1 code implementation • 26 Apr 2022 • Yu Li, Yaling Yi, Dongwei Ren, Qince Li, WangMeng Zuo
Generally, DPANet is an encoder-decoder with skip-connections, where two branches with shared parameters in the encoder are employed to extract and align deep features from left and right views, and one decoder is adopted to fuse aligned features for predicting the sharp image.
no code implementations • 10 Dec 2020 • Yang Liu, Kuanquan Wang, Qince Li, Runnan He, Yongfeng Yuan, Henggui Zhang
The results show that the models achieve beat-level accuracies of 99. 09% in detecting atrial fibrillation, and 99. 13% in detecting morphological arrhythmias, which are comparable to that of fully supervised learning models, demonstrating their effectiveness.
1 code implementation • 2 Dec 2020 • Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, WangMeng Zuo
To be specific, the reflection layer is firstly estimated due to that it generally is much simpler and is relatively easier to estimate.
no code implementations • 27 Aug 2019 • Yang Liu, Runnan He, Kuanquan Wang, Qince Li, Qiang Sun, Na Zhao, Henggui Zhang
Heart disease is one of the most common diseases causing morbidity and mortality.
no code implementations • Frontiers in Physiology 2018 • Runnan He, Kuanquan Wang, Na Zhao, Yang Liu, Yongfeng Yuan, Qince Li, Henggui Zhang
The proposed method analyzed the time-frequency features of the electrocardiogram (ECG), thus being different to conventional AF detecting methods that implement isolating atrial or ventricular activities.
Ranked #2 on Atrial Fibrillation Detection on MIT-BIH AF