Thin, soft, wearable system for continuous wireless monitoring of artery blood pressure

Jian LI, Huiling JIA, Jingkun ZHOU, Xingcan HUANG, Long XU, Shengxin JIA, Zhan GAO, Kuanming YAO, Dengfeng LI, Binbin ZHANG, Yiming LIU, Ya HUANG, Yue HU, Guangyao ZHAO, Zitong XU, Jiyu LI, Chun Ki YIU, Yuyu GAO, Mengge WU, Yanli JIAOQiang ZHANG, Xuecheng TAI, Raymond H. CHAN, Yuanting ZHANG, Xiaohui MA*, Xinge YU*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

84 Citations (Scopus)

Abstract

Continuous monitoring of arterial blood pressure (BP) outside of a clinical setting is crucial for preventing and diagnosing hypertension related diseases. However, current continuous BP monitoring instruments suffer from either bulky systems or poor user-device interfacial performance, hampering their applications in continuous BP monitoring. Here, we report a thin, soft, miniaturized system (TSMS) that combines a conformal piezoelectric sensor array, an active pressure adaptation unit, a signal processing module, and an advanced machine learning method, to allow real wearable, continuous wireless monitoring of ambulatory artery BP. By optimizing the materials selection, control/sampling strategy, and system integration, the TSMS exhibits improved interfacial performance while maintaining Grade A level measurement accuracy. Initial trials on 87 volunteers and clinical tracking of two hypertension individuals prove the capability of the TSMS as a reliable BP measurement product, and its feasibility and practical usability in precise BP control and personalized diagnosis schemes development.

Original languageEnglish
Article number5009
Number of pages12
JournalNature Communications
Volume14
Issue number1
Early online date17 Aug 2023
DOIs
Publication statusPublished - Dec 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023, Springer Nature Limited.

Funding

This work was supported by InnoHK Project on Project 2.2—AI-based 3D ultrasound imaging algorithm at Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), City University of Hong Kong (Grants No. 9667221, 924007 and 9680322), and National Natural Science Foundation of China (Grants No. 62122002).

Fingerprint

Dive into the research topics of 'Thin, soft, wearable system for continuous wireless monitoring of artery blood pressure'. Together they form a unique fingerprint.

Cite this