Analysis of EEG and EOG Changes from Alertness to Sleepiness

Abstract

This study is the first step towards a sleepiness detecting system based on Forehead-EEG which disturbs the user much less in daily life First we continuously observe the behaviors and signals from alertness to sleepiness and asleep Then we find some different patterns in the transition of each state After that we would grab some patterns could be used in the Forehead-EEG signal However the first thing we should confirm is the applicability and feasibility of the Forehead-EEG signal To confirm the applicability of the signal we observe both the video recorded by the camera and the physiological signals Verifying the feasibility of the signal we compare the phenomenon observed in video and signal Besides we also compare the patterns between Forehead-EEG signal and EEG signal as ground truth in each stage after eye-closure In the study we conclude some patterns that could be used in the detecting system based on Forehead-EEG First blink patterns such as blinking duration and blinking rate changes from alertness to sleepiness Second the slow eye movement is observed after closing eyes The last one sleep spindle (12-14 Hz) in stage N2 can be the last-ditch attempt to rouse the user while close wake and stage N1 are short that we have found as scoring stages in the study

Date of Award	2017 Aug 24
Original language	English
Supervisor	Sheng-Fu Liang (Supervisor)