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Design of Remote Early Dementia Diagnosis Systems

원격 치매 조기 진단 시스템 설계

  • Choi, Jongmyung (Department of Computer Engineering, Mokpo National University) ;
  • Jeon, Gyeong-Suk (Department of Nursing, Mokpo National University) ;
  • Kim, Sunkyung (Department of Nursing, Mokpo National University) ;
  • Choi, Jungmin (Department of Social Welfare, Mokpo National University) ;
  • Rhyu, Dong Young (Department. of Nutraceutical Resources, Mokpo National University) ;
  • Yoon, Sook (Department of Computer Engineering, Mokpo National University)
  • 최종명 (목포대학교 컴퓨터공학과) ;
  • 전경숙 (목포대학교 간호학과) ;
  • 김선경 (목포대학교 간호학과) ;
  • 최정민 (목포대학교 사회복지학과) ;
  • 류동영 (목포대학교 식의약자원학과) ;
  • 윤숙 (목포대학교 컴퓨터공학과)
  • Received : 2020.08.27
  • Accepted : 2020.10.14
  • Published : 2020.12.31

Abstract

Along with the aging of the population, the number of dementia patients is increasing, and the social and economic burden is also increasing. Currently, the effective way to manage dementia patients is to identify patients with dementia early. However, in rural and island areas where medical staff are scarce, there is a problem that it is difficult to visit a hospital and get an early examination. Therefore, we propose a remote early detection system for dementia to solve the problems. The remote dementia early diagnosis system is a system that allows a patient to receive examination and treatment from a remote dementia expert using remote medical technology based on real-time image communication. The remote early diagnosis system for dementia consists of a local client system used by medical staff at health centers in the island, an image server that transmits, stores and manages images, and an expert client used by remote dementia experts. The local client subsystem satisfies the current medical law's remote collaboration by allowing the patient to use it with the health center's medical staff. In addition, expert clients are used by dementia experts, and can store/manage patient information, analyze patient history information, and predict the degree of dementia progression in the future.

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