Analysis on visual signal based on the effect of eye massaging device using wavelet transform

Abstract

This study has been conducted to examine the effectiveness of the eye massaging device to reduce massive amount of eyesight problem. The electrical activity of the muscles surrounding the eyes is recorded by using Neurofax EEG-9200 machine. Electroencephalography (EEG) is a process to determine the brain signal, while Electrooculography (EOG) is used to measure the biopotential produced by the changes in eye position and eye movement occurred. The conventional electrode setting (also called 10-20) system is applied on the scalp electrodes for EEG to record the brain signals. While five electrodes on the forehead is used to record EOG signals. Channel O1 and O2 that act as visual processing is selected in order to record EEG signals. The signal is analyzed using Wavelet Transform and the useful parameter, Energy of Approximation (Ea) was extracted. In this study, t-test analysis is used to validate the differences of data produced before and after using eye massaging device. Based on the results, the average value collected for EEG signals before using the eye massaging device has been decreased for both channel with the different (O1: 5.083, O2: 3.385). Thus, it is proved that the eye massaging device exhibit difference for each movement tested.