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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 30, Number 7(1) (2018)
Copyright(C) MYU K.K.
pp. 1437-1446
S&M1598 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2018.1882
Published: July 13, 2018

A Proposal for a Sleep Disorder Detection System [PDF]

Suthipat Swangarom, Takuya Tajima, Takehiko Abe, and Haruhiko Kimura

(Received December 28, 2017; Accepted February 13, 2018)

Keywords: sleep disorder, detection system, clinical depression, insomnia, pressure distribution sensor

The purpose of this study was to develop a sleep disorder detection system using pressure distribution sensors to examine and differentiate between a person with a sleep disorder and a healthy person. The Athens insomnia scale (AIS) questionnaire was used in this study. The participants were between 20 and 26 years old. A fabric-sheet pressure distribution sensor was used to collect data from the participants while they were sleeping. There is pressure from the body on the sensors while the participant is sleeping. Therefore, we can know the movement of the body from the measurement of this pressure. The sensor’s sampling rate was 1/s. We observed different conditions of healthy and sleep disorder examinees while they were sleeping. The environment for the experiment was the participant’s bedroom. Thus, they did not feel strange with this experiment. Data were analyzed using a support vector machine (SVM) to separate the data between healthy people and people with sleep disorders.

Corresponding author: Tajima Takuya


Cite this article
Suthipat Swangarom, Takuya Tajima, Takehiko Abe, and Haruhiko Kimura, A Proposal for a Sleep Disorder Detection System, Sens. Mater., Vol. 30, No. 7, 2018, p. 1437-1446.



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