journal article·2026-05-13

Application of Graphene Dry Electrode in 512-Lead EEG Cap and Real-Time Monitoring EEG System

Jiawei Liu, Xinyi Yang, Mingji Li, Chunhou Zheng, Kun Wang, Xinrong Ren, Bolong Zhang, Hongji Li, Daolian Jiang, Wei Li, Minpeng Xu

ACS Applied Materials & Interfaces· Volume 18· Issue 18
Publisher page

Abstract

Dry electroencephalography (EEG) electrodes with low noise and minimal potential drift are crucial for daily wearable and high-density noninvasive brain–computer interfaces. In this study, a Na-doped vertical graphene dry electrode with a diameter of 2.8 mm was prepared to construct a 512-lead ultrahigh-density EEG cap and wireless 8- and 32-lead EEG headbands. The Na-doped vertical graphene layer has a three-dimensional architectural structure that absorbs sweat from the scalp and converts it into an Na + -mediated solid electrolyte, electrically connecting the device to the scalp. The optimized graphene dry electrodes exhibited low scalp-contact resistance (dry: 3.8–6.5 kΩ, H 2 O: 4.5 kΩ), self-noise (11.1 μV), DC offset voltage (15.6 mV), and potential drift (189.9 μV). The EEG cap, composed of 512 dry graphene electrodes, recorded different rhythm signals with a high signal-to-noise ratio, demonstrating excellent repeatability and long-term stability over 103 days. In addition, a task-state strategy was designed that combined the intensity ratio of fast and slow waves with frequency-domain event-related potentials, demonstrating the reliability of dry electrode headband systems for rapid attention analysis during daily wear. This wearable metal-doped vertical graphene dry-electrode device, especially the 512-lead ultrahigh-density dry-electrode EEG cap, holds promise for applications in brain function research, neuroimaging, and brain–computer interface control.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: EEG and Brain-Computer Interfaces · Neuroscience and Neural Engineering · Muscle activation and electromyography studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Tianjin Key Laboratory of Film Electronic and Communication Devices, School of Integrated Circuit Science and Engineering

Tianjin University of Technology

Academy of Medical Engineering and Translational Medicine, Medical School

Tianjin University

Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion, School of Chemistry and Chemical Engineering

Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration

Funding

National Natural Science Foundation of China · National Science and Technology Major Project

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