Evaluate the Accuracy of a COPD Screening Algorithm Model

The investigators have established an algorithm that can detect COPD from physiological parameters, coughing sounds, and forceful expiratory sounds collected by wearable devices. This study will test the accuracy of this algorithm. In this study, 404 residents at high risk of COPD (COPD-PS score≥5) will be enrolled. Questionnaires related to COPD will be collected, subjects will undergo pulmonary function tests and electrocardiogram. Physiological parameters such as oxygen saturation and heart rate will be collected by a wearable device 3 times for 2 minutes each time, and coughing sound will be collected. As spirometry is the gold standard for the diagnosis of COPD, the accuracy of COPD diagnosis algorithm model by intelligent terminal devices will be verified. The study protocol has been approved by the Peking University First Hospital Institutional Review Board (IRB) (2022-083). Any protocol modifications will be submitted for the IRB review and approval.