Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers

Shuichi Fukuda; Yuki Matsuda; Yutaka Arakawa; Keiichi Yasumoto

doi:10.23919/ICMU50196.2021.9638882

Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers

Shuichi Fukuda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto

Advanced Inormation and Communication Technology

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

Abstract

Occupational health issues such as depressions have become a serious problem in recent years. There is an urgent necessity for the early preventive detection of depression rather than a yearly survey. Toward detecting depression signs, this paper statistically analyzes the relationship between occupational health indicators collected by questionnaires and sleep status (sleeping condition and heart rate data) during bedtime measured by a common wearable device.

Original language	English
Title of host publication	13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9784907626488
DOIs	https://doi.org/10.23919/ICMU50196.2021.9638882
Publication status	Published - 2021
Event	13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021 - Tokyo, Japan Duration: Nov 17 2021 → Nov 19 2021

Publication series

Name	13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021

Conference

Conference	13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021
Country/Territory	Japan
City	Tokyo
Period	11/17/21 → 11/19/21

All Science Journal Classification (ASJC) codes

Information Systems and Management
Control and Optimization
Computer Networks and Communications

Access to Document

10.23919/ICMU50196.2021.9638882

Cite this

Fukuda, S., Matsuda, Y., Arakawa, Y., & Yasumoto, K. (2021). Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers. In 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021 (13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICMU50196.2021.9638882

Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers. / Fukuda, Shuichi; Matsuda, Yuki; Arakawa, Yutaka et al.

13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021).

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

Fukuda, S, Matsuda, Y, Arakawa, Y & Yasumoto, K 2021, Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers. in 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021. 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021, Institute of Electrical and Electronics Engineers Inc., 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021, Tokyo, Japan, 11/17/21. https://doi.org/10.23919/ICMU50196.2021.9638882

Fukuda S, Matsuda Y, Arakawa Y, Yasumoto K. Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers. In 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021). doi: 10.23919/ICMU50196.2021.9638882

Fukuda, Shuichi ; Matsuda, Yuki ; Arakawa, Yutaka et al. / Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers. 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021).

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title = "Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers",

abstract = "Occupational health issues such as depressions have become a serious problem in recent years. There is an urgent necessity for the early preventive detection of depression rather than a yearly survey. Toward detecting depression signs, this paper statistically analyzes the relationship between occupational health indicators collected by questionnaires and sleep status (sleeping condition and heart rate data) during bedtime measured by a common wearable device. ",

author = "Shuichi Fukuda and Yuki Matsuda and Yutaka Arakawa and Keiichi Yasumoto",

note = "Funding Information: ACKNOWLEDGMENT This work was partially supported by JSPS KAKENHI Grant Number JP18H03233. Publisher Copyright: {\textcopyright} 2021 IPSJ.; 13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021 ; Conference date: 17-11-2021 Through 19-11-2021",

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Statistical Analysis between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers

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