Zhou Jian, Long Xinxin, Huang Jian, Jiang Caixuan, Zhuo Fengling, Guo Chen, Li Honglang, Fu YongQing, Duan Huigao
College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082 China.
National Center for Nanoscience and Technology, Beijing, 100190 China.
Npj Flex Electron. 2022;6(1):55. doi: 10.1038/s41528-022-00189-1. Epub 2022 Jul 5.
Current state-of-the-art stretchable/flexible sensors have received stringent demands on sensitivity, flexibility, linearity, and wide-range measurement capability. Herein, we report a methodology of strain sensors based on graphene/Ecoflex composites by modulating multiscale/hierarchical wrinkles on flexible substrates. The sensor shows an ultra-high sensitivity with a gauge factor of 1078.1, a stretchability of 650%, a response time of ~140 ms, and a superior cycling durability. It can detect wide-range physiological signals including vigorous body motions, pulse monitoring and speech recognition, and be used for monitoring of human respirations in real-time using a cloud platform, showing a great potential for the healthcare internet of things. Complex gestures/sign languages can be precisely detected. Human-machine interface is demonstrated by using a sensor-integrated glove to remotely control an external manipulator to remotely defuse a bomb. This study provides strategies for real-time/long-range medical diagnosis and remote assistance to perform dangerous tasks in industry and military fields.
当前最先进的可拉伸/柔性传感器在灵敏度、柔韧性、线性度和宽量程测量能力方面面临着严格的要求。在此，我们报告一种基于石墨烯/乙烯基封端的聚二甲基硅氧烷（Ecoflex）复合材料的应变传感器方法，通过在柔性基板上调制多尺度/分层皱纹来实现。该传感器具有超高灵敏度，应变片系数为1078.1，拉伸性为650%，响应时间约为140毫秒，并且具有卓越的循环耐久性。它能够检测包括剧烈身体运动、脉搏监测和语音识别在内的宽范围生理信号，并可通过云平台用于实时监测人体呼吸，在医疗物联网方面显示出巨大潜力。复杂手势/手语能够被精确检测。通过使用集成传感器的手套远程控制外部操纵器来远程拆除炸弹，展示了人机界面。本研究为实时/远程医疗诊断以及在工业和军事领域执行危险任务的远程协助提供了策略。
