標題: An EOG-Based Automatic Sleep Scoring System and Its Related Application in Sleep Environmental Control
作者: Kuo, Chih-En
Liang, Sheng-Fu
Lee, Yi-Chieh
Cherng, Fu-Yin
Lin, Wen-Chieh
Chen, Peng-Yu
Liu, Yen-Chen
Shaw, Fu-Zen
資訊工程學系
Department of Computer Science
關鍵字: Sleep;Sleep stage;Adaptive system;Electrooculogram (EOG);Interaction design;Sleep quality
公開日期: 1-一月-2014
摘要: 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
http://hdl.handle.net/11536/125156
ISBN: 978-3-662-45686-6; 978-3-662-45685-9
ISSN: 0302-9743
DOI: 10.1007/978-3-662-45686-6_5
期刊: PHYSIOLOGICAL COMPUTING SYSTEMS, PHYCS 2014
Volume: 8908
起始頁: 71
結束頁: 88
顯示於類別:會議論文


文件中的檔案:

  1. 000354701700005.pdf