Title: An EOG-Based Automatic Sleep Scoring System and Its Related Application in Sleep Environmental Control
Authors: Kuo, Chih-En
Liang, Sheng-Fu
Lee, Yi-Chieh
Cherng, Fu-Yin
Lin, Wen-Chieh
Chen, Peng-Yu
Liu, Yen-Chen
Shaw, Fu-Zen
Department of Computer Science
Keywords: Sleep;Sleep stage;Adaptive system;Electrooculogram (EOG);Interaction design;Sleep quality
Issue Date: 1-Jan-2014
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.
URI: http://dx.doi.org/10.1007/978-3-662-45686-6_5
ISBN: 978-3-662-45686-6; 978-3-662-45685-9
ISSN: 0302-9743
DOI: 10.1007/978-3-662-45686-6_5
Volume: 8908
Begin Page: 71
End Page: 88
Appears in Collections:Conferences Paper

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