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Authors: Chih-En Kuo 1 ; Sheng-Fu Liang 1 ; Yi-Chieh Li 2 ; Fu-Yin Cherng 2 ; Wen-Chieh Lin 2 ; Peng-Yu Chen 1 ; Yen-Chen Liu 1 and Fu-Zen Shaw 1

Affiliations: 1 National Cheng Kung University, Taiwan ; 2 National Chiao Tung University, Taiwan

ISBN: 978-989-758-006-2

Keyword(s): Sleep, Sleep Stage, Adaptive System, Electrooculogram (EOG), Interaction Design, Sleep Quality.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Devices for Computer Interaction ; Biomedical Engineering ; Biomedical Instruments and Devices ; Biomedical Signal Processing ; Biosignal Acquisition, Analysis and Processing ; Devices ; Health Information Systems ; Health Monitoring Devices ; Human-Computer Interaction ; Interactive Physiological Systems ; Methodologies and Methods ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Wearable Sensors and Systems

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. The development of an automatic sleep-staging system that does not rely upon mounting a bulky PSG or EEG recorder on the head will enable physiological computing systems (PhyCS) to progress toward easy sleep and comfortable monitoring. In this paper, an electrooculogram (EOG)-based sleep scoring system is proposed. Compared to PSG or EEG recordings, EOG has the advantage of easy placement, and can be operated by the user individually. 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 sys tem is a practicable solution for home-use sleep monitoring due to the advantages of comfortable recording and accurate sleep staging. (More)

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Paper citation in several formats:
Kuo, C.; Liang, S.; Li, Y.; Cherng, F.; Lin, W.; Chen, P.; Liu, Y. and Shaw, F. (2014). An EOG-based Sleep Monitoring System and Its Application on On-line Sleep-stage Sensitive Light Control.In Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-006-2, pages 20-30. DOI: 10.5220/0004725600200030

@conference{phycs14,
author={Chih{-}En Kuo. and Sheng{-}Fu Liang. and Yi{-}Chieh Li. and Fu{-}Yin Cherng. and Wen{-}Chieh Lin. and Peng{-}Yu Chen. and Yen{-}Chen Liu. and Fu{-}Zen Shaw.},
title={An EOG-based Sleep Monitoring System and Its Application on On-line Sleep-stage Sensitive Light Control},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2014},
pages={20-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004725600200030},
isbn={978-989-758-006-2},
}

TY - CONF

JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - An EOG-based Sleep Monitoring System and Its Application on On-line Sleep-stage Sensitive Light Control
SN - 978-989-758-006-2
AU - Kuo, C.
AU - Liang, S.
AU - Li, Y.
AU - Cherng, F.
AU - Lin, W.
AU - Chen, P.
AU - Liu, Y.
AU - Shaw, F.
PY - 2014
SP - 20
EP - 30
DO - 10.5220/0004725600200030

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