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 language | English |
|---|---|
| Title of host publication | Proceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 245-250 |
| Number of pages | 6 |
| Volume | 2017-January |
| ISBN (Electronic) | 9781538613269 |
| DOIs | |
| Publication status | Published - 2017 Dec 28 |
| Event | 10th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2017 - Kanazawa, Japan Duration: 2017 Nov 22 → 2017 Nov 25 |
Other
| Other | 10th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2017 |
|---|---|
| Country | Japan |
| City | Kanazawa |
| Period | 17/11/22 → 17/11/25 |
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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
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 proceeding › Conference contribution
}
TY - GEN
T1 - Analysis of Health and Physiological Index Based on Sleep and Walking Steps by Wearable Devices for the Elderly
AU - Zhou, Siyu
AU - Ogihara, Atsushi
AU - Nishimura, Shoji
AU - Jin, Qun
PY - 2017/12/28
Y1 - 2017/12/28
N2 - 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.
AB - 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.
KW - health data
KW - living support for the elderly
KW - statistical analysis
KW - wearable device
UR - http://www.scopus.com/inward/record.url?scp=85046976176&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046976176&partnerID=8YFLogxK
U2 - 10.1109/SOCA.2017.42
DO - 10.1109/SOCA.2017.42
M3 - Conference contribution
AN - SCOPUS:85046976176
VL - 2017-January
SP - 245
EP - 250
BT - Proceedings - 2017 IEEE 10th International Conference on Service-Oriented Computing and Applications, SOCA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -