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Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
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探索五种机器学习回归算法的潜力,用于用光电度学进行非侵入性血压估计

Hanieh Mohammadi1, Bahram Tarvirdizadeh1, Khalil Alipour1

  • 1Advanced Service Robots (ASR) Laboratory, Department of Mechatronics Engineering, School of Intelligent Systems Engineering, College of Interdisciplinary Science and Technology, University of Tehran, Tehran, Iran.

Health informatics journal
|December 23, 2025
PubMed
概括

一个新型的无袖系统使用光电解压仪 (PPG) 信号和机器学习 (ML) 准确估计血压 (BP). 这种非侵入性方法显示了可穿戴健康技术中持续的实时血压监测的前景.

关键词:
血压 血压 血压 血压功能提取 特性提取功能选择 功能选择机器学习是机器学习.摄影电磁吸收仪 (photoplethysmograph) 是一种摄影电磁吸收仪.这是一个回归回归的回归.

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