Evaluate the Accuracy of a COPD Screening Algorithm Model

Other illness

• Diagnosed with chronic respiratory diseases other than COPD, such as asthma, lung cancer, active tuberculosis, bronchiectasis and diffuse lung diseases (interstitial pneumonia, occupational lung disease, sarcoidosis, etc.).
• lobectomy and/or lung transplantation, pleural disease.
• Dual upper limb pigmentation or abnormal blood supply (occlusion, thrombosis, trauma, etc.).

Lab values

• Complicated with serious underlying diseases, including severe mental illness, intellectually impaired diseases, neurological disease (resulting in limb movement disorder), malignant tumor (PS score \> 2), chronic liver disease (transaminase \> 3 times the upper limit of normal), heart failure (NYHA\> Grade 3), autoimmune disease, chronic kidney disease (CKD-5), unstable coronary artery disease, arrhythmia (atrial fibrillation, atrial flutter, severe ventricular arrhythmia), congenital heart disease, pulmonary hypertension, etc., or life expectancy of less than 6 months.

Other

• Malnutrition (BMI\<18 kg/m2).
• Bilateral wrist and hand edema, wrist soft tissue injury, inability to wear a watch/bracelet due to incomplete skin.

• Over the age of 18, no gender restrictions.
• Participants at high risk of COPD (COPD-PS score ≥5).
• Able to carry out daily activities and wear wearable devices.
• Willing to participate in the study, willing to comply with the study protocol, and have the ability to sign informed consent.
• Possess mobile communication equipment, which can meet the requirement of installing wearable device applications and recording function.