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contributor authorPurushothaman
contributor authorYuvaraj;Yoganandan
contributor authorNarayan
date accessioned2022-08-18T12:52:40Z
date available2022-08-18T12:52:40Z
date copyright7/7/2022 12:00:00 AM
date issued2022
identifier issn2572-7958
identifier otherjesmdt_005_04_041004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287020
description abstractWhile many studies have been conducted to delineate the role of gender in rear impact via experiments, clinical investigations, modeling, and epidemiological research, the effect of the added head mass on segmental motions has received less attention. The objective of the study is to determine the role of the head supported mass on the segmental motions and loads on the cervical spinal column from rear impact loading. The study used finite element modeling. The model was subjected to mesh convergence studies. It was validated with human cadaver experimental data by applying the rear impact acceleration pulse to the base of the spine. At all levels of the subaxial spinal column, a comparison was made between male and female spines and with and without the use of an army combat helmet. For this purpose, segmental motions, forces, and bending moments were used as biomechanical parameters. Results showed that female spines responded with increased motions than males, and the presence of a helmet increased motions and loads in males and female spines at all levels. Numerical data are given. Head supported mass affects spine responses at all levels. The present computational modeling study, from one geometry for the male spine and one geometry for the female spine (limitations are addressed in the paper), provided insights into the mechanisms of the internal load transfer with the presence of head supported mass, prevalent in certain civilian occupations and active-duty Service members in the military.
publisherThe American Society of Mechanical Engineers (ASME)
titleGender Differences in Cervical Spine Motions and Loads With Head Supported Mass Using Finite Element Models
typeJournal Paper
journal volume5
journal issue4
journal titleJournal of Engineering and Science in Medical Diagnostics and Therapy
identifier doi10.1115/1.4054856
journal fristpage41004-1
journal lastpage41004-8
page8
treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2022:;volume( 005 ):;issue: 004
contenttypeFulltext


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