Design of an Arduino-Powered Sleep Monitoring System Based on Electrooculography (EOG) with Temperature Control Applications

Abstract

Sleeping takes up about a third of a person's life. Traditionally, an all-night polysomnogram (PSG) is taken from the individual and assessed by a well-trained specialist to assess sleep quality. An electrooculogram-based sleep monitoring system is proposed in this research. Compared to PSG or EEG recordings, EOG is easier to put and can be used independently. An EOG sleep monitoring device was designed using the Arduino Uno Module and has achieved an overall accuracy of 82.31% in identifying various sleep stages. In addition to sleep quality assessment, adaptive temperature control based on the proposed system's monitoring of the users' sleep stages was applied for active sleep environment control. Results had shown that users could sleep better when the temperature varied according to their sleep stages.