Analysis of Health and Physiological Index Based on Sleep and Walking Steps by Wearable Devices for the Elderly

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

3 Citations (Scopus)

Abstract

In this study, we use wearable devices to monitor the health and physiological indicators of the elderly, and analyze the effects of the elderly's walking steps and sleep as the measurable health and physiological indexes. Eighteen cases of the elderly who received health management services are selected. We establish the generalized linear mixed model, and Pearson correlation analysis result shows statistically significant for the number of walking steps and systolic blood pressure/diastolic blood pressure. The number of walking steps is positively correlated with the systolic/diastolic pressure. The more walking steps and the better the sleep quality, the more stable the daily blood pressure is. Therefore, it is possible to effectively control the elderly's blood pressure by exercising and managing sleeping. It can be better for the elderly to have self-esteem health managed by using wearable devices, and encourage the elderly to exercise at a certain extent.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages245-250
Number of pages6
ISBN (Electronic)9781538613269
DOIs
Publication statusPublished - 2017 Dec 28
Event10th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2017 - Kanazawa, Japan
Duration: 2017 Nov 222017 Nov 25

Publication series

NameProceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017
Volume2017-January

Other

Other10th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2017
Country/TerritoryJapan
CityKanazawa
Period17/11/2217/11/25

Keywords

  • health data
  • living support for the elderly
  • statistical analysis
  • wearable device

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management

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