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Chaoying Jiang, Yujing Xin, Ning Liu

    IEEE journal of biomedical and health informatics
    |September 18, 2025
    PubMed
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    本研究介绍了SiTs-ECG,这是一种用于自动心电图 (ECG) 分类的新型自我代数据增强方法. 它通过生成和选择高质量的,可靠标记的ECG数据来提高分类模型的性能,克服数据稀缺的挑战.

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