DocumentCode
2445413
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
Volume
1
fYear
0
fDate
0-0 0
Firstpage
1165
Lastpage
1169
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location
Damascus
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684539
Filename
1684539
Link To Document