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Predicting Concussion Symptoms Using Computer Simulations

  • Milan Toma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 880)

Abstract

The reported rate of concussion is smaller than the actual rate. Less than half of concussion cases in high school football players is reported. The ultimate concern associated with unreported concussion is increased risk of cumulative effects from recurrent injury. This can, partially, be attributed to the fact that the signs and symptoms of a concussion can be subtle and may not show up immediately. Common symptoms after a concussive traumatic brain injury are headache, amnesia and confusion. Computer simulations, based on the impact force magnitude, location and direction, are able to predict these symptoms and their severity. When patients are aware of what to expect in the coming days after head trauma, they are more likely to report the signs of concussion, which decreases the potential risks of unreported injury. In this work, the first ever fluid-structure interaction analysis is used to simulate the interaction between cerebrospinal fluid and comprehensive brain model to assess the concussion symptoms when exposed to head trauma conditions.

Keywords

Head injury Concussion Fluid-structure interaction Simulations 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Computational Bio-FSI Laboratory, College of Engineering and Computing Sciences, Department of Mechanical EngineeringNew York Institute of TechnologyOld WestburyUSA

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