KIPS Transactions on Software and Data Engineering (정보처리학회논문지:소프트웨어 및 데이터공학)

Korea Information Processing Society (한국정보처리학회)
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UB-IOT Modeling for Pattern Analysis of the Real-Time Biological Data

실시간 생체 데이터의 패턴분석을 위한 UB-IOT 모델링

  • 신윤환 (한국산업기술진흥원 기술사업화자문단 기술지원분과) ;
  • 신예호 (극동대학교 유비쿼터스IT학과) ;
  • 박현우 (충북대학교 전자정보대학원) ;
  • 류근호 (충북대학교 전자정보대학)
  • Received : 2015.10.02
  • Accepted : 2016.01.06
  • Published : 2016.02.29
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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.

생체 데이터는 사람에 따라 다르게 나타날 수 있고 사상의학과 밀접한 관계를 가지고 있다. 생체 데이터는 사람의 맥박과 혈압, 심박동 수와 과거의 병력, 노화의 정도, 체질량 지수 등을 의미하며, 이 생체 데이터는 사람의 건강상태를 판별하기 위한 기준 척도로 활용된다. 그렇기 때문에 생체 데이터는 사용하고자 하는 목적에 맞도록 가공되어야 한다. 기존 연구에서는 실시간으로 변화되고 있는 생체 데이터를 현재 시점의 스냅셧으로만 적용하고 있기 때문에 시간의 연속성이 배제되어 있다. 따라서 이 문제를 해결하기 위하여 본 논문에서는 생체 데이터들로 구성되는 Big Data 환경에서 시간의 연속성을 포함하는 생체데이터의 패턴분석 모델을 제안한다. 제안 모델은 치료와 건강증진을 위해 전자침을 사용할 때 침자리의 선정을 신중하게 결정하는데 도움을 줄 수 있다.

Keywords

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