论文标题
PIEEG：将覆盆子PI变成脑部计算机界面以测量生物信号
PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals
论文作者
论文摘要
本文提出了一个便宜，高精度的，但与此同时，易于维护的PIEEG板将RaspberryPi转换为脑部计算机界面。该盾牌允许测量和处理八个实时脑电图（脑电图）信号。我们使用了最受欢迎的编程语言-C，C ++和Python读取设备记录的信号。读取脑电图信号的过程被尽可能完全明确地证明。该设备可以轻松地用于机器学习爱好者，以创建用于使用思想力量控制机器人和机械四肢的项目。我们将在GitHub（https://github.com/ildaron/eegwithraspberrypi）上发布用例，以控制机器人机器，无人驾驶飞机以及更多使用思想的力量。
This paper presents an inexpensive, high-precision, but at the same time, easy-to-maintain PIEEG board to convert a RaspberryPI to a Brain-computer interface. This shield allows measuring and processing eight real-time EEG (Electroencephalography) signals. We used the most popular programming languages - C, C++ and Python to read the signals, recorded by the device . The process of reading EEG signals was demonstrated as completely and clearly as possible. This device can be easily used for machine learning enthusiasts to create projects for controlling robots and mechanical limbs using the power of thought. We will post use cases on GitHub (https://github.com/Ildaron/EEGwithRaspberryPI) for controlling a robotic machine, unmanned aerial vehicle, and more just using the power of thought.
