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Wearable humidity sensor based on porous graphene network for respiration monitoring
Biosensors and Bioelectronics ( IF 12.6 ) Pub Date : 2018-05-25 , DOI: 10.1016/j.bios.2018.05.038
Yu Pang , Jinming Jian , Tao Tu , Zhen Yang , Jiang Ling , Yuxing Li , Xuefeng Wang , Yancong Qiao , He Tian , Yi Yang , Tian-Ling Ren

Respiration is as one of the most essential physiological signals, which can be used to monitor human healthcare and activities. Herein, we report a flexible, lightweight and highly conductive porous graphene network as the humidity sensor for respiration monitoring. To enhance the sensing performance, the graphene oxide (GO), poly (3, 4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT: PSS) and Ag colloids (AC) were used to modify the porous graphene. The humidity properties of porous based graphene networks have been investigated at different relative humidity (RH). The porous based graphene sensors exhibit excellent capability of monitoring different breathing patterns including mouse and nose respiration, normal and deep respiration. Besides, the signal variations before and after water intake was recorded by the sensor, which demonstrates the ability to monitor water loss during breathing period. Furthermore, the humidity sensor shows the ability to detect physiological activities including skin moisture, speaking and whistle rhythm, which could be a promising electronic for clinical respiration monitoring.



中文翻译:

基于多孔石墨烯网络的可穿戴式湿度传感器用于呼吸监测

呼吸是最重要的生理信号之一,可用于监视人类的保健和活动。本文中,我们报告了一种灵活,轻便且导电性强的多孔石墨烯网络,作为用于呼吸监测的湿度传感器。为了增强感测性能,使用氧化石墨烯(GO),聚(3,4-乙撑二氧噻吩)-聚(苯乙烯磺酸盐)(PEDOT:PSS)和银胶体(AC)来修饰多孔石墨烯。已经研究了基于多孔的石墨烯网络在不同相对湿度(RH)下的湿度特性。基于多孔质的石墨烯传感器具有出色的监测不同呼吸模式的能力,包括小鼠和鼻子呼吸,正常和深度呼吸。此外,传感器记录了进水前后的信号变化,证明了在呼吸期间监测水分流失的能力。此外,湿度传感器具有检测生理活动的能力,包括皮肤水分,说话和口哨节律,这可能是用于临床呼吸监测的有前途的电子产品。

更新日期:2018-05-25
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