ArticleFrontiers in bioengineering and biotechnology2022
Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction.
Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.Physiological reports · 2025Trial
- Effect of individual spinal muscle activities on upright posture using a human body finite element model.Scientific reports · 2025Article
- A biomechanical study of neck strength and impact dynamics on head and neck injury parameters.Frontiers in bioengineering and biotechnology · 2025Article
- Efficient 2D Neck Model for Simulation of the Whiplash Injury Mechanism.Bioengineering (Basel, Switzerland) · 2024Article
- Personalization of human body models and beyond via image registration.Frontiers in bioengineering and biotechnology · 2023Article
- Mechanical upside of PAO mainstream fixations: co-simulation based on early postoperative gait characteristics of DDH patients.Frontiers in bioengineering and biotechnology · 2023Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous research has not produced a satisfactory resource to study reflexive muscle activity for investigating potentially injurious whiplash motions. Various experimental and computational studies are available, but none provided a comprehensive biomechanical representation of human response during rear impacts. Three objectives were addressed in the current study to develop female and male finite element human body models with active reflexive neck muscles: 1) eliminate the buckling in the lower cervical spine of the model observed in earlier active muscle controller implementations, 2) evaluate and quantify the influence of the individual features of muscle activity, and 3) evaluate and select the best model configuration that can be used for whiplash injury predictions. The current study used an open-source finite element model of the human body for injury assessment representing an average 50th percentile female anthropometry, together with the derivative 50th percentile male morphed model. Based on the head-neck kinematics and CORelation and Analyis (CORA) tool for evaluation, models with active muscle controller and parallel damping elements showed improved head-neck kinematics agreement with the volunteers over the passive models. It was concluded that this model configuration would be the most suitable for gender-based whiplash injury prediction when different impact severities are to be studied.
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