脑电探测及其仪器研制

ELECTROENCEPHALOGRAPHY SENSORING WITH INSTRUMENT DEVELOPMENT

张旭

11930211

硕士

材料工程

王太宏

2021-05-23

2021-05-23

南方科技大学

深圳

脑信息采集是对神经科学、人体健康乃至信息学都至关重要的技术，是研究人脑奥秘的关键技术，而脑电信号采集作为其中应用最广泛的一种技术，其重要性更加凸显，目前，对于头皮脑电检测在放大电路以及模拟数字转换电路上进行相应的工作，使得尽量检测细微的脑电信号变换。本文另辟蹊径，从电极材料入手，利用离子水凝胶实现稳定的脑电感知，并构建了包括硬件、软件的人机交互的采集系统。本文对利用离子水凝胶的离子导电特性，将脑电采集通路中的接触电阻以及传递阻抗稳定下来，实现稳定的脑电感知，为了得到针对脑电测量合适的高粘附性水凝胶，利用实验找到了最优的浓度与固化参数，并且，结合了理论化学阻抗模型，得到了针对脑电检测频段的低电学阻抗成分；为避免普通电极材料(湿电极)采集时脑电分辨率因导电膏扩散而降低，采用长柱状水凝胶接触头皮，使得脑电采集分辨率提升；对于脑电测量时候的多通道以及移动需求，搭建了多通道脑电采集模块，并结合了实时的脑电显示与成分分解算法(小波算法)，进行实时分析；结合水凝胶的力学特性，对脑电的长时间检测进行了很好的优化。基于上述思想，本文对脑电信号检测以及其检测平台进行了完善的搭建。

Brain information collection is a technology that is vital to neuroscience, human health, and even informatics. It is a key technology for studying the mysteries of the human brain. As the most widely used technology, the importance of EEG signal collection is even more prominent. At present, for scalp EEG detection, corresponding work is performed on the amplifying circuit and the analog-digital conversion circuit, so as to detect the subtle EEG signal transformation as much as possible. In this paper, starting from the electrode materials, using ion hydrogel to realize stable EEG perception, and constructing a human-computer interaction acquisition system including hardware and software.This article uses the ion conductive properties of ionic hydrogel to stabilize the contact resistance and transfer impedance in the EEG acquisition path to achieve stable EEG perception. In order to obtain a high-adhesion hydrogel suitable for EEG measurement, The optimal concentration and curing parameters were found through experiments, and combined with the theoretical chemical impedance model, low electrical impedance components for the EEG detection frequency band were obtained; in order to avoid EEG resolution factors during the acquisition of ordinary electrode materials (wet electrodes) The conductive paste spreads and decreases, and the long columnar hydrogel is used to contact the scalp, which improves the resolution of EEG acquisition; for the multi-channel and mobile requirements of EEG measurement, a multi-channel EEG acquisition module is built, and it combines real-time brain The electric display and component decomposition algorithm (wavelet algorithm) are used for real-time analysis; combined with the mechanical properties of the hydrogel, the long-term detection of EEG is well optimized. Based on the above thoughts, this article has perfected the EEG signal detection and its detection platform.

脑电信号 信号采集 水凝胶 硬件系统

EEG signal signal acquisition hydrogel hardware system

中文

独立培养

南方科技大学

张旭. 脑电探测及其仪器研制[D]. 深圳. 南方科技大学,2021.