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)

An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation. - Qing Pan; Lingwei Zhang; Mengzhe Jia; Jie Pan; Qiang Gong; Yunfei Lu; Zhongheng Zhang; Huiqing Ge; Luping Fang (Comput. Methods Programs Biomed., 2021)

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)

Comprehensive breathing variability indices enhance the prediction of extubation failure in patients on mechanical ventilation. - Qing Pan; Haoyuan Zhang; Mengting Jiang; Gangmin Ning; Luping Fang; Huiqing Ge (Comput. Biol. Medicine, 2023)