Blink Rate Variability as a Measure of Computer Vision Syndrome
Gahangir Hossain, Mukhtar Bello, Musab Faiyazuddin · Research Square · 2022
Abstract Due to the COVID-19 pandemic and working from home with portable devices, we are spending a longtime on the device screen. Prolonged focus on devices like computer screens, tablets, e-readers, and cellphones – Video Display Terminals (VDTs) has been linked with vision problems which affect over 60 million people globally. The computer related ocular problem is collectively called Computer Vision Syndrome (CVS) [1]. CVS is multidirectional as it affects people differently and with varying associated symptoms. The goal of this research is to analyze Electroencephalograph (EEG) signals and affirm that our hypothesis that if eye Blink rate variability (BRV) is a good indicator of human attentiveness then human attention can be directly correlated to CVS. Two EEG signals were analyzed with one recorded from participant while engaged in a cognitive demanding task and compared with a control data set when participant was in a less attentive. A significant decrease in eye blink rate from 20 to 16 was observed in the signals collected from the participants engaged in cognitive task.