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Predicting the Risk of Depression and Heart Disease Based on Natural Healing

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 14 Number 4 (2025.12)바로가기
  • 페이지
    pp.576-582
  • 저자
    You Sik Hong, Chang Pyoung Han
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A481225

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
According to recent research results, it has been found that depression treatment helps improve the prognosis of heart disease. This means that depression can negatively affect the recovery process of heart disease patients. In other words, the stress of heart disease patients stimulates sympathetic nerves and increases blood pressure and heart rate, which can worsen heart disease, so appropriate management is essential. In particular, since heart disease and depression are correlated adversely with each other, it is very important to steadily manage both mental and physical health. A recent study result has been published that, if there is depression, the risk of cardiovascular disease may be high, so it is better to receive a heart health check. In this paper, to solve this problem, we performed stress self-diagnosis and HTP psychological tests, proposed algorithms and computer simulations that performed optimal music therapy and art therapy techniques and kidney disease risk prediction for the patient's own stress and constitution conditions.

목차

Abstract
1. Introduction
2. Depression self-diagnosis theory
3. The Theory of Color Therapy and Music Therapy
4. Computer simulation
5. Conclusion
References

키워드

Art therapy Music therapy Lighting therapy HTP TEST

저자

  • You Sik Hong [ Department of Information &Communication Engineering Sang Ji University ]
  • Chang Pyoung Han [ Department of Electrical & Electronics Engineering Sang Ji University ] 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 14 Number 4

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