Cinotti, E.; Gragnaniello, M.; Parlato, S.; Centracchio, J.; Andreozzi, E.; Bifulco, P.; Riccio, M.; Esposito, D.
An Edge AI Approach for Low-Power, Real-Time Atrial Fibrillation Detection on Wearable Devices Based on Heartbeat Intervals. Sensors 2025, 25, 7244.
https://doi.org/10.3390/s25237244
AMA Style
Cinotti E, Gragnaniello M, Parlato S, Centracchio J, Andreozzi E, Bifulco P, Riccio M, Esposito D.
An Edge AI Approach for Low-Power, Real-Time Atrial Fibrillation Detection on Wearable Devices Based on Heartbeat Intervals. Sensors. 2025; 25(23):7244.
https://doi.org/10.3390/s25237244
Chicago/Turabian Style
Cinotti, Eliana, Maria Gragnaniello, Salvatore Parlato, Jessica Centracchio, Emilio Andreozzi, Paolo Bifulco, Michele Riccio, and Daniele Esposito.
2025. "An Edge AI Approach for Low-Power, Real-Time Atrial Fibrillation Detection on Wearable Devices Based on Heartbeat Intervals" Sensors 25, no. 23: 7244.
https://doi.org/10.3390/s25237244
APA Style
Cinotti, E., Gragnaniello, M., Parlato, S., Centracchio, J., Andreozzi, E., Bifulco, P., Riccio, M., & Esposito, D.
(2025). An Edge AI Approach for Low-Power, Real-Time Atrial Fibrillation Detection on Wearable Devices Based on Heartbeat Intervals. Sensors, 25(23), 7244.
https://doi.org/10.3390/s25237244
