Department of Software Engineering, Kaunas University of Technology, Studentu St. 50, LT-51368 Kaunas, Lithuania.
Sensors (Basel). 2018 Jul 3;18(7):2140. doi: 10.3390/s18072140.
The increased popularity of brain-computer interfaces (BCIs) has created a new demand for miniaturized and low-cost electroencephalogram (EEG) acquisition devices for entertainment, rehabilitation, and scientific needs. The lack of scientific analysis for such system design, modularity, and unified validation tends to suppress progress in this field and limit supply for new low-cost device availability. To eliminate this problem, this paper presents the design and evaluation of a compact, modular, battery powered, conventional EEG signal acquisition board based on an ADS1298 analog front-end chip. The introduction of this novel, vertically stackable board allows the EEG scaling problem to be solved by effectively reconfiguring hardware for small or more demanding applications. The ability to capture 16 to 64 EEG channels at sample rates from 250 Hz to 1000 Hz and to transfer raw EEG signal over a Bluetooth or Wi-Fi interface was implemented. Furthermore, simple but effective assessment techniques were used for system evaluation. While conducted tests confirm the validity of the system against official datasheet specifications and for real-world applications, the proposed quality verification methods can be further employed for analyzing other similar EEG devices in the future. With 6.59 microvolts peak-to-peak input referred noise and a −97 dB common mode rejection ratio in 0⁻70 Hz band, the proposed design can be qualified as a low-cost precision cEEG research device.
脑机接口（BCI）的日益普及，为娱乐、康复和科学需求创造了对小型化、低成本脑电图（EEG）采集设备的新需求。由于缺乏针对此类系统设计、模块化和统一验证的科学分析，该领域的进展受到抑制，限制了新低成本设备的供应。为了解决这个问题，本文提出了一种基于 ADS1298 模拟前端芯片的紧凑型、模块化、电池供电、常规 EEG 信号采集板的设计和评估。这款新型垂直堆叠式电路板的引入，通过有效重新配置硬件，为小型或更苛刻的应用解决了 EEG 扩展问题。该电路板能够以 250 Hz 至 1000 Hz 的采样率采集 16 到 64 个 EEG 通道，并通过蓝牙或 Wi-Fi 接口传输原始 EEG 信号。此外，还采用了简单但有效的评估技术进行系统评估。虽然进行的测试确认了该系统与官方数据表规格的有效性以及在实际应用中的有效性，但所提出的质量验证方法可在未来进一步用于分析其他类似的 EEG 设备。该设计的输入参考噪声为峰峰值 6.59 微伏，在 0⁻70 Hz 频段的共模抑制比为-97 dB，可视为低成本精密 cEEG 研究设备。
