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