All-printed nanomembrane wireless bioelectronics using a biocompatible solderable graphene for multimodal human-machine interfaces

作者：Young‐Tae Kwon, Yun‐Soung Kim, Shinjae Kwon, Musa Mahmood, Hyo‐Ryoung Lim, Si-Woo Park, Sung‐Oong Kang, Jeongmoon J. Choi, Robert Herbert, Young Charles Jang, Yong‐Ho Choa, Woon‐Hong Yeo · 发表于：Nature Communications · 年份：2020 · DOI：10.1038/s41467-020-17288-0 · 被引用次数：231 · 研究领域：Advanced Sensor and Energy Harvesting Materials、Conducting polymers and applications、Neuroscience and Neural Engineering

Recent advances in nanomaterials and nano-microfabrication have enabled the development of flexible wearable electronics. However, existing manufacturing methods still rely on a multi-step, error-prone complex process that requires a costly cleanroom facility. Here, we report a new class of additive nanomanufacturing of functional materials that enables a wireless, multilayered, seamlessly interconnected, and flexible hybrid electronic system. All-printed electronics, incorporating machine learning, offers multi-class and versatile human-machine interfaces. One of the key technological advancements is the use of a functionalized conductive graphene with enhanced biocompatibility, anti-oxidation, and solderability, which allows a wireless flexible circuit. The high-aspect ratio graphene offers gel-free, high-fidelity recording of muscle activities. The performance of the printed electronics is demonstrated by using real-time control of external systems via electromyograms. Anatomical study with deep learning-embedded electrophysiology mapping allows for an optimal selection of three channels to capture all finger motions with an accuracy of about 99% for seven classes.