Clinical trials

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.