March 21, 2018Open Access
Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch
Structured PICO
Can smartwatch photoplethysmography coupled with a deep neural network passively detect atrial fibrillation compared to a criterion-standard ECG?
I
Intervention
Smartwatch photoplethysmography coupled with a deep neural network
C
Comparator
Criterion-standard ECG
O
Outcome
Detection of atrial fibrillation (sensitivity and specificity)surrogate
Smartwatch photoplethysmography using a deep neural network is capable of passively detecting atrial fibrillation, albeit with lower accuracy than standard ECG.
Abstract
This proof-of-concept study found that smartwatch photoplethysmography coupled with a deep neural network can passively detect AF but with some loss of sensitivity and specificity against a criterion-standard ECG. Further studies will help identify the optimal role for smartwatch-guided rhythm assessment.