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Updated: Jul 12, 2025

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
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Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

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使用二维卷积神经网络和呼吸力信号预测睡眠呼吸暂停的严重程度

Verónica Barroso-García1,2, Marta Fernández-Poyatos1, Benjamín Sahelices3

  • 1Biomedical Engineering Group, University of Valladolid, 47011 Valladolid, Spain.

Diagnostics (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究表明,使用2D卷积神经网络 (CNN) 与胸部和腹部运动信号可以准确估计睡眠呼吸暂停的严重程度. 这种方法对于诊断中央睡眠呼吸暂停事件特别有效.

关键词:
腹部呼吸系统的信号中央睡眠呼吸暂停症是什么卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.阻塞性睡眠呼吸暂停症是什么胸部呼吸系统的信号

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