Paper Info
Title
An Eog-Based Automatic Sleep Scoring System And Its Related Application In Sleep Environmental Control
Abstract
Human beings spend approximately one third of their lives sleeping. Conventionally, to evaluate a subjects sleep quality, all-night polysomnogram (PSG) readings are taken and scored by a well-trained expert. Unlike a bulky PSG or EEG recorder on the head, the development of an electrooculogram (EOG)-based automatic sleep-staging system will enable physiological computing systems (PhyCS) to progress toward easy sleep and comfortable monitoring. In this paper, an EOG-based sleep scoring system is proposed. EOG signals are also coupling some of sleep characteristics of EEG signals. Compared to PSG or EEG recordings, EOG has the advantage of easy placement, and can be operated by the user individually at home. The proposed method was found to be more than 83% accurate when compared with the manual scorings applied to sixteen subjects. In addition to sleep-quality evaluation, the proposed system encompasses adaptive brightness control of light according to online monitoring of the users sleep stages. The experiments show that the EOG-based sleep scoring system is a practicable solution for homecare and sleep monitoring due to the advantages of comfortable recording and accurate sleep staging.
Year
DOI
Venue
2014
10.1007/978-3-662-45686-6_5
PHYSIOLOGICAL COMPUTING SYSTEMS, PHYCS 2014
Keywords
Field
DocType
Sleep, Sleep stage, Adaptive system, Electrooculogram (EOG), Interaction design, Sleep quality
Polysomnogram,Adaptive system,Psychology,Sleep monitoring,Speech recognition,Physiological computing,Sleep quality,Electroencephalography,Sleep Stages,Scoring system
Conference
Volume
ISSN
Citations 
8908
0302-9743
3
PageRank 
References 
Authors
0.44
13
8
Name
Order
Citations
PageRank
Chih-En Kuo1101.59
Sheng-fu Liang262157.58
Yi-Chieh Lee3262.08
Fu-Yin Cherng4415.60
Wen-Chieh Lin547644.50
Peng-Yu Chen630.44
Yen-Chen Liu726922.30
Fu-Zen Shaw830.44