문화기술의 융합 (The Journal of the Convergence on Culture Technology)

  • 제8권2호
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  • Pages.1-6
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  • 2022
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  • 2384-0358(pISSN)
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  • 2384-0366(eISSN)
국제문화기술진흥원 (The International Promotion Agency of Culture Technology)
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헬스케어에서 인공지능을 활용한 라이프로그 분석과 미래

Lifelog Analysis and Future using Artificial Intelligence in Healthcare

  • 투고 : 2021.10.13
  • 심사 : 2022.03.08
  • 발행 : 2022.03.31
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초록

라이프로그는 다양한 디지털 센서로부터 수집되는 개인의 디지털 기록으로, 활동량, 수면 정보, 체중 변화, 체질량, 근육량, 지방량 등이 포함된다. 최근, 웨어러블 디바이스가 보편화되면서 양질의 라이프로그 데이터가 많이 생산되고 있다. 라이프로그 데이터는 개인의 신체의 상태를 보여주는 데이터로, 개개인의 건강관리 뿐만 아니라, 질병의 원인 및 치료에도 활용될 수 있다. 그러나, 현재는, AI/ML 기반의 상관관계 분석 및 개인화를 반영하지 못하고 있다. 단순 기록이나 단편적인 통계치를 제시하는 수준에 그치고 있다. 이에 본 논문에서는, 라이프로그 데이터와 질병과의 연관성 및 AI/ML 기술의 라이프로그 데이터의 적용 사례를 살펴보고, 더 나아가, AI/ML을 활용한 라이프로그 데이터 분석 프로세스를 제안하고, 실제 갤럭시워치에서 수집된 데이터를 사용하여, 분석 프로세스를 실증한다. 더불어, 미래의 헬스케어 서비스인, 라이프로그 데이터와 식단, 건강정보, 질병정보와의 융복합 서비스 로드맵을 제안한다.

Lifelog is a digital record of an individual collected from various digital sensors, and includes activity amount, sleep information, weight change, body mass, muscle mass, fat mass, etc. Recently, as wearable devices have become common, a lot of high-quality lifelog data is being produced. Lifelog data shows the state of an individual's body, and can be used not only for individual health care, but also for causes and treatment of diseases. However, at present, AI/ML-based correlation analysis and personalization are not reflected. It is only at the level of presenting simple records or fragmentary statistics. Therefore, in this paper, the correlation/relationship between lifelog data and disease, and AI/ML technology inside lifelog data are examined, and furthermore, a lifelog data analysis process based on AI/ML is proposed. The analysis process is demonstrated with the data collected in the actual Galaxy Watch. Finally, we propose a future convergence service roadmap including lifelog data, diet, health information, and disease information.

키워드

과제정보

이 논문은 서울여자대학교 교내연구비의 지원을 받았음(2022-0107).

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