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English(EN) ECGWmark: Deep Watermarking for Electrocardiogram Signals

新深度水印框架用于心电图信号

研究人员开发了ECGWmark,一种专为心电图(ECG)信号设计的新型深度水印框架。该方法解决了传统水印在时间失不同步方面存在的脆弱性以及现有用于时间数据的深度水印技术中存在的有损量化问题。ECGWmark在连续的潜在空间中运行,采用局部帧级机制以增强鲁棒性,并使用可微分的生理损失来保留诊断语义。在MIT-BIH数据库上的实验证明了通道比特提取的高准确性,并分析了其对类别级诊断评估的混合影响。 AI

排序理由 该集群包含一篇详细介绍信号处理新技术框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新深度水印框架用于心电图信号

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该集群包含一篇详细介绍信号处理新技术框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Kuan-Yu Chen, Kuan-Chen Wang, Yu Tsao, Jian-Jiun Ding ·

    ECGWmark:心电图信号的深度水印

    arXiv:2610.13357v1 Announce Type: cross Abstract: Secure transmission of electrocardiogram (ECG) signals remains a major challenge in telecardiology. While traditional mathematical watermarking can embed patient metadata directly into ECG signals, it is highly fragile against tem…