Detection of circadian rhythms using simple EEG device

Saki Yamada, Yasue Mitsukura

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

1 Citation (Scopus)

Abstract

Circadian rhythms (CRs) of human have a role to maintain our mind and body together with our health. Thus, a disorder of CRs is a serious problem because it evokes critical disease. In this society, we have a lot of factor that causes a disorder of CRs, such as a social stress and a light of smartphone in the night. Hence, observing our CRs ourselves is an efficient method to prevent it. We are supposed to realize it with a simple electroencephalographic (EEG) device which allows us to measure an EEG signal easily in our daily life. In this research, we investigate the possibility of detecting CRs by a simple EEG device. Sleeping is one of the functions of CRs but it would be thrown into disorder by watching smartphone at the night. Thus, we examine the time required to falling asleep as a behavior of CRs which could be influenced by watching smartphone. Our goal is to detect and identify the CRs of 24 hours by a simple EEG device.

Original languageEnglish
Title of host publication2016 11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages170-173
Number of pages4
ISBN (Electronic)9781509017874
DOIs
Publication statusPublished - 2016 Aug 17
Event11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016 - Compiegne, France
Duration: 2016 Jun 152016 Jun 17

Other

Other11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016
CountryFrance
CityCompiegne
Period16/6/1516/6/17

Keywords

  • circadian rhythm
  • simple EEG device
  • sleeping

ASJC Scopus subject areas

  • Mechanical Engineering
  • Modelling and Simulation
  • Education
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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