A novel data augmentation method to enhance deep neural networks for detection of atrial fibrillation. - Ping Cao 002; Xinyi Li; Kedong Mao; Fei Lu 020; Gangmin Ning; Luping Fang; Qing Pan (Biomed. Signal Process. Control., 2020)

Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network. - Lingwei Zhang; Kedong Mao; Kailiang Duan; Siqi Fang; Yunfei Lu; Qiang Gong; Fei Lu 020; Ye Jiang; Liuqing Jiang; Wenyao Fang; Xiaolin Zhou; Jimei Wang; et al. (Comput. Biol. Medicine, 2020)

Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy Controls. - Ping Cao 002; Bailu Ye; Linghui Yang; Fei Lu 020; Luping Fang; Guolong Cai; Qun Su; Gangmin Ning; Qing Pan (Comput. Math. Methods Medicine, 2020)

Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning. - Qing Pan; Mengzhe Jia; Qijie Liu; Lingwei Zhang; Jie Pan; Fei Lu 020; Zhongheng Zhang; Luping Fang; Huiqing Ge (Sensors, 2021)

Class activation map-based slicing-concatenation and contrastive learning: A novel strategy for record-level atrial fibrillation detection. - Qiang Zhu; Lingwei Zhang; Fei Lu 020; Luping Fang; Qing Pan (Expert Syst. Appl., 2025)