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基于碳黑/碳纳米管导电网络多孔结构的用于人体运动检测的柔性应变传感器。

A Flexible Strain Sensor Based on the Porous Structure of a Carbon Black/Carbon Nanotube Conducting Network for Human Motion Detection.

机构信息

Key Laboratory for Robot Intelligent Technology of Shandong Province, Shandong University of Science and Technology, Qingdao 266590, China.

出版信息

Sensors (Basel). 2020 Feb 20;20(4):1154. doi: 10.3390/s20041154.

Abstract

High-performance flexible strain sensors are playing an increasingly important role in wearable electronics, such as human motion detection and health monitoring, with broad application prospects. This study developed a flexible resistance strain sensor with a porous structure composed of carbon black and multi-walled carbon nanotubes. A simple and low-cost spraying method for the surface of a porous polydimethylsiloxane substrate was used to form a layer of synergized conductive networks built by carbon black and multi-walled carbon nanotubes. By combining the advantages of the synergetic effects of mixed carbon black and carbon nanotubes and their porous polydimethylsiloxane structure, the performance of the sensor was improved. The results show that the sensor has a high sensitivity (GF) (up to 61.82), a wide strain range (0%-130%), a good linearity, and a high stability. Based on the excellent performance of the sensor, the flexible strain designed sensor was installed successfully on different joints of the human body, allowing for the monitoring of human movement and human respiratory changes. These results indicate that the sensor has promising potential for applications in human motion monitoring and physiological activity monitoring.

摘要

高性能柔性应变传感器在可穿戴电子产品中(如人体运动检测和健康监测)发挥着越来越重要的作用,具有广阔的应用前景。本研究开发了一种由碳黑和多壁碳纳米管组成的多孔结构的柔性电阻应变传感器。采用简单且低成本的喷涂方法,在多孔聚二甲基硅氧烷基底的表面形成一层由碳黑和多壁碳纳米管构建的协同导电网络。通过结合混合碳黑和碳纳米管的协同效应及其多孔聚二甲基硅氧烷结构的优势,提高了传感器的性能。结果表明,该传感器具有高灵敏度(GF)(高达 61.82)、宽应变范围(0%-130%)、良好的线性度和高稳定性。基于传感器的优异性能,成功地将设计的柔性应变传感器安装在人体的不同关节上,实现了对人体运动和呼吸变化的监测。这些结果表明,该传感器在人体运动监测和生理活动监测方面具有广阔的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a828/7071403/3c37f5ed52b2/sensors-20-01154-g001.jpg

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