Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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The Design and Implement a Healthcare Alert App to Prevent Dementia

치매예방을 위한 헬스케어 알리미 앱 설계 및 구현

  • Pi, SU-Young (Dept. of Institute of Liberal Education, Catholic University of Daegu)
  • 피수영 (대구가톨릭대학교 교양교육원)
  • Received : 2018.08.06
  • Accepted : 2018.10.20
  • Published : 2018.10.28
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Abstract

There are not that many m-health related services limited to the elderly. Many of the elderly who are at risk of dementia are unfamiliar to smart devices, so it is required to design an user-customized App. Therefore, I design and embody a mobile voice alert integrated app, which enables voice input to increase the accessibility of the elderly, so as to prevent diseases caused by declined cognitive function such as dementia. I conducted interviews and questionnaire after having the students use the app in Lifelong Education Center in H region of Gyeongbuk, and the analysis result has showed the high satisfaction. It is expected that it will be able to play a key role for M-Health service for the elderly since it is possible to prevent dementia through the voice health care alert app. I would like to learn deep learning in the future to predict the life patterns and the possibility of dementia of the elderly.

고령자들에 국한된 M-Health 관련 서비스는 많지 않다. 치매발병 위험성이 있는 고령자의 다수가 스마트 기기에 익숙하지 않은 것이 현실이므로 직관적으로 사용하기 쉽고 터치버튼의 크기를 최대화한 사용자 맞춤형 앱설계가 요구된다. 따라서 본 연구에서는 고령자들의 접근성을 높이고자 음성입력이 가능한 모바일 음성알리미 통합앱을 설계, 구현하여 치매 등 인지기능 저하에 따른 질병을 예방하고자 한다. 경북 H지역의 평생교육원 수강생들에게 앱을 배포 후 개별 인터뷰와 설문검사를 실시 후 분석한 결과 만족도가 높게 나타났다. 음성 헬스케어 알리미 앱을 통해 치매예방을 할 수 있어서 고령자들의 M-Health 서비스를 위한 핵심적인 역할을 수행할 수 있을 것으로 기대된다. 향후 웹 DB에 저장된 자료를 딥러닝을 통해 학습하여 고령자들의 생활패턴과 치매가능성 여부를 예측하고자 한다.

Keywords

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