Detection of circadian rhythms using simple EEG device

Saki Yamada; Yasue Mitsukura

doi:10.1109/MECATRONICS.2016.7547135

Detection of circadian rhythms using simple EEG device

Saki Yamada, Yasue Mitsukura

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2016 11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	170-173
Number of pages	4
ISBN (Electronic)	9781509017874
DOIs	https://doi.org/10.1109/MECATRONICS.2016.7547135
Publication status	Published - 2016 Aug 17
Event	11th 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 15 → 2016 Jun 17

Other

Other	11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016
Country/Territory	France
City	Compiegne
Period	16/6/15 → 16/6/17

Keywords

circadian rhythm
simple EEG device
sleeping

ASJC Scopus subject areas

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/MECATRONICS.2016.7547135

Cite this

Yamada, S., & Mitsukura, Y. (2016). Detection of circadian rhythms using simple EEG device. In 2016 11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016 (pp. 170-173). [7547135] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MECATRONICS.2016.7547135

Detection of circadian rhythms using simple EEG device. / Yamada, Saki; Mitsukura, Yasue.

2016 11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 170-173 7547135.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamada, S & Mitsukura, Y 2016, Detection of circadian rhythms using simple EEG device. in 2016 11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016., 7547135, Institute of Electrical and Electronics Engineers Inc., pp. 170-173, 11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016, Compiegne, France, 16/6/15. https://doi.org/10.1109/MECATRONICS.2016.7547135

Yamada S, Mitsukura Y. Detection of circadian rhythms using simple EEG device. In 2016 11th France-Japan and 9th Europe-Asia Congress on Mechatronics, MECATRONICS 2016 / 17th International Conference on Research and Education in Mechatronics, REM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 170-173. 7547135 doi: 10.1109/MECATRONICS.2016.7547135

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title = "Detection of circadian rhythms using simple EEG device",

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.",

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AB - 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.

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Detection of circadian rhythms using simple EEG device

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Keywords

ASJC Scopus subject areas

UN SDGs

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