Wang, L.; Mu, Y.; Zhao, J.; Wang, X.; Che, H.
IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms. Sensors 2020, 20, 2556.
https://doi.org/10.3390/s20092556
AMA Style
Wang L, Mu Y, Zhao J, Wang X, Che H.
IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms. Sensors. 2020; 20(9):2556.
https://doi.org/10.3390/s20092556
Chicago/Turabian Style
Wang, Liyang, Yao Mu, Jing Zhao, Xiaoya Wang, and Huilian Che.
2020. "IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms" Sensors 20, no. 9: 2556.
https://doi.org/10.3390/s20092556
APA Style
Wang, L., Mu, Y., Zhao, J., Wang, X., & Che, H.
(2020). IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms. Sensors, 20(9), 2556.
https://doi.org/10.3390/s20092556