1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Weakly Supervised Arrhythmia Detection Based on Deep Convolutional Neural Network
Yang Liu, Kuanquan Wang, Qince Li +3
Supervised deep learning has been widely used in the studies of automatic ECG classification, which largely benefits from sufficient annotation of large datasets. However, most of…
eess.SP2019
Short-time detection of QRS complexes using dual channels 1 based on U-Net and bidirectional long short-term memory
Runnan He, Yang Liu, Kuanquan Wang +4
Cardiovascular disease is associated with high rates of morbidity and mortality, and can be reflected by 19 abnormal features of electrocardiogram (ECG). Detecting changes in the Q…
cs.LG2019
Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention
Yang Liu, Runnan He, Kuanquan Wang +4
Heart disease is one of the most common diseases causing morbidity and mortality. Electrocardiogram (ECG) has been widely used for diagnosing heart diseases for its simplicity and…