Changchun Liu
Affiliations: | School of Control Science and Engineering | Shandong University, Jinan Shi, Shandong Sheng, China |
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Publications
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Sun C, Liu C, Wang X, et al. (2024) Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals. Sensors (Basel, Switzerland). 24 |
Li H, Wang X, Liu C, et al. (2021) Integrating multi-domain deep features of electrocardiogram and phonocardiogram for coronary artery disease detection. Computers in Biology and Medicine. 138: 104914 |
Zhang H, Wang X, Liu C, et al. (2021) Discrimination of Patients with Varying Degrees of Coronary Artery Stenosis by ECG and PCG Signals Based on Entropy. Entropy (Basel, Switzerland). 23 |
Liu T, Li P, Liu Y, et al. (2021) Detection of Coronary Artery Disease Using Multi-Domain Feature Fusion of Multi-Channel Heart Sound Signals. Entropy (Basel, Switzerland). 23 |
Yan C, Liu C, Yao L, et al. (2021) Short-Term Effect of Percutaneous Coronary Intervention on Heart Rate Variability in Patients with Coronary Artery Disease. Entropy (Basel, Switzerland). 23 |
Wang J, Qiao X, Liu C, et al. (2021) Automated ECG classification using a non-local convolutional block attention module. Computer Methods and Programs in Biomedicine. 203: 106006 |
Zhang H, Wang X, Liu C, et al. (2020) Detection of coronary artery disease using multi-modal feature fusion and hybrid feature selection. Physiological Measurement |
Li H, Wang X, Liu C, et al. (2020) A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection. Computers in Biology and Medicine. 120: 103733 |
Yao L, Liu C, Li P, et al. (2020) Enhanced Automated Diagnosis of Coronary Artery Disease Using Features Extracted From QT Interval Time Series and ST–T Waveform Ieee Access. 8: 129510-129524 |
Wang J, Liu C, Li L, et al. (2020) A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease Ieee Access. 8: 37124-37133 |