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The effect of acceleration signal processing for head impact numeric simulations

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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 modeling 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.

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Authors and Affiliations

  1. Human Kinetics, University of Ottawa, 200 Lees Ave., Room A106, Ottawa, ON, K1N 6N5, Canada

    Andrew Post, J. Michio Clark, D. G. E. Robertson, T. Blaine Hoshizaki & Michael D. Gilchrist

  2. School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland

    Michael D. Gilchrist

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  1. Andrew Post
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  2. J. Michio Clark
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  3. D. G. E. Robertson
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  4. T. Blaine Hoshizaki
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  5. Michael D. Gilchrist
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Correspondence to Andrew Post.

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This research was not supported by any research grant.

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The authors do not have any conflict of interests involved with this research.

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Post, A., Clark, J.M., Robertson, D.G.E. et al. The effect of acceleration signal processing for head impact numeric simulations. Sports Eng 20, 111–119 (2017). https://doi.org/10.1007/s12283-016-0219-5

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  • DOI: https://doi.org/10.1007/s12283-016-0219-5

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