TY - JOUR
T1 - Analysis of health changes and the association of health indicators in the elderly using TCM pulse diagnosis assisted with ICT devices
T2 - A time series study
AU - Zhou, Siyu
AU - Ogihara, Atsushi
AU - Nishimura, Shoji
AU - Jin, Qun
N1 - Funding Information:
This work was partially supported by a 2016–2018 Masaru Ibuka Foundation Research Project on Oriental Medicine.
Publisher Copyright:
© 2019 Elsevier GmbH
PY - 2019/4
Y1 - 2019/4
N2 - Introduction: The utilization of information and communications technology (ICT) devices is a new way to record and analyze health data of the elderly. This time-series study aimed to analyze health changes, and the correlation between pulse manifestation and health indicators, in the elderly. Methods: We conducted continuous 93-day monitoring of health data and pulse records in 8 elderly participants. A time series method was used to analyze health changes in participants. The correlation between pulse manifestation and health indicators was analyzed using a structural equation model. Results: During the use of ICT devices, the number of steps taken by the elderly showed a significant increase (p < 0.05). According to the time series prediction formula, the number of steps predicted on day 94 was 8869.8. In practice, steps on day 94 were 8267.3; the difference between these values was within 10%. Personal health information, health habits, and physiological indicators had a direct impact on pulse manifestation; influence coefficients were 0.14, 0.18, and 0.05 respectively. Conclusion: Through the use of ICT devices, we can understand the health status of the elderly and make behavior predictions. Pulse manifestation data can indicate the health status of the elderly. Thus, ICT devices can be used as health management tools and assist doctors in making simple diagnoses.
AB - Introduction: The utilization of information and communications technology (ICT) devices is a new way to record and analyze health data of the elderly. This time-series study aimed to analyze health changes, and the correlation between pulse manifestation and health indicators, in the elderly. Methods: We conducted continuous 93-day monitoring of health data and pulse records in 8 elderly participants. A time series method was used to analyze health changes in participants. The correlation between pulse manifestation and health indicators was analyzed using a structural equation model. Results: During the use of ICT devices, the number of steps taken by the elderly showed a significant increase (p < 0.05). According to the time series prediction formula, the number of steps predicted on day 94 was 8869.8. In practice, steps on day 94 were 8267.3; the difference between these values was within 10%. Personal health information, health habits, and physiological indicators had a direct impact on pulse manifestation; influence coefficients were 0.14, 0.18, and 0.05 respectively. Conclusion: Through the use of ICT devices, we can understand the health status of the elderly and make behavior predictions. Pulse manifestation data can indicate the health status of the elderly. Thus, ICT devices can be used as health management tools and assist doctors in making simple diagnoses.
KW - Elderly
KW - Health
KW - ICT devices
KW - Pulse
KW - Steps
KW - TCM
KW - Wearable device
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U2 - 10.1016/j.eujim.2019.02.010
DO - 10.1016/j.eujim.2019.02.010
M3 - Article
AN - SCOPUS:85063622799
SN - 1876-3820
VL - 27
SP - 105
EP - 113
JO - European Journal of Integrative Medicine
JF - European Journal of Integrative Medicine
ER -