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Proceedings of the Future Technologies Conference

FTC 2018: Proceedings of the Future Technologies Conference (FTC) 2018 pp 557–568Cite as

Predicting Concussion Symptoms Using Computer Simulations

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Authors and Affiliations

  1. Computational Bio-FSI Laboratory, College of Engineering and Computing Sciences, Department of Mechanical Engineering, New York Institute of Technology, Northern Boulevard, Old Westbury, NY, 11568, USA

    Milan Toma

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  1. Milan Toma
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Correspondence to Milan Toma .

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Editors and Affiliations

  1. Saga University , Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

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Toma, M. (2019). Predicting Concussion Symptoms Using Computer Simulations. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 880. Springer, Cham. https://doi.org/10.1007/978-3-030-02686-8_42

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