DOI QR코드

DOI QR Code

Bio-vector Generation Framework for Smart Healthcare

  • Shin, Yoon-Hwan (Technology Commercialization Advisory Committee member for Technical Support Division of KIAT, Korea Institute for Advancement of Technology)
  • Received : 2016.01.20
  • Accepted : 2016.01.28
  • Published : 2016.01.30

Abstract

In this paper, by managing the biometric data is changed with the passage of time, a systematic and scientifically propose a framework to increase the bio-vector generation efficiency of the smart health care. Increasing the development of human life as a medicine and has emerged smart health care according to this. Organic and efficient health management becomes possible to generate a vector when the biological domain to the wireless communication infrastructure based on the measurement of the health status and to take action in accordance with the change of the physical condition. In this paper, we propose a framework to create a bio-vector that contains information about the current state of health of the person. In the proposed framework, Bio vectors may be generated by collecting the biometric data such as blood pressure, pulse, body weight. Biometric data is the raw data from the bio-vector. The scope of the primary data can be set to active. As the collecting biometric data from multiple items of the bio-recognition vectors may increase. The resulting bio-vector is used as a measure to determine the current health of the person. Bio-vector generating the proposed framework, it can aid in the efficiency and systemic health of healthcare for the individual.

Keywords

References

  1. Sasang Constitutional Medicine [online], Available:www.esasang.or.kr
  2. Geum Yu, Joonwoo Park, "Types of Studies on Smart media contents for Ubiquitous Health service", Journal of Korea Design Knowledge, Vol.28, pp.195-202, December 2013.
  3. Gwan-Hyung Kim, "Ubiquitous Health Care Smart System base on Bluetooth", Journal of Korea Institute of Information and Communication Engineering, Vol.16, No.6, June 2012.
  4. Hyeon Cheol Choi, "An Application of Sasangchejil(A Theory of Four Different Types of Persons) to the Study of Patterns of Media Use", Journal of communication research, v.47, no.1, pp.170-203, February 2010. https://doi.org/10.22174/jcr.2010.47.1.170
  5. Seung-Man Chun, Joo-Yeon Choi, and Jong-Tae Park, "An Emergency Management Architecture Using Personalized Emergency Policy for Smart Healthcare", Journal of The Institute of Electronics Engineers of Korea Vol. 50, NO. 11, Novermber 2013.
  6. Yoon Hwan Shin, "Pattern Analysis of Biometric Data for the Needle Points Selection in Big Data Environments", PhD thesis, Chungbuk National University, August 2014.
  7. Kwanho Kim, Jae-Yoon Jung, "A Typology of Industry Convergences Based on Sources for Convergence Industries and Analysis of Critical Success Factors", Journal of the Korean Institute of Industrial Engineers, Vol. 39, No. 3, pp. 204-211, June 2013. https://doi.org/10.7232/JKIIE.2013.39.3.204
  8. Jung-Hee Seo, Hung-Bog Park, "Data Acquisition and Monitoring Technique based on Dynamic Application Framewor", Journal of The Korea Society of Computer and Information, Vol.20, No.2, pp.71-77, February 2015. https://doi.org/10.9708/jksci.2015.20.2.071
  9. Kim Young Hee, Lee Keum Suk, "A Framework for Quality Dimensions Measurement of Context Information", Journal of the Korea society of computer and information, Vol.11, No.6, pp.201-210, December 2006.