Evaluation of Glasgow Coma Score Using Electroencephalogram Signals

Electroencephalogram (EEG) is a non-invasive electrophysiological monitoring method used for evaluation of electrical activity in the brain. EEG analysis is a useful tool for continuous measurement of neurological function. Evaluation of the patient's state of consciousness is important for neurological evaluation. Glasgow Coma Score (GCS) is the most used system in the evaluation of coma status in intensive care units. The examination of eye movements, motor response and verbal response from neurological functions results in the decision of GCS. GCS provides information about the patient's state of consciousness but is not a complete neurological assessment tool. GCS is not a reliable and adequate method for inexperienced users. In this study, EEG signals were obtained from 34 coma patients. Feature extraction was performed from the recorded EEG signals in different stages (resting and auditory stimulus) using the Power Spectral Density method. It is aimed to classify consciousness levels (GCS levels) successfully with EEG signals using various classification methods. As a result, consciousness levels were classified with 92.5% accuracy as a first study in the literature.