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本赛题面向可穿戴睡眠监测场景,通过分析患者的血氧和心率信息,实现呼吸暂停和低通气异常事件的检测,帮助预警患者的健康风险。

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睡眠呼吸暂停和低通气事件检测

抓小号比赛(吃瓜)

Citation

使用的MSDNN模型(Net2)来自组里师兄之前在NC上发表的一篇做心电信号处理的论文:

@article{lai2023practical,
  title={Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset},
  author={Lai, Jiewei and Tan, Huixin and Wang, Jinliang and Ji, Lei and Guo, Jun and Han, Baoshi and Shi, Yajun and Feng, Qianjin and Yang, Wei},
  journal={Nature Communications},
  volume={14},
  number={1},
  pages={3741},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

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本赛题面向可穿戴睡眠监测场景,通过分析患者的血氧和心率信息,实现呼吸暂停和低通气异常事件的检测,帮助预警患者的健康风险。

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