Finding studies
Finding studies
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Lead
Peking University Third Hospital
To establish a prospective cardiopulmonary exercise and active health cohort based on wearable devices, systematically integrate continuous dynamic physiological and behavioral data as well as standardized clinical outcome information, and evaluate the application value of wearable-device-derived metrics in dynamic cardiovascular risk assessment and exercise-related risk identification. Specific objectives are as follows: 1. To verify the agreement between wearable-device-estimated VO₂max and CPET measurements. 2. To assess the association between continuously monitored wearable metrics and Major Adverse Cardiovascular Events (MACE), and develop a long-term risk prediction model. 3. To evaluate the relationship between short-term physiological change features during exercise or physical activity and exercise-related cardiovascular events, and explore methods for dynamic identification of exercise risk. 4. To assess the association between health prompts delivered via wearable feedback and individual behavioral and risk changes, and explore the feasibility of active health management.
Age
18–80
Sex
ALL
Healthy volunteers
Accepted
