Real-Time EEG Acquisition System for FPGA-based BCI

Multichannel electroencephalograph (EEG) signals data acquisition is non-invasive and easy to implement, thus being the preferred brain-related information carriers for Brain Computer Interfaces (BCIs). Since BCIs must be capable of processing information in real-time, their implementation in edge devices is currently being boosted, particularly on FieldProgrammable Gate Arrays (FPGA). In this work, a real-time EEG acquisition system based on the XADC of the Xilinx Zynq FPGA is presented, meeting the requirements of a well-known BCI processing algorithm, the EEGNet. Performed tests show minimal error in the acquisition, whose effects in the EEGNet accuracy are negligible.