Testing smartphone tools to detect irregular heart rhythm
Tests smartphone heart signals and computer programs to detect atrial fibrillation in adults.
Plain-language title generated from the registry record
Registry title: Testing the Performance of Smartphones and Their Accessories in Detecting Irregularly Irregular Heart Rhythm
Key facts
- Where
- Hong Kong, ChinaSee the site
Where in China
- Queen Mary HospitalHong Kong, ChinaNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- The University of Hong Kong
- Trial code
- NCT07154303
- Record updated
- 31 December 2025
- Original description
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.Read full original descriptionShow less
Smartphone-Based Use of Phonocardiography, Electrocardiography Accessory, and/or Facial Photoplethysmography to Detect Atrial Fibrillation: Diagnostic Performance Study
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.
Inclusion: Age: ≥22 years (adult); Patients who have one of the following:; Permanent atrial fibrillation, or; Long-standing persistent atrial fibrillation (12 months or longer), or; Confirmed 12-lead ECG diagnosis for persistent atrial fibrillation (> 7 days) or sinus rhythm within 12 months at the time of their normal attendance at the hospital.
Exclusion: Patients without atrial fibrillation who have another arrhythmia; Any of the following:; Implanted active medical devices in the torso, such as pacemakers and defibrillators; Completely missing one or more limbs, or missing any hand; Disability in using their hands or arms; Lack of both index fingers, or all fingers in any hand; Both index fingers with any of the following characteristics:; Tattooed/inked; Reduced blood flow in the fingertip (e.g. perniosis or callus formation).