Prediction of neck injury risk based on the analysis of localized cervical vertebral motion of human volunteers during low-speed rear impacts

Koshiro Ono*, Susumu Ejima, Youhei Suzuki, Koji Kaneoka, Makoto Fukushima, Sadayuki Ujihashi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

48 Citations (Scopus)

Abstract

To clarify the mechanism that causes injury to the neck during rear-end collisions, the neck behavior of volunteer test subjects was carefully analyzed. As a result, stretch propagation was found to occur in soft tissue such as facet joint capsules, intervertebral discs and ligaments. The effects of gender and muscle condition on cervical vertebral motion were also revealed, and their respective roles in cervical injury risk were considered. Furthermore, the relation between the state of discomfort of volunteers after the experiments and the strain of intervertebral disc and facet joints indicated that it might be possible to estimate the risk of neck injury occurrence.

Original languageEnglish
Title of host publicationInternational Research Council on the Biomechanics of Impact - 2006 International IRCOBI Conference on the Biomechanics of Impact, Proceedings
Pages103-113
Number of pages11
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event2006 International IRCOBI Conference on the Biomechanics of Impact - Madrid, Spain
Duration: 2006 Sept 202006 Sept 22

Publication series

NameInternational Research Council on the Biomechanics of Impact - 2006 International IRCOBI Conference on the Biomechanics of Impact, Proceedings

Conference

Conference2006 International IRCOBI Conference on the Biomechanics of Impact
Country/TerritorySpain
CityMadrid
Period06/9/2006/9/22

Keywords

  • Gender
  • Injury criteria
  • Muscle
  • Neck
  • Volunteers
  • Whiplash

ASJC Scopus subject areas

  • Clinical Biochemistry

Fingerprint

Dive into the research topics of 'Prediction of neck injury risk based on the analysis of localized cervical vertebral motion of human volunteers during low-speed rear impacts'. Together they form a unique fingerprint.

Cite this