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Multi-Noise Removal from ECG Signals Using Residual Block-Based Generative Adversarial Networks with Customized Loss Function

2026-02-09

Abstract excerpt

<title>Abstract</title> <p>The field of biomedical signal processing has witnessed significant advancements, particularly in the domain of electrocardiogram (ECG) denoising. Existing methods often lack consideration of both local and global feature differences, have limited applicability to various noise types, and can introduce signal distortion after denoising. In our research, we propose and investigate a mult...

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Literature Corpus work
bc821797-c4c2-5d01-974a-853fe135709b
DOI
10.21203/rs.3.rs-7442470/v1
Open publication

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Multi-Noise Removal from ECG Signals Using Residual Block-Based Generative Adversarial Networks with Customized Loss FunctionDOI 10.21203/rs.3.rs-7442470/v1
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