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[基于多尺度残留收缩U-Net的胎儿心电图信号提取]

Qian Wang1, Zhengxu Zhang2, Danyang Song3

  • 1College of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|June 27, 2024
PubMed
概括

这项研究引入了一种新的多尺度U-Net模型,用于更清晰的胎儿心电图 (ECG) 信号提取. 改进后的模型提高了围产期胎儿健康监测的准确性.

关键词:
深度学习是一种深度学习.深度残留收缩网络的深度收缩网络胎儿心电图的提取信号软游泳池是一个柔软的游泳池.

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