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Updated: Jan 17, 2026

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使用FlexNIRS和机器学习在 carotid endarterectomy期间进行非侵入性连续血压预测

Zahra Einalou1, Mehrdad Dadgostar1, Kuan-Cheng Wu1

  • 1Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States.

Journal of biomedical optics
|September 22, 2025
PubMed
概括

近红外光谱光斑显微镜 (NIRS-PPG) 提供了一种用于连续血压监测的非侵入性方法. 这项研究表明,使用机器学习的NIRS-PPG可以准确地估计平均动脉压,并有可能取代动脉直线.

关键词:
灵活的护士 灵活的护士高斯过程回归的高斯过程回归.冠状动脉末端切除术 (carotid endarterectomy) 是一个切除术.线性回归模型的线性回归模型接近红外光谱学光电测量学光电测量学.非侵入性血压监测是指非侵入性的血压监测.

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