Enhancing Cardiovascular Health Monitoring: Simultaneous Multi-Artery Cardiac Markers Recording with Flexible and Bio-compatible AlN Piezoelectric Sensors

压电 材料科学 生物医学工程 纳米技术 心脏病学 内科学 医学 复合材料
作者
Marco Cinquino,Süleyman Mahircan Demir,Angela Tafadzwa Shumba,Enrico Junior Schioppa,Luca Fachechi,Francesco Rizzi,Antonio Qualtieri,Luigi Patrono,Vincenzo Mastronardi,Massimo De Vittorio
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:267: 116790-116790
标识
DOI:10.1016/j.bios.2024.116790
摘要

Continuous monitoring of cardiovascular parameters like pulse wave velocity (PWV), blood pressure wave (BPW), stiffness index (SI), reflection index (RI), mean arterial pressure (MAP), and cardio-ankle vascular index (CAVI) has significant clinical importance for the early diagnosis of cardiovascular diseases (CVDs). Standard approaches, including echocardiography, impedance cardiography, or hemodynamic monitoring, are hindered by expensive and bulky apparatus and accessibility only in specialized facilities. Moreover, noninvasive techniques like sphygmomanometry, electrocardiography, and arterial tonometry often lack accuracy due to external electrical interferences, artifacts produced by unreliable electrode contacts, misreading from placement errors, or failure in detecting transient issues and trends. Here, we report a bio-compatible, flexible, noninvasive, low-cost piezoelectric sensor for continuous and real-time cardiovascular monitoring. The sensor, utilizing a thin aluminum nitride film on a flexible Kapton substrate, is used to extract heart rate, blood pressure waves, pulse wave velocities, and cardio-ankle vascular index from four arterial pulse sites: carotid, brachial, radial, and posterior tibial arteries. This simultaneous recording, for the first time in the same experiment, allows to provide a comprehensive cardiovascular patient's health profile. In a test with a 28-year-old male subject, the sensor yielded the SI = 7.1 ± 0.2 m/s, RI = 54.4 ± 0.5 %, MAP = 86.2 ± 1.5 mmHg, CAVI = 7.8 ± 0.2, and seven PWVs from the combination of the four different arterial positions, in good agreement with the typical values reported in the literature. These findings make the proposed technology a powerful tool to facilitate personalized medical diagnosis in preventing CVDs.
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