Multiperceptive Region of Spatial–Temporal Graph Convolutional Shrinkage Network for Arrhythmia Recognition
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3376017
Abstract: In the realm of intelligent arrhythmia recognition, deep learning (DL) methods have dominated in recent years. However, these methods often struggle to explicitly capture relationships between signals. Graph convolutional networks (GCNs) are designed to efficiently… read more here.
Keywords: graph convolutional; arrhythmia recognition; shrinkage; arrhythmia ... See more keywords
Retracted: An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9862375
Abstract: [This retracts the article DOI: 10.1155/2022/3408501.]. read more here.
Keywords: arrhythmia recognition; deep electrocardiography; retracted effective; electrocardiography arrhythmia ... See more keywords