The existing home glucose meters have enabled patients to conduct the self-management of diabetes mellitus by displaying their blood glucose value. However, obtaining a more accurate risk level of diabetes mellitus requires consideration not only of the patient’s blood pressure and obesity, but also their first-degree relatives with diabetes. Therefore, in this study, we designed and suggested an intelligent sensor algorithm in order to analyze the risk level of diabetes for IoT-based u-health services. This algorithm is expected to enhance the effectiveness of the patient’s self-management provided that it functions effectively in a virtual sensor for diabetes. Finally, based on the findings of the experiment, its effectiveness was confirmed in the proposed model.
목차
Abstract 1. Introduction 2. Related Research 2.1. Criteria for Type 2 Diabetes 2.2. Virtual Sensor Concept 2.3. Internet of Things 3. Virtual Sensor for Diabetes 3.1. Healthcare Service Model Using the Virtual Sensor for Diabetes 3.2. Network Application Protocol between Virtual Sensor and Physical Sensor 3.3. Algorithm for Virtual Diabetes Sensor 4. Evaluation 5. Conclusion Acknowledgement References
키워드
Virtual Sensoru-HeahthDiabetesInternet of ThingsIntelligent Algorithm
저자
Byung Mun Lee [ Dept. of Computer Engineering, Gachon University, Korea, ]
Corresponding Author
Un Gu Kang [ Dept. of Computer Engineering, Gachon University, Korea ]
보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Bio-Science and Bio-Technology
간기
격월간
pISSN
2233-7849
수록기간
2009~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology Vol.6 No.6