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ECGVEDNET:一种变异编码解码网络,用于在形态学变异ECG中进行ECG划分

Long Chen, Zheheng Jiang, Joseph Barker

    IEEE transactions on bio-medical engineering
    |February 6, 2024
    PubMed
    概括

    本研究介绍了ECGVEDNET,这是一种用于心电图 (ECG) 划分的深度学习模型,解决了数据限制和形态变异. 该模型在大型和小型数据集上实现了最先进的性能,以准确识别QRS开始和T峰值.

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