使用深度学习进行临时连续自动化睡眠-觉醒分类

Pranavan Somaskandhan1, Henri Korkalainen2,3, Timo Leppänen1,2,3

  • 1School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.

概括

这项研究引入了一个深度学习的睡眠-清醒分类器,可以克服固定30秒时代的局限性. 这种新型模型提供了高时间分辨率的睡眠评分,以获得更准确的生理评估.

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