APA (7th ed.) Citation

S, K., J, H., EK, C., E, L., DE, H., WJ, K., . . . Y, Y. (2019). Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study. JMIR mHealth and uHealth, 7(6), e12770. https://doi.org/10.2196/12770

Chicago Style (17th ed.) Citation

S, Kwon, et al. "Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study." JMIR MHealth and UHealth 7, no. 6 (2019): e12770. https://doi.org/10.2196/12770.

MLA (9th ed.) Citation

S, Kwon, et al. "Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study." JMIR MHealth and UHealth, vol. 7, no. 6, 2019, p. e12770, https://doi.org/10.2196/12770.