Why the study?
Does a convolutional-recurrent neural network accurately detect atrial fibrillation from raw wearable PPG data in patients undergoing cardioversion and healthy volunteers?
Does a convolutional-recurrent neural network accurately detect atrial fibrillation from raw wearable PPG data in patients undergoing cardioversion and healthy volunteers?
An end-to-end deep learning model using raw PPG data from a wearable device can detect atrial fibrillation with near-perfect accuracy in controlled settings, potentially enabling large-scale screening.
No takes yet. Share an insight, caveat, or question.
Supports wearable PPG AF detection development; leaves open prospective validation in unselected populations.
Gotlibovych et al. (2018) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: