Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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A Study on the Smart Healthcare health management System

스마트 헬스케어 건강관리 시스템에 관한 연구

  • Han, Jeong-Ah (Department of Information and Communication, Daejeon University) ;
  • Na, Won-Shik (Department of Computer Science, Namseoul University)
  • 한정아 (대전대학교 정보통신공학과) ;
  • 나원식 (남서울대학교 컴퓨터소프트웨어학과)
  • Received : 2020.04.08
  • Accepted : 2020.06.20
  • Published : 2020.06.28
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Abstract

In this paper, we study smart healthcare devices that enable active health care by building health care system with acquaintances or family members rather than single health care. The company develops health care services for families regardless of age and gender through intuitive UI design as a target for young users who serve elderly parents. Automated collection of health information and real-time feedback are available, and data can be aggregated and analyzed through repeaters. It can also utilize structured databases in the form of big data. The services offered can be used to prevent diseases and reduce medical expenses through health care, while automatic management can maximize users' convenience and increase demand. By reducing the development period of products that are based on this technology, reducing the development period of products and strengthening competitiveness, the company has the advantage of inducing generation-to-generation communication in an era when it is becoming a nuclear family.

본 논문에서는 혼자하는 헬스케어가 아닌 지인 또는 가족과 함께하는 헬스케어 시스템을 구축하는 것으로 능동적인 건강관리가 가능한 스마트 헬스케어 기기에 대한 연구한다. 노부모를 모시는 젊은 사용자를 타겟으로 놀이형 건강관리 시스템으로 직관적인 UI 설계를 통해 남녀노소 상관없이 가족단위의 건강관리 서비스 개발한다. 건강정보 자동수집 및 실시간 피드백이 가능하고, 중계기를 통한 데이터 종합 및 분석할 수 있다. 또한 체계화된 데이터베이스를 빅데이터의 형태로 활용할 수 있다. 제시한 서비스를 활용하면 건강관리를 통한 질병예방효과와 의료비에 대한 절감효과를 누릴 수 있고, 자동관리로 사용자의 편의 극대화와 수요 증가 효과를 기대할 수 있다. 이를 기반하는 기술을 응용한 제품의 개발기간 단축 및 저가격화와 경쟁력 강화를 통해 핵가족화되어 가는 시대에 세대간의 소통을 이끌어 낼 수 있다는 장점을 가진다.

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References

  1. J. Han & L. Seo. (2015). Study on the context awareness that the order search system in a distributed computing environment. Indian Journal of Science and Technology. 8(13), 1.
  2. M, Prakash, U, Gowshika & T. Ravichandran. (2016). A smart device integrated with an Android for alerting a person's health condition: Internet of Things. Indian Journal of Science and Technology, 9(6), 1-6.
  3. F Raquel & C. Adriano. (2017). Development of Android-Mobile Application Software in Teaching Web System and Technologies. International Journal of Emerging Multidisciplinary Research, 1(1), 53-61. DOI : 10.22662/IJEMR.2017.1.1.053
  4. H. Y. Moon. (2012). Macrophage migration inhibitory factor mediates the antidepressant actions of voluntary exercise. Proceedings of the National Academy of Sciences, 109(32), 13094-13099. DOI : 10.1073/pnas.1205535109
  5. G. Weiss. (2000). A modern approach to distributed artificial intelligence. IEEE transactions on systems man & cybernetics-part c applications & reviews, 22(2).
  6. S. Hong. 2017. Development of a Secure and Intelligent IoT System based on a Consortium Blockchain. International Journal of Emerging Multidisciplinary Research, 1(2), 9-14. DOI : 10.22662/IJEMR.2017.1.2.009
  7. A. A. Mir. (2014). Effects of Pre-Purchase Search Motivation on User Attitudes Toward Online Social Network Advertising: A Case of University Students. Journal of Competitiveness, 6(2).
  8. F. M. Bass. (1969). A New Product Growth for Model Consumer Durables. Management Science, 15(5), 215-227. DOI :10.1287/mnsc.15.5.215
  9. Y. Jia & W. Qu. (2010). Real-time integrated multi-object detection and tracking in video sequences using detection and mean shift based particle filters. In 2010 IEEE 2nd Symposium on Web Society (pp. 738-743). IEEE.
  10. J. G. Lim, K,Y. Lee & K.P. Sim. (2012). A Method of Determining Whether a Smart-Phone is Moving. Journal of Korea Multimedia Society, 15(5), 632-638. DOI : 10.9717/kmms.2012.15.5.632