Development of real-time evaluation system for qualitative improvement of awake EEG records

Recording of awake electroencephalogram (EEG) with sufficient quality is crucial for accurate and significant EEG analysis. However, since the EEG recording is time consuming task, to maintain the quality of records enough is not with the ease. Real-time evaluation system was developed to improve the quality of awake EEG records. Possibility for vigilance level decline of subjects and artifacts contamination were taken account of items on evaluating the quality of EEG records. EEG organization was adopted for estimating the deterioration of quality of recorded EEG due to drowsiness. Developed system was applied to the recorded EEG of three normal healthy adults and five patients with neurological disorders. Detected information of possibility for vigilance level decline and artifacts contamination was displayed in real-time during the recording. Results were investigated and were within a satisfactory level. Real-time evaluation system can be used as an effective computer-assisted tool for improving the quality of awake EEG records.