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

Shuichi Fukuda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784907626488
DOIs
Publication statusPublished - 2021
Event13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021 - Tokyo, Japan
Duration: Nov 17 2021Nov 19 2021

Publication series

Name13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021

Conference

Conference13th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2021
Country/TerritoryJapan
CityTokyo
Period11/17/2111/19/21

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Control and Optimization
  • Computer Networks and Communications

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