干扰
灵敏度(控制系统)
信号(编程语言)
隐形眼镜
镜头(地质)
材料科学
眼压
青光眼
压力传感器
干扰(通信)
噪音(视频)
光学
声学
电子工程
计算机科学
眼科
工程类
医学
电信
人工智能
物理
机械工程
频道(广播)
图像(数学)
热力学
程序设计语言
作者
Xueyang Ren,Yunfan Zhou,Fangzhou Lu,Leili Zhai,Hao Wu,Zhongda Chen,Changxian Wang,Xuefei Zhu,Yandong Xie,Pingqiang Cai,Juan Xu,Xianglong Tang,Jianqing Li,Jin Yao,Qin Jiang,Benhui Hu
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2023-06-01
卷期号:8 (7): 2691-2701
被引量:37
标识
DOI:10.1021/acssensors.3c00542
摘要
Contact lens sensors provide a noninvasive approach for intraocular pressure (IOP) monitoring in patients with glaucoma. Accurate measurement of this imperceptible pressure variation requires highly sensitive sensors in the absence of simultaneously amplifying IOP signal and blinking-induced noise. However, current noise-reduction methods rely on external filter circuits, which thicken contact lenses and reduce signal quality. Here, we introduce a contact lens strain sensor with an anti-jamming ability by utilizing a self-lubricating layer to reduce the coefficient of friction (COF) to remove the interference from the tangential force. The sensor achieves exceptionally high sensitivity due to the strain concentration layout and the confined occurrence of sympatric microcracks. The animal tests prove our lens can accurately detect IOP safely and reliably.
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