An EOG-based sleep monitoring system and its application on on-line sleep-stage sensitive light control

Chih En Kuo, Sheng Fu Liang, Yi Chieh Li, Fu Yin Cherng, Wen-Chieh Lin, Peng Yu Chen, Yen Chen Liu, Fu Zen Shaw

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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 system is a practicable solution for home-use sleep monitoring due to the advantages of comfortable recording and accurate sleep staging.

Original languageEnglish
Title of host publicationPhyCS 2014 - Proceedings of the International Conference on Physiological Computing Systems
PublisherSciTePress
Pages20-30
Number of pages11
ISBN (Print)9789897580062
StatePublished - 1 Jan 2014
EventInternational Conference on Physiological Computing Systems, PhyCS 2014 - Lisbon, Portugal
Duration: 7 Jan 20149 Jan 2014

Publication series

NamePhyCS 2014 - Proceedings of the International Conference on Physiological Computing Systems

Conference

ConferenceInternational Conference on Physiological Computing Systems, PhyCS 2014
CountryPortugal
CityLisbon
Period7/01/149/01/14

Keywords

  • Adaptive system
  • Electrooculogram (EOG)
  • Interaction design
  • Sleep
  • Sleep quality
  • Sleep stage

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  • Cite this

    Kuo, C. E., Liang, S. F., Li, Y. C., Cherng, F. Y., Lin, W-C., Chen, P. Y., Liu, Y. C., & Shaw, F. Z. (2014). An EOG-based sleep monitoring system and its application on on-line sleep-stage sensitive light control. In PhyCS 2014 - Proceedings of the International Conference on Physiological Computing Systems (pp. 20-30). (PhyCS 2014 - Proceedings of the International Conference on Physiological Computing Systems). SciTePress.