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Analyzing head-neck tissue strains during football-related impacts

2017· other· en· W6964535899 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsFacet (psychology)Strain (injury)ConcussionCervical vertebraeHead (geology)BiomechanicsCervical spine

Abstract

fetched live from OpenAlex

Introduction: Concussion due to sports-related collisions is a severe health challenge. Moreover, damage to the head and to the neck can sometimes lead to similar symptoms such as headache. Hence, to better prevent and diagnose concussion, we need to understand how helmeted impacts affect head and neck tissues. Methods: We simulated six impact conditions mimicking real-world relevant football collisions, with an impactor hitting a helmeted player to the frontal, lateral, rear, and vertical sites of the helmet and frontal and lateral sites of the facemask. The impact velocity was 6 m/s. Based on the simulations, we examined cumulative strain damage measure (CSDM) with the strain level of 20% in the whole brain and peak maximum principal strain (MPS) in the neck.Results: For loads to the helmet, frontal impact induced CSDM20 of 0.08 to the brain, 0.45 to the upper cervical spinal cord, 0.59 to the disc and 0.11 to the facet joint. Lateral impact produced peak CSDM20 of 0.12 to the brain, 0.58 to the upper cervical spinal cord, 0.81 to the disc, and 0.25 to the facet joint. Rear impact caused CSDM20 of 0.15 to the brain, 0.49 to the upper cervical spinal cord, 0.50 to the disc, but very low 0.01 to the facet joint. Vertical impact induced low CSDM20 to the brain (0), but it induced high strain of 0.7 to the upper spinal cord, 0.50 to the disc, and 0.39 to the facet joint. For loads to the facemask, frontal impact caused CSDM20 of 0.01 to the brain, 0.48 to the upper cervical spinal cord, 0.66 to the disc, and 0.11 to the facet joint. Lateral impact to the facemask produced CSDM20 of 0.10 to the brain, and it caused MPS of 0.54 to the upper cervical spinal cord, 0.79 to the disc, and 0.10 to the facet joint.Discussion/Conclusions: Brain strain distribution was highest during the rear impact to helmet, followed by the lateral impact to helmet, lateral impact to facemask, frontal impact to helmet, frontal impact to facemask and vertical impact to helmet. The strain of the disc was high among all impacts, and both the upper cervical spinal cord and facet joint experienced the high strain during lateral and vertical impacts. These heterogeneous head-neck responses can help guide future protective gear development to reduce tissue strains, as well as assist in diagnosis for identifying regions of vulnerability during various impacts.Acknowledgements: We acknowledge Western Engineering, Canada Research Chairs program and NSERC for support.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0120.011
Science and technology studies0.0010.001
Scholarly communication0.0160.033
Open science0.0080.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0340.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.327
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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