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

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

PMC · DOI: 10.1038/s44325-025-00102-5 · npj Cardiovascular Health · 2026-02-27

## TL;DR

This paper reviews new non-mechanical blood pressure monitoring technologies and their potential to improve hypertension management.

## Contribution

A novel classification of blood pressure monitoring devices and insights into non-mechanical methods are introduced.

## Key findings

- Non-mechanical methods rely on advanced sensors and deep learning algorithms.
- Current clinical validation standards are inadequate for next-generation cuffless systems.

## Abstract

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.

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12949051/full.md

## References

39 references — full list in the complete paper: https://tomesphere.com/paper/PMC12949051/full.md

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Source: https://tomesphere.com/paper/PMC12949051