MCG-Net: End-to-End Fine-Grained Delineation and Diagnostic Classification of Cardiac Events From Magnetocardiographs
IEEE Journal of Biomedical and Health Informatics(2022)
摘要
In this paper, we propose an end-to-end deep learning architecture, referred as MCG-Net, integrating convolutional neural network (CNN) with transformer-based global context block for fine-grained delineation and diagnostic classification of four cardiac events from magnetocardiogram (MCG) data, namely Q-, R-, S- and T-waves. MCG-Net takes advantage of a multi-resolution CNN backbone as well as th...
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关键词
Heating systems,Feature extraction,Convolutional neural networks,Transformers,Magnetic domains,Pathology,Electrocardiography
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