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BEATS:一种开源、高精度、多通道脑电图采集工具系统。

BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool System.

作者信息

Zou Bing, Zheng Yubo, Shen Mu, Luo Yingying, Li Lei, Zhang Lin

出版信息

IEEE Trans Biomed Circuits Syst. 2022 Dec;16(6):1287-1298. doi: 10.1109/TBCAS.2022.3230500. Epub 2023 Feb 14.

Abstract

Stable and accurate electroencephalogram (EEG) signal acquisition is fundamental in non-invasive brain-computer interface (BCI) technology. Commonly used EEG acquisition systems' 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 4 kHz 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. There are no packet losses 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.

摘要

稳定而准确的脑电图(EEG)信号采集是无创脑机接口(BCI)技术的基础。常用的EEG采集系统的硬件和软件通常是闭源的。其无法灵活扩展和二次开发是实时BCI研究的主要障碍。本文介绍了北京邮电大学的EEG采集工具系统BEATS。它实现了一个从硬件到软件的综合系统,由模拟前端、微处理器和软件平台组成。BEATS能够以4 kHz的保证采样率采集32通道EEG信号并进行无线传输。与许多EEG领域中使用的最先进系统相比,它显示出更好的采样率。通过使用直接内存访问、先进先出和定时器等技术,采集的精度和稳定性在微秒级别得到保证。在连续采集24小时期间进行了评估。没有丢包,平均最大延迟仅为0.07秒/小时。此外,作为一个开源系统,BEATS提供了详细的设计文件,并采用插件结构和易于获取的材料,这使得它可以快速重现。

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