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A Coordinated Adaptive Multiscale Enhanced Spatio-Temporal Fusion Network for Multi-lead Electrocardiogram Arrhythmia Detection

2024-04-11

Abstract excerpt

<title>Abstract</title> <p>The multi-lead electrocardiogram (ECG) is extensively used in clinical diagnosis and monitoring of cardiac conditions. With the development of deep learning, automated multi-lead ECG diagnostic networks play a crucial role in biomedical engineering and clinical cardiac disease diagnosis. Methods for intelligent ECG diagnosis include Recurrent Neural Networks (RNN), Transformers, and Con...

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Literature Corpus work
4bba039b-b51c-5d6b-af87-e330b716a67d
DOI
10.21203/rs.3.rs-4161393/v1
Open publication

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A Coordinated Adaptive Multiscale Enhanced Spatio-Temporal Fusion Network for Multi-lead Electrocardiogram Arrhythmia DetectionDOI 10.21203/rs.3.rs-4161393/v1
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