退QRS

Zhiqiang Liao1,2, Zhuozheng Shi2,3, Md Shamim Sarker1,2

  • 1Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Tokyo, 113-8656, Japan.

Heliyon
|April 5, 2024
PubMed
概括

这项研究引入了一种新的模拟退化单元 (SDU) 辅助卷积神经网络 (CNN),以提高心电图 (ECG) 的准确性. SDU增强的CNN显著提高了QRS复杂检测性能和用于心血管疾病诊断的噪声强度.