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<p>Intelligent blood pressure monitoring is transforming hypertension management. In this review, we introduce a novel classification based on measurement principles, categorizing devices into mechanical and non-mechanical methods. We offer fresh insights into the non-mechanical pipeline: advanced sensors, data preprocessing, modeling algorithms, and calibration strategies. We analyze clinical validation standards and limitations, highlighting the pressing need for updated frameworks tailored to next-generation cuffless systems <i>blood pressure, non-mechanical monitoring, deep learning</i>.</p>

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Advances in principles and technologies of non-mechanical blood pressure monitoring

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月27日

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  • Zixin Zheng,
  • He Hao,
  • Yiwen Huang,
  • Rui Lyu,
  • Huadong Ma,
  • Yuqing Zhang,
  • Jing Liu,
  • Chunli Shao,
  • Anfu Zhou

摘要

Intelligent blood pressure monitoring is transforming hypertension management. In this review, we introduce a novel classification based on measurement principles, categorizing devices into mechanical and non-mechanical methods. We offer fresh insights into the non-mechanical pipeline: advanced sensors, data preprocessing, modeling algorithms, and calibration strategies. We analyze clinical validation standards and limitations, highlighting the pressing need for updated frameworks tailored to next-generation cuffless systems blood pressure, non-mechanical monitoring, deep learning.