Earticle

초록

영어

This study evaluated the reliability and validity of a context-aware sleep holistic cycle gate algorithm and explored its potential for artificial intel-ligence (AI)-based personalized sleep management in digital health-care. A 6-week prospective observational study was conducted in 25 adults aged 20–65 years. Participants recorded daytime activities, eve-ning behaviors, presleep environmental factors, sleep outcomes, and feedback adherence using a mobile application. Five sleep-related indi-ces were calculated, and a context-aware gate algorithm comprising five domains was applied. Reliability was assessed through internal consistency and reproducibility analyses, while validity was examined using correlations with sleep quality indicators and receiver operating characteristic curve analyses. Data completion and adherence rates were 80.3%±9.8% and 72.7%±11.6%, respectively. The sleep readiness index was positively correlated with subjective sleep quality (r=0.53, P<0.01). The algorithm demonstrated moderate predictive performance (area under the curve=0.73), with the environment and presleep gates showing the highest accuracy. Following personalized feedback, sleep onset latency decreased by 12.6%, and perceived sleep quality im-proved significantly (P<0.05). In conclusions, the context-aware sleep holistic cycle gate algorithm demonstrated acceptable reliability and validity for predicting sleep quality. These findings suggest that the pro-posed framework may serve as a foundational platform for the develop-ment of AI-driven personalized sleep management systems and future digital healthcare applications related to sleep rehabilitation and health promotion.

목차

Abstract
INTRODUCTION
MATERIALS AND METHODS
Study design and participants
Study procedure
Demographic and daily life characteristics
Sleep holistic cycle indices
Sleep pressure index
Sleep readiness index
Sleep environment index
Arousal proneness score
Sleep context transition index
Gate algorithm performance
Sleep outcome variables
Statistical analyses
Ethical approval
RESULTS
Participant characteristics
Distribution and reliability of sleep holistic cycle indices
Associations between sleep holistic cycle indices and sleep outcomes
Classification accuracy of the gate algorithm
Changes following personalized feedback
DISCUSSION
CONFLICT OF INTEREST
ACKNOWLEDGMENTS
REFERENCES

키워드

저자

• Jaehoon Kim [ Korea Sleep Industry Association, Seoul, Korea/Research Institute of Sports and Industry Science, Hanseo University, Seosan, Korea ]
• Prabhat Pathak [ Department of Sports Sciences, Seoul National University of Science and Technology, Seoul, Korea ]
• Hang-Sik Shin [ Department of Biomedical Engineering, College of Medicine, University of Ulsan, Ulsan, Korea ]
• Youngsoo Jin [ Department of Medicine, College of Medicine, University of Ulsan, Ulsan, Korea ]
• Chang-Young Ahn [ Department of Physical Education, Kyung Dong University, Yangju, Korea ]
• Yong-Seok Jee [ Korea Sleep Industry Association, Seoul, Korea/Research Institute of Sports and Industry Science, Hanseo University, Seosan, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JER [Journal of Exercise Rehabilitation]

• 간기

  격월간

• pISSN

  2288-176X

• eISSN

  2288-1778

• 수록기간

  2013~2026

• 등재여부

  SCOPUS,KCI 등재

• 십진분류

  KDC 517 DDC 613