Liu Zhengjie, Xu Xingyuan, Huang Shuang, Huang Xinshuo, Liu Zhibo, Yao Chuanjie, He Mengyi, Chen Jiayi, Chen Hui-Jiuan, Liu Jing, Xie Xi
State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou, China.
School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, China.
Microsyst Nanoeng. 2024 May 31;10:72. doi: 10.1038/s41378-024-00702-8. eCollection 2024.
The collection of multiple-channel electrophysiological signals enables a comprehensive understanding of the spatial distribution and temporal features of electrophysiological activities. This approach can help to distinguish the traits and patterns of different ailments to enhance diagnostic accuracy. Microneedle array electrodes, which can penetrate skin without pain, can lessen the impedance between the electrodes and skin; however, current microneedle methods are limited to single channels and cannot achieve multichannel collection in small areas. Here, a multichannel (32 channels) microneedle dry electrode patch device was developed via a dimensionality reduction fabrication and integration approach and supported by a self-developed circuit system to record weak electrophysiological signals, including electroencephalography (EEG), electrocardiogram (ECG), and electromyography (EMG) signals. The microneedles reduced the electrode-skin contact impedance by penetrating the nonconducting stratum corneum in a painless way. The multichannel microneedle array (MMA) enabled painless transdermal recording of multichannel electrophysiological signals from the subcutaneous space, with high temporal and spatial resolution, reaching the level of a single microneedle in terms of signal precision. The MMA demonstrated the detection of the spatial distribution of ECG, EMG and EEG signals in live rabbit models, and the microneedle electrode (MNE) achieved better signal quality in the transcutaneous detection of EEG signals than did the conventional flat dry electrode array. This work offers a promising opportunity to develop advanced tools for neural interface technology and electrophysiological recording.
多通道电生理信号的采集能够全面了解电生理活动的空间分布和时间特征。这种方法有助于区分不同疾病的特征和模式，以提高诊断准确性。微针阵列电极能够无痛穿透皮肤，可降低电极与皮肤之间的阻抗；然而，目前的微针方法仅限于单通道，无法在小面积区域实现多通道采集。在此，通过降维制造和集成方法开发了一种多通道（32通道）微针干电极贴片装置，并由自主研发的电路系统支持，用于记录微弱的电生理信号，包括脑电图（EEG）、心电图（ECG）和肌电图（EMG）信号。微针通过无痛穿透不导电的角质层降低了电极与皮肤的接触阻抗。多通道微针阵列（MMA）能够从皮下空间无痛经皮记录多通道电生理信号，具有高时间和空间分辨率，在信号精度方面达到了单根微针的水平。MMA在活体兔模型中展示了对ECG、EMG和EEG信号空间分布的检测，并且微针电极（MNE）在经皮检测EEG信号时比传统的扁平干电极阵列具有更好的信号质量。这项工作为开发神经接口技术和电生理记录的先进工具提供了一个有前景的机会。
