A Portable Real-time Multi-channel Frontal EEG Acquisition System Integrated with an Ultra-thin Biocompliant Anti-oxidation Electrode Patch

Electroencephalogram (EEG) is the most commonly used tool for exploring dynamic brain activity. However, the commonly-used electrodes for EEG measurement are mostly rigid and require coating of conductive gels that is not user-friendly and makes the devices difficult for long-lasting recording. Furthermore, the typical EEG acquisition system is large in size and not economic, limiting the convenience in personalized application. Herein, a portable multi-channel EEG recorder with new designs of both electrodes and signal acquisition system is proposed. An ultra-thin stretchable electrode array patch, called USAE, composed of synthesized dopamine-modified silver-platinum nanowires (Dopa-Ag@Pt NWs) was created with strain-tolerated high conductivity, anti-oxidation ability, and adhesive ability, thus providing good reliability and high signal quality during long-term use. A dopamine-inspired transfer printing process permitted the integration of NWs into an ultrathin silicone substrate with thickness less than 100 μm. After connected with a miniaturized module composed of multi-channel pre-amplifier and a low-power bio-signal microcontroller, the system successfully conducts real-time 8-channel EEG measurements for monitoring of dynamic brain activity. Compared to conventional EEG measurement systems, this proposed system can not only provide stable and high-quality signals but can also significantly reduce the overall operation cost and power consumption, offering a promising platform in the application of brain-machine interfaces.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-01-01
DOI
https://doi.org/10.1109/jsen.2025.3607407
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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article

A Portable Real-time Multi-channel Frontal EEG Acquisition System Integrated with an Ultra-thin Biocompliant Anti-oxidation Electrode Patch

Po-Hsueh Chang, Herming Chiueh, Wei‐Chen Huang, Ru-Zheng Lin et al.
IEEE Sensors Journal
EEG and Brain-Computer Interfaces
article

A Portable Real-time Multi-channel Frontal EEG Acquisition System Integrated with an Ultra-thin Biocompliant Anti-oxidation Electrode Patch

Po-Hsueh Chang, Herming Chiueh, Wei‐Chen Huang, Ru-Zheng Lin, Weihan Huang, Jianyu Chen, Chun-Chang Lin
article en

Abstract

Electroencephalogram (EEG) is the most commonly used tool for exploring dynamic brain activity. However, the commonly-used electrodes for EEG measurement are mostly rigid and require coating of conductive gels that is not user-friendly and makes the devices difficult for long-lasting recording. Furthermore, the typical EEG acquisition system is large in size and not economic, limiting the convenience in personalized application. Herein, a portable multi-channel EEG recorder with new designs of both electrodes and signal acquisition system is proposed. An ultra-thin stretchable electrode array patch, called USAE, composed of synthesized dopamine-modified silver-platinum nanowires (Dopa-Ag@Pt NWs) was created with strain-tolerated high conductivity, anti-oxidation ability, and adhesive ability, thus providing good reliability and high signal quality during long-term use. A dopamine-inspired transfer printing process permitted the integration of NWs into an ultrathin silicone substrate with thickness less than 100 μm. After connected with a miniaturized module composed of multi-channel pre-amplifier and a low-power bio-signal microcontroller, the system successfully conducts real-time 8-channel EEG measurements for monitoring of dynamic brain activity. Compared to conventional EEG measurement systems, this proposed system can not only provide stable and high-quality signals but can also significantly reduce the overall operation cost and power consumption, offering a promising platform in the application of brain-machine interfaces.

IEEE Sensors Journal
ITRI International (US), National Yang Ming Chiao Tung University (TW), Industrial Technology Research Institute (TW)
Openalex Percentile: Top 75%
EEG and Brain-Computer Interfaces
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