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WIPSNet:基于3D ResNet的儿童夜间喘鸣检测

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2026-10-02,arXiv发表WIPSNet研究,提出基于堆叠连续小波变换谱图的3D ResNet,从夜间阻抗呼吸图信号检测儿童喘鸣。在15名患者(60夜、281小时)队列上,AUC达0.783±0.026,优于EVI(Mamba)及两种睡眠分期架构;性能在32分钟时间上下文深度处达到峰值。

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Oct 2, 2026
  1. arXiv · Machine Learning Theory
    WIPSNet:基于深度学习的儿童夜间喘鸣阻抗呼吸图检测

    WIPSNet 是一个基于堆叠连续小波变换谱图的 3D ResNet,用于从夜间阻抗呼吸图信号中检测儿童喘鸣。在 15 名患者(60 夜、281 小时)队列上,WIPSNet 达到 AUC 0.783±0.026,优于 EVI(Mamba)及两种睡眠分期架构;性能在 32 分钟时间上下文深度处达到峰值。

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