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Recent advances in finite element modeling of the human cervical spine
- Source :
- Journal of Mechanical Science and Technology. 32:1-10
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- The human cervical spine is a complex structure that is the most frequently injured site among all spinal injuries. Therefore, understanding of the cervical spine injury and dysfunction, and also biomechanical response to external stimuli is important. Finite element (FE) modeling can help researchers to access the internal stresses and strains in the bones, ligaments and soft tissues more realistically, and it has been widely adopted for spine biomechanics research. Although in recent years numerous techniques have been developed, there are no recent literature reviews on FE models of the cervical spine. Our objective was to present recent advances in FE modeling of the human cervical spine in terms of component modeling, material properties, and validation procedures. Model applications and further development are also discussed. The integration of new technologies will allow us to generate more accurate and comprehensive model of the cervical spine, which can increase efficiency and model applicability. Finally, the FE modeling can help to facilitate diagnosis, treatment, and prevention technologies for cervical spine injuries.
- Subjects :
- medicine.medical_specialty
Computer science
Component modeling
Mechanical Engineering
0206 medical engineering
02 engineering and technology
Cervical spine injury
musculoskeletal system
020601 biomedical engineering
Cervical spine
Finite element method
03 medical and health sciences
0302 clinical medicine
Physical medicine and rehabilitation
Mechanics of Materials
medicine
Spine biomechanics
Fe model
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 19763824 and 1738494X
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Journal of Mechanical Science and Technology
- Accession number :
- edsair.doi...........f32589cd08361221c9aa5f2b69d82580
- Full Text :
- https://doi.org/10.1007/s12206-017-1201-2