Smartphone-Based Use of Phonocardiography, Electrocardiography Accessory, and/or Facial Photoplethysmography to Detect Atrial Fibrillation: Diagnostic Performance Study
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:
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.
4 observational studies have been combined into 1 observational study to share the same pool of participants. These 4 studies are designated as AUSC-AF, ECG-AF, AUSC+ECG-AF, and rPPG-AF corresponding to the signal modality/modalities used for AF detection (see outcome measures) and designated as AUSC/ECG/rPPG-AF when combined as 1 study.
Inclusion Criteria:
Exclusion Criteria:
Any of the following: