Analysis of Eye Movements with 2D Images Obtained by EOG Signals

Abstract

EOG signals are used for diagnosing of various eye diseases and dysfunctions and eye movementmonitoring in neurological disorders. It has also been used as a source signal for various electronic systems andhuman-machine interfaces, especially in recent years, since the movements of the eye in the horizontal andvertical axis and blinking movements can be detected by EOG. In using EOG signals as source signals, it isnecessary to analyze this signal and use various features extracted from the signal. In this study, EOG signalsfrom one of the authors were used with the Biopac MP30 device within the scope of the Sakarya UniversityElectrical and Electronics Engineering, Biomedical Laboratory course. EOG signs were used in four classeslooking up, down, right and left. Scalogram matrices are extracted for each movement in the EOG signals withthe continuous wavelet transform. As a result of the imaging of the scalogram matrices, it was seen that therewere significant differences in the images of the four classes. It is predicted that the results of the analysis madeon the images can improve the accuracy rates in classification systems according to one-dimensional analysismethods when used together with expert systems.