Liu Haogeng, Li Haichuan, Wang Yexiong, Liu Yan, Xiao Lizhi, Guo Weidong, Lin Yaoguang, Wang Hongteng, Wang Tianqi, Yan Haiwang, Lai Shunkai, Chen Yaofei, Mou Zongxia, Chen Lei, Luo Yunhan, Liu Gui-Shi, Zhang Xingcai
College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou 510632, China.
School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.
Nano Lett. 2024 Dec 25;24(51):16221-16230. doi: 10.1021/acs.nanolett.4c02474. Epub 2024 Nov 27.
Electrophysiological (EP) signals are key biomarkers for monitoring mental fatigue (MF) and general health, but state-of-the-art wearable EP-based MF monitoring systems are bulky and require user-specific, labeled data. Ultrathin epidermal electrodes with high performance are ideal for constructing imperceptive EP sensing systems; however, the lack of a simple and scalable fabrication delays their application in MF recognition. Here, we report a facile, scalable printing-welding-transferring strategy (PWT) for printing μm-thickness micropatterned silver nanowires (AgNWs)/sticky polydimethylsiloxane, welding the AgNWs via plasmonic effect, and transferring the electrode to skin as tattoos. The PWT provides electrodes with conformability, comfort, and stability for EP sensing. Leveraging the facile and scalable PWT, we develop plug-and-play wireless multimodal epidermal electronics integrated with an unsupervised transfer learning (UTL) scheme for MF recognition across various users. The UTL adaptively minimizes the intersubject difference and achieves high accuracy, without demand of expensive computation and labels from target users.
电生理（EP）信号是监测精神疲劳（MF）和总体健康状况的关键生物标志物，但基于EP的最先进可穿戴MF监测系统体积庞大，且需要用户特定的标记数据。具有高性能的超薄表皮电极是构建无感EP传感系统的理想选择；然而，缺乏简单且可扩展的制造方法阻碍了它们在MF识别中的应用。在此，我们报告了一种简便、可扩展的印刷-焊接-转移策略（PWT），用于印刷微米厚度的微图案化银纳米线（AgNWs）/粘性聚二甲基硅氧烷，通过等离子体效应焊接AgNWs，并将电极作为纹身转移到皮肤上。PWT为EP传感提供了具有贴合性、舒适性和稳定性的电极。利用简便且可扩展的PWT，我们开发了即插即用的无线多模态表皮电子设备，并集成了无监督转移学习（UTL）方案，用于跨不同用户进行MF识别。UTL自适应地最小化个体间差异并实现高精度，无需昂贵的计算和目标用户的标签。
