Brain-Computer Interface

Research Background and Significance

Non-invasive brain-computer interfaces have garnered significant attention due to their high safety, ease of use, and broad application scenarios. However, the development of high-performance non-invasive EEG electrodes still faces considerable challenges due to limitations of traditional EEG electrodes, including insufficient sensitivity, susceptibility to drying, poor comfort, and difficulty in long-term reuse. To address these issues, the research team engineered a semi-dry hydrogel EEG sensor with superior antibacterial properties through synergistic regulation of polymer monomers, ionic buffers, and chitosan. This innovation enables long-term, stable, and repeatable EEG signal acquisition. In event-related potential (ERP) experiments, the hydrogel electrode successfully captured clear ERP waveforms, achieving a signal-to-noise ratio of 20.02 dB—comparable to conventional wet electrodes (Microsyst. Nanoeng. 2023, 9:79). During continuous wear testing, the electrode-scalp contact impedance remained below 100 kΩ for 12 hours, whereas conventional wet electrodes failed to yield valid signals after 7–8 hours due to dehydration, fully demonstrating the long-term stability of this hydrogel electrode. Furthermore, the incorporation of chitosan endows the electrode with outstanding antimicrobial properties, significantly inhibiting the growth of both Gram-negative and Gram-positive bacteria. This effectively reduces the risk of bacterial infection during prolonged reuse (Microsyst. Nanoeng. 2025, 11:105). This achievement provides a critical material foundation for the large-scale application of non-invasive wearable brain-computer interfaces. Currently, related technologies are accelerating their transformation and implementation in application scenarios such as motor imagery recognition, driving/work fatigue monitoring, and brain cognitive rehabilitation training.

Core Methods and Technologies

Recent Key Developments

Representative Papers: Machine learning-based analysis of the impact of 5′ untranslated region on protein expression Nucleic Acid Research , 2025.9
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