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Proposed ICT-based New Normal Smart Care System Model to Close Health Gap for Older the Elderly

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재 바로가기
  • 통권
    Volume 10 Number 2 (2021.06)바로가기
  • 페이지
    pp.37-44
  • 저자
    Chae-Hyun YOO, Seung-Jung SHIN
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A397183

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원문정보

초록

영어
At the time of entering the super-aged society, the health problem of the elderly is becoming more prominent due to the rapid digital era caused by COVID-19, but the gap between welfare budgets and welfare benefits according to regional characteristics is still not narrowed and there is a significant difference in emergency medical access. In response, this study proposes an ICT-based New Normal Smart Care System (NNSCS) to bridge the gap I n health and medical problems. This is an integrated system model that links the elderly themselves to health care, self-diagnosis, disease prediction and prevention, and emergency medical services. The purpose is to apply location-based technology and motion recognition technology under smartphones and smartwatches (wearable) environments to detect health care and risks, predict and diagnose diseases using health and medical big data, and minimize treatment latency. Through the New Normal Smart Care System (NNSCS), which links health care, prevention, and rapid emergency treatment with easy and simple access to health care for the elderly, it aims to minimize health gaps and solve health problems for the elderly.

목차

Abstract
1. Introduction
2. Technology Trends in Smart Care
2.1 Definition and Scope of Technology
2.2 Technology and Industry Trends
3. Related Technology Research
3.1 Location-Based Services (LBS) related technologies LBS
3.2. IMU (Inertial Measurement Sensor)
4. NNSCS Model Study
4.1. NNSCS(New Normal Smart Care System)
4.2 Structural Model of the NNSCS
5. Conclusion
References

저자

  • Chae-Hyun YOO [ Doctor Candidate, Department of IT Convergence, Hansei University, Korea ]
  • Seung-Jung SHIN [ Professor, Department of ICT, Hansei University, Korea ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 10 Number 2

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