2 citations · 3 across the 3 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★ 2 cited
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…