基于pc机的低成本单通道脑电图采集系统的研制

Pranti Tawheed, Jyoti Mollick, Nazmus Sakib, Md Kafiul Islam
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引用次数: 1

摘要

与MRI或ECoG等其他脑成像技术相比,脑电图具有无创性、易用性和低成本等优点,是一种广泛应用于临床和研究的脑记录技术。本课题的目标是建立一个单通道脑电图采集与监测系统,用于研究和教学。利用离散和本地可用的元件,开发了一种低成本的模拟前端,用于Fp1通道(大脑前额叶)位置的脑电信号记录,该模拟前端可通过Arduino UNO与PC机接口,并可在MATLAB平台上进行分析。EEG通常振幅很低(即紫外范围),并且很容易受到噪声的污染,这使得获取高质量的信号(即良好的信噪比)具有挑战性。在硬件上设计并实现的单通道脑电图记录监控系统,可用于移动鼠标光标等多种应用,也可构建人脸解锁等安全系统。这些记录的数据也可以帮助学生更好地理解脑电图,以便进一步分析和处理。硬件上实现的系统成本不到25美元,而可用的EEG设备价格从100多美元起,不包括访问原始EEG的许可成本。实验结果表明,该系统可以成功地记录闭眼时的脑电图节律,特别是α节律(频率约为8-12 Hz)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Low-cost PC-based Single-channel EEG Acquisition System for Educational and Research Purpose
EEG is a widely used brain recording technique for clinical and research purposes due to its non-invasiveness, user-friendliness and low-cost compared with other brain imaging techniques such as MRI or ECoG. The goal of this work is to build a single channel EEG acquisition and monitoring system for research and education purpose. By using discrete and locally available components, a low-cost analog frontend has been developed for EEG recording at channel Fp1 (prefrontal part of brain) location which can be interfaced with PC through Arduino UNO and can be analyzed in MATLAB platform. EEG is usually very low in amplitude (i.e. uV range) and gets contaminated by noise very easily which makes it challenging to acquire a good quality signal (i.e. good SNR). The single channel EEG recording and monitoring system that is designed and implemented in hardware can be used in various application like moving mouse cursor or build a security system like Face-unlocking. This recorded data can also be helpful for students to understand EEG better for further analysis and processing. The implemented system in hardware costs less than 25 USD whereas the available EEG device price starts from 100+ USD excluding the license cost to access the raw EEG. The developed system is tested and found that it can successfully record the EEG rhythms, especially the Alpha rhythms (dominates around 8–12 Hz frequency) during eye close.
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