Reduced Graphene Oxide-Based Flexible Pressure Sensor for Biomedical Applications

被引:0
|
作者
Sanginario, Alessandro [1 ]
Buraioli, Irene [1 ]
Boscherini, Marco [1 ]
Vitale, Stefania [2 ,3 ]
Sabrina, Conoci [4 ]
Botto, Daniele [5 ]
Leone, Dario [6 ]
Milan, Alberto [6 ]
Ciesielski, Artur [2 ,3 ]
Samori, Paolo [2 ,3 ]
Demarchi, Danilo [1 ]
机构
[1] Politecn Torino, Dept Elect & Telecommun, I-10129 Turin, Italy
[2] Univ Strasbourg, ISIS, I-67000 Strasbourg, France
[3] CNRS, I-67000 Strasbourg, France
[4] Univ Messina, Dept Chem Biol Pharmaceut & Environm Sci, I-98122 Messina, Italy
[5] Politecn Torino, Dept Mech & Aerosp Engn, I-10129 Turin, Italy
[6] Univ Turin, Candiolo Canc Inst FPO IRCCS, Div Internal Med, Dept Med Sci, I-10060 Turin, Italy
关键词
Sensors; Sensor phenomena and characterization; Sensitivity; Pressure sensors; Graphene; Piezoresistance; Substrates; Intelligent sensors; Conductivity; Wearable devices; Biomedical pressure sensor; current-based Wheatstone bridge; flexible printed circuit board (PCB) sensor; reduced graphene oxide (rGO)-based pressure sensor; PULSE-WAVE VELOCITY; SENSITIVITY; FOAM;
D O I
10.1109/JSEN.2024.3467995
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Pressure sensing is a crucial technique for various biomedical applications, where it can provide valuable information about the health and function of different organs and systems. This article reports the development of a novel integrated pressure sensor based on modified reduced graphene oxide (rGO), a graphene-derivative material with enhanced piezoresistive properties. The sensor is fabricated on a flexible printed circuit board (PCB) substrate and conditioned by a smart current-based Wheatstone bridge circuit, which enables high sensitivity, wide detection range, fast response and recovery, and good stability under cyclic loading. The sensor achieves a measured sensitivity of 0.281 kPa(-1) (at 0.5 kPa load). A mechanical system is also designed to adapt the sensor to different anatomical sites and improve its elastic recovery. The sensor's functionality is initially demonstrated through its response to controlled mechanical stimulation, achieving a signal-to-noise ratio (SNR) of 25 dB. Subsequently, in a practical application, physiological signals from the carotid and femoral arteries of volunteers were acquired. The system effectively captured the pulse waveforms with high fidelity and accuracy (23.5-dB SNR) and measured the pulse transit time, an important parameter for estimating the pulse wave velocity (PWV) and arterial stiffness. The sensor is not limited to this specific application and can be easily extended to other domains where pressure sensing is required. In conclusion, it offers a low-cost, flexible, and user-friendly solution for noninvasive biomedical monitoring and diagnosis.
引用
收藏
页码:37090 / 37103
页数:14
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