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.
Detailed medical history taken, with no symptoms of discomfort reported
Good physical condition, with no history of severe chronic diseases
No history of long - term medication use
Willing to undergo cardiopulmonary exercise testing, with no ST - T segment changes observed during the test
Pre - test resting blood pressure ≥160/100 mmHg (1 mmHg=0.133 kPa)
Chronic cardiovascular diseases, such as heart failure, coronary atherosclerotic heart disease, hypertension, congenital heart disease, cardiomyopathy, and severe arrhythmias
Respiratory diseases, such as chronic obstructive pulmonary disease, asthma, pulmonary artery hypertension, bronchiectasis, and respiratory failure
Digestive system diseases, such as peptic ulcer, gastrointestinal bleeding, hepatitis, liver cirrhosis, ulcerative colitis, Crohn's disease, chronic pancreatitis, and chronic cholecystitis
Healthy individuals aged 18 - 65.
Cohort
Cross-sectional
cardiopulmonary exercise testing (CPET)
Other interventionIn this study, the cardiopulmonary exercise testing (CPET) system used breath-by-breath continuous analysis for gas exchange and ventilation variables. The protocol included spirometry with an 8-breath data collection method. The cycle ergometer workload ranged from 10 to 40 W/min using a RAMP protocol. The standard CPET protocol comprised a 3-min rest, 3-min warm-up, 8 - 12 min incremental exercise phase, and 3-min each of active and passive recovery.
Peak Oxygen Uptake
When measuring the peak oxygen uptake of healthy people with a cycle ergometer, first ensure participants are healthy and have signed consent forms. Prepare the cycle ergometer and other equipment, adjusting them to a suitable position. After a 3 - minute warm - up, start the incremental loading test, which lasts 8 - 12 minutes, until termination criteria are met. Record the data, calculate the peak oxygen uptake, and assess the cardiopulmonary function.
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