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基于机器学习的中心静脉压升高的患者的识别,使用从光电脉冲图波形中提取的特征

Ravi Pal1, Akos Rudas2, Jeffrey N Chiang2

  • 1Department of Anesthesiology & Perioperative Medicine, University of California, Los Angeles, CA, USA.

medRxiv : the preprint server for health sciences
|January 8, 2026
PubMed
概括

机器学习分析光聚缩学 (PPG) 信号可以非侵入性地识别升高的中央静脉压力 (CVP). 这种方法显示了在重症监护中传统的CVP监测的潜在更少入侵的替代方案.

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