Optimization of Female Head-Neck Model with Active Reflexive Cervical Muscles in Low Severity Rear Impact Collisions.
Finite element
Human body model
Neck muscle reflex
Rear impact
Whiplash
Journal
Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
05
11
2019
accepted:
11
04
2020
pubmed:
26
4
2020
medline:
22
9
2021
entrez:
26
4
2020
Statut:
ppublish
Résumé
ViVA Open Human Body Model (HBM) is an open-source human body model that was developed to fill the gap of currently available models that lacked the average female size. In this study, the head-neck model of ViVA OpenHBM was further developed by adding active muscle controllers for the cervical muscles to represent the human neck muscle reflex system as studies have shown that cervical muscles influence head-neck kinematics during impacts. The muscle controller was calibrated by conducting optimization-based parameter identification of published-volunteer data. The effects of different calibration objectives to head-neck kinematics were analyzed and compared. In general, a model with active neck muscles improved the head-neck kinematics agreement with volunteer responses. The current study highlights the importance of including active muscle response to mimic the volunteer's kinematics. A simple PD controller has found to be able to represent the behavior of the neck muscle reflex system. The optimum gains that defined the muscle controllers in the present study were able to be identified using optimizations. The present study provides a basis for describing an active muscle controller that can be used in future studies to investigate whiplash injuries in rear impacts.
Identifiants
pubmed: 32333133
doi: 10.1007/s10439-020-02512-1
pii: 10.1007/s10439-020-02512-1
pmc: PMC7773618
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
115-128Subventions
Organisme : VINNOVA
ID : 2016-03353
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