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

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ245-250
ページ数6
ISBN(電子版)9781538613269
DOI
出版ステータスPublished - 2017 12 28
イベント10th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2017 - Kanazawa, Japan
継続期間: 2017 11 222017 11 25

出版物シリーズ

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

Other

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

ASJC Scopus subject areas

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

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