CART Phase 2 Study: Diagnostic Performance of a Ring-type Wearable Device Using Deep Learning Analysis of Photoplethysmographic Signals for Detecting Atrial Fibrillation
CART Phase 2 Study: Diagnostic Performance of a Ring-type Wearable Device Using Deep Learning Analysis of Photoplethysmographic Signals for Detecting Atrial Fibrillation
This study investigates diagnostic performance of a ring-type wearable device for detecting atrial fibrillation. This is a prospective cohort registry study began after the date of IRB approval and until 31th Dec. 2019. The eligible criteria are (1) those who admitted the institution for elective direct-current cardioversion of persistent atrial fibrillation, and (2) aged 19 years or more. The exclusion criteria are (1) those aged less than 19 years, (2) those who are not eligible to perform cardioversion by any reasons. This study aims to recruit 200 participants in total. The participants are required to record photoplethysmographic signals by the ring device in addition to routine procedures of direct-current cardioversion, hence, the study is at minimal risk.
(1) Those with persistent atrial fibrillation (2) Those who admitted the institution for elective direct-current cardioversion (3) Those aged 19 years or more 9. The exclusion criteria:
(1) Those with other forms of cardiac arrhythmias (2) Those aged less than 19 hears (3) Those who are not eligible to perform electrical cardioversion 10. Procedures of the study
Inclusion Criteria:
Exclusion Criteria: