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NOT YET RECRUITING
NCT07513584
NA

Dual-track Residential Exercise With AI and Monitoring for Sleep

Sponsor: National Sun Yat-sen University

View on ClinicalTrials.gov

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

Interventions

DEVICE

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).