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

5 Citations (Scopus)

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
DOIs
Publication statusPublished - 2014
EventInternational Conference on Physiological Computing Systems, PhyCS 2014 - Lisbon, Portugal
Duration: 2014 Jan 72014 Jan 9

Publication series

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

Other

OtherInternational Conference on Physiological Computing Systems, PhyCS 2014
CountryPortugal
CityLisbon
Period14-01-0714-01-09

All Science Journal Classification (ASJC) codes

  • Software

Fingerprint Dive into the research topics of 'An EOG-based sleep monitoring system and its application on on-line sleep-stage sensitive light control'. Together they form a unique fingerprint.

Cite this