Department of Physics, Nanchang University, Nanchang 330031, PR China.
Department of Physics, Nanchang University, Nanchang 330031, PR China; Nanoscale Science and Technology Laboratory, Institute for Advanced Study, Nanchang University, Nanchang 330031, PR China.
Biosens Bioelectron. 2016 Mar 15;77:907-13. doi: 10.1016/j.bios.2015.10.062. Epub 2015 Oct 26.
Flexible sensors have attracted more and more attention as a fundamental part of anthropomorphic robot research, medical diagnosis and physical health monitoring. Here, we constructed an ultrasensitive and passive flexible sensor with the advantages of low cost, lightness and wearability, electric safety and reliability. The fundamental mechanism of the sensor is based on triboelectric effect inducing electrostatic charges on the surfaces between two different materials. Just like a plate capacitor, current will be generated while the distance or size of the parallel capacitors changes caused by the small mechanical disturbance upon it and therefore the output current/voltage will be produced. Typically, the passive sensor unambiguously monitors muscle motions including hand motion from stretch-clench-stretch, mouth motion from open-bite-open, blink and respiration. Moreover, this sensor records the details of the consecutive phases in a cardiac cycle of the apex cardiogram, and identify the peaks including percussion wave, tidal wave and diastolic wave of the radial pulse wave. To record subtle human physiological signals including radial pulsilogram and apex cardiogram with excellent signal/noise ratio, stability and reproducibility, the sensor shows great potential in the applications of medical diagnosis and daily health monitoring.
柔性传感器作为拟人机器人研究、医疗诊断和身体健康监测的基本组成部分,引起了越来越多的关注。在这里,我们构建了一个具有成本低、重量轻、穿戴舒适、电气安全可靠等优点的超灵敏、无源柔性传感器。传感器的基本原理是基于两种不同材料表面之间的摩擦起电效应产生静电荷。就像一个平板电容器,当平行电容器的距离或尺寸因受到微小机械干扰而发生变化时,就会产生电流,从而产生输出电流/电压。通常,无源传感器可以明确地监测包括手部运动(从伸展-紧握-伸展)、口腔运动(从张开-咬合-张开)、眨眼和呼吸等肌肉运动。此外,该传感器还记录了心尖心电图中心脏周期的连续相位的细节,并识别出了桡动脉脉搏波的冲击波、潮汐波和舒张波等峰值。为了记录包括桡动脉脉搏图和心尖心电图在内的细微的人体生理信号,并具有出色的信号/噪声比、稳定性和可重复性,该传感器在医疗诊断和日常健康监测应用中具有很大的潜力。