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

Keywords

• Electro-oculography
• Medical signal processing
• Signal classification
• Scalogram computation