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Updated: Jun 9, 2025

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在健康的成年人群中,基于机器学习的呼吸系统波动估计,使用静止状态的fMRI和头部运动参数

Abdoljalil Addeh1,2,3,4, Fernando Vega1,2,3,4, Amin Morshedi1,2,3,4

  • 1Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, Canada.

Magnetic resonance in medicine
|October 31, 2024
PubMed
概括

这项研究表明,机器学习可以从BOLD-fMRI数据准确地重建呼吸变化 (RV),通过结合头部运动参数来提高准确性. 这种方法在没有外部呼吸监测的情况下分析fMRI数据方面具有前景.

关键词:
大胆的fMRI.在 HCP-YAYA 里面.卷积神经网络是一种卷积神经网络.头部伪运动 头部伪运动生理纠正 - - 生理纠正.呼吸系统的变化.

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