Gan Xingyi, Yao Guang, Li Cunbo, Mu Yufeng, Xie Maowen, Zhou Chenzheng, Li Peisi, Dong Qiwei, Chen Ke, Zhao Kangning, Gao Min, Pan Taisong, Lu Fang, Yao Dezhong, Xu Peng, Lin Yuan
School of Materials and Energy, University of Electronic Science and Technology of China, 610054, Chengdu, Sichuan, China.
State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, 610054, Chengdu, Sichuan, China.
Microsyst Nanoeng. 2025 May 12;11(1):83. doi: 10.1038/s41378-025-00946-y.
Chronic ophthalmic diseases are multivariate, time-varying, and degenerative. Smart contact lenses have emerged as a scalable platform for noninvasive ocular signal detection and disease diagnosis. However, real-time monitoring and decoupling of multiple ocular parameters, particularly when the eyes are closed, remain challenging in clinical medicine. In this work, we propose a stretchable bimodal contact lens (BCL) amalgamating self-decoupled electromagnetic capacitive intraocular pressure (CIOP) and magnetic eye movement (MEM) monitoring components. The sandwich-integrated BCL can be intimately attached to the eyeball, enabling closed-eye, wireless, and precise signal acquisition without interference. During the eye open and closed, the serpentine-geometry CIOP unit was validated on a rabbit model, achieving supered resolution (1 mmHg) and sensitivity (≥0.22 MHz mmHg) for reversible hypo- to hyper-IOP fluctuations. Ex vivo and in vivo MEM monitoring, based on composition-optimized magnetic interlayer film, demonstrated exceptional accuracy (≥97.25%) with eyes open and closed, surpassing existing methods. The collected CIOP and MEM data could be wirelessly aggregated and transmitted to portable devices via integrated acquisition modules within frame glasses for real-time eye healthcare. Emerging noninvasive and bimodal modalities reconcile the trade-off between minimal discomfort, eye status, and reliable measurement, spurring the widespread adoption of the integrated monitoring system for continuous ocular health monitoring.
慢性眼科疾病具有多变量、随时间变化和退行性的特点。智能隐形眼镜已成为用于无创眼部信号检测和疾病诊断的可扩展平台。然而，在临床医学中，对多个眼部参数进行实时监测和解耦，尤其是在眼睛闭合时，仍然具有挑战性。在这项工作中，我们提出了一种可拉伸的双峰隐形眼镜（BCL），它融合了自解耦电磁电容式眼内压（CIOP）和磁眼动（MEM）监测组件。三明治式集成的BCL可以紧密地附着在眼球上，实现闭眼、无线且精确的信号采集而不受干扰。在眼睛睁开和闭合过程中，蛇形几何形状的CIOP单元在兔模型上得到验证，对于可逆的眼压从低到高波动，实现了超高分辨率（1 mmHg）和灵敏度（≥0.22 MHz/mmHg）。基于成分优化的磁性夹层膜的离体和在体MEM监测，在眼睛睁开和闭合时都显示出卓越的准确性（≥97.25%），超过了现有方法。收集到的CIOP和MEM数据可以通过集成在框架眼镜内的采集模块无线汇总并传输到便携式设备，以进行实时眼部健康护理。新兴的无创和双峰模式协调了最小不适感、眼部状态和可靠测量之间的权衡，促使集成监测系统广泛应用于持续的眼部健康监测。
