Herraiz, Á.H.; Martínez-Rodrigo, A.; Bertomeu-González, V.; Quesada, A.; Rieta, J.J.; Alcaraz, R.
A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices. Entropy 2020, 22, 733.
https://doi.org/10.3390/e22070733
AMA Style
Herraiz ÁH, Martínez-Rodrigo A, Bertomeu-González V, Quesada A, Rieta JJ, Alcaraz R.
A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices. Entropy. 2020; 22(7):733.
https://doi.org/10.3390/e22070733
Chicago/Turabian Style
Herraiz, Álvaro Huerta, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Aurelio Quesada, José J. Rieta, and Raúl Alcaraz.
2020. "A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices" Entropy 22, no. 7: 733.
https://doi.org/10.3390/e22070733
APA Style
Herraiz, Á. H., Martínez-Rodrigo, A., Bertomeu-González, V., Quesada, A., Rieta, J. J., & Alcaraz, R.
(2020). A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices. Entropy, 22(7), 733.
https://doi.org/10.3390/e22070733