
Annals of Biomedical Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 5, 2024
Abstract Traumatic brain injury (TBI) in cyclists is a growing public health problem, with helmets being the major protection gear. Finite element head models have been increasingly used to engineer safer often by mitigating strain peaks. However, how different alter spatial distribution of remains largely unknown. Besides, existing research primarily maximum principal (MPS) as parameter, while white matter fiber tract-related strains, recognized effective predictors for TBI, rarely helmet evaluation. To address these gaps, we an anatomically detailed model embedded tracts simulate fifty-one helmeted impacts, encompassing seventeen bicycle under three impact locations. We assessed performance based on four strains characterizing normal and shear oriented along perpendicular tract, well prevalently MPS. Our results showed that both location affected Interestingly, noted did not distribution, except one specific location. Moreover, our analyses revealed ranking outcome peaks was choice metrics (Kendall’s Tau coefficient: 0.58–0.93). Significant correlations were between angular motion-based metrics. This study provided new insights into computational biomechanics highlighted dependent also hinted could be augmented peak optimizing accounting selective vulnerability subregions more needed develop region-specific criteria.
Language: Английский