作者
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 Jiao,Qiang Zhang,Xue‐Cheng Tai,Raymond H. Chan,Yuan‐Ting Zhang,Xiaohui Ma,Xinge Yu
摘要
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.