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

    1 Citation (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
    Volume2017-January
    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

    Other

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

    Fingerprint

    Blood pressure
    Health
    Sleep

    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

    Cite this

    Zhou, S., Ogihara, A., Nishimura, S., & Jin, Q. (2017). Analysis of Health and Physiological Index Based on Sleep and Walking Steps by Wearable Devices for the Elderly. In Proceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017 (Vol. 2017-January, pp. 245-250). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SOCA.2017.42

    Analysis of Health and Physiological Index Based on Sleep and Walking Steps by Wearable Devices for the Elderly. / Zhou, Siyu; Ogihara, Atsushi; Nishimura, Shoji; Jin, Qun.

    Proceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 245-250.

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

    Zhou, S, Ogihara, A, Nishimura, S & Jin, Q 2017, Analysis of Health and Physiological Index Based on Sleep and Walking Steps by Wearable Devices for the Elderly. in Proceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 245-250, 10th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2017, Kanazawa, Japan, 17/11/22. https://doi.org/10.1109/SOCA.2017.42
    Zhou S, Ogihara A, Nishimura S, Jin Q. Analysis of Health and Physiological Index Based on Sleep and Walking Steps by Wearable Devices for the Elderly. In Proceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 245-250 https://doi.org/10.1109/SOCA.2017.42
    Zhou, Siyu ; Ogihara, Atsushi ; Nishimura, Shoji ; Jin, Qun. / Analysis of Health and Physiological Index Based on Sleep and Walking Steps by Wearable Devices for the Elderly. Proceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 245-250
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