Paintable on-skin dry electrodes with robust skin and device connection for wireless sensing and human–machine interfaces
Wanqing Zhang, Xin Xin, Yuqi Wang, Xianzhe Zhang, Senhao Zhang, Yangbo Yuan, Shihao Xia, Abu Musa Abdullah 等 18 位
Pennsylvania State University Institute for Biomedicine Drexel University National Sun Yat-sen University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
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.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
工程Advanced Sensor and Energy Harvesting Materials
Nanomaterials and Printing Technologies · Dielectric materials and actuators
参考文献 57
此处列出前 3 条