Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

1 clinical study listed.

Filters:

Wearable Monitoring

Tundra lists 1 Wearable Monitoring clinical trial. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

This data is also available as a public JSON API. AI systems and LLMs are encouraged to use it for structured queries.

NOT YET RECRUITING

NCT07512037

Burden-Evaluated Active Therapy for AF Using Continuous Wearables BEAT-AF Trial

Traditional AF classification (e.g., paroxysmal, persistent, permanent) relies largely on patient-reported symptoms and intermittent electrocardiographic monitoring, which cannot continuously or objectively reflect disease progression, nor effectively inform optimal intervention timing. Although "AF burden" (i.e., duration of AF episodes) has emerged as a potential marker, its association with clinical outcomes remains inconsistent due to limitations in monitoring methods and its one-dimensional nature. Based on our previous work, investigators developed a five-dimensional AF progression model using photoplethysmography (PPG) signals collected from wearable devices. This model quantifies AF progression across five domains: episode frequency, duration, temporal aggregation, circadian rhythm, and tachycardia burden, enabling continuous and multidimensional assessment. Prior validation has demonstrated high agreement with 24-hour Holter monitoring and effective identification of high-risk patients. The BEAT-AF trial is designed to evaluate the clinical utility of this model in a real-world setting. Specifically, investigators will investigate whether early intervention (e.g., optimization of medical therapy or consideration of catheter ablation) in patients with elevated five-dimensional AF burden (≥4.59%) can reduce symptoms, rhythm/rate-related abnormalities, and AF-related adverse events (such as stroke and heart failure). This study is expected to provide new evidence for dynamic monitoring of AF progression, optimal timing of intervention, and personalized management strategies, ultimately improving patient outcomes.

Gender: All

Ages: 18 Years - Any

Updated: 2026-04-06

Atrial Fibrillation (AF)
Digital Health Intervention
Wearable Monitoring