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Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
Published on: July 22, 2022
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Flexible graphene/GO electrode for gel-free EEG
Li-Wei Ko1,2,3,4, Cheng-Hua Su1,2, Pei-Lun Liao2,3
1Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan.
Journal of Neural Engineering
|April 8, 2021
Summary
This study introduces an affordable graphene/GO-based dry electrode for brain-computer interfaces (BCIs). The new electrode offers good signal quality for electroencephalography (EEG) applications, making BCIs more accessible.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Materials Science
Background:
- Advancements in electroencephalography (EEG) enable brain-computer interface (BCI) use outside labs.
- High-quality, biocompatible dry electrodes are crucial for long-term EEG monitoring in BCI.
- Previous Ag-flake electrodes were effective but costly for commercial use.
Purpose of the Study:
- Develop a cost-effective dry electrode for BCI applications using graphene/GO.
- Investigate the impact of varying graphene/GO content on electrode performance.
- Evaluate the dry electrode's suitability for real-world EEG recording and BCI tasks.
Main Methods:
- Fabricated dry electrodes using silicone gel, metal flakes, and graphene/GO.
- Produced two electrode types with differing graphene/GO concentrations.
- Assessed electrode impedance, signal correlation with wet electrodes, and EEG recording quality.
- Tested steady-state visually evoked potential (SSVEP) detection capabilities.
Main Results:
- Graphene/GO electrodes exhibited low impedance and strong signal correlation with wet electrodes.
- Good signal quality was achieved in eyes-open EEG recordings.
- Higher graphene/GO content led to surface irregularities and reduced signal quality.
- Dry electrodes reliably detected SSVEP, even in hairy scalp areas.
Conclusions:
- The developed graphene/GO dry electrode is a cost-effective alternative for BCI.
- The electrode demonstrates sufficient signal quality and reliability for BCI applications.
- Optimizing graphene/GO concentration is key to maximizing electrode performance.

