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FEM 2D analysis of mild traumatic brain injury on a child

  • Universidad de Tarapacá

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Traumatic brain injury is one of the most frequent causes of disability amongst children and adolescents. There are cognitive and neurological effects caused by repetitive head injuries. Learning deficiency is likely to be the result of early head injurie. This may impact the ability to control emotions and exhibit inappropriate behaviour. These children have trouble responding to subtle social cues and planning difficult tasks. Concussions can occur whenever there is a collision of the head against a hard object. The aim of this investigation is the modelling, by means of the two-dimensional Finite Element Method, of brain stress in children caused by head injuries. Three impact cases were analyzed: a concentrate left brain side blow, a diffused blow and a frontal head collision. The brain damage is determined by comparing the last resistance of the arteriole and neurone. The mathematical models can be used for protective design and demonstrating the brain damage.

Original languageEnglish
Title of host publicationPattern Recognition and Machine Intelligence - Second International Conference, PReMI 2007, Proceedings
PublisherSpringer Nature
Pages186-191
Number of pages6
ISBN (Print)3540770453, 9783540770459
DOIs
StatePublished - 2007
Event2nd International Conference on Pattern Recognition and Machine Intelligence, PReMI 2007 - Kolkata, India
Duration: 18 Dec 200722 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4815 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Pattern Recognition and Machine Intelligence, PReMI 2007
Country/TerritoryIndia
CityKolkata
Period18/12/0722/12/07

Keywords

  • Bio-informatics
  • Brain injury
  • Computational neuroscience
  • Finite elements

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