Microcavity assisted graphene pressure sensor for single-vessel local blood pressure monitoring  

作　　者：Jinan Luo Jingzhi Wu Xiaopeng Zheng Haoran Xiong Lin Lin Chang Liu Haidong Liu Hao Tang Houfang Liu Fei Han Zhiyuan Liu Zhikang Deng Chuting Liu Tianrui Cui Bo Li Tian-Ling Ren Jianhua Zhou Yancong Qiao 

机构地区：[1]School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China [2]Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, China [3]School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, China [4]CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, 518055, China [5]Cardiovascular surgery, Seventh affiliated Hospital of Sun Yat-sen University, Shenzhen, 518107, China

出　　处：《Nano Research》2024年第11期10058-10068,共11页纳米研究（英文版）

基　　金：supported by the National Natural Science Foundation of China(Nos.62201624,32000939,21775168,22174167,51861145202 and U20A20168);the Guangdong Basic and Applied Basic Research Foundation(Nos.2024A1515012056 and 2019A1515111183);Shenzhen Science and Technology Program(No.RCBS20221008093310024);Shenzhen Research Funding Program(Nos.JCYJ20190807160401657 and JCYJ201908073000608);Open Research Fund Program of Beijing National Research Center for Information Science and Technology(No.BR2023KF02010);The authors are also thankful for the support from Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province(No.2020B1212060077);the Fundamental Research Funds for the Central Universities,Sun Yat-sen University(No.24xkjc034).

摘　　要：Dynamic monitoring of blood pressure (BP) is beneficial to obtain comprehensive cardiovascular information of patients throughout the day. However, the clinical BP measurement method relies on wearing a bulky cuff, which limits the long-term monitoring and control of BP. In this work, a microcavity assisted graphene pressure sensor (MAGPS) for single-vessel local BP monitoring is designed to replace the cuff. The microcavity structure increases the working range of the sensor by gas pressure buffering. Therefore, the MAGPS achieves a wide linear response of 0–1050 kPa and sensitivity of 15.4 kPa^(−1). The large working range and the microcavity structure enable the sensor to fully meet the requirements of BP detection at the radial artery. A database of 228 BP data (60-s data fragment detected by MAGPS) and 11,804 pulse waves from 9 healthy subjects and 5 hypertensive subjects is built. Finally, the BP was detected and analyzed automatically by combining MAGPS and a two-stage convolutional neural network algorithm. For the BP detection method at local radial artery, the first stage algorithm first determines whether the subject has hypertension by the pulse wave. Then, the second stage algorithm can diagnose systolic and diastolic BP with the accuracy of 93.5% and 97.8% within a 10 mmHg error, respectively. This work demonstrates a new BP detection method based on single vessel, which greatly promotes the efficiency of BP detection.

关 键 词：graphene pressure sensor microcavity assisted pressure sensor single-vessel BP monitoring two-stage neural network algorithm 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TQ127.11[自动化与计算机技术—控制科学与工程]