Detection of traumatic brain injuries using fuzzy logic algorithm

Authors:
Inan Güler;Ayşe Tunca;Eyyüp Gülbandilar
Affiliations:
Gazi University, Faculty of Technical Education, Department of Electronic and Computer Education, Beşevler, 06500 Ankara, Turkey;Dirimsel Outpatient Clinic, Department of Neurology, Balgat, 06520 Ankara, Turkey;Dumlupinar University, Faculty of Engineering, Department of Computer Engineering, Kütahya, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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Abstract

The aim of this study was to develop a diagnostic system for detecting the severity of traumatic brain injuries using fuzzy logic. Twenty-six traumatic brain injury patients in different age and gender were taken in the study. Electroencephalography, Trauma and Glasgow coma scores were used for evaluating the system. The results were compared with the findings of neurologists. We found a significant relationship between the findings of neurologists and systems output for normal, mild and severe electroencephalography tracing data. Getting this system in routine use will facilitate to make a rapid decision for the degree of trauma with electroencephalography.