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首页> 外文期刊>IEEE Sensors Letters >A Paper-Based Inkjet-Printed Graphene Sensor for Breathing-Flow Monitoring
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A Paper-Based Inkjet-Printed Graphene Sensor for Breathing-Flow Monitoring

机译：纸基喷墨打印石墨烯传感器，用于呼吸流量监测

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摘要

Continuous monitoring of breathing flow is an essential but often poorly utilized predictor that is causing poor patient outcome. A low-cost, light-weight, easy-to-use, reliable, and disposable breathing sensor is required to bypass the limitations of existing conventional sensors, which are bulky, expensive, and often require experts to handle. In this article, a low-cost, inkjet-printed graphene sensor on a disposable glossy photo-paper substrate is presented for breathing-rate monitoring. The sensor architecture consists of a graphene nanoparticle based thin functional layer on top of a silver nanoparticle based interdigitated conductive pattern. A standard office inkjet-printer was configured with nanoparticle inks and a printed circuit board design software was utilized for the layouts. The sensor was tested in a laboratory environment, and its data were analyzed for different breathing patterns. An empirical model of the sensor was developed using the Cole–Cole impedance model. Test results showed successful detection of breathing rates for different breathing patterns. The prototype sensor provides a low-cost, disposable, and practical solution for frequent breathing pattern recognition.
机译：持续监测呼吸流量是必不可少的，但往往利用不佳的预测因素会导致患者预后不良。需要一种低成本，轻便，易于使用，可靠和一次性的呼吸传感器来绕过现有常规传感器的局限性，这些常规传感器体积大，价格昂贵且通常需要专家来处理。在本文中，提出了一种在一次性光面相纸基材上的低成本喷墨印刷石墨烯传感器，用于呼吸速率监测。传感器架构由基于银纳米粒子的叉指式导电图案之上的基于石墨烯纳米粒子的薄功能层组成。标准办公室喷墨打印机配置有纳米粒子墨水，并且印刷电路板设计软件用于布局。该传感器在实验室环境中进行了测试，并针对不同的呼吸模式分析了其数据。使用Cole–Cole阻抗模型开发了传感器的经验模型。测试结果表明，可以成功检测出不同呼吸模式的呼吸速率。原型传感器为频繁的呼吸模式识别提供了一种低成本，一次性且实用的解决方案。

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