论文标题
Beats：开源，高精度，多频道脑电图采集工具系统
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool System
论文作者
论文摘要
稳定，准确的脑电图（EEG）信号采集在非侵入性脑部计算机界面（BCI）技术中至关重要。常用的脑电图采集系统的硬件和软件通常是封闭的。它无法灵活扩张和二级发展是实时BCI研究的主要障碍。本文介绍了北京邮政与电信大学的脑电图收购工具系统，名为Beats。它实现了一个从硬件到软件的全面系统，该系统由模拟前端，微处理器和软件平台组成。 BEATS能够以无线传输的保证为4K Hz收集32通道EEG信号。与许多脑电图领域中使用的最新系统相比，它显示出更好的采样率。使用包括直接内存访问的技术，首先是首先和计时器，在微秒级别确保了采集的精度和稳定性。在连续收购24小时内进行评估。数据丢失为0数据包，平均最大延迟仅为0.07 s/h。此外，作为开源系统，Beats提供了详细的设计文件，并采用了插入式结构和易于访问的材料，这可以快速复制。示意图，源代码和其他节拍的材料可在https://github.com/buptanteeg/beats上找到。
Stable and accurate electroencephalogram (EEG) signal acquisition is fundamental in non-invasive brain-computer interface (BCI) technology. Commonly used EEG acquisition system's hardware and software are usually closed-source. Its inability to flexible expansion and secondary development is a major obstacle to real-time BCI research. This paper presents the Beijing University of Posts and Telecommunications EEG Acquisition Tool System named BEATS. It implements a comprehensive system from hardware to software, composed of the analog front-end, microprocessor, and software platform. BEATS is capable of collecting 32-channel EEG signals at a guaranteed sampling rate of 4k Hz with wireless transmission. Compared to state-of-the-art systems used in many EEG fields, it displays a better sampling rate. Using techniques including direct memory access, first in first out, and timer, the precision and stability of the acquisition are ensured at the microsecond level. An evaluation is conducted during 24 hours of continuous acquisitions. The data loss is 0 packets and the average maximum delay is only 0.07 s/h. Moreover, as an open source system, BEATS provides detailed design files, and adopts a plug-in structure and easy-to-access materials, which makes it can be quickly reproduced. Schematics, source code, and other materials of BEATS are available at https://github.com/buptantEEG/BEATS.
