EEGu2: an embedded device for brain/body signal acquisition and processing

摘要: Brain/Body Computer Interface (BBCI) technology facilitates research in human cognition and assistive technologies. BBCI acquires analyzes physiological signals from body/brain such as electroencephalography (EEG) to observe states potentially enable external control. devices require accurate data acquisition systems with sufficient dynamic range for various brain/body signals. Also, embedded processing is desirable real-time interaction flexible deployment. However, most off-the-shelf are very costly, e.g. g.USBamp at $15K do not offer processing. Hence, an open device needed foster the research. This paper proposes EEGu2 a portable device. Based on BeagleBone Black (BBB), integrates custom-designed cape including 2 PCBs: board 16-channel 24-bit up 1KHz sampling frequency power wall charging powering mobile operations. measurement shows high accuracy 25dB signal-to-noise ratio 0.785μV peak-to-peak input referred noise. At maximum performance, consumes 101.2 mW while BBB 1850 mW. With two lithium batteries, operates independently 12 hours. We demonstrate flexibility portability of context Human-in-the-Loop Cyber-Physical Systems (HiLCPS) that augments physical world through BBCI. The firmware integrated into HiLCPS Framework location transparent access via MATLAB interface. empowers rapid application deployment we show BCI Speller EEG infers user spelling based Steady State Visually Evoked Potential.