Gang Lv
College of Medical Imaging, Shanghai University of Medicine and Health Sciences, China
Publications
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Research Article
Weighted Dual-Channel Model for Arrhythmia Detection using Single Electrocardiogram Signal
Author(s): Jiaqi Li, Zhiping Fan, Yuxin Hou, Zi Zeng, Gang Lv, Kang Chen, Liang Zhou*, Tao Wu* and Qing Cao*
The single-lead method plays a central role in arrhythmia warning, and its anomaly detection is of practical significance for the prevention of heart diseases. However, the detection performance is often limited due to the limited information content of single-lead electrocardiogram (ECG) signals. To address this issue, this paper proposes a weighted dual- channel arrhythmia classification model aimed at improving the detection performance of single-lead ECG signals. The model employs a parallel structure of CNN-LSTM and Transformer to capture both local and global features of the ECG signals. By applying weighted learning to the features from the two channels, the model achieves precise arrhythmia classification. Additionally, to alleviate the class imbalance problem, a weighted cross-entropy loss function is introduced, further enhancing the classification performance. Experimental .. Read More»