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 language | English |
|---|---|
| Article number | 5009 |
| Number of pages | 12 |
| Journal | Nature Communications |
| Volume | 14 |
| Early online date | 17 Aug 2023 |
| DOIs | |
| Publication status | Published - Dec 2023 |
| Externally published | Yes |
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).
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