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Dual-track Residential Exercise With AI and Monitoring for Sleep
Sponsor: National Sun Yat-sen University
Summary
As societies rapidly transition toward aging demographics, sleep issues among community-dwelling older adults have emerged as a critical concern affecting healthy aging and independent living. Current single-track exercise intervention models are often difficult to implement due to suboptimal adherence. Therefore, this study aims to utilize artificial intelligence technology combined with a dual-track residential exercise mode to improve sleep quality, thereby enhancing the self-care and independent living abilities of the elderly
Official title: Dual-track Residential Exercise With AI and Monitoring for Sleep in Older Adults With Chronic Insomnia (DREAMS Study)
Key Details
Gender
All
Age Range
60 Years - Any
Study Type
INTERVENTIONAL
Enrollment
60
Start Date
2026-08-01
Completion Date
2027-07-31
Last Updated
2026-04-07
Healthy Volunteers
No
Conditions
Interventions
Fit Mirror-Guided Home-Based Exercise Program
The DREAMS Study evaluates an AI-driven, home-based, dual-track exercise intervention for community-dwelling older adults (≥ 60) with chronic insomnia. Integrating FitMirror skeletal recognition for real-time guidance and ActiGraph wearable monitoring for continuous data collection, the system creates a closed-loop feedback mechanism to optimize sleep health. The intervention is tailored to insomnia phenotypes: daytime HIIT or resistance training is prescribed to enhance sleep drive (targeting sleep-onset difficulties), while nighttime yoga or Pilates targets reduced hyperarousal (targeting sleep-maintenance difficulties). Using a quasi-experimental design, the study measures improvements in multi-dimensional sleep health and functional fitness at baseline, post-intervention (12 weeks), and follow-up (24 weeks).