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Conv-RGNN: An efficient Convolutional Residual Graph Neural Network for ECG classification.
Yupeng Qiang
Xunde Dong
Xiuling Liu
Yang Yang
Yihai Fang
Jianhong Dou
Published in:
Computer methods and programs in biomedicine (2024)
The Conv-RGNN proposed in this paper offer a promising and feasible approach for intelligent diagnosis in resource-constrained environments.
Keyphrases
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neural network
machine learning
deep learning
heart rate variability
heart rate
blood pressure