Testing the Performance of Smartphones and Their Accessories in Detecting Irregularly Irregular Heart Rhythm

The purpose of this 4-in-1 observational study is to test the performance of artificial intelligences (AIs) in distinguishing irregularly irregular heart rhythm called atrial fibrillation (AF) from normal heart rhythm using physiological signals collected by smartphones' built-in hardware and/or external accessories. Participants will: * Have their weight, height, resting heart rate and blood pressures measured * Have 12-lead electrocardiogram (ECG) of their heart electrical activities recorded * Have their heart sounds and 1-lead ECG recorded from their chest, and optical-based blood flow data (photoplethysmography or PPG) and 1-lead ECG recorded from their fingers using smartphones' built-in microphone, camera, and/or external accessories * Optionally have their optical-based blood flow data recorded from their face using smartphones' built-in camera (remote PPG or rPPG). The researchers will also create a database containing the physiological signals collected in this study along with the participants' medically relevant information to help train and test future AIs for medical applications.

NCT Number	NCT07154303
Lead Sponsor	The University of Hong Kong Collaborators: Laboratory of Data Discovery for Health
Conditions	Atrial Fibrillation (AF)
Enrollment	209 participants
Start Date	2025-08-27
Primary Completion	2026-08 (estimated)
Study Completion	2026-10 (estimated)
Updated on ClinicalTrials.gov	2025-12-31