Chang Liang

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JBHI, Featured Articles
ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network
ECG classification is a key technology in intelligent ECG monitoring. In the past, traditional machine learning methods such as SVM and KNN have been used for ECG classification, but with limited classification accuracy. Recently, the end-to-end neural network has been used for the ECG classification and shows high classification accuracy. However, the end-to-end neural network has large computational complexity including a large number of parameters and operations... Read more