Title :
Automatic Determination of Sleep-Wake States from EOG Signals using Fusion Technique
Author :
Hendi, S. Farshad ; Hussain, Aini ; Samad, Salina Abdul ; Chieh, Thum Chia ; Mustafa, Mohd Marzuki
Author_Institution :
Dept. of Electr. Electron. & Syst. Eng., Nat. Univ. of Malaysia, Bangi
Abstract :
This paper deals with an alternative method in contrast to common classifiers that use very complex methods such as statistical pattern recognition, fuzzy system and neural networks for determining sleep-wake states from the electrooculogram signals (EOG). The method involves a straight forward EOG based signal processing and feature extraction algorithm based on Lissajous-like plots. This novel method was presented along with a case study to show its performance
Keywords :
electro-oculography; feature extraction; medical signal processing; sleep; EOG based signal processing; Lissajous-like plots; electrooculogram signal; feature extraction; fusion technique; sleep-wake state; Cornea; Electrodes; Electroencephalography; Electrooculography; Fatigue; Humans; Monitoring; Neural networks; Road accidents; Signal processing algorithms;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684539
