Advances in principles and technologies of non-mechanical blood pressure monitoring
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 .
Authors
- Anfu Zhou (ORCID: https://orcid.org/0000-0002-8785-3350)
- Yan Dong (ORCID: https://orcid.org/0000-0003-4606-6518)
- Chunli Shao
- Rui Lyu (ORCID: https://orcid.org/0009-0000-1331-7195)
- Zixin Zheng
- He Hao
- Jing Liu
- Yuqing Zhang
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Peking Union Medical College Hospital (CN)
- Peking University People's Hospital (CN)
- Peking University Third Hospital (CN)
- Fu Wai Hospital (CN)
Publication Details
- Journal
- npj Cardiovascular Health
- Published
- 2026-02-27
- DOI
- https://doi.org/10.1038/s44325-025-00102-5
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Higher Education Discipline Innovation Project