ArticleAnnals of biomedical engineering2021
Ranking and Rating Bicycle Helmet Safety Performance in Oblique Impacts Using Eight Different Brain Injury Models.
Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.
- A Review of Cyclist Head Injury, Impact Characteristics and the Implications for Helmet Assessment Methods.Annals of biomedical engineering · 2023Pooled it
- Quantifying Morphology-Related Deviations in Brain Strain Using an Automated Mesh Morphing Method.Annals of biomedical engineering · 2026Article
- An MRI-derived head-neck finite element model.Biomechanics and modeling in mechanobiology · 2025Article
- Equestrian STAR: Development of an Experimental Methodology for Assessing the Biomechanical Performance of Equestrian Helmets.Annals of biomedical engineering · 2025Article
- Superior linear and comparable rotational protection of an air-filled helmet versus foam helmets.Scientific reports · 2025Article
- A fast-modeling framework for personalized human body models based on a single image.Medical & biological engineering & computing · 2025Article
- Peaks and Distributions of White Matter Tract-related Strains in Bicycle Helmeted Impacts: Implication for Helmet Ranking and Optimization.Annals of biomedical engineering · 2025Article
- A cellulosic fibre foam as a bicycle helmet impact liner for brain injury mitigation in oblique impacts.Heliyon · 2025Article
- How Well Do Popular Bicycle Helmets Protect from Different Types of Head Injury?Annals of biomedical engineering · 2024Article
- Efficient Generation of Pretraining Samples for Developing a Deep Learning Brain Injury Model via Transfer Learning.Annals of biomedical engineering · 2024Article
- When to Pull the Trigger: Conceptual Considerations for Approximating Head Acceleration Events Using Instrumented Mouthguards.Sports medicine (Auckland, N.Z.) · 2024Review
- Instrumented Mouthguards in Elite-Level Men's and Women's Rugby Union: The Incidence and Propensity of Head Acceleration Events in Matches.Sports medicine (Auckland, N.Z.) · 2024Article
- Injured Cyclists' Experiences of Risk Factors: A Content Analysis.Bulletin of emergency and trauma · 2024Article
- Evaluating child helmet protection and testing standards: A study using PIPER child head models aged 1.5, 3, 6, and 18 years.PloS one · 2024Article
- Position-based assessment of head impact frequency, severity, type, and location in high school American football.Frontiers in bioengineering and biotechnology · 2024Article
- Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics.Journal of sport and health science · 2023Article
- An Instrumented Mouthguard for Real-Time Measurement of Head Kinematics under a Large Range of Sport Specific Accelerations.Sensors (Basel, Switzerland) · 2023Article
- An Air-Filled Bicycle Helmet for Mitigating Traumatic Brain Injury.Bioengineering (Basel, Switzerland) · 2023Article
- Whitewater Helmet STAR: Evaluation of the Biomechanical Performance and Risk of Head Injury for Whitewater Helmets.Annals of biomedical engineering · 2022Article
- The Protective Performance of Modern Motorcycle Helmets Under Oblique Impacts.Annals of biomedical engineering · 2022Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 4 countries.
Funding
Abstract
Bicycle helmets are shown to offer protection against head injuries. Rating methods and test standards are used to evaluate different helmet designs and safety performance. Both strain-based injury criteria obtained from finite element brain injury models and metrics derived from global kinematic responses can be used to evaluate helmet safety performance. Little is known about how different injury models or injury metrics would rank and rate different helmets. The objective of this study was to determine how eight brain models and eight metrics based on global kinematics rank and rate a large number of bicycle helmets (n=17) subjected to oblique impacts. The results showed that the ranking and rating are influenced by the choice of model and metric. Kendall's tau varied between 0.50 and 0.95 when the ranking was based on maximum principal strain from brain models. One specific helmet was rated as 2-star when using one brain model but as 4-star by another model. This could cause confusion for consumers rather than inform them of the relative safety performance of a helmet. Therefore, we suggest that the biomechanics community should create a norm or recommendation for future ranking and rating methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.