublin Brain Trauma Model after being processed with filters. The results indicated that using a filter with a cutoff of 300 Hz or higher had little effect on the resulting strain measures. In some cases there was some effect of the filters on the peak linear (8¿30g) and rotational measures (1000¿4000 rad/s2), but little effect on the finite element strain result (approximately 2¿6 %). The short duration and high magnitude accelerations, such as the puck impact, were most affected by the cutoff frequency of different filters.
Type of material: Journal Article
Publisher: Springer
Copyright (published version): 2016 International Sports Engineering Association
Keywords: Signal processing;Filtering;Concussion;mTBI;Biomechanics;Ice hockey;American football
DOI: 10.1007/s12283-016-0219-5
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

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