Citation

Albert B, Noyvirt A, Setchi R, Sjaaheim H, Velikova S, Strisland F. Procedia Comput. Sci. 2016; 96: 692-702.

Copyright

(Copyright © 2016, Elsevier Publishing)

DOI

10.1016/j.procs.2016.08.252

PMID

unavailable

Abstract

Early detection and diagnosis of Traumatic Brain Injury (TBI) could reduce significantly the death rate and improve the quality of life of the people affected if emergency services are equipped with tools for TBI diagnosis at the place of the accident. This problem is addressed here by proposing a portable decision support system called EmerEEG, which is based on Quantitative Electroencephalography (qEEG). The contributions of the paper are the proposed system concept, architecture and decision support for TBI diagnosis. By the virtue of its easily operable mobile system, the proposed solution for emergency TBI diagnosis provides valuable decision support at a very early stage after an accident, thereby enabling a short response time in critical situations and better prospects for the people affected.

Language: en