UB-IOT Modeling for Pattern Analysis of the Real-Time Biological Data


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 2, pp. 95-106, Feb. 2016
10.3745/KTSDE.2016.5.2.95,   PDF Download:

Abstract

Biometric data may appear different depending on the person and sasang Medicine has a close relationship with the Department. Biometric data not only mean a human heart rate, a blood pressure, a heart rate, and the past medical history, degree of aging, body mass index, but also is used as a reference measure for determining the state of health of the person. So biometric data should be reproduced for the application purposes, depending on their applications. In previous studies, because the biometric data is changed in real time and applies only to snap shut at the time of the continuity of the current time is excluded. Therefore, in this study in order to solve this problem, we propose a biometric data patton analysis model comprising a continuity of time in the big data environment consisting of biometric data. The proposed model can help determine the choice of needle position carefully when using the electronic acupuncture for care and health promotion.


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Cite this article
[IEEE Style]
Y. H. Shin, Y. H. Shin, H. W. Park, K. H. Ryu, "UB-IOT Modeling for Pattern Analysis of the Real-Time Biological Data," KIPS Transactions on Software and Data Engineering, vol. 5, no. 2, pp. 95-106, 2016. DOI: 10.3745/KTSDE.2016.5.2.95.

[ACM Style]
Yoon Hwan Shin, Ye Ho Shin, Hyun Woo Park, and Keun Ho Ryu. 2016. UB-IOT Modeling for Pattern Analysis of the Real-Time Biological Data. KIPS Transactions on Software and Data Engineering, 5, 2, (2016), 95-106. DOI: 10.3745/KTSDE.2016.5.2.95.