可穿戴计算机
电极
计算机科学
接口(物质)
工件(错误)
块(置换群论)
材料科学
电阻抗
无线
个性化
人工智能
信号(编程语言)
可穿戴技术
可扩展性
模态(人机交互)
生物医学工程
计算机硬件
计算机视觉
电极阵列
流离失所(心理学)
导电体
机器人学
分层(地质)
数据采集
共形矩阵
频道(广播)
方向(向量空间)
三角测量
接触力
声学
电容感应
失真(音乐)
工作(物理)
显微神经学
图像传感器
作者
Wanqing Zhang,Xin Xin,Yuqi Wang,Xianzhe Zhang,Senhao Zhang,Yangbo Yuan,Shihao Xia,Abu Musa Abdullah,Fatema Tuz Zohra,Bowen Li,Jiayu Yang,Ankan Dutta,Zhuo Liu,Anna Beatriz Pacheco Lima,Yan Su,Jun Zhong,Cheng‐Hsin Chuang,Huanyu Cheng
标识
DOI:10.1073/pnas.2615835123
摘要
Reliable and continuous electrophysiological recording is important for health monitoring and human–machine interactions. However, most existing epidermal electrodes suffer from either limited skin–electrode contact during skin deformation and sweating, or unstable connections between soft electrodes and relatively rigid data acquisition systems due to the inherent mechanical mismatch. Besides, their lack of personalization further discourages long-term use, particularly among children, adolescents, and individuals sensitive to stigma. Here, this work presents a paintable, drawn-on-skin dry electrode that forms an ultraconformal interface on hierarchically textured skin topographies with a thickness gradient to minimize interfacial stress, achieving low contact impedance (10.8 kΩ cm 2 ) and high adhesion (~963 kPa) on skin. The resulting electrodes are customizable in shape and color, transforming them from “medical devices” into playful wearable accessories, thus enhancing user compliance and long-term wearability. Moreover, the in situ paintability enables seamless integration with porous silver textile connectors, yielding an interlocked junction with a built-in modulus gradient for stable signal transmission. The versatility of this platform is demonstrated through diverse use cases, including wireless electrocardiogram monitoring during long-term complex daily activities, machine learning-enabled electromyogram for gesture recognition and robotic hand control, and through-hair electroencephalogram detection for neural response analysis. In addition, the absence of image artifact highlights its potential for multimodal MRI imaging and electrophysiology. Overall, this strategy establishes a personalized, scalable platform for next-generation electronic tattoos toward continuous healthcare and interactive bioelectronics.
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