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This project intends to conduct a large-sample, prospective, multicenter clinical cohort study in healthy populations. By utilizing a digital cardiopulmonary rehabilitation clinical data research platform, The investigators aim to achieve automated, standardized, and uniform collection, analysis, and AI modeling of large-scale cardiopulmonary exercise testing (CPET) data. The ultimate goals are:
To establish reference standards for cardiopulmonary exercise capacity in the Chinese healthy population.
To develop machine learning-based predictive models for key CPET variables (e.g., peak VO₂) tailored to Chinese demographics.
To compare performance differences between domestically produced and imported CPET devices.
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4,620 participants in 1 patient group
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Head of Cardiac Rehabilitation Department
Data sourced from clinicaltrials.gov
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