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Updated: Jun 24, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
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MCAF-Net:多道时间交叉注意网络,具有用于睡眠阶段分类的动态门

Xuegang Xu1, Quan Wang1, Changyuan Wang1

  • 1School of Computer Science and Engineering, Xi'an Technological University, Xi'an 710021, China.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括

本研究介绍了MCAF-Net用于使用多通道生理数据进行自动睡眠阶段分类. 这种新型网络有效地集成信号,大大提高了睡眠评估准确度,而不是单通道方法.

关键词:
睡眠阶段的自动分类动态 封闭式 封闭式多通道信号融合信号的多通道信号.多头跨道注意力机制.时间卷积的时间卷积.

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