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.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | December 31, 2022 |
| Published in Issue | Year 2022 |
