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【心電圖】「Mini_ECGNet」: 結合動態協方差池化與空洞卷積技術,增強心電圖分類的準確性

 【心電圖】「Mini_ECGNet」: 結合動態協方差池化與空洞卷積技術,增強心電圖分類的準確性(降噪)


 文章出處  

Biomedical Signal Processing and Control 

 

 原文標題  

Mini_ECGNet: a lightweight neural network with adaptive covariance pooling and dilated convolution for noise-robust ECG classification 

 

 文章序號  

10201 

 

智醫科學-AI醫療技術、應用與市場動

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