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About this paper
Bing Zou, Yubo Zheng, Mu Shen, Yingying Luo, Lei Li, Lin Zhang
An open-source, high-precision, multi-channel EEG acquisition system, BEATS, was developed to provide 32 channels of EEG signals at a 4 kHz sampling rate with verified stability and no data loss over 24 hours of continuous operation. The system also demonstrated the ability to acquire other electrophysiological signals and distinguish emotional states through spectral analysis.
Key insights
- Combining a daisy-chain ADC configuration with a high-precision external clock and robust power management enables the simultaneous achievement of a high channel count (32) and a high sampling rate (4 kHz) in an EEG acquisition system.
- The integration of concurrency mechanisms such as interrupts, DMA, FIFO, and multi-threading across hardware and software components is crucial for guaranteeing microsecond-level precision, preventing data loss, and ensuring stability during continuous, long-duration data acquisition.
- An open-source design, including detailed hardware schematics and software code, significantly lowers the barrier to entry, promotes reproducibility, and facilitates customization and collaborative advancement in BCI research.
Summary by alphaXiv.
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