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contributor authorV. Kostopoulos
contributor authorE. Douzinas
contributor authorT. H. Loutas
contributor authorC. Derdas
date accessioned2017-05-09T00:27:03Z
date available2017-05-09T00:27:03Z
date copyrightApril, 2008
date issued2008
identifier issn0148-0731
identifier otherJBENDY-26799#021017_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137492
description abstractThe present work deals with the application of an innovative in-house developed wavelet-based methodology for the analysis of the acceleration responses of a human head complex model as a simulated diffused oedema progresses. The human head complex has been modeled as a structure consisting of three confocal prolate spheroids, whereas the three defined regions by the system of spheroids, from the outside to the inside, represent the scull, the region of cerebrospinal fluid, and the brain tissue. A Dirac-like pulse has been used to excite the human head complex model and the acceleration response of the system has been calculated and analyzed via the wavelet-based methodology. For the purpose of the present analysis, a wave propagation commercial finite element code, LS-DYNA 3D , has been used. The progressive diffused oedema was modeled via consecutive increases in brain volume accompanied by a decrease in brain density. It was shown that even a small increase in brain volume (at the level of 0.5%) can be identified by the effect it has on the vibration characteristics of the human head complex. More precisely, it was found that for some of the wavelet decomposition levels, the energy content changes monotonically as the brain volume increases, thus providing a useful index of monitoring an oncoming brain oedema before any brain damage appears due to uncontrolled intracranial hypertension. For the purpose of the present work and for the levels of brain volume increase considered in the present analysis, no pressure increase was assumed into the cranial vault and, associatively, no brain compliance variation.
publisherThe American Society of Mechanical Engineers (ASME)
titleWavelet Analysis of Head Acceleration Response Under Dirac Excitation for Early Oedema Detection
typeJournal Paper
journal volume130
journal issue2
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.2903432
journal fristpage21017
identifier eissn1528-8951
keywordsBrain
keywordsWavelets
keywordsSignals AND Finite element model
treeJournal of Biomechanical Engineering:;2008:;volume( 130 ):;issue: 002
contenttypeFulltext


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